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Jupyter Notebooks for Evaluating National Water Model Short-Range Flood Forecasts (2021–2022)

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Type:	Resource
Storage:	The size of this resource is 402.3 MB
Created:	Oct 11, 2022 at 3:48 p.m.
Last updated:	Apr 17, 2025 at 9:28 p.m.
Citation:	See how to cite this resource

Sharing Status:	Discoverable
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Abstract

This resource contains a series of Python-based Jupyter Notebooks used to evaluate the performance of short-range flood forecasts from the National Water Model (NWM) across 17 major U.S. flood events between 2021 and 2022. The workflows include gage selection, watershed delineation, land cover and topographic analysis, NWM forecast retrieval via API, and forecast performance evaluation using peak flow, timing, volume, and Kling-Gupta Efficiency metrics. These notebooks support the analyses presented in the mansucript "Comprehensive Evaluation of Short-Range Flood Forecasts in the U.S. National Water Model: A Multi-Region Analysis of Flood Timing, Magnitude, and Basin Influences" submitted to the journal and are intended to promote reproducibility and transparency in large-scale hydrologic model evaluation.

Note: The resource is currently discoverable only. Upon publication of the manuscript, the full dataset will be made accessible and the resource will be published with a DOI.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

CONUS

North Latitude

50.0377°

East Longitude

-64.2480°

South Latitude

24.8092°

West Longitude

-125.5957°

Content

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How to Cite

Maghami, I., D. Ames, A. Aghababaei, A. R. Chapagain, J. Jaramillo Garcia, J. Anderson (2025). Jupyter Notebooks for Evaluating National Water Model Short-Range Flood Forecasts (2021–2022), HydroShare, http://www.hydroshare.org/resource/3fa21e966ccb4005a31585a5eb5e16cc

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

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

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