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Notebook - Collecting and Manipulating AORC Meteorological Data

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Created:	Apr 08, 2026 at 4:41 p.m. (UTC)
Last updated:	Apr 14, 2026 at 8:28 p.m. (UTC)
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Abstract

This notebooks explores methods for working with large cloud data stores using tools such as xarray, dask, and geopandas. This exploration is uses the Analysis of Record for Collaboration (AORC) meteorological dataset that is used by the NOAA National Water Model. This notebook provides examples for how to access, slice, and visualize a large cloud-hosted dataset as well as an approach for aligning these data with watershed vector boundaries.

The data used in this notebook can be found at https://registry.opendata.aws/nwm-archive/.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

40.6591°

East Longitude

-111.5470°

South Latitude

40.5827°

West Longitude

-111.7931°

Content

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README.md

Collecting and Manipulating AORC Data

This resource contains is a citation for the Python Jupyter Notebook collecting-and-manipulating-aorc-v1.1.ipynb within the collection of CUAHSI Data Access Notebook examples.

Related Resources

The content of this resource is derived from

https://github.com/abnerbog/notebooks/blob/8eef5e2f9ca35017620d3636ea1c4a06aaded023/Data%20Access%20Examples/AORC%20-%20Data%20Collection%20and%20Manipulation%20Primer/collecting-and-manipulating-aorc-v1.1.ipynb

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
National Oceanic and Atmospheric Administration	COOPERATIVE INSTITUTE FOR RESEARCH TO OPERATIONS IN HYDROLOGY (CIROH)	NA22NWS4320003

How to Cite

Castronova, A. M. (2026). Notebook - Collecting and Manipulating AORC Meteorological Data, HydroShare, http://www.hydroshare.org/resource/1977d240d66b42b69a46e3bcd896d7df

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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