Data ingestor: 3 months Salient seasonal forecast data into zarr

[danangmassandy]

• Weekly call
• Date range to be pulled is from today to 3 months
• Downloaded netcdf file from salient sdk will be converted to zarr
• GAP should store the historical forecast

[danangmassandy]

Proposed dimensions for zarr structure:

Dimensions:        (forecast_date: 1, forecast_day_idx: 91, lat: 67, lon: 54, ensemble: 50)
Coordinates:
  * forecast_date  (forecast_date) datetime64[ns] 2024-08-01
  * forecast_day_idx (forecast_day_idx) int64 728B 0 1 2 3 4 ... 86 87 88 89 90
  * lat            (lat) float64 ...
  * lon            (lon) float64 ...
Dimensions without coordinates: ensemble
Data variables: (12/19)
    rh_clim        (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    tmax_clim      (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    tsi_clim       (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    wspd_clim      (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    temp_clim      (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    precip_clim    (forecast_date, forecast_day_idx, lat, lon) float32 5MB ...
    ...             ...
    rh             (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...
    tmax           (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...
    tsi            (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...
    wspd           (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...
    precip         (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...
    tmin           (forecast_date, ensemble, forecast_day_idx, lat, lon) float32 265MB ...

When there is a new forecast data, the forecast_date will be expanded. Forecast_day_idx is days from the forecast_date, the values would be 91 days which today's forecast + next 3 months forecast data.