Difference between revisions of "Variables"
From WikiROMS
m (Text replacement - "IS4DVAR" to "I4DVAR") (change visibility) |
m (Text replacement - "W4DPSAS_FCT_SENSITIVITY" to "RBL4DVAR_FCT_SENSITIVITY") (change visibility) |
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<section begin=ntimes_ana />;<span id="ntimes_ana"></span>[[ntimes_ana]] | <section begin=ntimes_ana />;<span id="ntimes_ana"></span>[[ntimes_ana]] | ||
− | :Total number time-steps for computing observations impacts interval during the analysis cycle. It is only used when [[Options# | + | :Total number time-steps for computing observations impacts interval during the analysis cycle. It is only used when [[Options#RBL4DVAR_FCT_SENSITIVITY|RBL4DVAR_FCT_SENSITIVITY]] is activated. |
− | :'''option =''' [[Options# | + | :'''option =''' [[Options#RBL4DVAR_FCT_SENSITIVITY|RBL4DVAR_FCT_SENSITIVITY]] |
:'''routine =''' [[mod_fourdvar.F]], [[obs_sen_w4dpsas_forecast.h]] | :'''routine =''' [[mod_fourdvar.F]], [[obs_sen_w4dpsas_forecast.h]] | ||
:'''keyword =''' NTIMES_ANA | :'''keyword =''' NTIMES_ANA | ||
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<section begin=ntimes_fct />;<span id="ntimes_fct"></span>[[ntimes_fct]] | <section begin=ntimes_fct />;<span id="ntimes_fct"></span>[[ntimes_fct]] | ||
− | :Total number of timesteps for computing observations impacts interval during the forecast cycle. It is only used when [[Options# | + | :Total number of timesteps for computing observations impacts interval during the forecast cycle. It is only used when [[Options#RBL4DVAR_FCT_SENSITIVITY|RBL4DVAR_FCT_SENSITIVITY]] is activated. |
− | :'''option =''' [[Options# | + | :'''option =''' [[Options#RBL4DVAR_FCT_SENSITIVITY|RBL4DVAR_FCT_SENSITIVITY]] |
:'''routine =''' [[mod_fourdvar.F]], [[obs_sen_w4dpsas_forecast.h]] | :'''routine =''' [[mod_fourdvar.F]], [[obs_sen_w4dpsas_forecast.h]] | ||
:'''keyword =''' NTIMES_FCT | :'''keyword =''' NTIMES_FCT |
Revision as of 17:23, 22 July 2020
Variables
This wikipage includes all ROMS global variables in alphabetic order. A single long page is built to facilitate printing. Each variable has a unique anchor tag to facilitate linking from any wikipage.
Contents | |||||||||||||||||||||||||
A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z |
A
- ad_Akt_fac
- Adjoint-based algorithms vertical mixing, basic state, scale factor (nondimensional) for active (NAT) and inert (NPT) tracer variables. In some applications, smaller/larger values of vertical mixing are necessary for stability. It is only used when the CPP option FORWARD_MIXING is activated.
- dimension = ad_Akt_fac(MT,Ngrids)
- option = FORWARD_MIXING
- routine = mod_scalars.F
- keyword = ad_AKT_fac
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- ad_Akv_fac
- Adjoint-based algorithms vertical mixing, basic state, scale factor (nondimensional) for momentum. In some applications, smaller/larger values of vertical mixing are necessary for stability. It is only used when the CPP option FORWARD_MIXING is activated.
- dimension = ad_Akv_fac(Ngrids)
- option = FORWARD_MIXING
- routine = mod_scalars.F
- keyword = ad_AKV_fac
- input = roms.in
- ad_LBC
- Adjoint-based algorithms lateral boundary conditions.
- dimension = ad_LBC(4,nLBCvar,Ngrids)
- option =
- routine = mod_param.F
- keyword = ad_LBC
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- ad_tnu2
- Adjoint-based algorithms lateral, harmonic, constant, mixing coefficient (m^{2}/s) for active (NAT) and inert (NPT) tracer variables. If variable horizontal diffusion is activated, ad_tnu2 is the mixing coefficient for the largest grid-cell in the domain. In some applications, a larger value than what is used in the nonlinear model (basic state) is necessary for stability.
- dimension = ad_tnu2(MT,Ngrids)
- option =
- routine = mod_scalars.F
- keyword = ad_TNU2
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- ad_tnu4
- Adjoint-based algorithms lateral, harmonic, constant, mixing coefficient (m^{4}/s) for active (NAT) and inert (NPT) tracer variables. If variable horizontal diffusion is activated, ad_tnu4 is the mixing coefficient for the largest grid-cell in the domain. In some applications, a larger value than what is used in the nonlinear model (basic state) is necessary for stability.
- dimension = ad_tnu4(MT,Ngrids)
- option =
- routine = mod_scalars.F
- keyword = ad_TNU4
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- ad_visc2
- Adjoint-based algorithms lateral, harmonic, constant, mixing coefficient (m^{2}/s) momentum. If variable horizontal viscosity is activated, ad_visc2 is the mixing coefficient for the largest grid-cell in the domain. In some applications, a larger value than what is used in the nonlinear model (basic state) is necessary for stability.
- dimension = ad_visc2(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = ad_VISC2
- input = roms.in
- ad_visc4
- Adjoint-based algorithms lateral, harmonic, constant, mixing coefficient (m^{4}/s) for momentum. If variable horizontal viscosity is activated, ad_visc4 is the mixing coefficient for the largest grid-cell in the domain. In some applications, a larger value than what is used in the nonlinear model (basic state) is necessary for stability.
- dimension = ad_visc4(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = ad_VISC4
- input = roms.in
- ad_VolCons
- Lateral open boundary edge volume conservation switch for adjoint-based algorithms. This is usually activated with radiation boundary conditions to enforce global mass conservation. Notice that these switches should not be activated if tidal forcing enabled.
- dimension = ad_VolCons(4,Ngrids)
- option =
- routine = mod_scalars.F
- keyword = ad_VolCons
- input = roms.in
- ADM
- Adjoint output NetCDF file name. Ngrids values are expected.
- dimension = ADM(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = ADJNAME
- input = roms.in
- ADS
- Adjoint sensitivity functionals input NetCDF file name. Ngrids values are expected.
- dimension = ADS(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = ADSNAME
- input = roms.in
- Akk_bak
- Background vertical mixing coefficient for turbulent kinetic energy. Ngrids values are expected.
- dimension = Akk_bak(Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keyword = AKK_BAK
- input = roms.in
- Akp_bak
- Background vertical mixing coefficient for turbulent kinetic generic statistical field, psi. Ngrids values are expected.
- dimension = Akp_bak(Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keyword = AKP_BAK
- input = roms.in
- Akt_bak
- Background vertical mixing coefficient for tracer type variables.
- dimension = Akt_bak(MT,Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keywords = AKT_BAK, MUD_AKT_BAK, SAND_AKT_BAK
- input = biology.in, roms.in, sediment.in
- Akt_limit
- Upper threshold values to limit vertical mixing coefficients computed from vertical mixing parameterizations for tracer type variables. Although this is an engineering fix, the vertical mixing values inferred from ocean observations are rarely higher than this upper limit value.
- dimension =
- units = meters^{2} second^{-1}
- option =
- routine = gls_corstep.F, lmd_vmix.F, mod_scalars.F, my25_corstep.F
- keywords = AKT_LIMIT
- input = roms.in
- Akv_bak
- Background vertical mixing coefficient for momentum. Ngrids values are expected.
- dimension = Akv_bak(Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keyword = AKV_BAK
- input = roms.in
- Akv_limit
- Upper threshold values to limit vertical mixing coefficients computed from vertical mixing parameterizations for momentum. Although this is an engineering fix, the vertical mixing values inferred from ocean observations are rarely higher than this upper limit value.
- dimension =
- units = meters^{2} second^{-1}
- option =
- routine = gls_corstep.F, lmd_vmix.F, mod_scalars.F, my25_corstep.F
- keywords = AKV_LIMIT
- input = roms.in
- Aout
- Set of switches that determine what fields are written to the averages output file (AVGname).
- dimension = Aout(NV,Ngrids)
- option =
- routine = mod_ncparam.F
- keyword = Aout
- input = roms.in
- aparnam
- Assimilation parameters input file name.
- option =
- routine = mod_iounits.F
- keyword = APARNAM
- input = roms.in
- AVG
- Averages output NetCDF file name. Ngrids values are expected.
- dimension = AVG(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = AVGNAME
- input = roms.in
B
- balance
- Balance operator logical switches for state variables to consider in the error covariance off-diagonal multivariate constraints:
- Guidlines:
- The salinity contribution, balance(isSalt), depends only on temperature. Notice that temperature is used establish the balanced part of the other state variables.
- The free-surface contribution, balance(isFsur), depends on salinity since we need to compute balanced density and integrate properly using LNM_flag and LNM_depth. This implies that balance(isSalt) needs to be TRUE too. It is independent of the 2D or 3D balance velocity terms.
- The 3D momentum, balance(isVvel), depends on salinity since we need to compute balanced density. This implies that balance(isSalt) needs to be TRUE too.
- dimension = balance(NV)
- routine = ad_balance.F, mod_scalars.F, read_asspar.F, tl_balance.F, zeta_balance.F
- keyword = balance
- input = s4dvar.in
- blk_ZQ
- Height of surface air humidity measurement. Usually recorded at 10 meters. Ngrids values are expected.
- dimension = blk_ZQ(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = BLK_ZQ
- input = roms.in
- blk_ZT
- Height of surface air temperature measurement. Usually recorded at 2 or 10 meters. Ngrids values are expected.
- dimension = blk_ZT(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = BLK_ZT
- input = roms.in
- blk_ZW
- Height of surface winds measurement. Usually recorded at 10 meters. Ngrids values are expected.
- dimension = blk_ZW(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = BLK_ZW
- input = roms.in
- bparnam
- Biology parameters input file name.
- option =
- routine = mod_iounits.F
- keyword = BPARNAM
- input = roms.in
- BRY
- Open boundary conditions input NetCDF file name. Ngrids values are expected.
- dimension = BRY(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = BRYNAME
- input = roms.in
- bvf_bak
- Background Brunt-Vaisala frequency squared. Typical values for the ocean range (as a function of depth) from 1.0E-4 to 1.0E-6.
- units = seconds^{-2}
- routine = mod_scalars.F
- keyword = BVF_BAK
- input = roms.in
C
- charnok_alpha
- Charnok surface roughness used in the various formulations of surface turbulent kinetic energy flux in the GLS. Ngrids values are expected.
- dimension = charnok_alpha(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = CHARNOK_ALPHA
- input = roms.in
- CLM
- Climatology input NetCDF file name. Ngrids values are expected.
- dimension = CLM(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = CLMNAME
- input = roms.in
- CnormB
- Compute (T/F) open boundary conditions error covariance normalization factors:
- dimension = CnormB(MstateVar, 4)
- routine = mod_scalars.F, normalization.F, read_asspar.F
- keyword = CnormB
- input = s4dvar.in
- CnormF
- Compute (T/F) surface forcing error covariance normalization factors:
- dimension = CnormF(2 + NT)
- routine = read_asspar.F
- keyword = CnormF
- input = s4dvar.in
- CnormI
- Compute (T/F) initial conditions error covariance normalization factors:
- dimension = CnormI(MstateVar)
- routine = read_asspar.F
- keyword = CnormI
- input = s4dvar.in
- CnormM
- Compute (T/F) model error covariance normalization factors:
- dimension = CnormM(MstateVar)
- routine = read_asspar.F
- keyword = CnormM
- input = s4dvar.in
- crgban_cw
- Surface flux due to Craig and Banner wave breaking used in the various formulations of surface turbulent kinetic energy flux in the GLS. Ngrids values are expected.
- dimension = crgban_cw(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = CRGBAN_CW
- input = roms.in
- Csed
- Sediment concentration used in analytical initial conditions. It is used to initialize full 3D cohesive and non-cohesive constant (homogeneous) concentrations of sediment.
- dimension = Csed(NST,Ngrids)
- units = kilograms meter^{-3}
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_CSED, SAND_CSED
- input = sediment.in
D
- Dcrit
- Minimum depth for wetting and drying. Ngrids values are expected.
- dimension = Dcrit(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = DCRIT
- input = roms.in
- DendS
- Ending day for adjoint sensitivity forcing. Ngrids values are expected.
- Note: The adjoint forcing is applied at every time step according to desired state functional stored in the adjoint sensitivity NetCDF file. DstrS must be less than or equal to DendS. If both values are zero, their values are reset internally to the full range of the adjoint integration.
- dimension = DendS(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = DendS
- input = roms.in
- DIA
- Diagnostics output NetCDF file name. Ngrids values are expected.
- dimension = DIA(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = DIANAME
- input = roms.in
- Dout
- Set of switches that determine what fields are written to the diagnostics output file (DIAname).
- dimension = Dout(NV,Ngrids)
- option =
- routine = mod_ncparam.F
- keyword = Dout
- input = roms.in
- dstart
- Time stamp assigned to model initialization. Usually a Calendar linear coordinate, like modified Julian Day.
- option =
- units = days
- routine = mod_scalars.F
- keyword = DSTART
- input = roms.in
- DstrS
- Starting day for adjoint sensitivity forcing. Ngrids values are expected.
- Note: The adjoint forcing is applied at every time step according to desired state functional stored in the adjoint sensitivity NetCDF file. DstrS must be less than or equal to DendS. If both values are zero, their values are reset internally to the full range of the adjoint integration.
- dimension = DstrS(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = DstrS
- input = roms.in
- dt
- Time-Step size in seconds. If 3D configuration, dt is the size of the baroclinic time-step. If only 2D configuration, dt is the size of the barotropic time-step. Ngrids values are expected.
- dimension = dt(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = DT
- input = roms.in
- dTdz_min
- Minimum d(T)/d(z) above which the balanced salinity (deltaS_b) is computed. Ngrids values are expected.
- dimension = dTdz_min(Ngrids)
- option =
- routine = ad_balance.F, mod_scalars.F, read_asspar.F, tl_balance.F
- keyword = dTdz_min
- input = s4dvar.in
- Dwave
- wind-induced wave direction. Direction the waves are coming from; measured clockwise from geographic North. (nautical convention).
- dimension = Dwave(LBi:UBi,LBj:UBj)
- pointer = FORCES(ng)%Dwave
- units = degrees
- grid = rho-points
- option =
- routine = ssw_bbl.h, mb_bbl.h, sg_bbl.h, ana_wwave.h, radiation_stress.F
E
- Erate
- Surface erosion rate for cohesive and non-cohesive sediment.
- dimension = Erate(NST,Ngrids)
- units = kilograms meter^{-2} second^{-1}
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_ERATE, SAND_ERATE
- input = sediment.in
- ERstr
- Starting ensemble run (perturbation or iteration) number.
- option =
- routine = mod_scalars.F
- keyword = ERstr
- input = roms.in
- ERend
- Ending ensemble run (perturbation or iteration) number.
- option =
- routine = mod_scalars.F
- keyword = ERend
- input = roms.in
- EWperiodic
- East-West periodic boundary condition.
- dimension = EWperiodic(Ngrids)
- option =
F
- fbionam
- Input script file name containing biological floats behavior model parameters.
- option = FLOATS
- routine = inp_par.F, mod_iounits.F, read_fltpar.F
- keyword = FBIONAM
- input = floats.in
- Fcoor
- Initial horizontal location (Fx0 and Fy0) coordinate type. If Fcoor = 0 then rho grid points are used. If Fcoor = 1 then location is given in latitude and longitude. Fcoor is column C in the POS specification at the end of the floats.in file.
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fcount
- Number of floats to be released at the specified (Fx0,Fy0,Fz0) location. It must be equal or greater than one. If Fcount is greater than one, a cluster distribution of floats centered at (Fx0,Fy0,Fz0) is activated. The total number of floats trajectories to compute must add up to NFLOATS. Fcount is column N in the POS specification at the end of the floats.in file.
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- FCTA
- Input NetCDF filename for the forecasts initialized from the analysis of the current 4D-Var cycle.
- option =
- routine =
- keyword = FCTnameA
- input = roms.in
- FCTB
- Input NetCDF filename for the forecasts initialized from the analysis of the previous 4D-Var cycle.
- option =
- routine =
- keyword = FCTnameB
- input = roms.in
- Fdt
- Float cluster release time interval in days. This is only used if Fcount is greater than 1. If Fdt gt; 0 a cluster of floats will be deployed from (Fx0,Fy0,Fz0) at Fdt intervals until Fcount floats are released. If Fdt = 0 Fcount floats will be deployed simultaneously with a distribution centered at (Fx0,Fy0,Fz0) and defined by (Fdx,Fdy,Fdz). This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fdx
- Cluster x-distribution parameter. This is only used if Fcount is greater than 1 and Fdt = 0. This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fdy
- Cluster y-distribution parameter. This is only used if Fcount is greater than 1 and Fdt = 0. This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fdz
- Cluster z-distribution parameter. This is only used if Fcount is greater than 1 and Fdt = 0. This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- FLT
- floats output NetCDF file name. Ngrids values are expected.
- dimension = FLT(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = FLTNAME
- input = roms.in
- FOIA
- Input adjoint forcing NetCDF filename for computing observations impacts during the analysis-forecast cycle. If the forecast error metric is defined in state-space, then FOInameA should be regular adjoint forcing files just like ADSname. If the forecast error metric is defined in observation space (OBS_SPACE is activated) then the forecast is initialized OIFnameA (specified in s4dvar4.in input script) will have the structure of a 4D-Var observation file.
- option =
- routine =
- keyword = FOInameA
- input = roms.in
- FOIB
- Input adjoint forcing NetCDF filename for computing observations impacts during the analysis-forecast cycle. If the forecast error metric is defined in state-space, then FOInameB should be regular adjoint forcing files just like ADSname. If the forecast error metric is defined in observation space (OBS_SPACE is activated) then the forecast is initialized OIFnameB (specified in s4dvar4.in input script) will have the structure of a 4D-Var observation file.
- option =
- routine =
- keyword = FOInameB
- input = roms.in
- food_supply
- Initial food supply (constant source) concentration (mg Carbon/l). Ngrids values are expected.
- dimension = food_supply(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = food_supply
- input = behavior_oyster.in
- fposnam
- Input initial floats positions file name (floats.in).
- option = FLOATS
- routine = mod_iounits.F
- keyword = FPOSNAM
- input = roms.in
- Fprint
- Switch to control the printing of floats positions to standard output file. This switch can be used to turn off the printing of information when thousands of floats are released. This information is still in the output floats NetCDF file. Ngrids values are expected.
- dimension = Fprint(Ngrids)
- option = FLOATS
- routine = mod_floats.F, read_fltpar.F
- keyword = Fprint
- input = floats.in
- FRC
- Input forcing fields file name(s). Ngrids values are expected.
- dimension = FRC(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = FRCNAME
- input = roms.in
- frrec
- Flag to indicate re-start from a previous solution. Ngrids values are expected. For new solutions (not a model restart) use frrec = 0. In a re-start solution, frrec is the time index in the floats NetCDF file assigned for initialization. If frrec is negative (say frrec = -1), the floats will re-start from the most recent time record. That is, the initialization record is assigned internally.
- dimension = frrec(Ngrids)
- option = FLOATS
- routine = mod_scalars.F
- keyword = FRREC
- input = floats.in
- Ft0
- Time, in days, of float release after model initialization. This value must be of type real (i.e. 0.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Ftype
- Float trajectory type. If Ftype = 1, float(s) will be 3D Lagrangrian particles. If Ftype = 2, float(s) will be isobaric particles (). If Ftype = 3, float(s) will be geopotential (constant depth) particles.
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- FWD
- Forward trajectory input NetCDF file name. Ngrids values are expected.
- dimension = FWD(Ngrids)
- option =
- routine = read_phypar.F
- keyword = FWDNAME
- input = roms.in
- Fx0
- Initial float(s) x-location in grid units or longitude depending on the value of Fcoor. This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fy0
- Initial float(s) y-location in grid units or longitude depending on the value of Fcoor. This value must be of type real (i.e. 5.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
- Fz0
- Initial float(s) z-location in vertical levels or depth. If Fz0 is less than or equal to zero then Fz0 is the initial depth in meters. If Fz0 is greater than 0 and less than N(ng) the initial position is relative to the W grid (0 is the bottom and N is the surface). This value must be of type real (i.e. -45.d0).
- option = FLOATS
- routine = inp_par.F
- input = floats.in
G
- gamma2
- Slipperiness variable, either 1.0 (free slip) or -1.0 (no slip). Ngrids values are expected.
- dimension = gamma2(Ngrids)
- routine = mod_grid.F, mod_scalars.F
- keyword = GAMMA2
- input = roms.in
- Gfactor_DS
- Salinity I-axis increment for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_DS
- input = behavior_oyster.in
- Gfactor_DT
- Temperature J-axis increment for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_DT
- input = behavior_oyster.in
- Gfactor_Im
- Number of values in salinity I-axis for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_Im
- input = behavior_oyster.in
- Gfactor_Jm
- Number of values in temperature J-axis for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_Jm
- input = behavior_oyster.in
- Gfactor_S0
- Starting value for salinity I-axis for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_S0
- input = behavior_oyster.in
- Gfactor_T0
- Starting value for temperature J-axis for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_T0
- input = behavior_oyster.in
- Gfactor_table
- Look-up table, Gfactor(15,24), for planktonic larvae growth rate factor (nondimensional) as a function salinity and temperature.
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Gfactor_table
- input = behavior_oyster.in
- gls_c1
- Generic length-scale closure independent shear production coefficient. Ngrids values are expected.
- dimension = gls_c1(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_C1
- input = roms.in
- gls_c2
- Generic length-scale closure independent dissipation coefficient. Ngrids values are expected.
- dimension = gls_c2(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_C2
- input = roms.in
- gls_c3m
- Generic length-scale closure independent buoyancy production coefficient (minus). Ngrids values are expected.
- dimension = gls_c3m(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_C3M
- input = roms.in
- gls_c3p
- Generic length-scale closure independent buoyancy production coefficient (plus). Ngrids values are expected.
- dimension = gls_c3p(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_C3P
- input = roms.in
- gls_cmu0
- Generic length-scale closure independent stability coefficient. Ngrids values are expected.
- dimension = gls_cmu0(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_CMU0
- input = roms.in
- gls_Kmin
- Generic length-scale minimum value of specific turbulent kinetic energy. Ngrids values are expected.
- dimension = gls_Kmin(Ngrids)
- option = GLS_MIXING
- routine = mod_mixing.F, mod_scalars.F
- keyword = GLS_KMIN
- input = roms.in
- gls_m
- Generic length-scale turbulent kinetic energy exponent. Ngrids values are expected.
- dimension = gls_m(Ngrids)
- option = GLS_MIXING
- routine = mod_mixing.F, mod_scalars.F
- keyword = GLS_M
- input = roms.in
- gls_n
- Generic length-scale turbulent length scale exponent. Ngrids values are expected.
- dimension = gls_n(Ngrids)
- option = GLS_MIXING
- routine = mod_mixing.F, mod_scalars.F
- keyword = GLS_N
- input = roms.in
- gls_p
- Generic length-scale stability exponent. Ngrids values are expected.
- dimension = gls_p(Ngrids)
- option = GLS_MIXING
- routine = mod_mixing.F, mod_scalars.F
- keyword = GLS_P
- input = roms.in
- gls_Pmin
- Generic length-scale minimum value of dissipation. Ngrids values are expected.
- dimension = gls_Pmin(Ngrids)
- option = GLS_MIXING
- routine = mod_mixing.F, mod_scalars.F
- keyword = GLS_PMIN
- input = roms.in
- gls_sigk
- Generic length-scale closure independent constant Schmidt number for turbulent kinetic energy diffusivity. Ngrids values are expected.
- dimension = gls_sigk(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_SIGK
- input = roms.in
- gls_sigp
- Generic length-scale closure independent constant Schmidt number for turbulent generic statistical field, psi. Ngrids values are expected.
- dimension = gls_sigp(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = GLS_SIGP
- input = roms.in
- GradErr
- Upper bound on the relative error of the gradient for the Lanczos conjugate gradient algorithm.
- routine = mod_fourdvar.F, read_asspar.F
- keyword = GradErr
- input = s4dvar.in
- Grate_DF
- Food supply I-axis increment for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_DF
- input = behavior_oyster.in
- Grate_DL
- Larval size J-axis increment for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_DL
- input = behavior_oyster.in
- Grate_F0
- Starting value for food supply I-axis for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_F0
- input = behavior_oyster.in
- Grate_Im
- Number of values in food supply I-axis for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_Im
- input = behavior_oyster.in
- Grate_Jm
- Number of values in larval size J-axis for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_Jm
- input = behavior_oyster.in
- Grate_L0
- Starting value for larval size J-axis for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_L0
- input = behavior_oyster.in
- Grate_table
- Look-up table, Grate(31,52), for planktonic larvae growth rate (um/day) as a function of food supply (mg Carbon /l) and larval size (um).
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Grate_table
- input = behavior_oyster.in
- GRD
- Grid Input NetCDF file name. Ngrids values are expected.
- dimension = GRD(Ngrids)
- routine = mod_iounits.F
- keyword = GRDNAME
- input = roms.in
- GridsInLayer
- Number of grids in each nested layer. NestLayers values are expected.
- dimension = GridsInLayer(NestLayers)
- option =
- routine = mod_scalars.F
- keyword = GridsInLayer
- input = roms.in
- GST
- GST analysis input/output check pointing NetCDF file name. Ngrids values are expected.
- dimension = GST(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = GSTNAME
- input = roms.in
H
- HAR
- Least-squares detiding harmonics output NetCDF file name. Ngrids values are expected.
- dimension = HAR(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = HARNAME
- input = roms.in
- HdecayB
- Boundary conditions error covariance horizontal, isotropic decorrelation scales (m). A value is expected for each boundary edge in the following order:
- 1: west 2: south 3:east 4: north
- dimension = HdecayB(4,MstateVar, Ngrids)
- units = meters
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, normalization.F, read_asspar.F
- keyword = HdecayB
- input = s4dvar.in
- HdecayF
- Surface forcing error covariance horizontal, isotropic decorrelation scales (m):
- dimension = HdecayF(2 + NT, Ngrids)
- units = meters
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, normalization.F, read_asspar.F
- keyword = HdecayF
- input = s4dvar.in
- HdecayI
- Initial conditions error covariance horizontal, isotropic decorrelation scales (m):
- dimension = HdecayI(MstateVar, Ngrids)
- units = meters
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, normalization.F, read_asspar.F
- keyword = HdecayI
- input = s4dvar.in
- HdecayM
- Model error covariance horizontal, isotropic decorrelation scales (m):
- dimension = HdecayM(MstateVar, Ngrids)
- units = meters
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, normalization.F, read_asspar.F
- keyword = HdecayM
- input = s4dvar.in
- HevecErr
- Maximum error bound on Hessian eigenvectors in the Lanczos conjugate gradient algorithm. Note that even quite inaccurate eigenvectors are useful for pre-conditioning purposes.
- routine = cgradient.F, congrad.F, mod_fourdvar.F, posterior.F, read_asspar.F, rpcg_lanczos.F
- keyword = HevecErr
- input = s4dvar.in
- Hgamma
- Horizontal stability and accuracy factor (< 1) used to scale the time-step of the convolution operator below its theoretical limit. Notice that four values are needed for Hgamma to facilitate the error covariance modeling for:
- [1] initial conditions
- [2] model
- [3] boundary conditions
- [4] surface forcing
- dimension = Hgamma(4)
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, read_asspar.F
- keyword = Hgamma
- input = s4dvar.in
- HIS
- Output history data file name. Ngrids values are expected.
- dimension = HIS(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = HISNAME
- input = roms.in
- HISname
- History output NetCDF file name. Ngrids values are expected.
- dimension = HISname(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = HISNAME
- input = roms.in
- Hout
- Set of switches that determine what fields are written to the history output file (HISname).
- dimension = Hout(NV,Ngrids)
- option =
- routine = mod_ncparam.F
- keyword = Hout
- input = roms.in
- Hz
- Vertical level thicknesses, .
- dimension = Hz(LBi:UBi,LBj:UBj,N(ng))
- pointer = GRID(ng)%Hz
- tangent = tl_Hz
- adjoint = ad_Hz
- units = meter
- grid = ρ-points
- option = SOLVE3D
- routine = set_depths.F
I
- IAD
- Adjoint initial conditions input NetCDF file name. Ngrids values are expected.
- dimension = IAD(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = IADNAME
- input = roms.in
- idbio
- Identification indexes for biological tracer variables, t(:,:,:,:,idbio(:)).
- dimension = idbio(NBT)
- option = BIOLOGY
- routine = mod_scalars.F
- idsed
- Identification indexes for biological tracer variables, t(:,:,:,:,idsed(:)).
- dimension = idsed(NST)
- option = SEDIMENT
- routine = mod_scalars.F
- ieast
- Index of eastern boundary.
- option =
- routine = mod_scalars.F
- Iend
- Non-overlapping upper bound tile index in the i-direction. Its value depends on the tile rank (sub-domain partition).
- routine = tile.h, get_tile.F
- inert
- Identification indexes for inert tracer variables, t(:,:,:,:,inert(:)).
- dimension = inert(NPT)
- option = T_PASSIVE
- routine = mod_scalars.F
- INI
- Nonlinear initial conditions input NetCDF file name. Ngrids values are expected.
- dimension = INI(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = ININAME
- input = roms.in
- inorth
- Index of northern boundary.
- option =
- routine = mod_scalars.F
- IRP
- Representer initial conditions input NetCDF file name. Ngrids values are expected.
- dimension = IRP(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = IRPNAME
- input = roms.in
- isFsur
- Assimilation state variable index for free-surface.
- value = 1
- routine = mod_ncparam.F
- isalt
- Tracer identification index for salinity, t(:,:,:,:,isalt).
- routine = mod_scalars.F
- isouth
- Index of southern boundary.
- option =
- routine = mod_scalars.F
- Istr
- Non-overlapping lower bound tile index in the i-direction. Its value depends on the tile rank (sub-domain partition).
- routine = tile.h, get_tile.F
- isTvar
- Assimilation state variable indices for tracers.
- dimension = isTvar(MT)
- routine = mod_ncparam.F
- isUbar
- Assimilation state variable index for 2D U-momentum.
- value = 2
- routine = mod_ncparam.F
- isVbar
- Assimilation state variable index for 2D V-momentum.
- value = 3
- routine = mod_ncparam.F
- isUvel
- Assimilation state variable index for 3D U-momentum.
- value = 4
- routine = mod_ncparam.F
- isVvel
- Assimilation state variable index for 3D V-momentum.
- value = 5
- routine = mod_ncparam.F
- itemp
- Tracer identification index for potential temperature, t(:,:,:,:,itemp).
- routine = mod_scalars.F
- ITL
- Tangent linear initial conditions input NetCDF file name. Ngrids values are expected.
- dimension = ITL(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = ITLNAME
- input = roms.in
- iwest
- Index of western boundary.
- option =
- routine = mod_scalars.F
J
- Jend
- Non-overlapping upper bound tile index in the j-direction. Its value depends on the tile rank (sub-domain partition).
- routine = tile.h, get_tile.F
- Jstr
- Non-overlapping lower bound tile index in the j-direction. Its value depends on the tile rank (sub-domain partition).
- routine = tile.h, get_tile.F
- Jwtype
- Jerlov water type: an integer value from 1 to 5.
- option =
- routine = mod_mixing.F
- keyword = WTYPE
- input = roms.in
K
- KendS
- Ending vertical level of the 3D adjoint state variables whose sensitivity is required. Ngrids values are expected.
- dimension = KendS(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = KendS
- input = roms.in
- KstrS
- Starting vertical level of the 3D adjoint state variables whose sensitivity is required. Ngrids values are expected.
- dimension = KstrS(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = KstrS
- input = roms.in
L
- Larvae_size0
- Initial planktonic larvae size in terms of length (um). Ngrids values are expected.
- dimension = Larvae_size0(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Larvae_size0
- input = behavior_oyster.in
- Larvae_GR0
- Initial planktonic larvae growth rate (um/day). Ngrids values are expected.
- dimension = Larvae_GR0(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = Larvae_GR0
- input = behavior_oyster.in
- LBC
- Lateral boundary conditions.
- dimension = LBC(4,nLBCvar,Ngrids)
- option =
- routine = mod_param.F
- keyword = LBC
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- LBi
- Array lower bound dimension in the i-direction. In serial and shared-memory applications its value is LBi = -2 for East-West periodic grids or LBi = 0 for non-periodic grids . In distributed-memory its value is a function of the tile partition, LBi = Istr - NghostPoints.
- option = LOWER_BOUND_I
- routine = get_bounds.F, get_tile.F
- LBj
- Array lower bound dimension in the j-direction. In serial and shared-memory applications its value is LBj = -2 for North-South periodic grids or LBj = 0 for non-periodic grids . In distributed-memory its value is a function of the tile partition, LBj = Jstr - NghostPoints.
- option = LOWER_BOUND_J
- routine = get_bounds.F, get_tile.F
- LcycleADJ
- Logical switch(s) (T/F) used to recycle time records in output adjoint file. Ngrids values are expected. If TRUE, only the latest two re-start time records are maintained. If FALSE, all adjoint fields are saved every nADJ time-steps without recycling.
- dimension = LcycleADJ(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = LcycleADJ
- input = roms.in
- LcycleRST
- Logical switch(s) (T/F) used to recycle time records in output re-start file. Ngrids values are expected. If TRUE, only the latest two re-start time records are maintained. If FALSE, all re-start fields are saved every nRST time-steps without recycling. The re-start fields are written at all levels in double precision unless the RST_SINGLE CPP option is activated.
- dimension = LcycleRST(Ngrids)
- option = PERFECT_RESTART, RST_SINGLE
- routine = mod_scalars.F
- keyword = LcycleRST
- input = roms.in
- LcycleTLM
- Logical switch(s) (T/F) used to recycle time records in output tangent linear file. Ngrids values are expected. If TRUE, only the latest two re-start time records are maintained. If FALSE, all tangent linear fields are saved every nTLM time-steps without recycling.
- dimension = LcycleTLM(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = LcycleTLM
- input = roms.in
- LdefNRM
- Logical switch(s) (T/F) used to create new normalization NetCDF file for:
- LdefNRM(1,:) initial conditions error covariance
LdefNRM(2,:) model error covariance
LdefNRM(3,:) boundary conditions error covariance
LdefNRM(4,:) surface forcing error covariance
- The computation of the correlation normalization coefficients is very expensive and needs to be computed only once for a particular application provided that grid, land/sea masking (if any), and decorrelation scales (see HdecayM, VdecayM, TdecayM, HdecayI, VdecayI, HdecayB, VdecayB, HdecayF) remain the same. The user can use this switch in conjunction with the CnormM, CnormI, CnormB, CnormF switches to compute each coefficient separately. The normalization NetCDF file only needs to be created once and simultaneous runs can write to the same file. If using this approach, compute the normalization factors with the CORRELATION CPP-option and not I4DVAR, W4DPSAS or W4DVAR.
- dimension = LdefNRM(4, Ngrids)
- option = I4DVAR, W4DPSAS, W4DVAR, CORRELATION
- routine = correlation.h, mod_scalars.F, read_asspar.F
- keyword = LdefNRM
- input = s4dvar.in
- ldefout
- Logical switch(s) (T/F) used to create new output files when initializing from a re-start file, |nrrec| > 0. Ngrids values are expected. If TRUE and applicable, a new history, average, diagnostic and station files are created during the initialization stage. If FALSE and applicable, data is appended to existing history, average, diagnostic and station files. See also parameters ndefHIS, ndefAVG and ndefDIA.
- dimension = ldefout(Ngrids)
- option = PERFECT_RESTART
- routine = mod_scalars.F
- keyword = LDEFOUT
- input = roms.in
- levbfrc
- Shallowest level to apply bottom momentum stress as a body-force. Ngrids values are expected.
- dimension = levbfrc(Ngrids)
- option = BODYFORCE
- routine = mod_scalars.F
- keyword = LEVBFRC
- input = roms.in
- levsfrc
- Deepest level to apply surface momentum stress as a body-force. Ngrids values are expected.
- dimension = levsfrc(Ngrids)
- option = BODYFORCE
- routine = mod_scalars.F
- keyword = LEVSFRC
- input = roms.in
- Lfloats
- Logical switch(s) (T/F) used to control the computation of floats trajectories within nested and/or multiple connected grids. Ngrids values are expected. By default this switch is set to TRUE in mod_scalars.F for all grids when the CPP option FLOATS is activated. The user can control which grids to process by turning on/off this switch.
- dimension = Lfloats(Ngrids)
- option = FLOATS
- routine = mod_scalars.F
- keyword = Lfloats
- input = floats.in
- LhessianEV
- Switch (T/F) to compute approximated Hessian eigenpairs in the Lanzos conjugate gradient algorithm.
- routine = cgradient.F, congrad.F, mod_fourdvar.F, read_asspar.F, rpcg_lanczos.F
- keyword = LhessianEV
- input = s4dvar.in
- LhotStart
- Switch (T/F) to activate hot start in weak-constraint (W4DVAR and W4DPSAS) algorithms of subsequent outer loops.
- routine = ad_congrad.F, congrad.F, mod_fourdvar.F, read_asspar.F, tl_congrad.F
- keyword = LhotStart
- input = s4dvar.in
- Lm
- Number of interior grid points in the ξ-direction. Ngrids values are expected.
- dimension = Lm(Ngrids)
- routine = mod_param.F
- keyword = Lm
- input = roms.in
- Lm2CLM
- Logical switch(s) (T/F) used to process 2D momentum (ubar, vbar) climatology. The CPP option M2CLIMATOLOGY is now obsolete and replaced with these switches to facilitate nesting applications. Currently, CLIMA(ng)%ubarclm and CLIMA(ng)%vbarclm are used for sponges and nudging. If using tidal forcing, the climatological values are adjusted to include tides.
- dimension = Lm2CLM(Ngrids)
- routine = mod_scalars.F
- keyword = Lm2CLM
- input = roms.in
- Lm3CLM
- Logical switch(s) (T/F) used to process 3D momentum (u, v) climatology. The CPP option M3CLIMATOLOGY is now obsolete and replaced with these switches to facilitate nesting applications. Currently, CLIMA(ng)%uclm and CLIMA(ng)%vclm are used for sponges and nudging.
- dimension = Lm3CLM(Ngrids)
- routine = mod_scalars.F
- keyword = Lm3CLM
- input = roms.in
- LNM_depth
- Level of no motion depth (m; positive) used to compute the balanced free-surface contribution in the error covariance balance operator. It is only relevant when LNM_flag=1, balance(isFsur)=T, and ZETA_ELLIPTIC is NOT activated. It is used to integrate the non-hydrostatic equation. Ngrids values are expected.
- dimension = LNM_depth(Ngrids)
- units = meters
- routine = ad_balance.F, mod_scalars.F, read_asspar.F, tl_balance.F
- keyword = LNM_depth
- input = s4dvar.in
- LNM_flag
- Level of no motion integration flag used to used to compute the balanced free-surface contribution:
- LNM_flag = 0, integrate from local bottom to the surface
- LNM_flag = 1, integrate from LNM_depth to surface or integrate from local bottom if shallower than LNM_depth
- routine = ad_balance.F, mod_scalars.F, read_asspar.F, tl_balance.F
- keyword = LNM_flag
- input = s4dvar.in
- LnudgeM2CLM
- Logical switch(s) (T/F) used to activate the nudging of 2D momentum climatology. The CPP option M2CLM_NUDGING is now obsolete and replaced with these switches to facilitate nesting applications.
Users also need turn on (set to T) the logical switch Lm2CLM to process the required 2D momentum climatology data. This data can be set with analytical functions (ANA_M2CLIMA) or read from input climatology NetCDF files(s).
The nudging coefficients (CLIMA(ng)%M2nudgcof) can be set with analytical functions in ana_nudgcoef.h using CPP option ANA_NUDGCOEF. Otherwise it will be read from NetCDF file NUDNAME. - dimension = LnudgeM2CLM(Ngrids)
- routine = mod_scalars.F
- keyword = LnudgeM2CLM
- input = roms.in
- LnudgeM3CLM
- Logical switch(s) (T/F) used to activate the nudging of 3D momentum climatology. The CPP option M3CLM_NUDGING is now obsolete and replaced with these switches to facilitate nesting applications.
Users also need turn on (set to T) the logical switch Lm3CLM to process the required 3D momentum climatology data. This data can be set with analytical functions (ANA_M3CLIMA) or read from input climatology NetCDF files(s).
The nudging coefficients (CLIMA(ng)%M3nudgcof) can be set with analytical functions in ana_nudgcoef.h using CPP option ANA_NUDGCOEF. Otherwise it will be read from NetCDF file NUDNAME. - dimension = LnudgeM3CLM(Ngrids)
- routine = mod_scalars.F
- keyword = LnudgeM3CLM
- input = roms.in
- LnudgeTCLM
- Logical switch(s) (T/F) used to activate the nudging of active and inert tracer climatology variables. These switches also control which tracer variables to nudge. The CPP option TCLM_NUDGING is now obsolete and replaced with these switches to facilitate nesting applications.
Only NAT active tracers (temperature, salinity) and NPT inert tracers need to be specified here.LnudgeTCLM(itemp,ng) for temperature (itemp=1)Other biological and sediment tracers switches are specified in their respective input scripts.
LnudgeTCLM(isalt,ng) for salinity (isalt=2)
LnudgeTCLM(NAT+1,ng) for inert tracer 1
... ...
LnudgeTCLM(NAT+NPT,ng) for inert tracer NPT
Users also need turn on (set to T) the logical switch LtracerCLM to process the required 3D tracer climatology data. This data can be set with analytical functions (ANA_TCLIMA) or read from input climatology NetCDF files(s).
The nudging coefficients (CLIMA(ng)%Tnudgcof) can be set with analytical functions in ana_nudgcoef.h using CPP option ANA_NUDGCOEF. Otherwise it will be read from NetCDF file NUDNAME. - dimension = LnudgeTCLM(Ngrids)
- routine = mod_scalars.F
- keyword = LnudgeTCLM
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- Lprecond
- Switch (T/F) to activate preconditioning in the I4DVAR algorithm. Two types of Limited-Memory preconditioners (LMP) are available Tshimanga et al., (2008): Spectral and Ritz.
- routine = ad_congrad.F, cgradient.F, congrad.F, mod_fourdvar.F, read_asspar.F, rpcg_lanczos.F, tl_congrad.F
- keyword = Lprecond
- input = s4dvar.in
- Lritz
- Switch to activate either Ritz Limited-Memory Preconditioner (T) or spectral Limited-Memory Preconditioner (F) in the I4DVAR algorithm using eigenpairs approximation for the Hessian matrix. The accuracy of the Hessian eigenvectors (HevecErr) can be used to fine tune the minimization. That is, HevecErr can be used to control the number of eigenvalues of the preconditioning Hessian matrix. See Tshimanga et al., (2008) for details.
- routine = cgradient.F, congrad.F, mod_fourdvar.F, read_asspar.F, rpcg_lanczos.F
- keyword = Lritz
- input = s4dvar.in
- LrstGST
- Logical switch(s) (T/F) used to restart GST analysis. If TRUE, the check pointing data is read in from the GST restart NetCDF file. If FALSE and applicable, the check pointing GST data is saved and overwritten every nGST iterations of the algorithm.
- dimension =
- option =
- routine = mod_scalars.F
- keyword = LcycleTLM
- input = roms.in
- Lsediment
- Logical switch(s) (T/F) used to control sediment model computation within nested and/or multiple connected grids. Ngrids values are expected. By default this switch is set to TRUE in mod_scalars.F for all grids when the CPP option SEDIMENT is activated. The user can control which grids to process by turning on/off this switch.
- dimension = Lsediment(Ngrids)
- option = SEDIMENT
- routine = mod_scalars.F
- keyword = Lsediment
- input = sediment.in
- LsshCLM
- Logical switch(s) (T/F) used to process sea-surface height climatology. The CPP option ZCLIMATOLOGY is now obsolete and replaced with these switches to facilitate nesting applications. Currently, the sea-surface height climatology, CLIMA(ng)%ssh, is not used but is kept for future use.
The nudging of SSH on the free-surface governing equation (vertically integrated continuity equation) is not allowed because it violates mass/volume conservation. Recall that the time rate of change of free-surface is computed from the divergence of ubar and vbar. If such a nudging term is required, it needs to be specified on the momentum equations for (u,v) and/or (ubar,vbar). If done on (u,v) only, its effects enter the 2D momentum equations via the residual vertically integrated forcing term. - dimension = LsshCLM(Ngrids)
- routine = mod_scalars.F
- keyword = LsshCLM
- input = roms.in
- Lstate
- Logical switches (T/F) to specify the adjoint state variables whose sensitivity is required. Ngrids values are expected for each state variable.
- routine = mod_scalars.F
- keyword = Lstate
- input = roms.in
- Lstations
- Logical switch(s) (T/F) used to control the writing of station data within nested and/or multiple connected grids. Ngrids values are expected. By default this switch is set to TRUE in mod_scalars.F for all grids when the CPP option STATIONS is activated. The user can control which grids to process by turning on/off this switch.
- dimension = Lstations(Ngrids)
- option = STATIONS
- routine = mod_scalars.F
- keyword = Lstations
- input = stations.in
- LtracerCLM
- Logical switch(s) (T/F) used to process active and inert climatology tracer variables. The CPP option TCLIMATOLOGY is now obsolete and replaced with these switches to facilitate nesting applications. Currently, CLIMA(ng)%tclm is used for horizontal mixing, sponges, and nudging.
Only NAT active tracers (temperature, salinity) and NPT inert tracers need to be specified here.LtracerCLM(itemp,ng) for temperature (itemp=1)Other biological and sediment tracers switches are specified in their respective input scripts.
LtracerCLM(isalt,ng) for salinity (isalt=2)
LtracerCLM(NAT+1,ng) for inert tracer 1
... ...
LtracerCLM(NAT+NPT,ng) for inert tracer NPT
These switches also control which climatology tracer fields (especially passive tracers) need to be processed so we may reduce the memory allocation for the CLIMA(ng)%tclm array. - dimension = LtracerCLM(MT,Ngrids)
- routine = mod_scalars.F
- keyword = LtracerCLM
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- LtracerSponge
- Logical switch(s) (T/F) to increase/decrease horizontal diffusivity in specific areas of the domain. It can be used to specify sponge areas with larger horizontal mixing coefficients for damping of high frequency noise due to open boundary conditions or nesting. The CPP option SPONGE is now obsolete and replaced with these switches to facilitate or not sponge areas over a particular nested grid.
The horizontal mixing distribution is specified in ini_hmixcoef.F as:diff2(i,j,itrc) = diff_factor(i,j) * diff2(i,j,itrc)The variable diff_factor can be read from the grid NetCDF file. Alternately, the horizontal viscosity in the sponge area can be set-up with analytical functions in ana_sponge.h using CPP ANA_SPONGE when the LuvSponge is turned ON for a particular grid.
diff4(i,j,itrc) = diff_factor(i,j) * diff4(i,j,itrc) - dimension = LtracerSponge(MT,Ngrids)
- routine = mod_scalars.F
- keyword = LtracerSponge
- input = roms.in
- LtracerSrc
- Logical switch(s) (T/F) used to activate tracers point Sources/Sinks (like river runoff) and to specify which tracer variables to consider. Only NAT active tracers (temperature, salinity) and NPT inert tracers need to be specified here.
- dimension = LtracerSrc(MT,Ngrids)
- routine = mod_scalars.F
- keyword = LtracerSrc
- input = bio_Fennel.in, ecosim.in, nemuro.in, npzd_Franks.in, npzd_iron.in, npzd_Powell.in, roms.in
- Other biological and sediment tracers switches are activated in their respective input scripts.
- In nesting applications, turn on only the grids that require activation and processing of tracers point Sources/Sinks.
- LuvSponge
- Logical switch(s) (T/F) to increase/decrease horizontal viscosity in specific areas of the domain. It can be used to specify sponge areas with larger horizontal mixing coefficients for damping of high frequency noise due to open boundary conditions or nesting. The CPP option SPONGE is now obsolete and replaced with these switches to facilitate or not sponge areas over a particular nested grid.
The horizontal mixing distribution is specified in ini_hmixcoef.F as:The variable visc_factor can be read from the grid NetCDF file. Alternately, the horizontal viscosity in the sponge area can be set-up with analytical functions in ana_sponge.h using CPP ANA_SPONGE when the switch LuvSponge is turned ON for a particular grid. - dimension = LuvSponge(Ngrids)
- routine = mod_scalars.F
- keyword = LuvSponge
- input = roms.in
- LuvSrc
- Logical switch(s) (T/F) used to activate momentum horizontal transport points Sources/Sinks. Usually it is used to turn on/off river runoff transport (u or v variables) in an application. In nesting applications, turn on only the grids that require activation and processing of momentum point Sources/Sinks.
- dimension = LuvSrc(Ngrids)
- routine = mod_scalars.F
- keyword = LuvSrc
- input = roms.in
- LwSrc
- Logical switch(s) (T/F) used to activate mass points Sources/Sinks. Usually it is used to turn on/off volume vertical influx (w) in an application. In nesting applications, turn on only the grids that require activation and processing of mass influx point Sources/Sinks.
- dimension = LwSrc(Ngrids)
- routine = mod_scalars.F
- keyword = LwSrc
- input = roms.in
- LwrtNRM
- Logical switch(s) (T/F) to write out correlation normalization factors for:
- LwrtNRM(1,:) initial conditions error covariance
LwrtNRM(2,:) model error covariance
LwrtNRM(3,:) boundary conditions error covariance
LwrtNRM(4,:) surface forcing error covariance
- If TRUE, these factors computed and written to NRMnameI, NRMnameM, NRMnameB, and NRMnameF NetCDF files, respectively. If FALSE, they are read from NRMname NetCDF file.
- dimension = LwrtNRM(4, Ngrids)
- option = I4DVAR, W4DPSAS, W4DVAR, CORRELATION
- routine = correlation.h, mod_scalars.F, normalization.F, read_asspar.F
- keyword = LwrtNRM
- input = s4dvar.in
M
- M2nudg
- Nudging time scale for 2D momentum. Ngrids values are expected.
- dimension = M2nudg(Ngrids)
- units = days
- option =
- routine = mod_scalars.F
- keyword = M2NUDG
- input = roms.in
- M3nudg
- Nudging time scale for 3D momentum. Ngrids values are expected.
- dimension = M3nudg(Ngrids)
- units = days
- option =
- routine = mod_scalars.F
- keyword = M3NUDG
- input = roms.in
- MaxIterGST
- Maximum number of GST algorithm iterations.
- dimension =
- option =
- routine = mod_scalars.F
- keyword = MaxIterGST
- input = roms.in
- ml_depth
- Mixed-layer depth (m; positive) in deltaS_b smoothing coefficient. Ngrids values are expected.
- dimension = ml_depth(Ngrids)
- units = meters
- routine = ad_balance.F, mod_scalars.F, read_asspar.F, tl_balance.F
- keyword = ml_depth
- input = s4dvar.in
- Mm
- Number of interior grid points in the η-direction. Ngrids values are expected.
- dimension = Mm(Ngrids)
- routine = mod_param.F
- keyword = Mm
- input = roms.in
- morph_fac
- Morphological scale factor for cohesive and non-cohesive sediment.
- dimension = morph_fac(NST,Ngrids)
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_MORPH_FAC, SAND_MORPH_FAC
- input = sediment.in
- MyAppCPP
- C-preprocessing flag to define the specific configuration. In versions up to 2.3 this flag was one of the predefined model applications that headed the cppdefs.h file. You must make the value of MyAppCPP consistent with variable ROMS_APPLICATION in the build script or makefile if you are not using build.sh or build.bash. ROMS converts the ROMS_APPLICATION variable to lowercase to determine the name of the file to include.
- keyword = MyAppCPP
- input = roms.in
- MT
- The maximum number of tracers between all nested grids. Basically the sum of all NT.
N
- N
- Number of vertical levels for each nested grid. Ngrids values are expected.
- dimension = N(Ngrids)
- routine = mod_param.F
- keyword = N
- input = roms.in
- NAT
- Number of active tracer-type variables. Usually, it has a value of two for potential temperature and salinty.
- option = SOLVE3D
- routine = mod_param.F
- keyword = NAT
- input = roms.in
- nADJ
- Number of time-steps between writing fields into adjoint model file. Ngrids values are expected.
- dimension = nADJ(Ngrids)
- routine = mod_scalars.F
- keyword = NADJ
- input = roms.in
- nAVG
- Number of time-steps between writing time-averaged data into averages file. Averaged date is written for all fields. Ngrids values are expected.
- dimension = nAVG(Ngrids)
- routine = mod_scalars.F
- keyword = NAVG
- input = roms.in
- Nbed
- Number of sediment bed layers.
- routine = mod_param.F
- keyword = Nbed
- input = roms.in
- Nbico
- Number of iterations in the biconjugate gradient algorithm used to solve the elliptic equation for sea surface height in the error covariance balance operator. We need as many iterations are required to decrease the error value of the reference free-surface to 1E-8 or smaller. In some applications Nbico=200 will do the job. Ngrids values are expected.
- Warning: Be aware that there are 4 arrays that are allocated with this parameter and its value may be constrained by available memory:All the iteration values are needed in the backward stepping of the adjoint.
- dimension = Nbico(Ngrids)
- routine = ad_balance.F, mod_fourdvar.F, mod_param.F, read_asspar.F, tl_balance, zeta_balance.F
- keyword = Nbico
- input = s4dvar.in
- NBT
- Number of biological tracer-type variables.
- option = BIOLOGY
- routine = mod_param.F
- keyword = NBT
- input = biology.in
- NCS
- Number of cohesive (mud) sediment tracer-type variables.
- option = SEDIMENT
- routine = mod_param.F
- keyword = NCS
- input = roms.in
- NCV
- Number of eigenvectors to compute for the Lanczos/Arnoldi problem. NCV must be greater than NEV.
- option =
- routine = mod_storage.F
- keyword = NCV
- input = roms.in
- ndefADJ
- Number of time-steps between the creation of new adjoint file. If ndefADJ = 0, the model will only process one adjoint file. This feature is useful for long simulations when output NetCDF files get too large; it creates a new file every ndefADJ time-steps. Ngrids values are expected.
- dimension = ndefADJ(Ngrids)
- routine = mod_scalars.F
- keyword = NDEFADJ
- input = roms.in
- ndefAVG
- Number of time-steps between the creation of new average file. If ndefAVG = 0, the model will only process one average file. This feature is useful for long simulations when average files get too large; it creates a new file every ndefAVG time-steps. Ngrids values are expected.
- dimension = ndefAVG(Ngrids)
- routine = mod_scalars.F
- keyword = NDEFAVG
- input = roms.in
- ndefDIA
- Number of time-steps between the creation of new time-averaged diagnostics file. If ndefDIA = 0, the model will only process one diagnostics file. This feature is useful for long simulations when diagnostics files get too large; it creates a new file every ndefDIA time-steps. Ngrids values are expected.
- dimension = ndefDIA(Ngrids)
- routine = mod_scalars.F
- keyword = NDEFDIA
- input = roms.in
- ndefHIS
- Number of time-steps between the creation of new history file. If ndefHIS = 0, the model will only process one history file. This feature is useful for long simulations when history files get too large; it creates a new file every ndefHIS time-steps. Ngrids values are expected.
- dimension = ndefHIS(Ngrids)
- routine = mod_scalars.F
- keyword = NDEFHIS
- input = roms.in
- ndefTLM
- Number of time-steps between the creation of new tangent linear file. If ndefTLM = 0, the model will only process one tangent linear file. This feature is useful for long simulations when output NetCDF files get too large; it creates a new file every ndefTLM time-steps. Ngrids values are expected.
- dimension = ndefTLM(Ngrids)
- routine = mod_scalars.F
- keyword = NDEFTLM
- input = roms.in
- nDIA
- Number of time-steps between writing time-averaged diagnostics data into diagnostics file. Averaged date is written for all fields. Ngrids values are expected.
- dimension = nDIA(Ngrids)
- routine = mod_scalars.F
- keyword = NDIA
- input = roms.in
- ndtfast
- Number of barotropic time-steps between each baroclinic time step. If only 2D configuration, ndtfast should be unity since there is no need to split time-stepping.
- option =
- routine = mod_scalars.F
- keyword = NDTFAST
- input = roms.in
- NestLayers
- Number of grid nesting layers. This parameter is used to allow refinement and composite grid combinations as shown for the Refinement and Partial Boundary Composite Sub-Classes. In non-nesting applications, set NestLayers = 1.
- option =
- routine = mod_param.F
- keyword = NestLayers
- input = roms.in
- NEV
- Number of eigenvalues to compute for the Lanczos/Arnoldi problem. Notice that the model memory requirement increases substantially as NEV increases. The GST requires NEV+1 copies of the model state vector. The memory requirements are decreased in distributed-memory applications.
- option =
- routine = mod_storage.F
- keyword = NEV
- input = roms.in
- nFfiles
- Number of forcing NetCDF files. Ngrids values are expected.
- dimension = nFfiles(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = NFFILES
- input = roms.in
- nFLT
- Number of time-steps between writing data into floats file (FLTname). Ngrids values are expected.
- dimension = nFLT(Ngrids)
- option = FLOATS
- routine = mod_scalars.F
- keyword = NFLT
- input = roms.in
- Nfloats
- Number of floats to release in each nested grid. Value(s) are used to dynamically allocate the arrays in the FLOATS array structure. Ngrids values are expected.
- dimension = Nfloats(Ngrids)
- option = FLOATS
- routine = mod_floats.F init_param.F
- keyword = NFLOATS
- input = floats.in
- NGCname
- Input nested grids contact points information file name. This NetCDF file is currently generated using script matlab/grid/contact.m from the ROMS Matlab repository. The nesting information is not trivial and this Matlab scripts is quite complex. See Nested_Grids and Grid_Processing_Scripts for more information.
- option = NESTING
- routine = mod_iounits.F
- keyword = NGCNAME
- input = roms.in
- NghostPoints
- Number of ghost points in the halo region used in distributed-memory configurations.
- option = GHOST_POINTS
- routine = mod_param.F
- Ngrids
- Number of nested and/or multiple connected grids to solve.
- routine = mod_param.F
- nGST
- Number of GST iterations between storing of check pointing data into NetCDF file. The restart data is always saved if MaxIterGST is reached without convergence. It is also saved when convergence is achieved. It is always a good idea to save the check pointing data at regular intervals so there is a mechanism to recover from an unexpected interruption in this very expensive computation. The check pointing data can be also be used to recompute the Ritz vectors by changing some of the parameters, like convergence criteria (Ritz_tol) and number of Arnoldi iterations (iparam(3)).
- routine = mod_scalars.F
- keyword = NGST
- input = roms.in
- nHIS
- Number of time-steps between writing fields into history file. Ngrids values are expected.
- dimension = nHIS(Ngrids)
- routine = mod_scalars.F
- keyword = NHIS
- input = roms.in
- Nimpact
- If observations impact or observations sensitivity, set the 4D-Var outer loop to consider in the computation of the observations impact or observation sensitivity. It must be less than or equal to Nouter. This facilitates the computations with multiple outer loop 4D-Var applications. The observation analysis needs to be computed separately for each outer loop. The full analysis for all outer loops is combined offline.
- routine = mod_fourdvar.F, obs_sen_is4dvar.h, obs_sen_w4dpsas.h, read_asspar.F
- keyword = Nimpact
- input = s4dvar.in
- ninfo
- Number of time-steps between printing of single line information to standard output. It also determines the interval between the computation of global energy diagnostics. Ngrids values are expected.
- dimension = ninfo(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = NINFO
- input = roms.in
- Ninner
- Maximum number of 4DVAR inner loop iterations.
- option =
- routine = mod_scalars.F
- keyword = Ninner
- input = roms.in
- Nintervals
- Number of time interval divisions for stochastic optimals computations. It must be a multiple of ntimes.
- option =
- routine = mod_scalars.F
- keyword = Nintervals
- input = roms.in
- nLBCvar
- Number of lateral boundary condition variables.
- option =
- routine = mod_scalars.F
- Nmethod
- Correlation normalization method:
- [0] Exact, very expensive
- [1] Approximated, randomization
- Ngrids values are expected.
- dimension = Nmethod(Ngrids)
- routine = mod_fourdvar.F, nomalization.F, read_asspar.F
- keyword = Nmethod
- input = s4dvar.in
- NNS
- Number of non-cohesive (sand) sediment tracer-type variables.
- option = SEDIMENT
- routine = mod_param.F
- keyword = NNS
- input = roms.in
- nOBC
- Number of time-steps between 4DVAR adjustment of open boundary fields. Ngrids values are expected. In strong constraint 4DVAR, it is possible to adjust open boundaries at other time intervals in addition to initial time. This parameter is used to store the appropriate number of open boundary records in the output history NetCDF files: 1 + ntimes / nOBC records. nOBC must be a factor of ntimes or greater than ntimes. If nOBC > ntimes, only one record is stored in the NetCDF files and the adjustment is for constant forcing with constant correction. This parameter is only relevant in 4DVAR when activating ADJUST_BOUNDARY.
- dimension = nOBC(Ngrids)
- routine = mod_scalars.F
- keyword = NOBC
- input = roms.in
- Nouter
- Maximum number of 4DVAR outer loop iterations.
- option =
- routine = mod_scalars.F
- keyword = Nouter
- input = roms.in
- NpostI
- If weak constraint 4DVar (W4DPSAS or W4DVAR), set number of iterations in the Lanczos algorithm used to estimate the posterior analysis error covariance matrix.
- routine = mod_fourdvar.F, posterior.F, read_asspar.F
- keyword = NpostI
- input = s4dvar.in
- NPT
- Number of inert tracer-type variables. Currently, an inert passive tracer is one that it is only advected and diffused. Other processes are ignored. These tracers include, for example, dyes, pollutants, oil spills, etc.
- option = T_PASSIVE
- routine = mod_param.F
- keyword = NPT
- input = roms.in
- Nrandom
- Number of iterations to compute correlation normalization factors using the randomization approach of Fisher and Courtier (1995). A large number is required to be statistically meaningful and achieve zero expectation mean and unit variance, approximately. These factors ensure that the error covariance diagonal elements are equal to unity.
- routine = nomalization.F, read_asspar.F
- keyword = Nrandom
- input = s4dvar.in
- NritzEV
- If preconditioning, specify number of eigenpairs to use. If zero, use HevecErr parameter to determine the number of converged eigenpairs.
- routine = cgradient.F, congrad.F, mod_fourdvar.F, read_asspar.F, rpcg_lanczos.F
- keyword = NritzEV
- input = s4dvar.in
- nrrec
- Switch(s) to indicate re-start from a previous solution. Ngrids values are expected. Use nrrec = 0 for new solutions. In a re-start solution, nrrec is the time index of the re-start NetCDF file assigned for initialization. If nrrec is negative (say nrrec = -1), the model will re-start from the most recent time record. That is, the initialization record is assigned internally. Notice that it is also possible to re-start from a history or time-averaged NetCDF file. If a history or time-averaged NetCDF file is used for re-start, it must contain all the necessary primitive variables at all levels.
- dimension = nrrec(Ngrids)
- option = PERFECT_RESTART
- routine = mod_scalars.F
- keyword = NRREC
- input = roms.in
- nRST
- Number of time-steps between writing of re-start fields. Ngrids values are expected.
- dimension = nRST(Ngrids)
- option = PERFECT_RESTART
- routine = mod_scalars.F
- keyword = NRST
- input = roms.in
- nSFF
- Number of time-steps between 4DVAR adjustment of surface forcing fluxes. Ngrids values are expected. In strong constraint 4DVAR, it is possible to adjust surface forcing at other time intervals in addition to initial time. This parameter is used to store the appropriate number of surface forcing records in the output history NetCDF files: 1 + ntimes / nSFF records. nSFF must be a factor of ntimes or greater than ntimes. If nSFF > ntimes, only one record is stored in the NetCDF files and the adjustment is for constant forcing with constant correction. This parameter is only relevant in 4DVAR when activating either ADJUST_STFLUX or ADJUST_WSTRESS.
- dimension = nSFF(Ngrids)
- routine = mod_scalars.F
- keyword = NSFF
- input = roms.in
- NSperiodic
- North-South periodic boundary condition.
- dimension = NSperiodic(Ngrids)
- option =
- NST
- Number of sediment tracer-type variables, NST=NCS+NNS.
- option = SEDIMENT
- routine = mod_param.F
- nSTA
- Number of time-steps between writing data into stations file. Station data is written at all levels. Ngrids values are expected.
- dimension = nSTA(Ngrids)
- option = STATIONS
- routine = mod_scalars.F
- keyword = NSTA
- input = roms.in
- Nstation
- Number of stations to process in each nested grid. Value(s) are used to dynamically allocate the station arrays. Ngrids values are expected.
- dimension = Nstation(Ngrids)
- option = STATIONS
- routine = mod_param.F
- keyword = NSTATION
- input = stations.in
- NT
- Total number of tracer-type variables for each nested grid. Currently, NT=NAT+NPT+NST+NBT.
- dimension = NT(Ngrids)
- option = SOLVE3D
- routine = mod_param.F
- input = roms.in (derived from NAT+NPT+NST+NBT)
- NtileI
- Number of domain partitions in the I-direction (ξ-coordinate). It must be equal to or greater than one. Ngrids values are expected.
- dimension = NtileI(Ngrids)
- option =
- routine = mod_param.F
- keyword = NtileI
- input = roms.in
- NtileJ
- Number of domain partitions in the J-direction (η-coordinate). It must be equal to or greater than one. Ngrids values are expected.
- dimension = NtileJ(Ngrids)
- option =
- routine = mod_param.F
- keyword = NtileJ
- input = roms.in
- ntimes
- Total number time-steps in current run. If 3D configuration, ntimes is the total of baroclinic time-steps. If only 2D configuration, ntimes is the total of barotropic time-steps.
- option =
- routine = mod_scalars.F
- keyword = NTIMES
- input = roms.in
- ntimes_ana
- Total number time-steps for computing observations impacts interval during the analysis cycle. It is only used when RBL4DVAR_FCT_SENSITIVITY is activated.
- option = RBL4DVAR_FCT_SENSITIVITY
- routine = mod_fourdvar.F, obs_sen_w4dpsas_forecast.h
- keyword = NTIMES_ANA
- input = roms.in
- ntimes_fct
- Total number of timesteps for computing observations impacts interval during the forecast cycle. It is only used when RBL4DVAR_FCT_SENSITIVITY is activated.
- option = RBL4DVAR_FCT_SENSITIVITY
- routine = mod_fourdvar.F, obs_sen_w4dpsas_forecast.h
- keyword = NTIMES_FCT
- input = roms.in
- nTLM
- Number of time-steps between writing fields into tangent linear model file. Ngrids values are expected.
- dimension = nTLM(Ngrids)
- routine = mod_scalars.F
- keyword = NTLM
- input = roms.in
- ntsAVG
- Starting time-step for the accumulation of output time-averaged data. Ngrids values are expected.
- dimension = ntsAVG(Ngrids)
- routine = mod_scalars.F
- keyword = NTSAVG
- input = roms.in
- ntsDIA
- Starting time-step for the accumulation of output time-averaged diagnostics data. Ngrids values are expected.
- dimension = ntsDIA(Ngrids)
- routine = mod_scalars.F
- keyword = NTSDIA
- input = roms.in
- NUD
- Input nudging coefficients file(s).
- dimension = NUD(Ngrids)
- option = NESTING
- routine = read_phypar.F, get_nudgcoef.F
- keyword = NUDNAME
- input = roms.in
- Nuser
- Number of generic user parameters to consider (integer). This integer and the number of values in USER must be the same.
- routine = mod_scalars.F
- keyword = NUSER
- input = roms.in
- NV
- Maximum number of variables in information arrays. Currently, 500.
- option =
- routine = mod_ncparam.F
- input = roms.in
- Nvct
- Parameter to process the Nvct eigenvector of the stabilized representer matrix when computing array modes (here, Nvct=Ninner is the most important while Nvct=1 is the least important) OR cut-off parameter for the clipped analysis to disregard potentially unphysical array modes (that is, all the eigenvectors < Nvct are disregarded).
- option =
- routine = mod_fourdvar.F, inp_par.F
- keyword = Nvct
- input = s4dvar.in
O
- obcfac
- Factor between passive (outflow) and active (inflow) open boundary conditions. The nudging time scales for the active (inflow) conditions are obtained by multiplying the passive values by obcfac. If obcfac > 1, nudging on inflow is stronger than on outflow (recommended). Ngrids values are expected.
- dimension = obcfac(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = OBCFAC
- input = roms.in
- OIFA
- Input forcing filename at observation locations for computing observations impacts during the analysis-forcast cycle when the forecast is initialized with the 4D-Var analysis.
- dimension =
- option =
- routine = mod_iounits.F
- keyword = OIFnameA
- input = s4dvar.in
- OIFB
- Input forcing filename at observation locations for computing observations impacts during the analysis-forecast cycle when the forecast is initialized with the 4D-Var background.
- dimension =
- option =
- routine = mod_iounits.F
- keyword = OIFnameB
- input = s4dvar.in
P
- poros
- Porosity for cohesive and non-cohesive sediment.
- dimension = poros(NST,Ngrids)
- option = SEDIMENT
- routine = mod_ocean.F, mod_sediment.F
- keywords = MUD_POROS, SAND_POROS
- input = sediment.in
Q
R
- R0
- Background density value used in Linear Equation of State. Ngrids values are expected.
- dimension = R0(Ngrids)
- units = kilograms meters^{-3}
- option =
- routine = mod_scalars.F
- keyword = R0
- input = roms.in
- rdrg
- Linear bottom drag coefficient used in the computation of momentum stress. Ngrids values are expected.
- dimension = rdrg(Ngrids)
- units = meters seconds^{-1}
- option =
- routine = mod_scalars.F
- keyword = RDRG
- input = roms.in
- rdrg2
- Quadratic bottom drag coefficient used in the computation of momentum stress. Ngrids values are expected.
- dimension = rdrg2(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = RDRG2
- input = roms.in
- rho
- In situ density anomaly computed as a function of potential temperature, salinity, and depth.
- .
- dimension = rho(LBi:UBi,LBj:UBj,N(ng))
- pointer = OCEAN(ng)%rho
- tangent = tl_rho
- adjoint = ad_rho
- units = kilogram meter^{-3}
- grid = ρ-points
- option = SOLVE3D, NONLIN_EOS
- routine = rho_eos.F
- It can computed using a linear or nonlinear equation of state. The nonlinear equation of state is based on Jackett and McDougall (1992) polynomial expressions.
- rho0
- Mean density used when the Boussinesq approximation is inferred.
- units = kilograms meters^{-3}
- routine = mod_scalars.F
- keyword = RHO0
- input = roms.in
- Ritz_tol
- Relative accuracy of the Ritz values computed in the GST analysis.
- routine = mod_scalars.F
- keyword = Ritz_tol
- input = roms.in
- Rscheme
- Random number generation scheme if randomization:
- [1] Gaussian distributed deviates, numerical recipes
- Ngrids values are expected.
- dimension = Rscheme(Ngrids)
- routine = nomalization.F, read_asspar.F, white_noise.F
- keyword = Rscheme
- input = s4dvar.in
- RST
- Restart NetCDF file name. Ngrids values are expected.
- dimension = RST(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = RSTNAME
- input = roms.in
S
- S0
- Background salinity (nondimensional) constant used in Linear Equation of State. Ngrids values are expected.
- dimension = S0(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = S0
- input = roms.in
- Scoef
- Saline contraction coefficient in Linear Equation of State. Ngrids values are expected.
- dimension = Scoef(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = SCOEF
- input = roms.in
- Sd50
- Median grain diameter for cohesive and non-cohesive sediment.
- dimension = Sd50(NST,Ngrids)
- units = millimeters
- option = SEDIMENT
- routine = mod_ncparam.F, mod_ocean.F, mod_sediment.F
- keywords = MUD_SD50, SAND_SD50
- input = sediment.in
- settle_size
- Planktonic larvae settlement size (um). Ngrids values are expected.
- dimension = settle_size(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = settle_size
- input = behavior_oyster.in
- sink_base
- Larval sinking exponential factor (mm/s) for larval sinking rate (mm/s), as a function of larval size (um). Ngrids values are expected.
- dimension = sink_base(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = sink_base
- input = behavior_oyster.in
- sink_rate
- Sinking exponential rate factor (1/um) for larval sinking rate (mm/s), as a function of larval size (um). Ngrids values are expected.
- dimension = sink_rate(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = sink_rate
- input = behavior_oyster.in
- sink_size
- Larval size (um) for mean exponential sinking for larval sinking rate (mm/s), as a function of larval size (um). Ngrids values are expected.
- dimension = sink_size(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = sink_size
- input = behavior_oyster.in
- slope_Sdec
- Coefficient {d} due to decreasing salinity. Ngrids values are expected.
- dimension = slope_Sdec(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = slope_Sdec
- input = behavior_oyster.in
- slope_Sinc
- Coefficient {c} due to increasing salinity. Ngrids values are expected.
- dimension = slope_Sinc(Ngrids)
- option = FLOATS, Options#FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = slope_Sinc
- input = behavior_oyster.in
- SO_decay
- Stochastic optimals time decorrelation scale assumed for red noise processes. Ngrids values are expected.
- dimension = SO_decay(Ngrids)
- units = days
- option =
- routine = mod_scalars.F
- keyword = SO_decay
- input = roms.in
- SO_sdev
- Stochastic optimals surface forcing standard deviation for dimensionalization.
- routine = mod_scalars.F
- keyword = SO_sdev
- input = roms.in
- SOstate
- Logical switches (T/F) to specify the state surface forcing variables whose stochastic optimals are required.
- routine = mod_scalars.F
- keyword = SOstate
- input = roms.in
- Sout
- Set of switches that determine what fields are written to the stations output file (STAname).
- dimension = Sout(NV,Ngrids)
- option = STATIONS
- routine = mod_ncparam.F
- keyword = Sout
- input = stations.in
- sparnam
- Input sediment transport parameters (sediment.in) file name.
- option = SEDIMENT
- routine = mod_iounits.F
- keyword = SPARNAM
- input = roms.in
- sposnam
- Input initial stations positions (stations.in) file name.
- option = STATIONS
- routine = mod_iounits.F
- keyword = SPOSNAM
- input = roms.in
- Srho
- Sediment grain density for cohesive and non-cohesive sediment.
- dimension = Srho(NST,Ngrids)
- units = kilograms meter^{-3}
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_SRHO, SAND_SRHO
- input = sediment.in
- SSF
- River runoff data. This file is separated from the regular forcing files to allow manipulations over nested grids. A particular nesting grid may or may not have Sources/Sinks forcing. Ngrids values are expected.
- dimension = SSF(Ngrids)
- option = TS_SOURCE
- routine = read_phypar.F
- keyword = SSFNAME
- input = roms.in
- For example, in an application with 3 nested grids but with river forcing in grids 1 and 3 we would have:LuvSrc == T F THere, my_rivers_grid2.nc is a dummy name that will never be processed in ROMS because the logical switches are FALSE in the second grid.
LtracerSrc == 2*T 2*F 2*T
SSFNAME == my_rivers_grid1.nc \
my_rivers_grid2.nc \
my_rivers_grid3.nc
- STA
- Stations output NetCDF file name. Ngrids values are expected.
- dimension = STA(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = STANAME
- input = roms.in
- swim_DL
- Larval size J-axis increment for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_DL
- input = behavior_oyster.in
- swim_DT
- Temperature I-axis increment for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_DT
- input = behavior_oyster.in
- swim_Im
- Number of values in larval size I-axix for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Im
- input = behavior_oyster.in
- swim_Jm
- Number of values in temperature J-axis for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Jm
- input = behavior_oyster.in
- swim_L0
- Starting value for temperature I-axis for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_
- input = behavior_oyster.in
- swim_Sdec
- Fraction active {f} due to decreasing salinity for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius). Ngrids values are expected.
- dimension = swim_Sdec(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Sdec
- input = behavior_oyster.in
- swim_Sinc
- Fraction active {d} due to increasing salinity for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius). Ngrids values are expected.
- dimension = swim_Sinc(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Sinc
- input = behavior_oyster.in
- swim_T0
- Starting value for larval size J-axis for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_T0
- input = behavior_oyster.in
- swim_table
- Look-up table, swim_table(58,24) for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius).
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_table
- input = behavior_oyster.in
- swim_Tmax
- Maximum swimming time fraction for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius). Ngrids values are expected.
- dimension = swim_Tmax(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Tmax
- input = behavior_oyster.in
- swim_Tmin
- Minimum swimming time fraction for planktonic larvae swimming speed (mm/s) as a function of larval size (um) and temperature (Celsius). Ngrids values are expected.
- dimension = swim_Tmin(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = swim_Tmin
- input = behavior_oyster.in
- sz_alpha
- Surface flux from wave dissipation used in the various formulations of surface turbulent kinetic energy flux in the GLS. Ngrids values are expected.
- dimension = sz_alpha(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = SZ_ALPHA
- input = roms.in
T
- t
- Tracer-type variables, .
- dimension = t(LBi:UBi,LBj:UBj,N(ng),3,NT(ng))
- pointer = OCEAN(ng)%t
- tangent = tl_t
- adjoint = ad_t
- grid = ρ-points
- option = SOLVE3D
- routine = step3d_t.F
- This array contains all the tracer fields. They are classified as active (potential temperature, salinity), inert (dyes, pollutants, oil spills, etc), passive (sediment, biology). There is a index identifier for each tracer field (see table below). Notice that salinity does not have physical units. Usually PSU is used to indicate that the practical salinity scale was used to determine conductivity.
Index | Field | Units | CPP |
---|---|---|---|
itemp | Potential temperature | Celsius | SOLVE3D |
isalt | Salinity | None | SALINITY |
inert(1:NPT) | NPT inert tracers | kilogram meter^{-3} | T_PASSIVE |
idsed(1:NST) | NST sediment tracers | kilogram meter^{-3} | SEDIMENT |
idbio(1:NBT) | NBT biology tracers | millimole meter^{-3} | BIOLOGY |
- T0
- Background potential temperature constant used in Linear Equation of State. Ngrids values are expected.
- dimension = T0(Ngrids)
- units = Celsius
- option =
- routine = mod_scalars.F
- keyword = T0
- input = roms.in
- tau_cd
- Kinematic critical shear for deposition of cohesive and non-cohesive sediment. This is ignored for cohesive sediment.
- dimension = tau_cd(NST,Ngrids)
- units = Newton meter^{-2}
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_TAU_CD, SAND_TAU_CD
- input = sediment.in
- tau_ce
- Kinematic critical shear for erosion of cohesive and non-cohesive sediment.
- dimension = tau_ce(NST,Ngrids)
- units = Newton meter^{-2}
- option = SEDIMENT
- routine = mod_sediment.F
- keywords = MUD_TAU_CE, SAND_TAU_CE
- input = sediment.in
- Tcoef
- Thermal expansion coefficient in Linear Equation of State. Ngrids values are expected.
- dimension = Tcoef(Ngrids)
- option =
- routine = mod_scalars.F
- keyword = TCOEF
- input = roms.in
- Tcline
- Width of surface or bottom boundary layer in which higher vertical resolution is required during stretching. Ngrids values are expected. WARNING: Users need to experiment with theta_b, theta_s and Tcline. We have found out that the model goes unstable with high values of theta_s. In steep and very tall topography, it is recommended to use theta_s < 3.0.
- dimension = Tcline(Ngrids)
- units = meters
- routine = mod_scalars.F
- keyword = TCLINE
- input = roms.in
- theta_b
- S-coordinate bottom control parameter, (0 < theta_b < 1). Ngrids values are expected. WARNING: Users need to experiment with theta_b, theta_s and Tcline. We have found out that the model goes unstable with high values of theta_s. In steep and very tall topography, it is recommended to use theta_s < 3.0.
- dimension = theta_b(Ngrids)
- routine = mod_scalars.F
- keyword = THETA_B
- input = roms.in
- theta_s
- S-coordinate surface control parameter, (0 < theta_s < 20). Ngrids values are expected. WARNING: Users need to experiment with theta_b, theta_s and Tcline. We have found out that the model goes unstable with high values of theta_s. In steep and very tall topography, it is recommended to use theta_s < 3.0.
- dimension = theta_s(Ngrids)
- routine = mod_scalars.F
- keyword = THETA_S
- input = roms.in
- TIDE
- Input tidal forcing file name. Ngrids values are expected.
- dimension = TIDE(Ngrids)
- option =
- routine = read_phypar.F
- keyword = TIDENAME
- input = roms.in
- Reference time origin for tidal forcing. This is the time used when processing input tidal model data. It is needed in routine set_tides.F to compute the correct phase lag with respect ROMS/TOMS initialization time.
- option =
- units = days
- routine = mod_scalars.F
- keyword = TIDE_START
- input = roms.in
- time_ref
- Reference time (yyyymmdd.f) used to compute relative time: elapsed time interval since reference-time.
- option =
- routine = mod_scalars.F
- keyword = TIME_REF
- input = roms.in
- title
- Title of model run.
- keyword = TITLE
- input = roms.in
- tkenu2
- Lateral harmonic constant mixing coefficient for turbulent closure variables. Ngrids values are expected.
- dimension = tkenu2(Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_scalars.F
- keyword = TKENU2
- input = roms.in
- tkenu4
- Lateral biharmonic constant mixing coefficient for turbulent closure variables. Ngrids values are expected.
- dimension = tkenu4(Ngrids)
- units = meters^{4} second^{-1}
- option =
- routine = mod_scalars.F
- keyword = TKENU4
- input = roms.in
- tl_LBC
- Lateral boundary conditions for tangent linear model.
- dimension = tl_LBC(4,nLBCvar,Ngrids)
- option =
- routine = mod_param.F
- tl_M2diff
- If weak constraint 4DVar and the RPM_RELAXATION flag is activated, this coefficient is used to relax 2D momentum in the representer tangent linear solution to the previous outer loop linearized trajectory during the Picard iterations. The user may turn off relaxation by setting this to zero. Ngrids values are expected.
- dimension = tl_M2diff(Ngrids)
- units = meters^{2} second^{-1}
- routine = mod_scalars.F, read_asspar.F, rp_step2d_LF_AM3.h
- keyword = tl_M2diff
- input = s4dvar.in
- tl_M3diff
- If weak constraint 4DVar and the RPM_RELAXATION flag is activated, this coefficient is used to relax 3D momentum in the representer tangent linear solution to the previous outer loop linearized trajectory during the Picard iterations. The user may turn off relaxation by setting this to zero. Ngrids values are expected.
- dimension = tl_M3diff(Ngrids)
- units = meters^{2} second^{-1}
- routine = ad_uv3drelax.F, mod_scalars.F, read_asspar.F, rp_uv3drelax.F, tl_uv3drelax.F
- keyword = tl_M3diff
- input = s4dvar.in
- tl_Tdiff
- If weak constraint 4DVar and the RPM_RELAXATION flag is activated, this coefficient is used to relax tracer type variables diffusion in the representer tangent linear solution to the previous outer loop linearized trajectory during the Picard iterations. The user may turn off relaxation by setting this to zero. MT values are expected.
- dimension = tl_Tdiff(NT,Ngrids)
- units = meters^{2} second^{-1}
- routine = ad_t3drelax.F, mod_scalars.F, read_asspar.F, rp_t3drelax.F, tl_t3drelax.F
- keyword = tl_Tdiff
- input = s4dvar.in
- TLF
- Impulse tangent linear forcing output NetCDF file name. Ngrids values are expected.
- dimension = TLF(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = TLFNAME
- input = roms.in
- TLM
- Tangent linear history output NetCDF file name. Ngrids values are expected.
- dimension = TLM(Ngrids)
- option =
- routine = mod_iounits.F
- keyword = TLMNAME
- input = roms.in
- tnu2
- Lateral harmonic constant mixing coefficient for tracer type variables. If variable horizontal diffusion is activated, tnu2 is the mixing coefficient for the largest grid-cell in the domain.
- dimension = tnu2(MT,Ngrids)
- units = meter^{2} second^{-1}
- option = SEDIMENT, BIOLOGY
- routine = mod_mixing.F, mod_scalars.F
- keywords = MUD_TNU2, SAND_TNU2, TNU2
- input = biology.in, sediment.in
- tnu4
- Square root lateral biharmonic constant mixing coefficient for tracer type variables. If variable horizontal diffusion is activated, tnu4 is the mixing coefficient for the largest grid-cell in the domain.
- dimension = tnu4(MT,Ngrids)
- units = meter^{4} second^{-1}
- option = SEDIMENT, BIOLOGY
- routine = mod_mixing.F, mod_scalars.F
- keywords = MUD_TNU4, SAND_TNU4, TNU4
- input = biology.in, sediment.in
- Tnudg
- Inverse time-scale for nudging tracers at open boundaries and sponge areas.
- dimension = Tnudg(MT,Ngrids)
- option = SEDIMENT, BIOLOGY
- routine = mod_scalars.F
- keywords = MUD_TNUDG, SAND_TNUDG, TNUDG
- input = biology.in, sediment.in
- turb_ambi
- Ambient turbidity level, {turb}, (g/l) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_ambi(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_ambi
- input = behavior_oyster.in
- turb_axis
- Turbidity linear axis crossing {c} for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_axis(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_axis
- input = behavior_oyster.in
- turb_base
- Turbidity base factor, {b}, (g/l) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_base(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_base
- input = behavior_oyster.in
- turb_crit
- Critical turbidity value (g/l) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_crit(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_crit
- input = behavior_oyster.in
- turb_mean
- Turbidity mean, {turb0}, (g/l) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_mean(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_mean
- input = behavior_oyster.in
- turb_rate
- Turbidity rate, {beta}, (1/(g/l)) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_rate(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_rate
- input = behavior_oyster.in
- turb_size
- Minimum larvae size (um) affected by tubidity for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_size(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_size
- input = behavior_oyster.in
- turb_slop
- Turbidity linear slope, {m}, (1/(g/l)) for turbidity effects on planktonic larvae growth. Ngrids values are expected.
- dimension = turb_slop(Ngrids)
- option = FLOATS, FLOAT_OYSTER
- routine = oyster_floats.h, oyster_floats_def.h, oyster_floats_inp.h, oyster_floats_mod.h, oyster_floats_wrt.h
- keyword = turb_slop
- input = behavior_oyster.in
U
- u
- Total momentum component in the -direction, .
- dimension = u(LBi:UBi,LBj:UBj,N(ng),2)
- pointer = OCEAN(ng)%u
- tangent = tl_u
- adjoint = ad_u
- units = meter second^{-1}
- grid = u-points
- option = SOLVE3D
- routine = step3d_uv.F
- ubar
- Vertically-integrated momentum component in the -direction, .
- dimension = ubar(LBi:UBi,LBj:UBj,3)
- pointer = OCEAN(ng)%ubar
- tangent = tl_ubar
- adjoint = ad_ubar
- units = meter second^{-1}
- grid = u-points
- routine = step2d.F
- UBi
- Array upper bound dimension in the i-direction. In serial and shared-memory applications its value is govern by the value of UPPER_BOUND_I. In distributed-memory its value is a function of the tile partition, UBi=Iend+NghostPoints.
- option = UPPER_BOUND_I
- routine = get_bounds.F, get_tile.F
- UBj
- Array upper bound dimension in the j-direction. In serial and shared-memory applications its value is govern by the value of UPPER_BOUND_J. In distributed-memory its value is a function of the tile partition, UBj=Jend+NghostPoints.
- option = UPPER_BOUND_J
- routine = get_bounds.F, get_tile.F
- Generic User parameters, NUSER values are expected.
- routine = mod_scalars.F
- keyword = USER
- input = roms.in
- USRname
- USER's input generic file name.
- routine = mod_iounits.F
- keyword = USRNAME
- input = roms.in
V
- v
- 3D momentum component in the η-direction, .
- dimension = v(LBi:UBi,LBj:UBj,N(ng),2)
- pointer = OCEAN(ng)%v
- tangent = tl_u
- adjoint = ad_u
- units = meter second^{-1}
- grid = v-points
- option = SOLVE3D
- routine = step3d_uv.F
- varname
- Input variable information file name. This file needs to be processed first so all information arrays can be initialized properly. The default file is at ROMS/External/varinfo.dat.
- keyword = VARNAME
- input = roms.in
- vbar
- Vertically-integrated momentum component in the η-direction, .
- dimension = vbar(LBi:UBi,LBj:UBj,3)
- pointer = OCEAN(ng)%vbar
- tangent = tl_vbar
- adjoint = ad_vbar
- units = meter second^{-1}
- grid = v-points
- routine = step2d.F
- Vgamma
- Vertical stability and accuracy factor (< 1) used to scale the time-step of the convolution operator below its theoretical limit. Notice that four values are needed for Vgamma to facilitate the error covariance modeling for:
- [1] initial conditions
- [2] model
- [3] boundary conditions
- [4] surface forcing
- dimension = Vgamma(4)
- routine = metrics.F, mod_netcdf.F, mod_scalars.F, read_asspar.F
- keyword = Vgamma
- input = s4dvar.in
- visc2
- Lateral harmonic constant mixing coefficient for momentum. Ngrids values are expected. If variable horizontal viscosity is activated, visc2 is the mixing coefficient for the largest grid-cell in the domain.
- dimension = visc2(Ngrids)
- units = meters^{2} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keyword = VISC2
- input = roms.in
- visc4
- Lateral biharmonic constant mixing coefficient for momentum. Ngrids values are expected. If variable horizontal viscosity is activated, visc4 is the mixing coefficient for the largest grid-cell in the domain.
- dimension = visc4(Ngrids)
- units = meters^{4} second^{-1}
- option =
- routine = mod_mixing.F, mod_scalars.F
- keyword = VISC4
- input = roms.in
- VolCons
- Lateral open boundary edge volume conservation switch for the nonlinear model. This is usually activated with radiation boundary conditions to enforce global mass conservation. Notice that these switches should not be activated if tidal forcing enabled.
- dimension = VolCons(4,Ngrids)
- option =
- routine = mod_scalars.F
- keyword = VolCons
- input = roms.in
- Vstretching
- Selects the vertical stretching function, C(s). Ngrids values are expected. Possible values are:
- 1 - Original function in ROMS from the very beginning from Song and Haidvogel (1994)
- 2 - A. Shchepetkin function from UCLA-ROMS
- 3 - R. Geyer function for shallow sediment applications
- 4 - A. Shchepetkin improved double stretching
- 5 - Souza et al. quadratic Legendre polynomial function that allows higher resolution near the surface
- See Vertical S-coordinate for more information.
- dimension = Vstretching(Ngrids)
- routine = mod_scalars.F
- keyword = Vstretching
- input = roms.in
- Vtransform
- Selects the vertical transform equation. Ngrids values are expected. Possible values are:
- 1 - Original formulation that has been in ROMS since 1999 described in Shchepetkin and McWilliams (2005)
- 2 - New formulation developed by A. Shchepetkin
- See Vertical S-coordinate for more information.
- dimension = Vtransform(Ngrids)
- routine = mod_scalars.F
- keyword = Vtransform
- input = roms.in
W
- W
- Terrain-following, vertical velocity component, .
- dimension = W(LBi:UBi,LBj:UBj,0:N(ng))
- pointer = OCEAN(ng)%W
- tangent = tl_W
- adjoint = ad_W
- units = meter^{3} second^{-1}
- sign = positive downwards (downwelling), negative upwards (upwelling)
- grid = w-points
- option = SOLVE3D
- routine = omega.F
- Wsed
- Particle settling velocity for cohesive and non-cohesive sediment.
- dimension = Wsed(NST,Ngrids)
- option = SEDIMENT
- routine = mod_ncparam.F, mod_ocean.F, mod_sediment.F
- keywords = MUD_WSED, SAND_WSED
- input = sediment.in
- wvel
- True vertical velocity component, . It is computed only for output purposes.
- dimension = wvel(LBi:UBi,LBj:UBj,0:N(ng))
- pointer = OCEAN(ng)%wvel
- units = meter second^{-1}
- sign = positive downwards (downwelling), negative upwards (upwelling
- grid = w-points
- option = SOLVE3D
- routine = wvelocity.F
X
Y
Z
- zeta
- Free-surface, .
- dimension = zeta(LBi:UBi,LBj:UBj,3)
- pointer = OCEAN(ng)%zeta
- tangent = tl_zeta
- adjoint = ad_zeta
- units = meter
- grid = ρ-points
- routine = step2d.F
- z_r
- Actual depths of variables at ρ-points, .
- dimension = z_r(LBi:UBi,LBj:UBj,N(ng))
- pointer = GRID(ng)%z_r
- units = meter
- sign = negative downwards
- grid = ρ-points
- option = SOLVE3D
- routine = set_depths.F
- z_w
- Actual depths of variables at w-points, .
- dimension = z_w(LBi:UBi,LBj:UBj,0:N(ng))
- pointer = GRID(ng)%z_w
- units = meter
- sign = negative downwards
- grid = w-points
- option = SOLVE3D
- routine = set_depths.F
- Znudg
- Nudging time scale for free-surface. Ngrids values are expected.
- dimension = Znudg(Ngrids)
- units = days
- option =
- routine = mod_scalars.F
- keyword = ZNUDG
- input = roms.in
- Zob
- Bottom roughness used in the computation of momentum stress. Ngrids values are expected.
- dimension = Zob(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = Zob
- input = roms.in
- Zos
- Surface roughness used in the computation of momentum stress. Ngrids values are expected.
- dimension = Zos(Ngrids)
- units = meters
- option =
- routine = mod_scalars.F
- keyword = Zos
- input = roms.in
- zos_hsig_alpha
- Roughness from wave amplitude used in the various formulations of surface turbulent kinetic energy flux in the GLS. Ngrids values are expected.
- dimension = zos_hsig_alpha(Ngrids)
- option = GLS_MIXING
- routine = mod_scalars.F
- keyword = ZOS_HSIG_ALPHA
- input = roms.in