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Readers and converters for data acquired by the ASCAT sensor on-board the MetOP satellites

Project description

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Readers and converters for data acquired by the ASCAT sensor on-board the MetOP satellites. Written in Python.

Supported Products

This give a short overview over the supported products. Please see the documentation for detailed examples of how to work with a product.

Read ASCAT data from different sources into a common format supported by pytesmo

Time Series Products

  • ASCAT SSM(Surface Soil Moisture) Time Series

    Available in netCDF format from H-SAF (H25 product)

  • ASCAT SWI(Soil Water Index) Time Series

    Available in binary format from TU Wien

Image products

H-SAF provides several different image products:

  • SM OBS 1 - H07 - Large scale surface soil moisture by radar scatterometer in BUFR format over Europe

  • H16 - SSM ASCAT-B NRT O : Metop-B ASCAT soil moisture 12.5km sampling NRT

  • H103 - SSM ASCAT-B NRT O : Metop-B ASCAT soil moisture 25km sampling NRT

  • H101 - SSM ASCAT-A NRT O : Metop-A ASCAT soil moisture 12.5km sampling NRT

  • H102 - SSM ASCAT-A NRT O : Metop-A ASCAT soil moisture 25km sampling NRT

  • SM OBS 2 - H08 - Small scale surface soil moisture by radar scatterometer in BUFR format over Europe

  • SM DAS 2 - H14 - Profile index in the roots region by scatterometer data assimilation in GRIB format, global

The products H07, H16, H101, H102, H103 come in BUFR format and can be read by the same reader. So examples for the H07 product are equally valid for the other products.

They are available after registration from the H-SAF Website

Documentation

Documentation Status

Installation

Detailed instructions will follow. For now please see the install section in .travis.yml in this repository.

Contribute

We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.

If you want to contribute please follow these steps:

  • Fork the ascat repository to your account

  • Clone the repository, make sure you use git clone --recursive to also get the test data repository.

  • make a new feature branch from the ascat master branch

  • add your feature

  • please include tests for your contributions in one of the test directories We use py.test so a simple function called test_my_feature is enough

  • submit a pull request to our master branch

Note

This project has been set up using PyScaffold 2.5.6. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.

Project details


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ascat-0.1.tar.gz (2.1 MB view hashes)

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