basin_mean_forcing_gcp

Camels Basin Mean Forcing

Load in Python

from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/hydro/camels.yaml") ds = cat["basin_mean_forcing_gcp"].to_dask()

Working with requester pays data

Several of the datasets within the cloud data catalog are contained in requester pays storage buckets. This means that a user requesting data must provide their own billing project (created and authenticated through Google Cloud Platform) to be billed for the charges associated with accessing a dataset. To set up an GCP billing project and use it for authentication in applications:

Metadata

origin_url https://ral.ucar.edu/solutions/products/camels

Dataset Contents

Dask DataFrame Structure:
date dayl(s) prcp(mm/day) srad(W/m2) swe(mm) tmax(C) tmin(C) vp(Pa)
npartitions=1
datetime64[ns] float64 float64 float64 float64 float64 float64 float64
... ... ... ... ... ... ... ...
Dask Name: from-delayed, 3 tasks