Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach-Reference-Cited by-同舟云学术

Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach

Published:2024-04 Issue:4 Volume:150 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Woodson David¹^ORCID,Rajagopalan Balaji²,Zagona Edith³^ORCID

Affiliation:

1. Graduate Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 428, Boulder, CO 80309 (corresponding author). ORCID: .

2. Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 428, Boulder, CO 80309; Fellow, Cooperative Institute for Research in Environmental Sciences, Boulder, CO 80309.

3. Director, Center for Advanced Decision Support for Water and Environmental Systems, Univ. of Colorado Boulder, Boulder, CO 80309; Research Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, UCB 428, Boulder, CO 80309. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JWRMD5.WRENG-6167

Reference94 articles.

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2. Generating Monthly Stream Flow Using Nearest River Data: Assessing Different Trees Models

3. Enhancing Ensemble Seasonal Streamflow Forecasts in the Upper Colorado River Basin Using Multi‐Model Climate Forecasts

4. The Colorado River Basin Operational Prediction Testbed: A Framework for Evaluating Streamflow Forecasts and Reservoir Operations

5. Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics