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stuckyb / gcdl

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GRIDMET #89

Open haitao-git opened 1 year ago

haitao-git commented 1 year ago

GRIDMET

https://www.climatologylab.org/gridmet.html 4-km, 1/24th degree 1979-yesterday Conus and British Columbia, Canada

Primary Climate Variables: Maximum temperature, minimum temperature, precipitation accumulation, downward surface shortwave radiation, wind-velocity, humidity (maximum and minimum relative humidity and specific humidity

Derived variables: Reference evapotranspiration (ASCE Penman-Montieth), Energy Release Component, Burning Index, 100-hour and 1000-hour dead fuel moisture, mean vapor pressure deficit, 10-day Palmer Drought Severity Index *fuel model G (conifer forest)

Direct download https://www.northwestknowledge.net/metdata/data/ total: 730 .nc files, size: 18.903G

also can be downloaded by opendap without authentication, http://thredds.northwestknowledge.net:8080/thredds/reacch_climate_MET_catalog.html

Did a simple opendap test for variable tmin.

from pydap.client import open_url
dataset = open_url('http://thredds.northwestknowledge.net:8080/thredds/dodsC/MET/tmmn/tmmn_2018.nc')
list(dataset.keys())

and got result: ['day', 'air_temperature', 'lat', 'crs', 'lon']

also in gee https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET?hl=en#description

HeatherSavoy-USDA commented 1 year ago

I've started the implementation for this dataset. One new thing about this dataset is that it is updated daily. For this reason, I chose to go with the OPeNDAP service as our source. We have other datasets served by OPeNDAP connections, but this is the first that is ongoing, so I just need to figure out how to handle the ever changing temporal metadata.