Publications
The GEOGLOWS ECMWF Streamflow Service grew primarily from academic research at Brigham Young University. Considerable work was done to develop and evaluate the technologies which enable this hydrologic model. This is an abbreviated list of publications which resulted from this research. We acknowledge that many scientists and researchers contributes to the successful development and operation of this model.
GEOGLOWS Hydrologic Model
GEOGLOWS V1
- 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: https://scholarsarchive.byu.edu/openwater/vol7/iss1/9/
- Souffront, Michael A., E. James Nelson, Kiran Shakya, Christopher Edwards, Wade Roberts, Corey Krewson, Daniel P. Ames, Norman L. Jones, and 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
- Qiao, Xiaohui, 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, 10.1016/j.envsoft.2019.104501.
- Sikder, Safat, 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, 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
- Sanchez Lozano J, 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. https://doi.org/10.3390/hydrology8020071
Validation
- Jackson, Elise, Wade Roberts, Benjamin Nelsen, Gustavious P. Willliams, 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, 10.1016/j.envsoft.2019.05.001.
- Roberts, Wade, 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.
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 access: here.
- 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.