Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning DOI: 10.1038/s41598-019-43496-w Author(s): Katherine Schlef / CUAHSI Hamid Moradkhani / University of Alabama Upmanu Lall / Columbia University
A data model to manage data for water resources systems modeling No PDF. DOI: 10.1016/j.envsoft.2019.02.005 Technical Reports Author(s): Adel Abdallah / Utah State University David Rosenberg / Utah State University
Sharing Data Helps Puerto Ricans Rebound After Hurricane Maria Author(s): Julia Hart / University of Washington Christina Bandaragoda / University of Washington Graciela Ramirez-Toro / Universidad Interamericana de Puerto Rico
Drone Laser Scanning for Modeling Riverscape Topography and Vegetation: Comparison with Traditional Aerial Lidar This is a direct result of a collaboration developed through an Instrumentation Discovery Travel Grant. The paper demonstrates the benefits of Drone Laser Scanning versus Aerial Laser Scanning for surveying the channel profile and detecting small vegetation on the floodplain in Stroubles Creek (Blacksburg, VA). DOI: 10.3390/drones3020035 Technical Reports Author(s): Jonathan Resop / University of Maryland W.C. Hession / Virginia Teach
CUAHSI Strategic Plan, 2018 – 2023 Strategic Plans Author(s): Jerad Bales / CUAHSI Gordon Grant / Oregon State University
What Goes Up Must Come Down: Integrating Air and Water Quality Monitoring for Nutrients DOI: 10.1021/acs.est.8b03504 Author(s): Helen M Amos / AAAS Science and Technology Policy Fellow hosted by U.S. Environmental Protection Agency Chelcy Miniat / Jason A. Lynch / U.S. Environmental Protection Agency
National Water Center Innovators Program Summer Institute Report 2018 DOI: 10.4211/hs.c7ee150767114d3a927b67a94f0edc04 Technical Reports Author(s): Fernando Aristizabal / University of Florida Lauren Grimley / University of Iowa
Cyberinfrastructure and Web Apps for Managing and Disseminating the National Water Model DOI: 10.1111/1752-1688.12608 Author(s): Micheal A. Souffront Alcantara / Brigham Young University Christian Kesler / Brigham Young University E. James Nelson / Brigham Young University
Towards Real‐Time Continental Scale Streamflow Simulation in Continuous and Discrete Space DOI: 10.1111/1752-1688.12586 Author(s): Fernando R. Salas / NOAA Marcelo A. Somos-Valenzuela / University of La Frontera Aubrey Dugger / National Center for Atmospheric Research (NCAR)
Featured Collection Introduction: National Flood Interoperability Experiment II DOI: 10.1111/1752-1688.12614 Author(s): Jim Nelson / Brigham Young University
Streamflow Hydrology Estimate Using Machine Learning (SHEM) DOI: 10.1111/1752-1688.12555 Author(s): T.R. Petty / University of Alaska Fairbanks p. Dhingra / Microsoft
Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows During Flood Events DOI: 10.1111/1752-1688.12575 Author(s): Tingting Zhao / University of Illinois at Urbana-Champaign Barbara Minsker / Southern Methodist University Fernando Salas / UCAR, NOAA/NWS National Water Center
Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow Over Texas Using the WRF-Hydro Rapid Modeling Framework DOI: 10.1111/1752-1688.12585 Author(s): Peirong Lin / University of Texas at Austin Mohammad Adnan Rajib / Purdue University Zong-Liang Yang / University of Texas at Austin
Rapid Flood Damage Prediction and Forecasting Using Public Domain Cadastral and Address Point Data With Fuzzy Logic Algorithms DOI: 10.1111/1752-1688.12556 Author(s): J.L. Gutenson / US Army Engineer Research and Development Center A.N.S. Ernest / University of Texas Rio Grande Valley A.A. Oubeidillah / University of Alabama
Mapping Outlets of Iowa Flood Center and National Water Center River Networks for Hydrologic Model Comparison DOI: 10.1111/1752-1688.12554 Author(s): Felipe Quintero / Iowa Flood Center Witold F. Krajewski / Iowa Flood Center
