| A Streamflow Bias Correction and Performance Evaluation Web Application for GEOGloWS ECMWF Streamflow Services J Sanchez Lozano, G Romero Bustamante, R Hales, EJ Nelson, ... Hydrology 8 (2), 71, 2021 | 17 | 2021 |
| Enabling stakeholder decision-making with Earth observation and modeling data using Tethys platform EJ Nelson, ST Pulla, MA Matin, K Shakya, N Jones, DP Ames, ... Frontiers in Environmental Science 7, 148, 2019 | 16 | 2019 |
| Tethys App Store: Simplifying deployment of web applications for the international GEOGloWS initiative R Khattar, R Hales, DP Ames, EJ Nelson, NL Jones, G Williams Environmental Modelling & Software 146, 105227, 2021 | 10 | 2021 |
| Extending SC-PDSI-PM with neural network regression using GLDAS data and Permutation Feature Importance SG Ramirez, RC Hales, GP Williams, NL Jones Environmental Modelling & Software, 105475, 2022 | 9 | 2022 |
| The Grids Python Tool for Querying Spatiotemporal Multidimensional Water Data RC Hales, EJ Nelson, GP Williams, N Jones, DP Ames, JE Jones Water 13 (15), 2066, 2021 | 8 | 2021 |
| Hydroviewer: A Web Application to Localize Global Hydrologic Forecasts KR Ashby, RC Hales, J Nelson, DP Ames, GP Williams Open Water Journal 7 (1), 9, 2021 | 7 | 2021 |
| A Streamflow Bias Correction and Validation Method for GEOGloWS ECMWF Streamflow Services JL Sanchez, J Nelson, GP Williams, R Hales, DP Ames, N Jones AGU Fall Meeting Abstracts 2020, GC103-0008, 2020 | 5 | 2020 |
| SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models RC Hales, RB Sowby, GP Williams, EJ Nelson, DP Ames, JB Dundas, ... Hydrology 9 (7), 113, 2022 | 3 | 2022 |
| A post-processing method to calibrate large-scale hydrologic models with limited historical observation data leveraging machine learning and spatial analysis R Hales, JL Sanchez, J Nelson, GP Williams, DP Ames, N Jones AGU Fall Meeting Abstracts 2020, H121-07, 2020 | 3 | 2020 |
| Global Water Sustainability Tools from Earth Observations for the Americas J Nelson, J Biesinger, N Jones, DP Ames, R Hales, GP Williams, ... AGU Fall Meeting Abstracts 2019, GC41C-07, 2019 | 3 | 2019 |
| Projected Effects of Climate Change on the Energy Footprints of US Drinking Water Utilities RB Sowby, RC Hales Hydrology 9 (10), 182, 2022 | 1 | 2022 |
| Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service RC Hales, EJ Nelson, M Souffront, AL Gutierrez, C Prudhomme, S Kopp, ... Journal of Flood Risk Management, e12859, 2022 | 1 | 2022 |
| A Web-based Framework for Managing and Sharing Earth-observation Applications for Water Resources R Khattar, R Hales, DP Ames, J Nelson, N Jones, GP Williams AGU Fall Meeting Abstracts 2020, H038-0005, 2020 | 1 | 2020 |
| LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools AC Cardall, RC Hales, KB Tanner, GP Williams, KN Markert Remote Sensing 15 (6), 1670, 2023 | | 2023 |
| Building and Validating Multidimensional Datasets in Hydrology for Data and Mapping Web Service Compliance JE Jones, RC Hales, K Larco, EJ Nelson, DP Ames, NL Jones, M Iza Water 15 (3), 411, 2023 | | 2023 |
| Sustainably Providing Accurate Local River Discharge Data with Global Hydrologic Modeling and Bias Corrections RC Hales Brigham Young University, 2023 | | 2023 |
| Strengthening Institutional Capacity to Address Environmental Challenges in the Amazon Region J Nelson, JL Sanchez, K Larco, R Hales AGU Fall Meeting Abstracts 2022, GC26C-06, 2022 | | 2022 |
| Cloud Computing Tools for Developing LASSO (L1) Regularized Remote Sensing Models for Optically Complex Waters A Cardall, R Hales, K Tanner, GP Williams, KN Markert AGU Fall Meeting Abstracts 2022, IN16A-01, 2022 | | 2022 |
| Performance-Based Estimation of Lateral Spread Displacement in the State of California: A Case Study for the Implementation of Performance-Based Design in Geotechnical Practice KW Franke, C Fullmer, D Lasson, D Smith, S McClellan, I Stout, R Hales Proceedings of the 4th International Conference on Performance Based Design …, 2022 | | 2022 |
| Extending SC-PDSI-PM with Regression Neural Networks using GLDAS and Permutation Feature Importance S Ramirez, R Hales, G Williams, N Jones AGU Fall Meeting Abstracts 2021, GC45B-0837, 2021 | | 2021 |
Dan AmesProfessor of Civil & Environmental Engineering, Brigham Young UniversityVerified email at byu.edu
