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Publications

RFS V2

Model Design

  • The Second Generation Geoglows River Forecast System
    Riley Chad Hales, E. James Nelson, Steve Kopp, Heather K. Levin, Amy L. Morris, Michael A. Souffront Alcantara, Angelica Gutiérrez, Rachel Huber Magoffin, Louis Rosas, Yubin Baaniya
    SSRN, May 2025
    DOI: 10.2139/ssrn.5257837

Example Use Cases

  • Hydrologic Decision Support in the Nile Basin: Creating Status Products from the GEOGLOWS Hydrologic Model
    Rachel Huber Magoffin, Riley C. Hales, E. James Nelson, Calvince Wara, Gustavious P. Williams, Andrew South, Zeleke K. Challa
    MDPI Hydrology, February 2025
    DOI: 10.3390/hydrology12030043

Global Flood Mapping Experiments

  • Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Maps Synthesis
    Lyle Prince, Riley C. Hales, Kel N. Markert, E. James Nelson, Gustavious P. Williams, Daniel P. Amers, Hyongki Lee, Amirhossein Rostami
    MDPI Remote Sensing, May 2025
    DOI: 10.3390/rs17091648

RFS V1

Model Design

  • Advancing Global Hydrologic Modeling with the GEOGloWS ECMWF Streamflow Service Riley C. Hales, Jim Nelson, Michael Souffront, Angelica Gutierrez, Christel Prudhomme, Steve Kopp, Dan Ames, Gus Williams, Norm Jones
    Journal of Flood Risk Management, October 2022
    DOI: 10.1111/jfr3.12859

  • Hydroviewer: A Web Application to Localize Global Hydrologic Forecasts Kyler R. Ashby, Riley Chad Hales, Jim Nelson, Daniel P. Ames, Gustavious P. Williams
    Open Water Journal, 2021
    Link

  • Hydrologic Modeling as a Service (HMaaS): A New Approach to Address Hydroinformatic Challenges in Developing Countries
    Michael A. Souffront, E. James Nelson, Kiran Shakya, Christopher Edwards, Wade Roberts, Corey Krewson, Daniel P. Ames, Norman L. Jones, Angelica Gutierrez
    Frontiers in Environmental Science: Freshwater Science, October 2019
    DOI: 10.3389/fenvs.2019.00158

Formative Research

  • A Systems Approach to Routing Global Gridded Runoff through Local High-Resolution Stream Networks for Flood Early Warning Systems Xiaohui Qiao, E. James Nelson, Daniel P. Ames, Zhiyu Li, Cedric H. David, Gustavious P. Williams, Wade Roberts, Jorge Luis Sanchez, Chris Edwards, Michael A. Souffront, Mir A. Matin
    Environmental Modelling and Software, Vol. 120, Article 104501, October 2019
    DOI: 10.1016/j.envsoft.2019.104501

  • Evaluation of Available Global Runoff Datasets through a River Model in Support of Transboundary Water Management in South and Southeast Asia Safat Sikder, Cedric H. David, George H. Allen, Xiaohui Qiao, E. James Nelson, Mir A. Matin
    Frontiers in Environmental Science: Landsurface Dynamics, October 2019
    DOI: 10.3389/fenvs.2019.00171

Bias Correction

  • Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model
    Jorge Luis Sanchez Lozano, D.J. Rojas Lesmes, E.G. Romero Bustamante, R.C. Hales, E.J. Nelson, G.P. Williams, D.P. Ames, N.L. Jones, A.L. Gutierrez, C. Cardona Almeida
    Environment Modeling & Software, January 2025
    DOI: 10.1016/j.envsoft.2024.106235

  • Bias correcting discharge simulations from the GEOGloWS global hydrologic model Riley C. Hales, Gustavious P. Williams, Jorge Luis Sanchez Lozano, E. James Nelson, Daniel P. Ames, Robert B. Sowby
    Journal of Hydrology, November 2023
    DOI: 10.1016/j.jhydrol.2023.130279

  • SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models Riley C. Hales, Robert B. Sowby, Gustavious P. Williams, E. James Nelson, Jonah B. Dundas, Josh Ogden
    MDPI Hydrology, June 2022
    DOI: 10.3390/hydrology9070113

  • A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services Jorge Luis Sanchez Lozano, Romero Bustamante G, Hales RC, Nelson EJ, Williams GP, Ames DP, Jones NL
    Hydrology. 2021; 8(2):71
    DOI: 10.3390/hydrology8020071

Validation

  • Introductory overview: Error metrics for hydrologic modelling – A review of common practices and an open source library to facilitate use and adoption
    Elise Jackson, Wade Roberts, Benjamin Nelsen, Gustavious P. Williams, E. James Nelson, Daniel P. Ames
    Environmental Modeling and Software, May 2019
    DOI: 10.1016/j.envsoft.2019.05.001

  • HydroStats: A Python Package for Characterizing Errors between Observed and Predicted Time Series Wade Roberts, Gustavious P. Williams, Elise Jackson, E. James Nelson, Daniel P. Ames
    Journal of Hydrology, Vol 5, Issue 4, 2018
    DOI: 10.3390/hydrology5040066

Example Use Cases

  • Darlly Rojas-Lesmes, Jorge Sanchez- Lozano, E. James Nelson, Juseth Chancay-Sanchez, Jhonatan Rodriguez-Chaves, Karina Larco-Erazo, E. Giovanni Romero, Mario Trujillo-Vela, Riley C. Hales, Daniel P Ames, Angelica L. Gutierrez
    National Water Level Forecast (NWLF): An open-source customizable web application for the GEOGLOWS ECMWF global hydrologic model
    Information Hydrography, June 2025 DOI: 10.1016/j.infgeo.2025.100008

  • Discharge-to-water level transformation (DWLT) using monthly duration curves: enhancing the utility of the GEOGLOWS ECMWF hydrological model
    Darlly Judith Rojas Lesmes, Jorge Luis Sanchez Lozano, Jim Nelson, Mario German Trujillo Vela, Gus Williams, Daniel P Ames, Norm Jones, Angelica L. Gutierrez, E. Giovanni Romero Bustamante, Riley Hales ESS Open Archive, December 2024
    DOI: 10.22541/essoar.173532353.33602073/v1

  • Connecting Space to Village by Predicting Algae Contamination in Lake Atitlán, Guatemala Alma Meyer, Jorge Luis Sánchez Lozano, E. James Nelson, Africa Flores
    Open Water, June 2021
    Link