His primary areas of study are Data assimilation, Meteorology, Water content, Remote sensing and Climatology. Paul R. Houser combines subjects such as Snow, Ensemble Kalman filter and Hydrological modelling with his study of Data assimilation. Paul R. Houser has included themes like Surface runoff, Evapotranspiration and Forcing in his Meteorology study.
His Water content research integrates issues from Standard deviation, Sampling, Transect, Skewness and Spatial distribution. His Remote sensing research incorporates elements of Assimilation and Satellite gravimetry. His work on Mesonet as part of his general Climatology study is frequently connected to Scale, thereby bridging the divide between different branches of science.
Paul R. Houser spends much of his time researching Data assimilation, Water content, Meteorology, Remote sensing and Climatology. In his work, Water balance is strongly intertwined with Atmospheric sciences, which is a subfield of Data assimilation. His Water content research is multidisciplinary, incorporating elements of Assimilation, Soil science, Soil water and Surface runoff.
His research in Meteorology intersects with topics in Climate model, Evapotranspiration and Surface water. His Remote sensing study frequently links to adjacent areas such as Vegetation. His research investigates the connection between Climatology and topics such as Water cycle that intersect with issues in Earth system science.
Climatology, Hydrology, Atmospheric sciences, Remote sensing and Precipitation are his primary areas of study. His study in Climatology is interdisciplinary in nature, drawing from both High mountain and Water cycle. His research in Hydrology intersects with topics in Meteorology, Resolution, Hydropower and Water resource management.
The concepts of his Atmospheric sciences study are interwoven with issues in Evapotranspiration, Data assimilation, Seasonality and Water content. The various areas that he examines in his Data assimilation study include Water resources, Ensemble Kalman filter and Spatial variability. His Remote sensing study integrates concerns from other disciplines, such as Snow and Sky.
Paul R. Houser mainly investigates Atmospheric sciences, Climatology, Meteorology, Surface runoff and Air quality index. His Atmospheric sciences research includes themes of Spatial ecology and Precipitation. His Climatology research incorporates elements of Energy budget and Water cycle.
His Meteorology study combines topics in areas such as Flooding, Terrain, Resolution, Hydrological modelling and Hydrology. His biological study spans a wide range of topics, including Evapotranspiration, Correlation coefficient and Water content. Paul R. Houser conducts interdisciplinary study in the fields of FluxNet and Data assimilation through his works.
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The Global Land Data Assimilation System
Mathew Rodell;Paul Houser;U Jambor;J GottschalcK.
Bulletin of the American Meteorological Society (2004)
Correcting eddy-covariance flux underestimates over a grassland
Tracy E Twine;W. P. Kustas;J. M. Norman;D. R. Cook.
Agricultural and Forest Meteorology (2000)
Technical Description of the Community Land Model (CLM)
Keith Oleson;Yongjiu Dai;B. Bonan;Mike Bosilovichm.
(2004)
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)
The Common Land Model
Yongjiu Dai;Xubin Zeng;Robert E. Dickinson;Ian Baker.
Bulletin of the American Meteorological Society (2003)
Dual state-parameter estimation of hydrological models using ensemble Kalman filter
Hamid Moradkhani;Soroosh Sorooshian;Hoshin Vijai Gupta;Paul R. Houser.
Advances in Water Resources (2005)
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)
Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water
Eric F. Wood;Joshua K. Roundy;Tara J. Troy;L. P. H. van Beek.
Water Resources Research (2011)
Integration of soil moisture remote sensing and hydrologic modeling using data assimilation
Paul R. Houser;Paul R. Houser;W. James Shuttleworth;James S. Famiglietti;Hoshin V. Gupta.
Water Resources Research (1998)
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)
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