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End of preview. Expand in Data Studio
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tags:
- zarr
AWS S3 GFS made into refrecnes and stored as paraquet file
Based on the methods discussed in https://github.com/icpac-igad/grib-index-kerchunk Each Paraquet file is 00z run with 15 variables as used in the file https://github.com/icpac-igad/grib-index-kerchunk/blob/main/run_day_gfs_gik.py
| S.No | Description | Variable |
|---|---|---|
| 1 | Convective available potential energy | CAPE:surface |
| 2 | Convective precipitation (water) | ACPCP:surface |
| 3 | Medium cloud cover | MCDC:middle cloud layer |
| 4 | Surface pressure | PRES:surface |
| 5 | Surface upward short-wave radiation flux | USWRF:surface |
| 6 | Surface downward short-wave radiation flux | DSWRF:surface |
| 7 | 2 metre temperature | TMP:2 m above ground |
| 8 | Cloud water | CWAT |
| 9 | Precipitable water | PWAT |
| 10 | Ice water mixing ratio | ICMR:200 mb |
| 11 | Cloud mixing ratio | CLMR:200 mb |
| 12 | Rain mixing ratio | RWMR:200 mb |
| 13 | Total Precipitation | APCP:surface |
| 14 | U component of wind | UGRD:200 mb |
| 15 | V component of wind | VGRD:200 mb |
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