2018 - Fellow of American Geophysical Union (AGU)
The scientist’s investigation covers issues in Meteorology, Data assimilation, Climatology, Precipitation and Land information system. Her studies in Meteorology integrate themes in fields like Range, Cloud physics and Water cycle. Her Data assimilation research includes elements of Snow, Remote sensing and Water content.
Christa D. Peters-Lidard interconnects Climate model, Field and Cluster analysis in the investigation of issues within Climatology. Her work on PERSIANN, Quantitative precipitation estimation and North American Monsoon as part of general Precipitation study is frequently linked to Terrain, bridging the gap between disciplines. Her research integrates issues of Latent heat, Atmosphere, Energy balance and Heat flux in her study of Sensible heat.
Her primary scientific interests are in Meteorology, Climatology, Data assimilation, Precipitation and Remote sensing. Her Meteorology research includes themes of Land information system and Cloud physics. Her research in Climatology intersects with topics in Climate model, Downscaling, Hydrometeorology and Water cycle.
The concepts of her Data assimilation study are interwoven with issues in Streamflow, Evapotranspiration, Land management and Water content. Her work carried out in the field of Precipitation brings together such families of science as Range and Atmospheric sciences. Her Remote sensing research is multidisciplinary, incorporating perspectives in Hydrology and Brightness temperature.
Her scientific interests lie mostly in Climatology, Data assimilation, Precipitation, Remote sensing and Library science. Her work deals with themes such as Climate model, Radiative forcing and Natural hazard, which intersect with Climatology. Christa D. Peters-Lidard works mostly in the field of Data assimilation, limiting it down to topics relating to Evapotranspiration and, in certain cases, Infiltration and Streamflow.
Her Precipitation study is associated with Meteorology. Her Meteorology study frequently draws connections to adjacent fields such as Covariance. Her study looks at the intersection of Remote sensing and topics like Water content with Water cycle.
Her primary areas of study are Data assimilation, Climatology, Atmospheric sciences, Meteorology and Famine. Her Data assimilation study combines topics in areas such as Remote sensing, Snow, Evapotranspiration, Water content and Mathematical model. Her Evapotranspiration study incorporates themes from Land information system and Soil science.
Her studies deal with areas such as Climate model, Hydrometeorology and Hydrological modelling as well as Climatology. Her study on Sensible heat is often connected to Carbon cycle, Carbon flux and Leaf area index as part of broader study in Atmospheric sciences. In general Meteorology, her work in Precipitation and Air quality index is often linked to Magnitude linking many areas of study.
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.
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)
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)
The Effect of Soil Thermal Conductivity Parameterization on Surface Energy Fluxes and Temperatures
C. D. Peters-Lidard;E. Blackburn;X. Liang;E. F. Wood.
Journal of the Atmospheric Sciences (1998)
Estimating soil moisture at the watershed scale with satellite-based radar and land surface models
M. Susan Moran;Christa D Peters-Lidard;Joseph M Watts;Stephen McElroy.
Canadian Journal of Remote Sensing (2004)
Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications
Yudong Tian;Christa D. Peters-Lidard;Bhaskar J. Choudhury;Matthew Garcia.
Journal of Hydrometeorology (2007)
Component analysis of errors in satellite-based precipitation estimates
Yudong Tian;Yudong Tian;Christa D. Peters-Lidard;John B. Eylander;Robert J. Joyce.
Journal of Geophysical Research (2009)
A global map of uncertainties in satellite‐based precipitation measurements
Yudong Tian;Yudong Tian;Christa D. Peters‐Lidard.
Geophysical Research Letters (2010)
A soil‐vegetation‐atmosphere transfer scheme for modeling spatially variable water and energy balance processes
C. D. Peters-Lidard;C. D. Peters-Lidard;M. S. Zion;Eric F. Wood.
Journal of Geophysical Research (1997)
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)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Goddard Space Flight Center
National Aeronautics and Space Administration
Goddard Space Flight Center
University of Maryland, College Park
Goddard Space Flight Center
University of California, Santa Barbara
George Mason University
National Center for Atmospheric Research
Goddard Space Flight Center
Goddard Space Flight Center
University of Oxford
University of Wuppertal
Texas A&M University
Medical College of Wisconsin
City of Hope
University of California, Los Angeles
Memorial Sloan Kettering Cancer Center
University of Basel
Sorbonne University
University of Natural Resources and Life Sciences
Vrije Universiteit Brussel
Linnaeus University
McGill University
Xi'an Jiaotong University
Cancer Council Victoria
University of Pittsburgh