Justin Sheffield
University of Southampton
280 Papers
1.1K Citations
Justin Sheffield is an academic researcher from University of Southampton. The author has contributed to research in topics: Environmental science & Climate change. The author has an hindex of 75, co-authored 235 publications. Previous affiliations of Justin Sheffield include Newcastle University & University of Newcastle.
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Papers
Global warming and changes in drought
Kevin E. Trenberth,Aiguo Dai,Aiguo Dai,Gerard van der Schrier,Gerard van der Schrier,Philip Jones,Philip Jones,Jonathan Barichivich,Jonathan Barichivich,Keith R. Briffa,Justin Sheffield +10 more
TL;DR: In this article, a commonly used drought index and observational data are examined to identify the cause of these discrepancies, and the authors indicate that improvements in the quality and coverage of precipitation data and quantification of natural variability are necessary to provide a better understanding of how drought is changing.
Recent decline in the global land evapotranspiration trend due to limited moisture supply
Martin Jung,Markus Reichstein,Philippe Ciais,Sonia I. Seneviratne,Justin Sheffield,Michael L. Goulden,Gordon B. Bonan,Alessandro Cescatti,Jiquan Chen,Richard de Jeu,A. Johannes Dolman,Werner Eugster,Dieter Gerten,Damiano Gianelle,Nadine Gobron,Jens Heinke,John S. Kimball,Beverly E. Law,Leonardo Montagnani,Qiaozhen Mu,Brigitte Mueller,Keith W. Oleson,Dario Papale,Andrew D. Richardson,Olivier Roupsard,S. W. Running,Enrico Tomelleri,Nicolas Viovy,Ulrich Weber,Christopher B. Williams,Eric F. Wood,Sönke Zaehle,Ke Zhang +32 more
TL;DR: An estimate of global land evapotranspiration from 1982 to 2008 is provided using a global monitoring network, meteorological and remote-sensing observations, and a machine-learning algorithm, which suggests that increasing soil-moisture limitations on evapOTranspiration largely explain the recent decline of the global land-evapotranpiration trend.
Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling
TL;DR: In this article, the authors describe the creation of a global, 50-yr, 3-hourly, 1.0° dataset of meteorological forcings that can be used to drive models of land surface hydrology.
2K
Little change in global drought over the past 60 years
TL;DR: It is shown that the previously reported increase in global drought is overestimated because the PDSI uses a simplified model of potential evaporation that responds only to changes in temperature and thus responds incorrectly to global warming in recent decades.
1.9K
The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
Kenneth E. Mitchell,Dag Lohmann,Paul R. Houser,Eric F. Wood,John Schaake,Alan Robock,Brian Cosgrove,Justin Sheffield,Qingyun Duan,Lifeng Luo,Lifeng Luo,R. Wayne Higgins,Rachel T. Pinker,J. Dan Tarpley,Dennis P. Lettenmaier,Curtis H. Marshall,Curtis H. Marshall,Jared Entin,Ming Pan,Wei Shi,Victor Koren,Jesse Meng,Jesse Meng,Bruce H. Ramsay,Andrew A. Bailey +24 more
TL;DR: A real-time and retrospective North American Land Data Assimilation System (NLDAS) is presented in this article, which consists of four land models executing in parallel in uncoupled mode, common hourly surface forcing, and common streamflow routing: all using a 1/8° grid over the continental United States.