envdes/pyclmuapp repository overview

⁠Basic usage: Web interface

Step 1: Run pyclmuapp container

Open the terminal and input follow

docker pull envdes/pyclmuapp:1.0
docker run --hostname clmu-app -p 8080:7860 envdes/pyclmuapp:1.0

then copy http://localhost:8080⁠ to your browser.

⁠1 USP

Step 2: Run simulation by providing surface data and forcing data.

Click Submit button, and then get the result from the left. The Output files are the simulation output files location. The outputs are Netcdf file, which can be read using lots tools, including Xarray and Netcdf4 Python package, Matlab, NCAR Command Language, HDFView, Panoply etc. The figures on the left were generated by Python.

⁠Input Parameters

⁠1 USP

• Case name: Case name, default is pyclmuapp
• CLM surface data: User surface data file, default is None If have the domain file, input the file path.
• Forcing file: User forcing file, default is None. If have the domain file, input the file path.
• Run start date: Start date, default is 2012-08-08.
• Stop option: Stop option, default is ndays, can be nyears, nmonths, ndays.
• Stop_n: Stop number, default is 1. Case length is STOP_OPTION * STOP_N

Additional Inputs

• surf_var: Surface variable to modify, default is None. Can be one/some (use ','(withou space to seperate each)) of 'CANYON_HWR', 'HT_ROOF','THICK_ROOF','THICK_WALL',' WTLUNIT_ROOF','WTROAD_PERV','WIND_HGT_CANYON','NLEV_IM PROAD','TK_ROOF','TK_WALL','TK_IMPROAD','CV_ROOF','CV_ WALL','CV_IMPROAD','EM_IMPROAD','EM_PERROAD','EM_ROOF' ,'EM_WALL','ALB_IMPROAD_DIR','ALB_IMPROAD_DIF','ALB_PERROAD_DIR','ALB_PERROAD_DIF','ALB_ROOF_DIR','ALB_ROOF_DIF','ALB_WALL_DIR','ALB_WALL_DIF','T_BUILDING_MIN'.
• surf_action: Surface action to add, default is 0. The number is same as surf_var with "," seperated (not ", ").
• forcing_var: Forcing variable to modify, default is None. Can be one/some (use ','(withou space to seperate each)) of 'Prectmms','Wind','LWdown','PSurf','Qair','Tair','S Wdown'.
• forcing_action: Forcing action to add, default is 0. The number is same as forcing_var with "," seperated (not ", ").
• run_type: Run type, default is coldstart, can be branch.
• run_refcase: Reference case, default is None.
• run_refdate: Reference date, default is None.
• hist_type: Param for usp. ouput type. Can be GRID, LAND, COLS, default is GRID
• hist_nhtfrq: Param for usp. History file frequency, default is 1 (ouput each time step)
• hist_mfilt: Param for usp. each history file will include mfilt time steps, default is 1000000000
• logfile: Log file, default is pyclmuapp.log.
• case clean: Clean, default is False. True, will clean the case files.

⁠2 Create forcing from ERA5

• Start year: Param for get_forcing. Start year, default is 2012.
• End year: Param for get_forcing. End year, default is 2012.
• Start month: Param for get_forcing. Start month, default is 1.
• End month: Param for get_forcing. End month, default is 12.
• Latitude: Latitude of interesting point.
• Longitude: Longitude of interesting point.
• Zbot: Forcing height.
• CDS API UID: CDS API UID
• CDS API key: API Keys.

How to get CDS API?⁠

⁠3 Create surfdata

• Latitude: Latitude of interesting point.
• Longitude: Longitude of interesting point.
• Percentage of urban land use in each density class, sum should be 100, default is [0,0,100.0]
• Output name: the output surfdata name.

⁠4 Create fake forcing

• Distribution file: Like the file of distribution.csv⁠. Not required. Default file is generated from generate_fake.ipynb⁠.
• Run date: Start date, default is 2012-08-08.
• Stop option: Stop option, default is ndays, can be nyears, nmonths, ndays.
• Stop_n: Stop number, default is 1. Case length is STOP_OPTION * STOP_N
• Zbot: Forcing height.

⁠5 Clean files

• Clean USP files: delete the USP folder.
• Case name: delete the case cache files.
• Clean era5 files: delete the eraß5 cache files.
• Clean cache files: delete the cache files of CLM.