7. Cases

7.1. How to run cases

Only two files are needed to set up and run a case with the SCM. The first is a configuration namelist file found in ccpp-scm/scm/etc/case_config that contains parameters for the SCM infrastructure. The second necessary file is a NetCDF file containing data to initialize the column state and time-dependent data to force the column state. The two files are described below.

7.1.1. Case configuration namelist parameters

The case_config namelist expects the following parameters:

• case_name

  • Identifier for which dataset (initialization and forcing) to load. This string must correspond to a dataset included in the directory ccpp-scm/scm/data/processed_case_input/ (without the file extension).

• sfc_roughness_length_cm

  • Surface roughness length in cm for calculating surface-related fields from specified surface fluxes (only used if surface fluxes are specified).

• reference_profile_choice

  • An integer representing the choice of reference profile to use above the supplied initialization and forcing data (1 \(=\) “McClatchey” profile, 2 \(=\) mid-latitude summer standard atmosphere)

• column_area

  • A list of floating point values representing the characteristic horizontal domain area of each atmospheric column in square meters (this could be analogous to a 3D model’s horizontal grid size or the characteristic horizontal scale of an observation array; these values are used in scale-aware schemes; if using multiple columns, you may specify an equal number of column areas)

• model_ics

  • A boolean set to .true. if UFS atmosphere initial conditions are used rather than field campaign-based initial conditions

• C_RES

  • An integer representing the grid size of the UFS atmosphere initial conditions; the integer represents the number of grid points in each horizontal direction of each cube tile

• input_type

  • 1 => DEPHY-SCM format.

Optional variables (that may be overridden via run script command line arguments) are:

• npz_type

  • Changes the type of FV3 vertical grid to produce (see src/scm_vgrid.F90 for valid values), default=’’.

• vert_coord_file

  • File containing FV3 vertical grid coefficients, default=’’.

• n_levels

  • Specify the integer number of vertical levels, default=127.

• dt

  • Specify the timestep to use (if different than the default specified in ../../src/suite_info.py), default=600.

• do_spinup

  • Set to .true. when allowing the model to spin up before the “official” model integration starts.

• spinup_timesteps

  • Number of timesteps to spin up when do_spinup is true

• lsm_ics

  • Set to .true. when LSM initial conditions are included (but not all ICs from another model)

7.1.2. Case input data file (DEPHY format)

The Development and Evaluation of Physics in atmospheric models (DEPHY) format is an internationally-adopted data format intended for use by SCM and LESs. The initialization and forcing data for each case in the CCPP SCM repository is stored in a NetCDF (version 4) file. Additional cases in DEPHY format, not maintained by the DTC, can be cloned from the DEPHY-SCM repository, and run by providing the DEPHY-SCM file location to the SCM. For example:

cd [...]/ccpp-scm/scm/data
git clone https://github.com/GdR-DEPHY/DEPHY-SCM DEPHY-SCM
cd [...]/ccpp-scm/scm/bin
./run_scm.py -c MAGIC_LEG04A --case_data_dir [...]/ccpp-scm/scm/data/DEPHY-SCM/MAGIC/LEG04A -v

Each DEPHY file has three dimensions (time, t0, levels) and contains the initial conditions (t0, levels) and forcing data (time, levels). Not all fields are required for all cases. For example, the fields hfss and hfls are only needed if the global attributes surface_forcing_temp or surface_forcing_moisture are set to surface_flux and state nudging variables are only required if the nudging_* terms in the global attributes are turned on. Using an active LSM (Noah, NoahMP, RUC) requires many more variables than are listed here. Example files for using with Noah and NoahMP LSMs are included in ccpp-scm/scm/data/processed_case_input/fv3_model_point_noah[mp].nc. More information on the DEPHY format requirements can be found at DEPHY.

Listing 7.1 example NetCDF file (DEPHY format) header for case initialization and forcing data

netcdf MAGIC_LEG04A_SCM_driver {
dimensions:
	t0 = 1 ;
	time = 214 ;
	lev = 2001 ;
variables:
	double t0(t0) ;
		t0:standard_name = "initial_time" ;
		t0:units = "seconds since 2012-10-20 18:00:00" ;
		t0:calendar = "gregorian" ;
	double time(time) ;
		time:standard_name = "forcing_time" ;
		time:units = "seconds since 2012-10-20 18:00:00" ;
		time:calendar = "gregorian" ;
	double lev(lev) ;
		lev:standard_name = "height" ;
		lev:units = "m" ;
	float zh(t0, lev) ;
		zh:standard_name = "height" ;
		zh:units = "m" ;
		zh:coordinates = "t0 zh lat lon" ;
	float pa(t0, lev) ;
		pa:standard_name = "air_pressure" ;
		pa:units = "Pa" ;
		pa:coordinates = "t0 zh lat lon" ;
		ta:coordinates = "t0 zh lat lon" ;
	float theta(t0, lev) ;
		theta:standard_name = "air_potential_temperature" ;
		theta:units = "K" ;
		theta:coordinates = "t0 zh lat lon" ;
	float thetal(t0, lev) ;
		thetal:standard_name = "air_liquid_potential_temperature" ;
		thetal:units = "K" ;
		thetal:coordinates = "t0 zh lat lon" ;
	float qv(t0, lev) ;
		qv:standard_name = "specific_humidity" ;
		qv:units = "1" ;
		qv:coordinates = "t0 zh lat lon" ;
	float qt(t0, lev) ;
		qt:standard_name = "mass_fraction_of_water_in_air" ;
		qt:units = "1" ;
		qt:coordinates = "t0 zh lat lon" ;
	float ps_forc(time) ;
		ps_forc:standard_name = "forcing_surface_air_pressure" ;
		ps_forc:units = "Pa" ;
		ps_forc:coordinates = "time lat lon" ;
	float ug(time, lev) ;
		ug:standard_name = "geostrophic_eastward_wind" ;
		ug:units = "m s-1" ;
		ug:coordinates = "time zh_forc lat lon" ;
	float vg(time, lev) ;
		vg:standard_name = "geostrophic_northward_wind" ;
		vg:units = "m s-1" ;
		vg:coordinates = "time zh_forc lat lon" ;
	float tnta_adv(time, lev) ;
		tnta_adv:standard_name = "tendency_of_air_temperature_due_to_advection" ;
		tnta_adv:units = "K s-1" ;
		tnta_adv:coordinates = "time zh_forc lat lon" ;

// global attributes:
		:case = "MAGIC/LEG04A" ;
		:title = "Forcing and initial conditions for MAGIC Leg04A case - SCM-enabled version" ;
		:reference = "J. McGibbon, C. Bretherton (JAMES 2017)" ;
		:author = "M. Ahlgrimm" ;
		:version = "Created on Wed Jan 11 20:24:24 2023" ;
		:format_version = "DEPHY SCM format version 1" ;
		:modifications = "" ;
		:script = "DEPHY-SCM/MAGIC/LEG04A/driver_SCM.py" ;
		:comment = "" ;
		:start_date = "2012-10-20 18:00:00" ;
		:end_date = "2012-10-25 05:00:00" ;
		:forcing_scale = -1 ;
		:adv_ta = 1 ;
		:adv_theta = 1 ;
		:adv_thetal = 1 ;
		:radiation = "on" ;
		:adv_qv = 1 ;
		:adv_qt = 1 ;
		:adv_rv = 1 ;
		:adv_rt = 1 ;
		:forc_wa = 1 ;
		:forc_wap = 0 ;
		:forc_geo = 1 ;
		:surface_type = "ocean" ;
		:surface_forcing_temp = "ts" ;
		:surface_forcing_moisture = "none" ;
		:surface_forcing_wind = "none" ;
}

7.2. Included Cases

Several cases are included in the repository to serve as examples for users to create their own and for basic research. All case configuration namelist files for included cases can be found in ccpp-scm/scm/etc/case_config and represent the following observational field campaigns:

• Tropical Warm Pool – International Cloud Experiment (TWP-ICE) maritime deep convection

• Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Summer 1997 continental deep convection

• Atlantic Stratocumulus Transition EXperiment (ASTEX) maritime stratocumulus-to-cumulus transition

• Barbados Oceanographic and Meteorological EXperiment (BOMEX) maritime shallow convection

• Large eddy simulation ARM Symbiotic Simulation and Observation (LASSO) for May 18, 2016 (with capability to run all LASSO dates - see Section 7.4) continental shallow convection

• GEWEX Atmospheric Boundary Layer Study (GABLS3) for July 1, 2006 development of a nocturnal low-level jet

• Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition (MOSAiC) - SS: Strongly stably stratified boundary layer (March 2-10 2020) - AMPS: Arctic mixed-phase stratocumuluas cloud (Oct 31 - Nov 5 2019)

• Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) for March 12, 2020 mixed phased clouds in the polar marine boundary layer

For the ARM SGP case, several case configuration files representing different time periods of the observational dataset are included, denoted by a trailing letter. The LASSO case may be run with different forcing applied, so three case configuration files corresponding to these different forcing are included.

In addition, cases can be generated from UFS initial conditions See Section %s for information on how to generate these files for other locations and dates, given appropriate UFS Atmosphere initial conditions and output.

7.3. How to set up new cases

Setting up a new case involves preparing the two types of files listed above. For the case initialization and forcing data file, this typically involves writing a custom script or program to parse the data from its original format to the DEPHY format, listed above. Formatting for DEPHY is documented in the DEPHY repository.

For reference, the following formulas are used:

\[\theta_{il} = \theta - \frac{\theta}{T}\left(\frac{L_v}{c_p}q_l + \frac{L_s}{c_p}q_i\right)\]

\[q_t = q_v + q_l + q_i\]

where \(\theta_{il}\) is the ice-liquid water potential temperature, \(\theta\) is the potential temperature, \(L_v\) is the latent heat of vaporization, \(L_s\) is the latent heat of sublimation \(c_p\) is the specific heat capacity of air at constant pressure, \(T\) is absolute temperature, \(q_t\) is the total water specific humidity, \(q_v\) is the water vapor specific humidity, \(q_l\) is the suspended liquid water specific humidity, and \(q_i\) is the suspended ice water specific humidity.

For the case configuration file, it is most efficient to copy an existing file in ccpp-scm/scm/etc/case_config and edit it to suit one’s case. Recall from subsection Subsection 7.1.1 that this file is used to configure the SCM framework parameters for a given case. Be sure to check that model timing parameters such as the time step and output frequency are appropriate for the physics suite being used. There is likely some stability criterion that governs the maximum time step based on the chosen parameterizations and number of vertical levels (grid spacing). The case_name parameter should match the name of the case input data file that was configured for the case (without the file extension). The parameter should be less than or equal to the length of the forcing data unless the desired behavior of the simulation is to proceed with the last specified forcing values after the length of the forcing data has been surpassed. If the case input data is specified to a lower altitude than the vertical domain, the remainder of the column will be filled in with values from a reference profile. There is a tropical profile and mid-latitude summer profile provided, although one may add more choices by adding a data file to ccpp-scm/scm/data/processed_case_input and adding a parser section to the subroutine get_reference_profile in scm/src/scm_input.f90. Surface fluxes can either be specified in the case input data file or calculated using a surface scheme using surface properties. In addition, one must specify a column_area for each column.

To control the forcing method, one must choose how the momentum and scalar variable forcing are applied. The three methods of Randall and Cripe (1999, JGR) have been implemented: “revealed forcing” where total (horizontal \(+\) vertical) advective tendencies are applied (type 1), “horizontal advective forcing” where horizontal advective tendencies are applied and vertical advective tendencies are calculated from a prescribed vertical velocity and the calculated (modeled) profiles (type 2), and “relaxation forcing” where nudging to observed profiles replaces horizontal advective forcing combined with vertical advective forcing from prescribed vertical velocity (type 3). If relaxation forcing is chosen, a relax_time that represents the timescale over which the profile would return to the nudging profiles must be specified.

7.4. Using other LASSO cases

In order to use other LASSO cases than the one provided, perform the following steps:

1. Access http://archive.arm.gov/lassobrowser and use the navigation on the left to choose the dates for which you would like to run a SCM simulation. Pay attention to the “Large Scale Forcing” tab where you can choose how the large scale forcing was generated, with options for ECMWF, MSDA, and VARANAL. All are potentially valid, and it is likely worth exploring the differences among forcing methods. Click on Submit to view a list of simulations for the selected criteria. Choose from the simulations (higher skill scores are preferred) and check the “Config Obs Model Tar” box to download the data. Once the desired simulations have been checked, order the data (you may need to create an ARM account to do so).

2. Once the data is downloaded, decompress it. From the config directory, copy the files input_ls_forcing.nc, input_sfc_forcing.nc, and wrfinput_d01.nc into their own directory under ccpp-scm/scm/data/raw_case_input/.

3. Modify ccpp-scm/scm/etc/scripts/lasso1_forcing_file_generator_gjf.py to point to the input files listed above. Execute the script in order to generate a case input file for the SCM (to be put in ccpp-scm/scm/data/processed_case_input/):

   ./lasso1_forcing_file_generator_gjf.py
   

4. Create a new case configuration file (or copy and modify an existing one) in ccpp-scm/scm/etc/case_config. Be sure that the case_name variable points to the newly created/processed case input file from above.

7.5. Using UFS Output to Create SCM Cases: UFS Case Generation

7.5.1. Python Dependencies

The scripts here require a few python packages that may not be found by default in all python installations. There is a YAML file with the python environment needed to run the script in ccpp-scm/environment-ufscasegen.yml. To create and activate this environment using conda:

Create environment (only once):

> conda env create -f environment-ufscasegen.yml

This will create the conda environment env_ufscasegen

Activate environment:

> conda activate env_ufscasegen

Note that it may be possible for conda to fail to solve for the environment when attempting to use the yml file. It should still be possible to create the same environment manually:

> conda create --name env_ufscasegen
> conda install -n env_ufscasegen --channel=conda-forge python=3.8.5
> conda install -n env_ufscasegen --channel=conda-forge netcdf4
> conda install -n env_ufscasegen --channel=conda-forge f90nml
> conda install -n env_ufscasegen --channel=conda-forge xarray
> conda install -n env_ufscasegen --channel=conda-forge numpy
> conda install -n env_ufscasegen --channel=conda-forge shapely
> conda install -n env_ufscasegen --channel=conda-forge xesmf

7.5.2. UFS_case_gen.py

A script exists in scm/etc/scripts/UFS_case_gen.py to read in UFS history (output) files and their initial conditions to generate a SCM case input data file, in DEPHY format.

./UFS_case_gen.py [-h] (-l LOCATION LOCATION | -ij INDEX INDEX) -d
DATE -i IN_DIR -g GRID_DIR -f FORCING_DIR -n
CASE_NAME [-t {1,2,3,4,5,6,7}] [-a AREA] [-oc]
[-lam] [-sc] [-near] [-fm] [-vm] [-wn] [-geos]

Mandatory arguments:

1. --location (-l) OR --index (-ij): Either longitude and latitude in decimal degrees east and north of a location OR the UFS grid index with the tile number

   • -l 261.51 38.2 (two floating point values separated by a space)

   • -ij 8 49 (two integer values separated by a space; this option must also use the --tile (-t) argument to specify the tile number)

2. --date (-d) YYYYMMDDHHMMSS: date corresponding to the UFS initial conditions

3. --in_dir (-i): path to the directory containing the UFS initial conditions

4. --grid_dir (-g): path to the directory containing the UFS supergrid files (AKA “fix” directory)

5. --forcing_dir (-f): path to the directory containing the UFS history files

6. --case_name (-n): name of case

Optional arguments:

1. --tile (-t): if one already knows the correct tile for the given longitude and latitude OR one is specifying the UFS grid index (--index argument)

2. --area (-a): area of grid cell in \(m^2\) (if known or different than the value calculated from the supergrid file)

3. --old_chgres (-oc): flag if UFS initial conditions were generated using older version of chgres (global_chgres); might be the case for pre-2018 data

4. --lam (-lam): flag to signal that the ICs and forcing is from a limited-area model run

5. --save_comp (-sc): flag to create UFS reference file for comparison

6. --use_nearest (-near): flag to indicate using the nearest UFS history file gridpoint for calculation of forcing; only valid for use with -fm=1 or -fm=3

7. --forcing_method (-fm): method used to calculate forcing (1=total tendencies from UFS dycore, 2=advective terms calculated from UFS history files, 3=total time tendency terms calculated), default=2

8. --vertical_method (-vm): method used to calculate vertical advective forcing (1=vertical advective terms calculated from UFS history files and added to total, 2=smoothed vertical velocity provided), default=2

9. --wind_nudge (-wn): flag to turn on wind nudging to UFS profiles

10. --geostrophic (-geos): flag to turn on geostrophic wind forcing

Notes Regarding Implemented Forcing Methods

The --forcing_method option hides some complexity that should be understood when running this script since each method has a particular use case and produces potentially very different forcing terms. Forcing method 1 is designed to be used in concert with the three-dimensional UFS. I.e., the UFS must be run with diagnostic tendencies activated so that the nophysics term is calculated and output for all grid points (see https://ccpp-techdoc.readthedocs.io/en/latest/ParamSpecificOutput.html#tendencies). This diagnostic term represents the tendency produced for each state variable by the UFS between calls to the “slow” physics. This includes the tendency due to advection, but also any tendencies due to other non-physics processes, e.g. “fast” physics, coupling to external components, data assimilation, etc. Within the SCM, this diagnostic is used as the forcing term for each state variable. Although one can achieve results as close as possible between a UFS column and the single column model using this method, it will NOT be bit-for-bit for many reasons. Some of these reasons include: diagnostic output is not typically instantaneous for every timestep, the UFS’ vertical coordinate is semi-Lagrangian and includes a remapping step as the surface pressure changes for each column, whereas the SCM uses a Eulerian vertical coordinate without the vertical remapping step, and some interpolation happens in the UFS_case_gen.py script due to the UFS initial conditions and history files using different grids. This method can only be used when the UFS has been configured and run with the anticipation of running the SCM using this forcing method afterward because it requires considerable extra disk space for the additional output.

The –forcing_method 2 option is the most general in the sense that the same method could apply to any three-dimensional model output. For a given column, it uses a configurable number of neighboring grid points to calculate the horizontal advective tendencies using the horizontal components of the three-dimensional wind and horizontal derivatives of the state variables. Note that the script performs some smoothing in the vertical profiles used to calculate the advective terms in order to eliminate small-scale noise in the forcing terms and the derivatives are calculated using a second- or fourth-order centered difference scheme, depending on the number of neighboring points used. Vertical advective terms are calculated based on the specification of –vertical_method (-vm). For vertical_method 1, the vertical advective terms are calculated from the history files using UFS vertical velocities and the same modeled smoothed vertical profiles of the state variables using the upstream scheme. Note that while the horizontal terms use neighboring points, the vertical advective terms only use the central, chosen column. This method is sometimes referred to as “total advective forcing” and tends to be less “responsive” to the SCM-modeled state. I.e., a SCM run using vertical method 2 has a greater chance of deviating from the UFS column state and not being able to “recover”. For this reason, vertical method 2 is often used in the literature, whereby the vertical velocity profile from the three-dimensional model is provided as forcing to the SCM and the vertical advective terms are calculated during the SCM integration using the SCM-modeled state variable profiles.

The final forcing method, 3, uses the three-dimensional history files to calculate profiles of the total time-rate of change of the state variables to use as forcing for the SCM. Note that this is tantamount to strongly nudging the SCM state to the UFS state and already intrinsically includes both the physics and dynamics tendencies. While a simulation using this forcing is more-or-less guaranteed to produce a SCM simulation that closely matches the three-dimensional output of the state variables, it strongly minimizes the contribution of physics in the SCM simulation. Indeed, an SCM simulation without running a physics suite at all would still be expected to closely track the mean state of the three-dimensional column, so this method will likely be of limited use for physics studies.

Forcing the horizontal components of the wind can be notoriously difficult in SCMs, and the most straightforward method is to simply nudge them to the three-dimensional modeled state. This method is achieved by using the –wind_nudge (-wn) option and uses a nudging timescale of one hour. It should be possible to calculate a nudging timescale based on the magnitude of the wind in the neighboring grid cells, although this is not implemented yet.

The second method to force the horizontal wind components is to calculate the geostrophic wind using the “large scale” pressure gradient from the three-dimensional model. This is achieved by using the –geostrophic (-geos) option. What qualifies as large enough of a horizontal gridscale to achieve geostrophic balance is when the Rossby number is much less than one. The script uses a configurable Rossby number (around 0.1) to expand the number of neighboring grid points such that geostrophic balance can be assumed given the particular UFS history file grid. The geostrophic winds are calculated using the horizontal geopotential gradient and the local latitude-dependent Coriolis parameter. From the PBL top downward, the geostrophic winds are assumed to go to zero. In testing with this method, if the initial horizontal winds have a significant ageostrophic component (the initial condition winds are appreciably different than the calculated geostrophic winds), this often leads to spurious clockwise turning of the mean modeled winds with time. An option exists within the script to assume that the mean three-dimensional winds are, in fact, identical to the geostrophic winds as well. Using this option eliminates any spurious turning.

Writing UFS Comparison Data

The –save_comp (or -sc) options allow one to write out the UFS data for the chosen column in NetCDF format. The profiles of the state variables u, v, T, and q_v are written out for the given point for each history file time. In addition, a collection of other diagnostics like profiles of physics tendencies and scalar surface variables are saved and written. One can include any variable that is provided in the UFS history files, although the specific variables are hard-coded in the UFS_case_gen.py file which will require editing to change. The file with comparison data is automatically written out to the scm/data/comparison_data directory, although this is controlled by the COMPARISON_DATA_DIR global variable in the UFS_case_gen.py script. The filename is a concatenation of the case name (specified by the –case_name (-n) argument) and _comp_data.nc.

7.5.3. UFS_forcing_ensemble_generator.py

There is an additional script in scm/etc/scripts/UFS_forcing_ensemble_generator.py to create UFS-caseGen case(s) starting with output from UFS Weather Model (UWM) Regression Tests (RTs). This script provides a wrapper for UFS_case_gen.py for generating multiple cases at once.

UFS_forcing_ensemble_generator.py [-h] -d DIR -n CASE_NAME
(-lonl LON_1 LON_2 -latl LAT_1 LAT_2 -nens NENSMEMBERS |
-lons [LON_LIST] -lats [LAT_LIST] |
-fxy [LON_LAT_FILE])
[-dt TIMESTEP] [-cres C_RES] [-sdf SUITE] [-sc] [-near] [-fm] [-vm] [-wn] [-geos]

Mandatory arguments:

1. --dir (-d): path to UFS Regression Test output

2. --case_name (-n): name of cases

3. Either: (see examples below)

   • --lon_limits (-lonl) AND --lat_limits (-latl) AND --nensmembers (-nens): longitude range, latitude range, and number of cases to create

   • --lon_list (-lons) AND --lat_list (-lats): longitude and latitude of cases

   • --lonlat_file (fxy): file containing longitudes and latitudes

Optional arguments:

1. --timestep (-dt): SCM timestep, in seconds

2. --C_res (-cres): UFS spatial resolution

3. --suite (-sdf): CCPP suite definition file to use for ensemble

4. --save_comp (-sc): flag to create UFS reference file for comparison

5. --use_nearest (-near): flag to indicate using the nearest UFS history file gridpoint

6. --forcing_method (-fm): method used to calculate forcing (1=total tendencies from UFS dycore, 2=advective terms calculated from UFS history files, 3=total time tendency terms calculated), default=2

7. --vertical_method (-vm): method used to calculate vertical advective forcing (1=vertical advective terms calculated from UFS history files and added to total, 2=smoothed vertical velocity provided), default=2

8. --wind_nudge (-wn): flag to turn on wind nudging to UFS profiles

9. --geostrophic (-geos): flag to turn on geostrophic wind forcing

Examples to run from within the scm/etc/scripts directory to create SCM cases starting with the output from a UFS Weather Model regression test(s):

On the supported platforms Derecho (NCAR) and Hera (NOAA), there are staged UWM RTs located at:

• Derecho /glade/scratch/epicufsrt/GMTB/CCPP-SCM/UFS_RTs

• Hera /scratch1/BMC/gmtb/CCPP-SCM/UFS_RTs

7.5.4. Example 1: UFS-caseGen for single point

UFS regression test, control_c192, for a single point using calculated horizontal advective tendencies, supplying the vertical velocity for the vertical advective terms and nudging the horizontal winds:

./UFS_forcing_ensemble_generator.py -d [path_to_regression_tests_output]/control_c192_intel/ -sc --C_RES 192 -dt 360  -n control_c192 -lons 300 -lats 34 -fm 2 -vm 2 -wn

Upon successful completion of the script, the command to run the case(s) will print to the screen. For example,

./run_scm.py --npz_type gfs --file scm_ufsens_control_c192.py --timestep 360

The file scm_ufsens_control_c192.py is created in ccpp-scm/scm/bin/, where the SCM run script is to be exectued.

7.5.5. Example 2: UFS-caseGen for list of points

UFS regression test, control_c384, for multiple points assuming the same forcing method as above:

./UFS_forcing_ensemble_generator.py -d /glade/derecho/scratch/epicufsrt/ufs-weather-model/RT/NEMSfv3gfs/develop-20240607/control_c384_intel/ -sc --C_RES 384 -dt 225 -n control_c384 -lons 300 300 300 300 -lats 34 35 35 37 -fm 2 -vm 2 -wn

Upon successful completion of the script, the command to run the case(s) will print to the screen. For example,

./run_scm.py --npz_type gfs --file scm_ufsens_control_c384.py --timestep 225

The file scm_ufsens_control_c384.py contains ALL of the cases created. Each case created will have the naming convention case_name_nXXX, where the suffix XXX is the case number from 0 to the number of points provided. The contents of the file should look like:

run_list = [{"case": "control_c384_n000", "suite": "SCM_GFS_v16"},
            {"case": "control_c384_n001", "suite": "SCM_GFS_v16"},
            {"case": "control_c384_n002", "suite": "SCM_GFS_v16"},
            {"case": "control_c384_n003", "suite": "SCM_GFS_v16"}]

7.5.6. Example 3: UFS-caseGen for an ensemble of points

UFS regression test, control_p8, for an ensemble (10) of randomly selected points over a specified longitude (\(300-320^oW\)) and latitude (\(40-50^oN\)) range

But first, to use the control_p8 test we need to rerun the regression test to generate UFS history files with a denser and constant output interval. First, in control_p8/model_configure, change --output_fh to "interval -1", where interval is the UFS history file output frequency (in hours), see UFS Weather Model Users Guide for more details.

For the purposes of this example the control_p8 test has already been rerun, but if starting from your own UWM RTs, you can rerun the UWM regression test, on Derecho for example, by running the following command in the RT directory: qsub job_card

Now the cases can be generated with the following command:

./UFS_forcing_ensemble_generator.py -d /glade/derecho/scratch/epicufsrt/ufs-weather-model/RT/NEMSfv3gfs/develop-20240607/control_p8_intel -sc --C_RES 96 -dt 720 -n control_p8 -lonl 300 320 -latl 40 50 -nens 10 -sdf SCM_GFS_v17_p8

Upon successful completion of the script, the command to run the case(s) will print to the screen. For example,

./run_scm.py --npz_type gfs --file scm_ufsens_control_p8.py --timestep 720

The file scm_ufsens_control_p8.py contains ten cases (n000-n009) to be run. The contents of the file should look like:

run_list = [{"case": "control_p8_n000", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n001", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n002", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n003", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n004", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n005", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n006", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n007", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n008", "suite": "SCM_GFS_v17_p8"},
            {"case": "control_p8_n009", "suite": "SCM_GFS_v17_p8"}]