-
Notifications
You must be signed in to change notification settings - Fork 5
Globsim
Globsim helps you to download reanalysis data from ERA-Interim, MERRA2, and JRA-55 for a target area and to interpolate it to point time series for individual locations (here called 'stations'). This is intended to replace or supplement meteorological observations in remote areas. This page provides high-level information that is required as an entry point to using Globsim. All python code is documented with comment and (doxypyppy?). The sub-directory examples/ contains examples of relevant control files.
Globsim weeks with three differing directories. The source directory is what is contained in this GitHub repository (default: ~/src/globsim). The credentials directory is where your login credential files for the differing reanalyses are found (default: ~/.). The data directory is the location to which data is downloaded and where processed data is found.
Contains credentials files with login information, see directory examples/.
.ecmwfapirc (ERA-Interim credentials)
.merrarc (MERRA2 credentials)
.jra55rc (JRA-55 credentials)
project_a/ (base directory)
project_a/jra-55/ (JRA-55 data)
project_a/eraint/ (ERA-Interim data)
project_a/merra2/ (MERRA 2 data)
project_a/par/ (parameter files for data download and interpolation)
# This is an example of a Globsim download parameter file
# Use extension like this: 'project_a.globsim_download'
# logistics
data_directory = /home/stgruber/storage/project_a/
credentials_directory = ~/.
# chunk size for splitting files and download [days]
chunk_size = 5
# area bounding box [decimal degrees]
bbN = 65.0
bbS = 64.0
bbW = -111.0
bbE = -110.0
# ground elevation range within area [m]
ele_min = 0
ele_max = 2000
# time slice [YYYY/MM/DD]
beg = 2015/07/01
end = 2015/0702)
# variables to download [CF Standard Name Table]
variables = air_temperature, relative_humidity, precipitation_amount, downwelling_longwave_flux_in_air, downwelling_shortwave_flux_in_air, downwelling_shortwave_flux_in_air_assuming_clear_sky, wind_from_direction, wind_speed
This is an example of a Globsim interpolation parameter file. Use extension like this: 'my_stations.globsim_interpolate' station_name, longitude_dd, latitude_dd, elevation_m yellowknife_airport,-114.44234, 62.46720, 207 ekati_airport, -110.60804, 64.70591, 461