Lab-0018

From CSDMS

ERA5 Data Component

Duration
1.0 hrs
Updated
2023-06-12
Download
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Contributor(s)
    Tian Gan at INSTAAR - University of Colorado Boulder.

Introduction
bmi_era5 package (https://github.com/gantian127/bmi_era5) is an implementation of the Basic Model Interface (BMI) for the ERA5 dataset (https://confluence.ecmwf.int/display/CKB/ERA5). This package uses the CDS API (https://cds.climate.copernicus.eu/how-to-api) to download the ERA5 dataset and wraps the dataset with Basic Model Interface (BMI) for data control and query.

Classroom organization
In this lab, you will learn how to use the bmi_era5 package to download the ERA5 hourly reanalysis data on single level for 2 meter temperature and total precipitation in Colorado.

Learning objectives
Skills
  • Learn to use CDS API to access ERA5 data
  • Learn to use Basic Model Interface to access ERA5 data and metadata
Key concepts
  • CSDMS Data Component

Lab notes
This notebook is temporarily not functional on the OpenEarthscape JupyterHub due to a required package update. In the meantime, you can run it locally by accessing the notebook from Github: https://github.com/gantian127/bmi_era5.

Requirements
If run locally, see instructions at https://github.com/gantian127/bmi_era5

Acknowledgements
This work is supported by the National Science Foundation under Award No. 2026951, EarthCube Capabilities: Cloud-Based Accessible and Reproducible Modeling for Water and Sediment Research.

References
  • Tucker, G. E., Hutton, E. W. H., Piper, M. D., Campforts, B., Gan, T., Barnhart, K. R., Kettner, A. J., Overeem, I., Peckham, S. D., McCready, L., and Syvitski, J., 2022: CSDMS: a community platform for numerical modeling of Earth surface processes, Geosci. Model Dev., 15, 1413–1439, https://doi.org/10.5194/gmd-15-1413-2022.
  • Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024