Repositorio
Institucional

Yang, Zong-Liang

Lin, Peirong#Rajib, Mohammad Adnan#Somos-Valenzuela, Marcelo#Merwade, Venkatesh#Maidment, David R.#Wang, Yan#Chen, Li

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF-Hydro-RAPID Modeling Framework

WILEY

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

en

This study assesses a large-scale hydrologic modeling framework (WRF-Hydro-RAPID) in terms of its high-resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km(2)). The reference observations used include eight-day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre-calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity-dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency similar to 0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large-scale hydrologic forecasts.

Artículo original

This work was funded by the National Natural Science Foundation of China grant 41375088, the NSF Coupled Natural and Human Systems Program award 1518541, the Cynthia and George Mitchell Family Foundation, the Texas Water Research Network, and Microsoft Research. The authors are grateful to the CUAHSI funding support for the Summer Institute (June 1 to July 18, 2015) held at the National Water Center, Alabama, U.S. We thank David Gochis (National Center for Atmospheric Research), Jim Nelson (Brigham Young University), and Fernando Salas (NOAA National Water Center) for providing project advice as NFIE advisors and course coordinators. David Arctur (University of Texas at Austin) is thanked for English editing. We would also like to thank the Editor-in-Chief Jim Wigington, Associate Editor David Tarboton (Utah State University), and three anonymous reviewers for their constructive comments.

Este trabajo fue financiado por la subvención 41375088 de la National Natural Science Foundation of China, la subvención 1518541 del NSF Coupled Natural and Human Systems Program, la Cynthia and George Mitchell Family Foundation, la Texas Water Research Network y Microsoft Research. Los autores agradecen el apoyo financiero de CUAHSI para el Instituto de Verano (del 1 de junio al 18 de julio de 2015) celebrado en el Centro Nacional del Agua, Alabama, EE. UU. Agradecemos a David Gochis (Centro Nacional para la Investigación Atmosférica), Jim Nelson (Universidad Brigham Young) y Fernando Salas (Centro Nacional del Agua de la NOAA) por brindar asesoramiento sobre el proyecto como asesores de NFIE y coordinadores del curso. Agradecemos a David Arctur (Universidad de Texas en Austin) por la edición en inglés. También nos gustaría agradecer al Editor en Jefe Jim Wigington, al Editor Asociado David Tarboton (Universidad Estatal de Utah) y a tres revisores anónimos por sus comentarios constructivos.

10.1111/1752-1688.12585

pdf

evapotranspiration# streamflow# surface runoff# base flow# MODIS# WRF-Hydro# Noah-MP# RAPID

http://dx.doi.org/10.1111/1752-1688.12585

Engineering, Environmental# Geosciences, Multidisciplinary# Water Resources

evapotranspiración# flujo de corriente# escorrentía superficial# flujo base# MODIS# WRF-Hidro# Noé-MP# RÁPIDO

Oceanografía, Hidrología y Recursos del Agua

Meteorología y Ciencias Atmosféricas

Geociencias

WOS:000423819300005

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF-Hydro-RAPID Modeling Framework

Artículo original

version publicada

WILEY

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Ingeniería Ambiental# Geociencias, Multidisciplinaria# Recursos hídricos

1093-474X

en

NNSFC 41375088#NSF 1518541#Cynthia and George Mitchell Family Foundation#Texas Water Research Network#Microsoft Research

NNSF 41375088

NSF 518541

Cynthia and George Mitchell Family Foundation

Texas Water Research Network

Microsoft Research

CUAHSI

Div Atmospheric & Geospace Sciences

NSF Directorate For Geosciences 1518541

This work was funded by the National Natural Science Foundation of China grant 41375088, the NSF Coupled Natural and Human Systems Program award 1518541, the Cynthia and George Mitchell Family Foundation, the Texas Water Research Network, and Microsoft Research. The authors are grateful to the CUAHSI funding support for the Summer Institute (June 1 to July 18, 2015) held at the National Water Center, Alabama, U.S. We thank David Gochis (National Center for Atmospheric Research), Jim Nelson (Brigham Young University), and Fernando Salas (NOAA National Water Center) for providing project advice as NFIE advisors and course coordinators. David Arctur (University of Texas at Austin) is thanked for English editing. We would also like to thank the Editor-in-Chief Jim Wigington, Associate Editor David Tarboton (Utah State University), and three anonymous reviewers for their constructive comments.

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hibrida#verde

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