His primary scientific interests are in Climatology, Precipitation, Water cycle, Water content and Climate change. His studies in Climatology integrate themes in fields like Climate model, Global warming, Scale, Hydrology and Data assimilation. His Data assimilation research integrates issues from Snow, Streamflow and Forcing.
His Precipitation research incorporates elements of Tropical and subtropical dry broadleaf forests, Dry season, Tropical savanna climate and Tropical vegetation. The concepts of his Water content study are interwoven with issues in Infiltration and Trend surface analysis. His research in Climate change intersects with topics in Atmospheric dynamics, Teleconnection and Evapotranspiration.
His main research concerns Climatology, Precipitation, Evapotranspiration, Climate change and Meteorology. His Climatology research is multidisciplinary, relying on both Water cycle, Climate model, Streamflow, Water content and Data assimilation. His research integrates issues of Spatial variability and Mesonet in his study of Data assimilation.
He works mostly in the field of Precipitation, limiting it down to concerns involving Surface runoff and, occasionally, Hydrology. His Evapotranspiration study frequently links to other fields, such as Remote sensing. His study in the field of Global warming is also linked to topics like Context.
His primary areas of study are Climatology, Water content, Precipitation, Flood myth and Water resource management. Justin Sheffield has included themes like Climate change and Streamflow in his Climatology study. His study in Water content is interdisciplinary in nature, drawing from both Soil water, Atmospheric sciences and Data assimilation.
His work on Forcing as part of general Atmospheric sciences research is frequently linked to Surface energy, thereby connecting diverse disciplines of science. His Precipitation research is multidisciplinary, incorporating elements of Scale and Vegetation. His Flood myth study combines topics in areas such as Range, El Niño Southern Oscillation, Meteorology and Relation.
Justin Sheffield spends much of his time researching Climatology, Precipitation, Water content, Brightness temperature and Seesaw molecular geometry. His multidisciplinary approach integrates Climatology and High resolution in his work. Throughout his High resolution studies, he incorporates elements of other sciences such as Streamflow, Snow and Bias correction.
His Precipitation study integrates concerns from other disciplines, such as Calibration, Pearson product-moment correlation coefficient, Atmospheric sciences, Data assimilation and Irrigation scheduling. His work deals with themes such as Spatial heterogeneity, Remote sensing and Water resources, which intersect with Water content. While working in this field, Justin Sheffield studies both Brightness temperature and Watershed.
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Recent decline in the global land evapotranspiration trend due to limited moisture supply
Little change in global drought over the past 60 years
Justin Sheffield;Eric F. Wood;Michael L. Roderick.
Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling
Justin Sheffield;Gopi Goteti;Eric F. Wood.
Journal of Climate (2006)
Global warming and changes in drought
Kevin E. Trenberth;Aiguo Dai;Aiguo Dai;Gerard van der Schrier;Gerard van der Schrier;Philip D. Jones;Philip D. Jones.
Nature Climate Change (2014)
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.
Journal of Geophysical Research (2004)
Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations
Justin Sheffield;Eric F. Wood.
Climate Dynamics (2008)
Past and future changes in climate and hydrological indicators in the US Northeast
Climate Dynamics (2007)
Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products
Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield.
Journal of Geophysical Research (2012)
Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching
Haibin Li;Justin Sheffield;Eric F. Wood.
Journal of Geophysical Research (2010)
Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project
Brian A. Cosgrove;Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser.
Journal of Geophysical Research (2003)
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