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ARS Home » Plains Area » El Reno, Oklahoma » Grazinglands Research Laboratory » Forage and Livestock Production Research » Research » Publications at this Location » Publication #330597

Research Project: Integrated Forage Systems for Food and Energy Production in the Southern Great Plains

Location: Forage and Livestock Production Research

Title: Advances in remote sensing and modeling of terrestrial hydro-meteorological processes and extremes

Author
item Zhang, Ke - University Of Oklahoma
item Wang, Jingfeng - University Of Oklahoma
item Ahmed, Ifekhar - Georgia Institute Of Technology
item Gowda, Prasanna

Submitted to: Advances in Meteorology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/13/2016
Publication Date: 6/28/2016
Citation: Zhang, K., Wang, J., Ahmed, I., Gowda, P. 2016. Advances in remote sensing and modeling of terrestrial hydro-meteorological processes and extremes. Advances in Meteorology. 2016, Article ID 4378140. Available: http://dx/doi.org/10.1155/2016/4371840.

Interpretive Summary: Remote sensing of actual evapotranspiration (ET) has been a hot topic in the past two decades. Many ET retrieval algorithms have emerged and formed many different types of approaches, including the thermal remote sensing based surface energy balance approaches. Research papers presented in this special issue of Advances in Meteorology Journal covered a number of contributions in remote sensing and modeling of hydro-meteorological processes and extremes, including retrieval methods, validation of satellite retrieval results, hydrological modeling, application of parallel computing in model optimization, and analysis of spatiotemporal changes in hydrological regimes.

Technical Abstract: Remote sensing is an indispensable tool for monitoring and detecting the evolution of the Earth’s hydro-meteorological processes. Fast-growing remote sensing observations and technologies have been a primary impetus to advancing our knowledge of hydro-meteorological processes and their extremes over the last decades. Meanwhile, integrating the hydrological-meteorological processes and bridging traditional disciplines are emerging as the frontier of hydrology and meteorological studies. These progresses opened new opportunities to advance the studies of modeling and forecasting climate change related extremes for adaptation and mitigation of hydro-meteorological hazards. This special issue gathers a number of contributions in remote sensing and modeling of hydro-meteorological processes and extremes, including retrieval methods, validation of satellite retrieval results, hydrological modeling, application of parallel computing in model optimization, and analysis of spatiotemporal changes in hydrological regimes. The investigated hydrologic variables in these studies contain precipitation, evapotranspiration, stream flow, and water storage.