D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 55 Citations 20,272 156 World Ranking 1523 National Ranking 714

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Ecology
  • Meteorology

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.

His most cited work include:

  • The Global Land Data Assimilation System (2484 citations)
  • Correcting eddy-covariance flux underestimates over a grassland (1285 citations)
  • The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system (916 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Data assimilation (33.54%)
  • Water content (30.70%)
  • Meteorology (26.27%)

What were the highlights of his more recent work (between 2014-2021)?

  • Climatology (18.67%)
  • Hydrology (6.33%)
  • Atmospheric sciences (17.72%)

In recent papers he was focusing on the following fields of study:

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.

Between 2014 and 2021, his most popular works were:

  • Hyper-resolution global hydrological modelling: what is next? (188 citations)
  • The Observed State of the Water Cycle in the Early Twenty-First Century (115 citations)
  • The Observed State of the Energy Budget in the Early Twenty-First Century (104 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Ecology
  • Meteorology

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Global Land Data Assimilation System

Mathew Rodell;Paul Houser;U Jambor;J GottschalcK.
Bulletin of the American Meteorological Society (2004)

3303 Citations

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)

1773 Citations

Technical Description of the Community Land Model (CLM)

Keith Oleson;Yongjiu Dai;B. Bonan;Mike Bosilovichm.
(2004)

1337 Citations

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)

1239 Citations

The Common Land Model

Yongjiu Dai;Xubin Zeng;Robert E. Dickinson;Ian Baker.
Bulletin of the American Meteorological Society (2003)

1221 Citations

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)

914 Citations

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)

607 Citations

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)

601 Citations

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)

582 Citations

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)

545 Citations

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