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Processed Forecast Data and Evaluation Code for 0–24 Month Colorado River Streamflow Forecasts


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Type: Resource
Storage: The size of this resource is 132.6 MB
Created: May 15, 2026 at 11:24 p.m. (UTC)
Last updated: May 21, 2026 at 5:04 p.m. (UTC) (Metadata update)
Published date: May 21, 2026 at 5:04 p.m. (UTC)
DOI: 10.4211/hs.c75777eb63ff49c48b90bb37e6c7b00d
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This HydroShare resource supports a study on seasonal-to-biennial streamflow forecasting in the Colorado River Basin. The resource contains processed forecast inputs and outputs, R functions, and example code associated with a 0–24-month lead forecasting framework for April–July naturalized flow at Lees Ferry, Arizona. The framework combines information from Ensemble Streamflow Prediction (ESP), North American Multi-Model Ensemble (NMME) forecasts, antecedent PRISM hydroclimate variables, and large-scale ocean–atmosphere climate indices.

The main experiment documented in this resource uses leave-P-year-out cross-validation with P = 1 for the 1983–2024 hindcast period. Machine-learning models, including Random Forest and Gradient Boosting Machine approaches, are evaluated using deterministic and probabilistic forecast verification metrics. The resource is intended to support reproducibility of the main forecast evaluation, including lead-dependent model performance and metric calculations. Raw external datasets are not redistributed here; users should refer to the original data providers for NMME, ESP, PRISM, and naturalized flow data.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Colorado River Basin, western United States
North Latitude
43.0000°
East Longitude
-105.0000°
South Latitude
31.0000°
West Longitude
-115.0000°

Temporal

Start Date:
End Date:

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Oceanic and Atmospheric Administration Modeling, Analysis, Predictions, and Projections (MAPP) Program — MAPP-NIDIS: Science for the 21st Century Western U.S. Hydroclimate NOAA-OAR-CPO-2023-2007440

How to Cite

Jerez, C., B. Rajagopalan, E. LaJoie, M. Rosencrans, S. Baker, W. P. Miller, S. Shanahan, E. Zagona (2026). Processed Forecast Data and Evaluation Code for 0–24 Month Colorado River Streamflow Forecasts, HydroShare, https://doi.org/10.4211/hs.c75777eb63ff49c48b90bb37e6c7b00d

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

http://creativecommons.org/licenses/by/4.0/
CC-BY

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