Lab-0018

ERA5 Data Component

Model
ERA5 Data Component

Duration
1.0 hrs

Updated
2023-06-12

Download
download

Run online using:

Jupyter
Lab

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/api-how-to) 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 lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.

If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.

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.