Repositorio
Institucional

Somos-Valenzuela, Marcelo A.

Salas, Fernando R.#Dugger, Aubrey#Maidment, David R.#Gochis, David J.#David, Cedric H.#Yu, Wei#Ding, Deng#Clark, Edward P.#Noman, Nawajish

Towards Real-Time Continental Scale Streamflow Simulation in Continuous and Discrete Space

WILEY

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

en

The National Weather Service (NWS) forecasts floods at approximately 3,600 locations across the United States (U.S.). However, the river network, as defined by the 1:100,000 scale National Hydrography Dataset-Plus (NHDPlus) dataset, consists of 2.7 million river segments. Through the National Flood Interoperability Experiment, a continental scale streamflow simulation and forecast system was implemented and continuously operated through the summer of 2015. This system leveraged the WRF-Hydro framework, initialized on a 3-km grid, the Routing Application for the Parallel Computation of Discharge river routing model, operating on the NHDPlus, and real-time atmospheric forcing to continuously forecast streamflow. Although this system produced forecasts, this paper presents a study of the three-month nowcast to demonstrate the capacity to seamlessly predict reach scale streamflow at the continental scale. In addition, this paper evaluates the impact of reservoirs, through a case study in Texas. Validation of the uncalibrated model using observed hourly streamflow at 5,701 U.S. Geological Survey gages shows 26% demonstrate PBias-25%-, 11% demonstrate Nash-Sutcliffe Efficiency (NSE)0.25, and 6% demonstrate both PBias-25%- and NSE0.25. When evaluating the impact of reservoirs, the analysis shows when reservoirs are included, NSE0.25 for 56% of the gages downstream while NSE0.25 for 11% when they are not. The results presented here provide a benchmark for the evolving hydrology program within the NWS and supports their efforts to develop a reach scale flood forecasting system for the country.

Artículo original

This study was supported by the National Science Foundation through the National Weather Service and Consortium of Universities for the Advancement of Hydrologic Science, Inc. C. H. David is supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The authors sincerely thank the National Center for Atmospheric Research, the Texas Advanced Computing Center, ESRI, Microsoft Research and Kisters for supporting this project. The authors personally thank Chief Harry Evans of the Austin Fire Department for providing inspiration for this work.

Este estudio fue financiado por la Fundación Nacional de Ciencias a través del Servicio Meteorológico Nacional y el Consorcio de Universidades para el Avance de la Ciencia Hidrológica, Inc. C. H. David cuenta con el apoyo del Laboratorio de Propulsión a Chorro del Instituto Tecnológico de California, en virtud de un contrato con la Administración Nacional de Aeronáutica y del Espacio (NASA). Los autores agradecen sinceramente al Centro Nacional de Investigación Atmosférica, al Centro de Computación Avanzada de Texas, a ESRI, a Microsoft Research y a Kisters por su apoyo a este proyecto. Los autores agradecen personalmente al Jefe Harry Evans del Departamento de Bomberos de Austin por inspirar este trabajo.

10.1111/1752-1688.12586

pdf

continental scale river dynamics# streamflow prediction# surface water hydrology# flood forecasting

http://dx.doi.org/10.1111/1752-1688.12586

Engineering, Environmental# Geosciences, Multidisciplinary# Water Resources

dinámica fluvial a escala continental# predicción del caudal de agua# hidrología de aguas superficiales# pronóstico de inundaciones

Oceanografía, Hidrología y Recursos del Agua

Meteorología y Ciencias Atmosféricas

Ciencias de la Computación

WOS:000423819300003

Towards Real-Time Continental Scale Streamflow Simulation in Continuous and Discrete Space

Artículo original

version publicada

WILEY

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Ingeniería Ambiental# Geociencias, Multidisciplinaria# Recursos hídricos

1093-474X

en

NSF#CIT#NASA#NSF National Center for Atmospheric Research#Texas Advanced Computing Center#ESRI#Microsoft Research

National Science Foundation through the National Weather Service and Consortium of Universities for the Advancement of Hydrologic Science, Inc.

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

National Center for Atmospheric Research

Texas Advanced Computing Center

ESRI

Microsoft Research

Kisters

This study was supported by the National Science Foundation through the National Weather Service and Consortium of Universities for the Advancement of Hydrologic Science, Inc. C. H. David is supported by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The authors sincerely thank the National Center for Atmospheric Research, the Texas Advanced Computing Center, ESRI, Microsoft Research and Kisters for supporting this project. The authors personally thank Chief Harry Evans of the Austin Fire Department for providing inspiration for this work.

pdf

hibrida#verde

metadata

metadata