cgiar_pet

Global potential evapotranspiration from CGIAR-CSI

Load in Python

from intake import open_catalog

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

• Create a project on GCP; if this is the first time using GCP, a prompt will appear to choose a Google account to link to all GCP-related activities.
• Create a Cloud Billing account associated with the project and enable billing for the project through this account.
• Using Google Cloud IAM, add the Service Usage Consumer role to your account, which enables it to make billed requests on the behalf of the project.
• Through command line, install the Google Cloud SDK; this can be done using conda:

  conda install -c conda-forge google-cloud-sdk

• Initialize the gcloud command line interface, logging into the account used to create the aforementioned project and selecting it as the default project; this will allow the project to be used for requester pays access through the command line:

  gcloud auth login
  gcloud init

• Finally, use gcloud to establish application default credentials; this will allow the project to be used for requester pays access through applications:

  gcloud auth application-default login

Metadata

url	https://cgiarcsi.community/data/global-aridity-and-pet-database
tags	['evapotranspiration']