Step 8: Get atmospheric data from ERA5 (reanalysis data) from ECMWF

[kjschmidt913]

Get atmospheric data from ERA5 (reanalysis data) from ECMWF. The reanalysis data (coarser resolution) is what we ultimately want to be able to upscale to look like the high resolution NEXRAD data. Goal is to train on ERA5 dataset features, and then ultimately be able to apply that algorithm to the ESGF climate dataset (test dataset)

• ESGF data lacks the observational context that the reanalysis data has
• ERA5 is at similar resolution to ESGF climate data, but has additional variables, diff weather events etc – this is closer to the science for a specific event (such as Houston June 2 event)
• RADAR doesnt measure rainfall directly, measures the reflectivity, which is info about scattering (and size and number, eg Z/R relationships) of raindrops
• ERA5 field has precipitation, which the closest analog to RADAR data’s reflectivity field
• Could possibly train a model on this reflectivity data, or could train on the pure images/visualizations
• Want to download the precipitation fields
• Want to visualize precipitation data
• Download data steps
  • Specific subset - https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=form
• Load into xarray dataset

[kjschmidt913]

From our July 5 meeting notes:

• In step 8, there’s a link to the ERA5 data portal
  • in the Download Data tab
  • check Reanalysis button
  • check Total precipitation field and rain fields/other precipitation fields
  • Check year, month, and date (June 2, 2022)
  • select all times
  • export as NETCDF file (NOT grib)

[kjschmidt913]

When you've completed this task, mark the checkbox by your name.

• [x] Braeden Cullen
• [x] Aadit Ambadkar
• [x] Sanjiv Parthasarathy
• [x] Isaac Darling