The scientist’s investigation covers issues in Data assimilation, Meteorology, Water content, Climatology and Remote sensing. Rolf H. Reichle interconnects Radiometer, Drainage basin, Scanning multichannel microwave radiometer, Snow and Anomaly in the investigation of issues within Data assimilation. In his articles, Rolf H. Reichle combines various disciplines, including Meteorology and Context.
His work deals with themes such as Errors-in-variables models, Downscaling and Ensemble Kalman filter, which intersect with Water content. In the field of Climatology, his study on Forcing overlaps with subjects such as Retrospective analysis. The various areas that he examines in his Remote sensing study include Mean squared error, Mathematical model, Relation and Standard deviation.
His primary scientific interests are in Water content, Data assimilation, Remote sensing, Atmospheric sciences and Meteorology. His Water content study integrates concerns from other disciplines, such as Soil science and Brightness temperature. His Data assimilation study also includes
He has researched Remote sensing in several fields, including Scatterometer and Atmospheric radiative transfer codes. His research in Atmospheric sciences intersects with topics in Soil water, Carbon cycle and Precipitation. Rolf H. Reichle has included themes like Anomaly, Climate model, Data system and Water cycle in his Meteorology study.
His primary areas of study are Water content, Atmospheric sciences, Data assimilation, Remote sensing and Hydrology. His Water content research integrates issues from Soil science, Soil water, Streamflow and Brightness temperature. His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Radiometer, Carbon cycle, Precipitation and Evapotranspiration.
His Data assimilation research is multidisciplinary, relying on both Drainage basin, Climatology and Snow. His Snow research incorporates themes from Water cycle and Spatial variability. He usually deals with Remote sensing and limits it to topics linked to Earth observation and Hydrosphere and Anthroposphere.
His primary areas of investigation include Water content, Remote sensing, Atmospheric sciences, Data assimilation and Surface runoff. His Water content study combines topics in areas such as Soil science, Soil water, Surface water, Precipitation and Streamflow. The concepts of his Remote sensing study are interwoven with issues in In situ, Earth observation and Downscaling.
He performs multidisciplinary studies into Data assimilation and Assimilation in his work. His Surface runoff study combines topics from a wide range of disciplines, such as Snow, Eddy covariance and Groundwater. Rolf H. Reichle combines subjects such as Sensible heat and Water cycle with his study of Climatology.
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MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
Michele M. Rienecker;Max J. Suarez;Ronald Gelaro;Ricardo Todling.
Journal of Climate (2011)
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).
Ronald Gelaro;Will McCarty;Max J. Suárez;Max J. Suárez;Ricardo Todling.
Journal of Climate (2017)
The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi;Eni G Njoku;Peggy E O'Neill;Kent H Kellogg.
Proceedings of the IEEE (2010)
Hydrologic Data Assimilation with the Ensemble Kalman Filter
Rolf H. Reichle;Dennis B. McLaughlin;Dara Entekhabi.
Monthly Weather Review (2002)
Bias reduction in short records of satellite soil moisture
Rolf H. Reichle;Rolf H. Reichle;Randal D. Koster.
Geophysical Research Letters (2004)
Data assimilation methods in the Earth sciences
Rolf H. Reichle;Rolf H. Reichle.
Advances in Water Resources (2008)
Assessment and Enhancement of MERRA Land Surface Hydrology Estimates
Rolf H. Reichle;Randal D. Koster;Gabriëlle J. M. De Lannoy;Barton A. Forman.
Journal of Climate (2011)
Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR‐E) and the Scanning Multichannel Microwave Radiometer (SMMR)
Rolf H. Reichle;Rolf H. Reichle;Randal D. Koster;Ping Liu;Ping Liu;Sarith P. P. Mahanama;Sarith P. P. Mahanama.
Journal of Geophysical Research (2007)
Extended versus Ensemble Kalman Filtering for Land Data Assimilation
Rolf H. Reichle;Jeffrey P. Walker;Randal D. Koster;Paul R. Houser.
Journal of Hydrometeorology (2002)
Assimilation of GRACE Terrestrial Water Storage Data into a Land Surface Model: Results for the Mississippi River Basin
Benjamin F. Zaitchik;Matthew Rodell;Rolf H. Reichle.
Journal of Hydrometeorology (2008)
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