The SCM and the UFS Atmosphere access runtime configurations from file input.nml. This file contains various namelists records that control aspects of the I/O, dynamics, physics etc. Most physics-related options are in records &gfs_physics_nml. Some schemes have their own namelist records as described below.

Namelist &gfs_physics_nml pertains to all of the suites used, but some of the variables are only relevant for specific parameterizations. Its variables are defined in file GFS_typedefs.F90 in the host model.
Namelist &gfdl_cloud_microphysics_nml is only relevant when the GFDL microphysics is used, and its variables are defined in module_gfdl_cloud_microphys.F90.
Namelist &cires_ugwp_nml specifies options for the use of CIRES Unified Gravity Wave Physics Version 0.
Namelist &nam_sfcperts specifies whether and how stochastic perturbations are used in the Noah Land Surface Model.

Both the SDF and the input.nml contain information about how to specify the physics suite. Some of this information is redundant, and the user must make sure they are compatible.The safest practice is to use the SDF and namelist provided for each suite, since those are supported configurations. Changes to the SDF must be accompanied by corresponding changes to the namelist. While there is not a one-to-one correspondence between the namelist and the SDF, the tables below show some variables in the namelist that must match the SDF.

NML Description
Option	CCPP scheme or interstitial	Description	Default Value
General options
fhzero	GFS_phys_time_vary	hour between clearing of diagnostic buckets	0.0
h2o_phys	h2ophys	flag for stratosphere h2o scheme	.false.
ldiag3d	see GFS_typedefs.F90	flag for 3D diagnostic fields	.false.
qdiag3d	see GFS_typedefs.F90	flag for 3D tracer diagnostic fields	.false.
lssav	see GFS_typedefs.F90	flag for storing diagnostics	.false.
cplflx	see GFS_typedefs.F90	flag for using fluxes provided by an external model	.false.
cplwav	see GFS_typedefs.F90	flag for using information produced by an external ocean wave model	.false.
cplchm	see GFS_typedefs.F90	flag for coupled chemistry diagnostics	.false.
cplwav2atm	see GFS_typedefs.F90	flag for wave to atm coupling	.false.
lsidea	rayleigh_damp	flag for idealized physics	.false.
oz_phys_2015	ozphys_2015	flag for new (2015) ozone physics	.false.
fhcyc	GFS_phys_time_vary	frequency for surface data cycling in hours	0.0
use_ufo	GFS_phys_time_vary	flag for using unfiltered orography surface option	.false.
ncld	see GFS_typedefs.F90	number of hydrometeors	1
do_mynnsfclay	see GFS_typedefs.F90	flag to activate MYNN-SFCLAY scheme	.false.
prslrd0	rayleigh_damp	pressure level above which to apply Rayleigh damping	0.0d0
ral_ts	rayleigh_damp	time scale for Rayleigh damping in days	0.0d0
do_sppt	GFS_stochastics	flag for stochastic SPPT option	.false.
do_shum	GFS_stochastics	flag for stochastic SHUM option	.false.
do_skeb	GFS_stochastics	flag for stochastic SKEB option	.false.
do_sfcperts	GFS_rrtmg_pre	flag for stochastic surface perturbations option	.false.
imp_physics	choice of microphysics scheme	choice of microphysics scheme: 11: GFDL microphysics scheme 8: Thompson microphysics scheme 10: Morrison-Gettelman microphysics scheme	99
Parameters related to radiation scheme options
pdfcld	GFS_rrtmg_pre	flag for PDF clouds	.false.
fhswr	rrtmg_sw	frequency for shortwave radiation (secs)	3600.
fhlwr	rrtmg_lw	frequency for longwave radiation (secs)	3600.
levr	GFS_rrtmg_setup	number of vertical levels for radiation calculations	-99
nfxr	GFS_rrtmg_pre	second dimension of radiation input/output array fluxr	39+6
iflip	GFS_rrtmg_setup	control flag for vertical index direction 0: index from TOA to surface 1: index from surface to TOA	1
icliq_sw	rrtmg_sw	sw optical property for liquid clouds 0: input cloud optical depth, ignoring iswcice setting 1: cloud optical property scheme based on Hu and Stamnes (1993) [91] method 2: cloud optical property scheme based on Hu and Stamnes (1993) [91] - updated	1
iovr_sw	rrtmg_sw	control flag for cloud overlap in SW radiation 0: random overlapping clouds 1: max/ran overlapping clouds 2: maximum overlap clouds (mcica only) 3: decorrelation-length overlap (mcica only) 4: exponential overlapping method 5: exponential-random overlapping method	1
iovr_lw	rrtmg_lw	control flag for cloud overlap in LW radiation 0: random overlapping clouds 1: max/ran overlapping clouds 2: maximum overlap clouds (mcica only) 3: decorrelation-length overlap (mcica only) 4: exponential overlapping method 5: exponential-random overlapping method	1
ictm	GFS_rrtmg_setup	external data time/date control flag -2: same as 0, but superimpose seasonal cycle from climatology data set -1: use user provided external data for the forecast time, no extrapolation 0: use data at initial condition time, if not available, use latest, no extrapolation 1: use data at the forecast time, if not available, use latest and extrapolation yyyy0: use yyyy data for the forecast time, no further data extrapolation yyyy1: use yyyy data for the forecast. if needed, do extrapolation to match the fcst time	1
crick_proof	GFS_rrtmg_setup	control flag for eliminating CRICK .true.: apply layer smoothing to eliminate CRICK .false.: do not apply layer smoothing	.false.
ccnorm	GFS_rrtmg_setup	control flag for in-cloud condensate mixing ratio .true.: normalize cloud condensate .false.: not normalize cloud condensate	.false.
norad_precip	GFS_rrtmg_setup	control flag for not using precip in radiation (Ferrier scheme) .true.: snow/rain has no impact on radiation .false.: snow/rain has impact on radiation	.false.
ialb	GFS_rrtmg_setup	SW surface albedo control flag: 0: using climatology surface albedo scheme for SW 1: using MODIS based land surface albedo for SW	0
iems	GFS_rrtmg_setup	LW surface emissivity control flag (ab 2-digit integer) : a: =0 set surface air/ground t same for LW radiation =1 set surface air/ground t diff for LW radiation b: =0 use fixed surface emissivity = 1.0 (black-body) =1 use varying climatology surface emissivity (veg based) =2 future development (not yet)	0
iaer	GFS_rrtmg_setup	4-digit aerosol flag (dabc for aermdl, volcanic, LW, SW): d:tropospheric aerosol model scheme flag =0 or none, opac-climatology aerosol scheme =1 use gocart climatology aerosol scheme =2 use gocart prognostic aerosol scheme =5 opac-clim new spectral mapping a:=0 use background stratospheric aerosol =1 include stratospheric volcanic aerosol b:=0 no tropospheric aerosol in LW radiation =1 include tropospheric aerosol in LW c:=0 no tropospheric aerosol in SW radiation =1 include tropospheric aerosol in SW	1
ico2	GFS_rrtmg_setup	$CO_2$ data source control flag: 0: prescribed value (380 ppmv) 1: yearly global averaged annual mean from observations 2: monthly 15 degree horizontal resolution from observations	0
isubc_sw	rrtmg_sw	subgrid cloud approximation control flag in SW radiation: 0: no McICA approximation in SW radiation 1: use McICA with prescribed permutation seeds (test mode) 2: use McICA with randomly generated permutation seeds	0
isubc_lw	rrtmg_lw	subgrid cloud approximation control flag in LW radiation: 0: no McICA approximation in LW radiation 1: use McICA with prescribed permutatition seeds (test mode) 2: use McICA with randomly generated permutation seeds	0
isol	GFS_rrtmg_setup	solar constant scheme control flag: 0: fixed value = 1366.0 $W m^{-2}$ (old standard) 10: fixed value = 1360.8 $W m^{-2}$ (new standard) 1: NOAA ABS-scale TSI table (yearly) with 11-yr cycle approximation 2: NOAA TIM-scale TSI table (yearly) with 11-yr cycle approximation 3: CMIP5 TIM-scale TSI table (yearly) with 11-yr cycle approximation 4: CMIP5 TIM-scale TSI table (monthly) with 11-yr cycle approximation	0
lwhtr	rrtmg_lw	flag for output of longwave heating rate	.true.
swhtr	rrtmg_sw	flag for output of shortwave heating rate	.true.
nhfrad	GFS_time_vary_pre	number of timesteps for which to call radiation on physics timestep (coldstarts)	0
Parameters related to cumulus schemes
imfshalcnv	choice of shallow convective scheme	flag for mass flux shallow convective scheme: 1:July 2010 version of mass-flux shallow convective scheme (operational as of 2016) 2: scale- & aerosol-aware mass-flux shallow convective scheme (2017) 3: scale- & aerosol-aware Grell-Freitas scheme (GSD) 4: new Tiedtke scheme (CAPS) 0: modified Tiedtke's eddy-diffusion shallow convective scheme -1: no shallow convection used	1
imfdeepcnv	choice of deep convective scheme	flag for mass-flux deep convective scheme: -1: Chikira-Sugiyama deep convection (with cscnv = .T.) 1: July 2010 version of SAS convective scheme (operational version as of 2016) 2: scale- & aerosol-aware mass-flux deep convective scheme (2017) 3: scale- & aerosol-aware Grell-Freitas scheme (GSD) 4: new Tiedtke scheme (CAPS)	1
do_deep	see GFS_typedefs.F90	consistency check for deep convection	.true.
shal_cnv	GFS_suite_interstitial	flag for calling shallow convection	.false.
lmfshal	GFS_rrtmg_pre	flag for mass-flux shallow convection scheme in the cloud fraction calculation	shal_cnv .and. (imfshalcnv > 0)
lmfdeep2	GFS_rrtmg_pre	flag for mass-flux deep convection scheme in the cloud fraction calculation	imfdeepcnv == 2 .or. 3 .or.4
random_clds	GFS_phys_time_vary	flag for whether clouds are random	.false.
trans_trac	GFS_suite_interstitial	flag for convective transport of tracers	.false.
cal_pre	GFS_phys_time_vary or GFS_MP_generic	flag for calling precipitation type algorithm	.false.
shcnvcw	samfshalcnv	flag for shallow convective cloud	.false.
cscnv	cs_conv	flag for Chikira-Sugiyama deep convection	.false.
do_aw	cs_conv	flag for Arakawa-Wu scale-awere adjustment	.false.
do_shoc	cs_conv	flag for Simplified Hihger-order Closure (SHOC)	.false.
do_awdd	cs_conv	flag to enable treating convective tendencies following Arakwaw-Wu for downdrafts (2013)	.false.
cs_parm(10)	cs_conv	tunable parameters for Chikira-Sugiyama convection	8.0,4.0,1.0e3,3.5e3,20.0,1.0,-999.,1.,0.6,0.
Parameters related to PBL scheme options
do_mynnedmf	mynnedmf_wrapper*	flag to activate MYNN-EDMF scheme	.false.
do_myjsfc	myjpbl_wrapper	flag for MYJ surface layer scheme	.false
dspheat	satmedmfvdifq, hedmf	flag for using TKE dissipative heating to temperature tendency in hybrid EDMF and TKE-EDMF schemes	.false.
satmedmf	satmedmfvdifq	flag for calling scale-ware TKE-based EDMF PBL scheme	.false.
isatmedmf	satmedmfvdifq	flag for scale-aware TKE-based moist EDMF scheme 0: initial version of satmedmf (Nov.2018) 1: updated version of satmedmf (as of May 2019)	0
hybedmf	hedmf	flag for calling hybrid EDMF PBL scheme	.false.
shinhong	shinhongvdif	flag for scale-aware Shinhong PBL scheme	.false.
do_ysu	see GFS_typedefs.F90	flag for YSU PBL scheme	.false.
debug	see GFS_typedefs.F90	flag for debug printout	.false.
xkzm_h	satmedmfvdifq, hedmf	background vertical diffusion for heat and q	1.0d0
xkzm_m	satmedmfvdifq, hedmf	background vertical diffusion for momentum	1.0d0
xkzm_s	satmedmfvdifq, hedmf	sigma threshold for background mom. diffusion	1.0d0
xkzminv	hedmf	maximum background value of heat diffusivity in the inversion layer	0.3
moninq_fac	hedmf	atmosphere diffusivity coefficient factor	1.0
dspfac	satmedmfvdifq	TKE dissipative heating factor	1.0
bl_upfr	satmedmfvdifq	updraft fraction in boundary layer mass flux scheme	0.13
bl_dnfr	satmedmfvdifq	downdraft fraction in boundary layer mass flux scheme	0.1
grav_settling	mynnedmf_wrapper	flag to activate gravitational settling of cloud droplets as described in Nakanishi (2000) [135]	0
bl_mynn_mixlength	mynnedmf_wrapper	flag for different version of mixing length formulation 0: Original form from Nakanishi and Niino (2009) [134] . NO scale-awareness is applied to the master mixing length, regardless of "scaleware" setting 1: HRRR operational form 201609-201807. Designed to work without the mass-flux scheme. Uses BouLac mixing length in free atmosphere. 2: HRRR operational form 201807-present. Designed to be compatible with mass-flux scheme activated (default)	2
bl_mynn_edmf	mynnedmf_wrapper	flag to activate the mass-flux scheme 0: deactivate mass-flux scheme 1: activate dynamic multiplume mass-flux scheme	0
bl_mynn_edmf_mom	mynnedmf_wrapper	flag to activate the transport of momentum 0: deactivate momentum transport in mass-flux scheme 1: activate momentum transport in dynamic multiplume mass-flux scheme. `bl_mynn_edmf` must be set to 1	1
bl_mynn_edmf_tke	mynnedmf_wrapper	flag to activate the transport of TKE 0: deactivate TKE transport in mass-flux scheme 1: activate TKE transport in dynamic multiplume mass-flux scheme. `bl_mynn_edmf` must be set to 1	0
bl_mynn_edmf_part	mynnedmf_wrapper	flag to partitioning the MF and ED areas	0
bl_mynn_edmf_tkeadvect	mynnedmf_wrapper	activate computation of TKE advection (not yet in use for FV3) false: deactivate TKE advection true: activate TKE advection	.false.
bl_mynn_edmf_tkebudget	mynnedmf_wrapper	flag to activate TKE budget	0
bl_mynn_edmf_cloudpdf	mynnedmf_wrapper	flag to determine which cloud PDF to use 0: use Sommeria-Deardorff subgrid cloud PDF 1: use Kuwano-Yoshida subgrid cloud PDF 2: use modified Chaboureau-Bechtold subgrid cloud PDF	2
bl_mynn_edmf_cloudmix	mynnedmf_wrapper	flag to activate mixing of cloud species 0: deactivate the mixing of any water species mixing ratios 1: activate the mixing of all water species mixing ratios	1
bl_mynn_mixqt	mynnedmf_wrapper	flag to mix total water or individual species 0: mix individual water species separately 1: DO NOT USE	0
icloud_bl	mynnedmf_wrapper	flag to coupling SGS clouds to radiation 0: deactivate coupling subgrid clouds to radiation 1: activate subgrid cloud coupling to radiation (highly suggested)	1
Parameters related to surface perturbation options
nsfcpert	GFS_surface_generic_pre	number of weights for stochastic surface perturbation	0
pertz0	GFS_surface_generic_pre	magnitude of perturbation of momentum roughness length	-999.
pertzt	GFS_surface_generic_pre	magnitude of perturbation of heat to momentum roughness length ratio	-999.
pertshc	GFS_surface_generic_pre	magnitude of perturbation of soil hydraulic conductivity	-999.
pertlai	GFS_surface_generic_pre	magnitude of perturbation of leaf area index	-999.
pertalb	GFS_surface_generic_pre	magnitude of surface albedo perturbation	-999.
pertvegf	GFS_surface_generic_pre	magnitude of perturbation of vegetation fraction	-999.
Parameters related to microphysics scheme options
lradar	gfdl_cloud_microphys	flag for computing radar reflectivity in Thompson MP scheme	.false.
sedi_transport	gfdl_cloud_microphys	flag for turning on horizontal momentum transport during sedimentation	.true.
do_sedi_w	gfdl_cloud_microphys	.true. to turn on vertical motion transport during sedimentation. (not supported in GFS physics)	.false.
do_sedi_heat	gfdl_cloud_microphys	flag for turning on horizontal heat transport during sedimentation	.true.
rad_snow	gfdl_cloud_microphys	flag for considering snow in cloud fraction calculation	.true.
rad_graupel	gfdl_cloud_microphys	flag for considering graupel in cloud fraction calculation	.true.
rad_rain	gfdl_cloud_microphys	flag for considering rain in cloud fraction calculation	.true.
cld_min	gfdl_cloud_microphys	minimum cloud fraction. If total cloud condensate exceeds 1.0e-6 kg/kg, cloud fraction cannot be less than `cld_min`	0.05
const_vi	gfdl_cloud_microphys	flag for using constant cloud ice fall speed	.false.
const_vs	gfdl_cloud_microphys	flag for using constant snow fall speed	.false.
const_vg	gfdl_cloud_microphys	flag for using constant graupel fall speed	.false.
const_vr	gfdl_cloud_microphys	flag for using constant rain fall speed	.false.
vi_fac	gfdl_cloud_microphys	tunable factor for cloud ice fall or the constant cloud ice fall speed when `const_vi` is .true.	1.
vr_fac	gfdl_cloud_microphys	tunable factor for rain fall or the constant rain fall speed when `const_vr` is .true.	1.
vs_fac	gfdl_cloud_microphys	tunable factor for snow fall or the constant snow fall speed when `const_vs` is .true.	1.
vg_fac	gfdl_cloud_microphys	tunable factor for graupel fall or the constant graupel fall speed when `const_vg` is .true.	1.
vi_max	gfdl_cloud_microphys	maximum fall speed for cloud ice	0.5
vs_max	gfdl_cloud_microphys	maximum fall speed for snow	5.0
vg_max	gfdl_cloud_microphys	maximum fall speed for graupel	8.0
vr_max	gfdl_cloud_microphys	maximum fall speed for rain	12.0
qi_lim	gfdl_cloud_microphys	cloud ice limiter to prevent large ice built up in cloud ice freezing and deposition	1.
prog_ccn	gfdl_cloud_microphys	flag for activating prognostic CCN (not supported in GFS Physics)	.false.
do_qa	gfdl_cloud_microphys	.true. to activate inline cloud fraction diagnosis in fast saturation adjustment. .false. to activate inline cloud fraction diagnosis in major cloud microphysics	.true.
fast_sat_adj	gfdl_cloud_microphys	flag for adjusting cloud water evaporation (cloud water -> water vapor), cloud water freezing (cloud water -> cloud ice), cloud ice deposition (water vapor -> cloud ice) when fast saturation adjustment is activated (do_sat_adj = .true. in fv_core_nml block)	.true.
tau_l2v	gfdl_cloud_microphys	time scale for evaporation of cloud water to water vapor. Increasing(decreasing) `tau_l2v` can decrease(boost) deposition of cloud water to water vapor	300.
tau_v2l	gfdl_cloud_microphys	time scale for condensation of water vapor to cloud water. Increasing(decreasing) `tau_v2l` can decrease(boost) condensation of water vapor to cloud water	150.
tau_g2v	gfdl_cloud_microphys	time scale for sublimation of graupel to water vapor. Increasing(decreasing) `tau_g2v` can decrease(boost) sublimation of graupel to water vapor	900.
tau_g2r	gfdl_cloud_microphys	time scale for graupel melting. Increasing(decreasing) `tau_g2r` can decrease(boost) melting of graupel to rain (graupel-> rain)	600.
tau_v2g	gfdl_cloud_microphys	time scale for deposition of water vapor to graupel. Increasing(decreasing) `tau_v2g` can decrease(boost) deposition of water vapor to graupel (water vapor -> graupel)	21600.
tau_l2r	gfdl_cloud_microphys	time scale for autoconversion of cloud water to rain. Increasing(decreasing) `tau_l2r` can decrese(boost) autoconversion of cloud water to rain (cloud water -> rain)	900.
tau_r2g	gfdl_cloud_microphys	time scale for freezing of rain to graupel. Increasing(decreasing) `tau_r2g` can decrease(boost) freezing of rain to graupel (rain->graupel)	900.
tau_i2s	gfdl_cloud_microphys	time scale for autoconversion of cloud ice to snow. Increasing(decreasing) `tau_i2s` can decrease(boost) autoconversion of cloud ice to snow (cloud ice -> snow)	1000.
tau_imlt	gfdl_cloud_microphys	time scale for cloud ice melting. Increasing(decreasing) `tau_imlt` can decrease(boost) melting of cloud ice to cloud water or rain (cloud ice -> cloud water or rain)	600.
tau_smlt	gfdl_cloud_microphys	time scale for snow melting. Increasing(decreasing) `tau_smlt` can decrease(boost) melting of snow to cloud water or rain (snow-> cloud water or rain)	900.
rthresh	gfdl_cloud_microphys	critical cloud water radius for autoconversion (cloud water -> rain). Increasing(decreasing) of `rthresh` makes the autoconversion harder(easier)	10.0e-6
dw_land	gfdl_cloud_microphys	base value for subgrid deviation/variability over land	0.20
dw_ocean	gfdl_cloud_microphys	base value for subgrid deviation/variability over ocean	0.10
ql_gen	gfdl_cloud_microphys	maximum value for cloud water generated from condensation of water vapor (water vapor-> cloud water)	1.0e-3
qi_gen	gfdl_cloud_microphys	maximum value of cloud ice generated from deposition of water vapor (water vapor->cloud ice) or freezing(cloud water -> cloud ice). Increasing(decreasing) `qi_gen` can increas(decrease) cloud ice	1.82e-6
ql_mlt	gfdl_cloud_microphys	maximum value of cloud water allowed from melted cloud ice (cloud ice -> cloud water or rain). Exceedance of which will become rain. Increasing(decreasing) `ql_mlt` can increase(decrease) cloud water and decrease(increase) rain	2.0e-3
qs_mlt	gfdl_cloud_microphys	maximum value of cloud water allowed from melted snow (snow -> cloud water or rain). Exceedance of which will become rain. Increasing(decreasing) `qs_mlt` can increas(decrease) cloud water and decrease (increase) rain	1.0e-6
ql0_max	gfdl_cloud_microphys	threshold of cloud water to rain autoconversion (cloud water -> rain). Increasing(decreasing) `ql0_max` can increase(decrease) rain and decrease(increase) cloud water	2.0e-3
qi0_max	gfdl_cloud_microphys	maximum value of cloud ice generated from other sources like convection. Exceedance of which will become snow. Increasing(decreasing) `qi0_max` can increase(decrease) cloud ice and decrease(increase) snow	1.0e-4
qi0_crt	gfdl_cloud_microphys	threshold of cloud ice to snow autoconversion (cloud ice -> snow). Increasing(decreasing) `qi0_crt` can increase(decrease) cloud ice and decrease(increase) snow	1.0e-4
qs0_crt	gfdl_cloud_microphys	threshold of snow to graupel autoconversion (snow -> graupel). Increasing(decreasing) `qs0_crt` can increase(decrease) snow and decrease(increase) graupel	1.0e-3
qc_crt	gfdl_cloud_microphys	minimum value of cloud condensate to allow partial cloudiness. Partial cloud can only exist when total cloud condensate exceeds `qc_crt`	5.0e-8
c_psaci	gfdl_cloud_microphys	accretion efficiency of cloud ice to snow (cloud ice -> snow). Increasing(decreasing) of `c_psaci` can boost(decrease) the accretion of cloud ice to snow	0.02
c_pgacs	gfdl_cloud_microphys	accretion efficiency of snow to graupel (snow -> graupel). Increasing(decreasing) of `c_pgacs` can boost(decrease) the accretion of snow to graupel	2.0e-3
rh_inc	gfdl_cloud_microphys	relative humidity increment for complete evaporation of cloud water and cloud ice	0.25
rh_inr	gfdl_cloud_microphys	relative humidity increment for sublimation of snow	0.25
rh_ins	gfdl_cloud_microphys	relative humidity increment for minimum evaporation of rain	0.25
rthresh	gfdl_cloud_microphys	critical cloud water radius for autoconversion(cloud water->rain). Increasing(decreasing) of `rthresh` makes the autoconversion harder(easier)	1.0e-5
ccn_l	gfdl_cloud_microphys	base CCN over land. Increasing(decreasing) `ccn_l` can on the one hand boost(decrease) the autoconversion of cloud water to rain, on the other hand make the autoconversion harder(easier). The unit is $cm^{-3}$	270.
ccn_o	gfdl_cloud_microphys	base CCN over ocean. Increasing(decreasing) `ccn_o` can on the one hand boost(decrease) the autoconversion of cloud water to rain, on the other hand make the autoconversion harder(easier). The unit is $cm^{-3}$	90.
c_paut	gfdl_cloud_microphys	autoconversion efficiency of cloud water to rain (cloud water -> rain). Increasing(decreasing) of `c_paut` can boost(decrease) the autoconversion of cloud water to rain	0.55
c_cracw	gfdl_cloud_microphys	accretion efficiency of cloud water to rain (cloud water -> rain). Increasing(decreasing) of `c_cracw` can boost(decrease) the accretion of cloud water to rain	0.9
sat_adj0	gfdl_cloud_microphys	adjust factor for condensation of water vapor to cloud water (water vapor->cloud water) and deposition of water vapor to cloud ice	0.9
use_ppm	gfdl_cloud_microphys	true to use PPM fall scheme; false to use time-implicit monotonic fall scheme	.false.
use_ccn	gfdl_cloud_microphys	true to compute prescribed CCN. It should be .true. when `prog_ccn` = .false.	.false.
mono_prof	gfdl_cloud_microphys	true to turn on terminal fall with monotonic PPM scheme. This is used together with `use_ppm=`.true.	.true.
z_slope_liq	gfdl_cloud_microphys	true to turn on vertically subgrid linear monotonic slope for autoconversion of cloud water to rain	.true.
z_slope_ice	gfdl_cloud_microphys	true to turn on vertically subgrid linear monotonic slope for autoconversion of cloud ice to snow	.false.
de_ice	gfdl_cloud_microphys	true to convert excessive cloud ice to snow to prevent ice over-built from other sources like convection scheme (not supported in GFS physics)	.false.
fix_negative	gfdl_cloud_microphys	true to fix negative water species using nearby points	.false.
icloud_f	gfdl_cloud_microphys	flag (0,1,or 2) for cloud fraction diagnostic scheme	0
irain_f	gfdl_cloud_microphys	flag (0 or 1) for cloud water autoconversion to rain scheme. 0: with subgrid variability; 1: no subgrid variability	0
mp_time	gfdl_cloud_microphys	time step of GFDL cloud microphysics (MP). If `mp_time` isn't divisible by physics time step or is larger than physics time step, the actual MP time step becomes `dt/NINT`[dt/MIN(dt,mp_time)]	150.
alin	gfdl_cloud_microphys	parameter a in Lin et al.(1983). Constant in empirical formula for $U_R$ . Increasing(decreasing) `alin` can boost(decrease) accretion of cloud water by rain and rain evaporation	842.
clin	gfdl_cloud_microphys	parameter c in Lin et al.(1983). Constant in empirical formula for $U_S$ . Increasing(decreasing) `clin` can boost(decrease) accretion of cloud water by snow, accretion of cloud ice by snow, snow sublimation and deposition, and snow melting	4.8
t_min	gfdl_cloud_microphys	temperature threshold for instant deposition. Deposit all water vapor to cloud ice when temperature is lower than `t_min`	178.
t_sub	gfdl_cloud_microphys	temperature threshold for sublimation. Cloud ice, snow or graupel stops(starts) sublimation when temperature is lower(higher) then `t_sub`	184.
mp_print	gfdl_cloud_microphys	.true. to turn on GFDL cloud microphysics debugging print out. (not supported in GFS physics)	.false.
ltaerosol	mp_thompson	flag for using aerosol climotology in Thompson MP scheme	.false.
ttendlim	mp_thompson	temperature tendency limiter per time step in K/s, set to < 0 to deactivate	-999.0
effr_in	gfdl_cloud_microphys, mp_thompson, m_micro	flag for using input cloud effective radii calculation	.false.
cnvcld	see GFS_typedefs.F90	flag for convective cloud	.false.
lgfdlmprad	GFS_rrtmg_pre	flag for GFDL mp scheme and radiation consistency	.false.
do_sb_physics	m_micro	flag for SB2001 autoconversion or accretion	.true.
do_cldice	m_micro	flag for cloud ice processes for MG microphysics	.true.
hetfrz_classnuc	m_micro	flag for heterogeneous freezing for MG microphysics	.false.
mg_nccons	m_micro	flag for constant droplet concentration for MG microphysics	.false.
mg_nicons	m_micro	flag for constant ice concentration for MG microphysics	.false.
mg_ngcons	m_micro	flag for constant graupel concentration for MG microphysics	.false.
sed_supersat	m_micro	flag for allowing supersaturation after sedimentation for MG microphysics	.true.
mg_do_graupel	m_micro	flag for turning on prognostic graupel (with fprcp=2)	.true.
mg_do_hail	m_micro	flag for turning on prognostic hail (with fprcp=2)	.false.
microp_uniform	m_micro	flag for uniform subcolumns for MG microphysics	.true.
mg_do_ice_gmao	m_micro	flag for turning on gmao ice autoconversion in MG microphysics	.false.
mg_do_liq_liu	m_micro	flag for turning on Liu liquid treatment in MG microphysics	.true.
mg_dcs	m_micro	autoconversion size threshold for cloud ice to snow in MG microphysics	200.0
mg_ts_auto_ice(2)	m_micro	autoconversion time scale for ice in MG microphysics	180.0,180.0
mg_qcvar	m_micro	cloud water relative variance in MG microphysics	1.0
mg_rhmini	m_micro	relative humidity threshold parameter for nucleating ice	1.01
mg_ncnst	m_micro	constant droplet num concentration $m^{-3}$	100.e6
mg_ninst	m_micro	constant ice num concentration $m^{-3}$	0.15e6
mg_ngnst	m_micro	constant graupel/hail num concertration $m^{-3}$	0.10e6
mg_berg_eff_factor	m_micro	berg efficiency factor	2.0
mg_precip_frac_method	m_micro	type of precipitation fraction method	'max_overlap'
fprcp	m_micro	number of frozen precipitation species in MG microphysics 0: no prognostic rain and snow 1: MG2 2: MG3	0
pdfflag	m_micro	pdf flag for MG macro physics	4
iccn	m_micro	flag for using IN and CCN forcing in MG2/3 microphysics	.false.
iaerclm	m_micro	flag for initializing aerosol data	.false.
rhcmax	m_micro	maximum critical relative humidity	0.9999999
aero_in	m_micro	flag for using aerosols in Morrison-Gettelman microphysics	.false.
Parameters related to gravity drag scheme options
knob_ugwp_version	cires_ugwp	parameter selects a version of the UGWP implementation in FV3GFS-127L 0: default version delivered to EMC in Jan 2019 for implementation 1: version of UGWP under development that plans to consider the physics-based sources of NGWs (knob_ugwp_wvspec [2:4]), options for stochastic and deterministic excitation of waves (knob_ugwp_stoch), and switches between different UGWP schemes (knob_ugwp_solver)	0
knob_ugwp_doaxyz	cires_ugwp	parameter controls application of the momentum deposition for NGW-schemes 0: the momentum tendencies due to NGWs are calculated, but tendencies do not change the horizontal winds 1: default value; it changes the horizontal momentum tendencies and horizontal winds	1
knob_ugwp_doheat	cires_ugwp	parameter controls application of the heat deposition for NGW-schemes 0: the temperature tendencies due to NGWs are calculated but tendencies do not change the temperature state 1: default value; it changes the temperature tendencies and kinetic temperature	1
knob_ugwp_dokdis	cires_ugwp	parameter controls application of the eddy diffusion due to instability of NGWs 0: the eddy diffusion tendencies due to NGWs are calculated but tendencies do not change the model state vector 1: it computes eddy diffusion coefficient due to instability of NGWs; in UGWP v0, eddy viscosity, heat conductivity and tracer diffusion are not activated	0
knob_ugwp_solver	cires_ugwp	parameter controls the selection of UGWP-solvers(wave propagation, dissipation and wave breaking) for NGWs 1: represents the discrete multi-wave solver with background dissipation and linear wave saturation 2: represents the spectral deterministic solver with background dissipation and spectral saturation 3: represents the discrete multi-wave solver with the background dissipation, extension of Alexander sand Dunkerton (1999) 4: represents the spectral solver with background dissipation, extension of Doppler Spread Theory of Hines (1997)	1
knob_ugwp_ndx4lh	cires_ugwp	parameter controls the selection of the horizontal wavenumber(wavelength) for NGW schemes 1: selects the $4xdx$ sub-grid wavelength, where dx is the horizontal resolution of the model configuration (C96-400km; C768-52km)	2
knob_ugwp_wvspec	cires_ugwp	four-dimensional array defines number of waves in each arimuthal propagation (as defined by knob_ugwp_azdir) for GWs excited due to the following four sources: (1) sub-grid orography (knob_ugwp_wvspec[1]=1), (2) convective (knob_ugwp_wvspec[2]=25), (3) frontal (knob_ugwp_wvspec[3]=25) activity, (4) knob_ugwp_wvspec[4] represents number of wave excited by dynamical imbalances that may mimic both convective and front-jet mechanisms of GW triggering. In UGWP v0, first two elements of the array, knob_ugwp_wvspec(1:2), control number of waves for stationary (OGW) and nonstationary waves (NGWs).	1,32,32,32
knob_ugwp_azdir	cires_ugwp	four-dimensional array that defines number of azimuths for propagation of GWs triggered by four types of physics-based sources (orography, convection, front-jets, and dynamical imbalance). In UGWP v0, first two elements of the array, knob_ugwp_azdir(1:2), control number of azimuths for OGW and NGWs respectively.	2,4,4,4
knob_ugwp_stoch	cires_ugwp	four-dimensional array that control stochastic selection of GWs triggered by four types of physics-based sources. Default values:0,0,0,0 - reflect determinstic selection of GW parameters without stochastic selection	0,0,0,0
knob_ugwp_effac	cires_ugwp	four-dimensional array that control efficiency of GWs triggerd by four types of physics-based sources. Default values: 1.,1.,1.,1. - reflect that calculated GW-tendencies will be applied for the model state.	1.,1.,1.,1.
launch_level	cires_ugwp	parameter has been introduced by EMC during implementation. It defines the interface model level from the surface at which NGWs are launched. Default value for FV3GFS-64L, launch_level=25 and for FV3GFS-128L, launch_level=52.	55
ldiag_ugwp	cires_ugwp	flag for CIRES UGWP diagnostics	.false.
do_ugwp	cires_ugwp	flag for CIRES UGWP revised OGW .T.: revised gwdps_v0 .F.: GFS operational orographic gwdps	.false.; The CIRES Unified Gravity Wave Physics (cires_ugwp) scheme is used in GFSv15p2 and GFSv16beta SDFs with do_ugwp=F in the namelist. In this setting, the cires_ugwp calls the operational GFS v15.2 orographic gravity wave drag (gwdps) scheme. When do_ugwp=.T., the cires_ugwp scheme calls an experimental orographic gravity wave (gwdps_v0)
do_tofd	cires_ugwp	flag for turbulent orographic form drag	.false.
cnvgwd	cires_ugwp	flag for convective gravity wave drag scheme dependent on maxval(cdmbgwd(3:4) == 0.0)	.false.
cdmbgwd(4)	cires_ugwp	multiplication factors for mountain blocking(1), orographic gravity wave drag(2) [1]: GWDPS mountain blocking [2]: GWDPS orographic gravity wave drag [3]: the modulation total momentum flux of NGWs by intensities of the total precipitation [4]: TKE for future tests and applications	2.0,0.25,1.0,1.0
do_cnvgwd	gwdc	flag for convective GWD	cnvgwd .and. maxval(cdmbgwd(3:4)) == 0.0
nmtvr	cires_ugwp	number of topographic variables such as variance etc used in the GWD parameterization-10 more added if GSL orographic drag scheme is used	14
cgwf	cires_ugwp ,gwdc	multiplication factor for convective GWD	0.5d0,0.05d0
do_gwd	see GFS_typedefs.F90	flag for gravity wave drag	maxval(cdmbgwd) > 0.0
gwd_opt	drag_suite	flag for GWD scheme 1: original GFS GWD 3: GSL drag suite 33: GSL drag suite with extra output	1
Parameters related to LSM options
lsm	see GFS_typedefs.F90	flag for land surface model to use 1: Noah LSM 2: NoahMP LSM 3: RUC LSM	1
lsoil	lsm_noah	number of soil layers	4
rdlai	lsm_ruc	flag to read leaf area index from input files	.false.
ivegsrc	lsm_noah, lsm_ruc, noahmpdrv, sfc_diff	flag for vegetation type dataset choice: 0: USGS 1: IGBP(20 category): IGBP must be selected if NoahMP is used 2: UMD (13 category)	2
isot	lsm_noah, lsm_ruc, noahmpdrv	flag for soil type dataset choice: 0: Zobler soil type (9 category) 1: STATSGO soil type (19 category): STATSGO must be selected if NoahMP is used	0
iopt_dveg	noahmpdrv	options for dynamic vegetation 1: off (use table LAI; use FVEG = SHDFAC from input) 2: on (together with iopt_crs = 1) 3: off (use table LAI; calculate FVEG) 4: off (use table LAI; use maximum vegetation fraction) 5: on (use maximum vegetation fraction) 6: on (use FVEG = SHDFAC from input) 7: off (use input LAI; use FVEG = SHDFAC from input) 8: off (use input LAI; calculate FVEG) 9: off (use input LAI; use maximum vegetation fraction)	4
iopt_crs	noahmpdrv	options for canopy stomatal resistance 1: Ball-Berry 2: Jarvis	1
iopt_btr	noahmpdrv	options for soil moisture factor for stomatal resistance 1: Noah (soil moisture) 2: CLM (matric potential) 3: SSIB (matric potential)	1
iopt_run	noahmpdrv	options for runoff and groundwater 1: TOPMODEL with groundwater (Niu et al. 2007 [140]) 2: TOPMODEL with an equilibrium water table (Niu et al. 2005 [139]) 3: original surface and subsurface runoff (free drainage) 4: bats surface and subsurface runoff (free drainage) 5: Miguez-macho&Fan groundwater scheme (Miguez-Macho et al. 2007 [124]; Fan et al. 2007 [53]; needs further testing for public use)	3
iopt_sfc	noahmpdrv	options for surface layer drag coeff (CH&CM) 1: m-o 2: original Noah (Chen et al. 1997 [33])	1
iopt_frz	noahmpdrv	options for supercooled liquid water (or ice fraction) 1: no interation (Niu and Yang (2006) [138] ) 2: Koren's iteration	1
iopt_inf	noahmpdrv	options for frozen soil permeability 1: linear effects, more permeable (Niu and Yang (2006) [138]) 2: nonlinear effects, less permeable (old)	1
iopt_rad	noahmpdrv	options for radiation transfer 1: modified two-stream (gap = f(solar angle, 3d structure ...)<1-fveg) 2: two-stream applied to grid-cell (gap = 0) 3: two-stream applied to vegetated fraction (gap=1-FVEG)	3
iopt_alb	noahmpdrv	options for ground snow surface albedo 1: BATS 2: CLASS	2
iopt_snf	noahmpdrv	options for partitioning precipitation into rainfall and snowfall 1: Jordan (1991) 2: BATS: when sfctmp < tfrz+2.2 3: sfctmp < tfrz 4: use WRF microphysics output	1
iopt_tbot	noahmpdrv	options for lower boundary condition of soil temperature 1: zero heat flux from bottom (zbot and tbot not used) 2: tbot at zbot (8m) read from a file (original Noah)	2
iopt_stc	noahmpdrv	options for snow/soil temperature time scheme (only layer 1) 1: semi-implicit; flux top boundary condition 2: full implicit (original Noah); temperature top boundary condition 3: same as 1, but fsno for ts calculation (generally improve snow; v3.7)	1
nstf_name(5)	sfc_nst	NSST related paramters: nstf_name(1): 0=NSST off, 1= NSST on but uncoupled, 2= NSST on and coupled nstf_name(2): 1=NSST spin up on, 0=NSST spin up off nstf_name(3): 1=NSST analysis on, 0=NSST analysis off nstf_name(4): zsea1 in mm nstf_name(5): zesa2 in mm	/0,0,1,0,5/
Parameters related to other surface scheme options
nst_anl	GFS_phys_time_vary	flag for NSST analysis in gcycle/sfcsub	.false.
frac_grid	fractional grid	flag for fractional grid	.false.
min_lakeice	fractional grid	minimum lake ice value	0.15d0
min_seaice	fractional grid	minimum sea ice value	1.0d-11
min_lake_height	fractional grid	minimum lake height value	250.0
sfc_z0_type	sfc_diff	surface roughness options over ocean 0: no change 6: areodynamical roughness over water with input 10-m wind 7: slightly decrease Cd for higher wind speed compared to 6 negative when cplwav2atm=.true. - i.e. two way wave coupling	0
redrag	sfc_diff	flag for applying reduced drag coefficient for high wind over sea in GFS surface layer scheme	.false.
lheatstrg	GFS_surface_generic_post	flag for canopy heat storage parameterization	.false.
z0fac	GFS_surface_generic_post	surface roughness fraction factor	0.3
e0fac	GFS_surface_generic_post	latent heat flux fraction factor relative to sensible heat flux,e.g., e0fac=0.5 indicates that canopy heat storage for latent heat flux is 50% of that for sensible heat flux	0.5