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Barton A. Forman
Researcher at University of Maryland, College Park
Publications - 60
Citations - 1381
Barton A. Forman is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Snow & Data assimilation. The author has an hindex of 16, co-authored 51 publications receiving 1090 citations. Previous affiliations of Barton A. Forman include Goddard Space Flight Center & Oak Ridge Associated Universities.
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Journal ArticleDOI
Assessment and Enhancement of MERRA Land Surface Hydrology Estimates
Rolf H. Reichle,Randal D. Koster,Gabrielle De Lannoy,Barton A. Forman,Qing Liu,Sarith Mahanama,A. Toure +6 more
TL;DR: In this paper, the authors introduced a supplemental and improved set of land surface hydrological fields (MERRA-Land) generated by rerunning a revised version of the land component of the MERRA system.
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Assimilation of Terrestrial Water Storage from GRACE in a Snow-Dominated Basin
TL;DR: In this paper, terrestrial water storage information derived from Gravity Recovery and Climate Experiment (GRACE) measurements is assimilated into a land surface model over the Mackenzie River basin located in northwest Canada.
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Vegetation controls on soil moisture distribution in the Valles Caldera, New Mexico, during the North American monsoon
Enrique R. Vivoni,Alex Rinehart,Luis A. Méndez-Barroso,C. A. Aragon,Gautam Bisht,M. Bayani Cardenas,M. Bayani Cardenas,Emily Engle,Barton A. Forman,Marty D. Frisbee,H. A. Gutierrez-Jurado,Song-ho Hong,Taufique H. Mahmood,Kinwai Tai,Robert L. Wyckoff +14 more
TL;DR: In this article, the authors quantify the vegetation control on surface soil moisture by sampling a range of different ecosystems present in the Valles Caldera, New Mexico, during a 2-week field campaign conducted in late July to early August 2005 during the North American monsoon.
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Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS
Rolf H. Reichle,Gabrielle De Lannoy,Gabrielle De Lannoy,Barton A. Forman,Clara S. Draper,Clara S. Draper,Qing Liu +6 more
TL;DR: In this article, a land data assimilation system (LDAS) can merge satellite observations (or retrievals) of land surface hydrological conditions, including soil moisture, snow, and terrestrial water storage (TWS), into a numerical model of the land surface processes.
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Vulnerability of US thermoelectric power generation to climate change when incorporating state-level environmental regulations
Lu Liu,Lu Liu,Mohamad Hejazi,Mohamad Hejazi,Mohamad Hejazi,Hongyi Li,Hongyi Li,Barton A. Forman,Xiao Zhang +8 more
TL;DR: In this article, the authors explore the vulnerability of thermoelectric power generation in the United States to climate change by coupling an Earth system model with a thermal power generation model, including state-level representation of environmental regulations on thermal effluents.