Skip to main content

Readers and converters for data from the GLDAS Noah Land Surface Model.

Project description

https://travis-ci.org/TUW-GEO/gldas.svg?branch=master https://coveralls.io/repos/github/TUW-GEO/gldas/badge.svg?branch=master https://badge.fury.io/py/gldas.svg https://zenodo.org/badge/12761/TUW-GEO/gldas.svg

Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python.

Works great in combination with pytesmo.

Installation

Setup of a complete environment with conda can be performed using the following commands:

conda create -q -n gldas-environment -c conda-forge numpy netCDF4 pyproj pygrib
source activate gldas-environment
pip install gldas

This will also try to install pygrib for reading the GLDAS grib files. If this does not work then please consult the pygrib manual.

Downloading products

In order to download GLDAS NOAH products you have to register an account with NASA’s Earthdata portal. Instructions can be found here.

After that you can use the command line program gldas_download.

mkdir ~/workspace/gldas_data
gldas_download ~/workspace/gldas_data

would download GLDAS Noah version 1 in 0.25 degree sampling into the folder ~/workspace/gldas_data. For more options run gldas_download -h.

Supported Products

At the moment this package only supports GLDAS Noah data version 1 in grib format with a spatial sampling of 0.25 degrees. It should be easy to extend the package to support other GLDAS based products. This will be done as need arises.

Documentation

Documentation Status

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gldas-0.3.tar.gz (777.0 kB view details)

Uploaded Source

Built Distribution

gldas-0.3-py2.py3-none-any.whl (11.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gldas-0.3.tar.gz.

File metadata

  • Download URL: gldas-0.3.tar.gz
  • Upload date:
  • Size: 777.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for gldas-0.3.tar.gz
Algorithm Hash digest
SHA256 9ea5e088419544b7975abde5d10fe2a6925ce9b2e3e30878e2bbaefef1add9d1
MD5 e3138b65deaf8230a42712618afeb82f
BLAKE2b-256 bcb2154f444a320a2533cd472e564e3e6300f35eaefd3fa695e81966a9a2d5b1

See more details on using hashes here.

File details

Details for the file gldas-0.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gldas-0.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2c5cea8ca95edd50f97762f3849ee4215f975d07ad660fd7ece48e18157e08e9
MD5 5dcb202fb4141dea0bb4c25549cbff79
BLAKE2b-256 e8c1bda5e287f7e59d0d76221d41f1c070e30e58af77da4e6ac781523e0420fe

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page