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Data format description for the nonlocal gravity wave parameterization dataset

Data Source

The dataset contains input and output training pairs computed using ECMWF's ERA5. The dataset was computed for the years 2010, 2012, 2014, and 2015. One month (from the validation set) is provided here for testing.

Variables Description

  1. Dimensional variables: 64 latitudes (LAT) and 128 longitudes (LON)
  2. features: background atmospheric state, fixed surface variables lat, lon, surface elevation and u,v,T,Pu, v, T, P, concatenated along the vertical dimension.
  3. output: potential temperature θ\theta and momentum fluxes, uω,vωu'\omega',v'\omega', concatenated along the vertical dimension.

Variables Shape

1. Input shape: TIME x IDIM x LAT x LON
2. Output shape: TIME x ODIM x LAT x LON

Here, IDIM = 491, ODIM = 366, LAT=64, LON=128, TIME index ranges from 0 to 24*31 for months wth 31 days

Gravity Wave

Variables Indices

Input: has IDIM=491 (3 + 4x122) channels. It is created by concatenating the latitude (1), longitude (1), surface elevation (1), zonal winds uu (122), meridional winds vv (122), temperature TT (122), and pressure PP (122), along the vertical dimension. IDIM index 0 corresponds to latitude, 1 corresponds to longitude, 2 corresponds to surface elevation for the given latitude and longitude, 3 to 124 correspond to zonal wind, and so on.

Output: has ODIM=366 (3x122) channels. It is created by concatenating the potential temperature θ\theta (122), zonal flux of vertical momentum uωu'\omega' (122) and the meridional flux of vertical momentum vωv'\omega' (122) along the vertical dimension. ODIM 0 to 121 correspond to the potential temperature, and so on.

File Attributes

The netCDF attributes describe the scaling recipe for each variable. To view, execute: ncdump -h (filename)

Contact

https://github.com/amangupta2 or amangupta2@gmail.com
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Models trained or fine-tuned on Prithvi-WxC/Gravity_wave_Parameterization