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RFS V2

Example Use Cases

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

RFS V1

Model Design

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

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

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

Formative Research

  • 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
    A Systems Approach to Routing Global Gridded Runoff through Local High-Resolution Stream Networks for Flood Early Warning Systems
    Environmental Modelling and Software, Vol. 120, Article 104501, October 2019
    DOI: 10.1016/j.envsoft.2019.104501

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

Bias Correction

  • 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
    Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model
    DOI: 10.1016/j.envsoft.2024.106235

  • 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
    Discharge-to-water level transformation (DWLT) using monthly duration curves: enhancing the utility of the GEOGLOWS ECMWF hydrological model
    DOI: 10.22541/essoar.173532353.33602073/v1

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

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

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

Validation

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

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

Example Use Cases

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