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    zampy

python package for getting Land Surface Model input data.


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3

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zampy

Tool for downloading Land Surface Model input data

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Tool outline:

  • Goal is to retrieve data for LSM model input.
    1. First download the data for the specified location(s) / geographical area.
    2. Be able to load the variables in a standardized way (standardized names & standardized units).
    3. Output the data to standard formats:
      • ALMA / PLUMBER2's ALMA formatted netCDF.
      • CMOR formatted netCDF.
  • User-interaction should go through recipes. For example, see springtime.
    • Recipes define:
      • data folder (where data should be downloaded to)
      • time extent.
      • spatial location / bounding box.
      • datasets to be used
        • variables within datasets
    • Load recipes using Pydantic (for example).
  • Support both a CLI & Python API.

Note: items in italic will not be worked on for now/low priority, but we want to allow space for these in the future.

Instructions for CDS datasets (e.g. ERA5)

To download the following datasets, users need access to CDS via cdsapi:

  • ERA5
  • ERA5 land
  • LAI

First, you need to be a registered user on CDS via the registration page.

Before submitting any request with zampy, please configure your .cdsapirc file following the instructions on https://cds.climate.copernicus.eu/api-how-to.

When downloading a dataset for the first time, it is necessary to agree to the Terms of Use of every datasets that you intend to download. This can only be done via the CDS website. When you try to download these datasets, you will be prompted to go to the terms of use and accept them.

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