His primary areas of study are Data assimilation, Land information system, Meteorology, Snow and Remote sensing. His studies deal with areas such as Anomaly, Atmospheric sciences and Water content as well as Data assimilation. His Atmospheric sciences research includes elements of Climatology and Water cycle.
His Water content research integrates issues from Estimation theory and Calibration. His work in the fields of Meteorology, such as Nowcasting, overlaps with other areas such as Set, Resolution and Scale. His Remote sensing research focuses on subjects like Moderate-resolution imaging spectroradiometer, which are linked to Satellite imagery, SNOTEL, Water balance and Snowpack.
Sujay V. Kumar mostly deals with Data assimilation, Meteorology, Land information system, Remote sensing and Climatology. His Data assimilation research includes themes of Evapotranspiration, Atmospheric sciences and Water content. His work deals with themes such as Streamflow, Radiometer and Moderate-resolution imaging spectroradiometer, which intersect with Meteorology.
Sujay V. Kumar incorporates a variety of subjects into his writings, including Land information system, Interoperability and Weather forecasting. The study incorporates disciplines such as Weather and climate and Global Precipitation Measurement in addition to Remote sensing. His Climatology study combines topics in areas such as Drainage basin, Hydrology and Precipitation.
Sujay V. Kumar mainly investigates Data assimilation, Water content, Atmospheric sciences, Remote sensing and Snow. His Data assimilation study combines topics from a wide range of disciplines, such as Climatology, Downscaling, Irrigation and Groundwater. His Climatology research focuses on Drainage basin and how it connects with Precipitation.
His Water content research is multidisciplinary, incorporating perspectives in Scatterometer, Soil science, Anomaly and Evapotranspiration. When carried out as part of a general Remote sensing research project, his work on Remote sensing is frequently linked to work in Resolution, Product and High resolution, therefore connecting diverse disciplines of study. His Snow study is concerned with Meteorology in general.
His primary scientific interests are in Data assimilation, Water content, Atmospheric sciences, Snow and Remote sensing. His research integrates issues of Climatology, Predictability, Irrigation, Remote sensing and Groundwater in his study of Data assimilation. His research in the fields of Triple collocation overlaps with other disciplines such as Normalized standard deviation.
Snow is a subfield of Meteorology that he explores. The Radiometer research Sujay V. Kumar does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Earth surface, therefore creating a link between diverse domains of science. His work on Glacier and Glacier mass balance as part of general Physical geography study is frequently linked to Land information system, bridging the gap between disciplines.
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Land information system: An interoperable framework for high resolution land surface modeling
S. V. Kumar;C. D. Peters-Lidard;Y. Tian;P. R. Houser.
Environmental Modelling and Software (2006)
Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities
Yuqiong Liu;Yuqiong Liu;A. Weerts;M. Clark;H.-J Hendricks Franssen.
Hydrology and Earth System Sciences (2012)
Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado
Gabriëlle J. M. De Lannoy;Gabriëlle J. M. De Lannoy;Rolf H. Reichle;Kristi R. Arsenault;Paul R. Houser.
Water Resources Research (2012)
Development and evaluation of a cloud-gap-filled MODIS daily snow-cover product
Dorothy K. Hall;George A. Riggs;James L. Foster;Sujay V. Kumar.
Remote Sensing of Environment (2010)
High-performance Earth system modeling with NASA/GSFC’s Land Information System
Christa D. Peters-Lidard;Paul R. Houser;Yudong Tian;Sujay V. Kumar.
Innovations in Systems and Software Engineering (2007)
A land surface data assimilation framework using the land information system : Description and applications
Sujay V. Kumar;Sujay V. Kumar;Rolf H. Reichle;Rolf H. Reichle;Christa D. Peters-Lidard;Randal D. Koster.
Advances in Water Resources (2008)
Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations
Sujay V. Kumar;Rolf H. Reichle;Randal D. Koster;Wade T. Crow.
Journal of Hydrometeorology (2009)
A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time Scales
Joseph A. Santanello;Christa D. Peters-Lidard;Sujay V. Kumar;Charles Alonge.
Journal of Hydrometeorology (2009)
Diagnosing the Sensitivity of Local Land–Atmosphere Coupling via the Soil Moisture–Boundary Layer Interaction
Joseph A. Santanello;Christa D. Peters-Lidard;Sujay V. Kumar.
Journal of Hydrometeorology (2011)
A land data assimilation system for sub-Saharan Africa food and water security applications
Amy McNally;Amy McNally;Kristi Arsenault;Kristi Arsenault;Sujay Kumar;Shraddhanand Shukla.
Scientific Data (2017)
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