Her primary areas of study are Data assimilation, Water content, Ensemble Kalman filter, Atmospheric sciences and Radiometer. Her Data assimilation research is under the purview of Meteorology. Her Water content research includes themes of Soil science, Soil water, Precipitation, Brightness temperature and Hydrology.
Her work deals with themes such as Hydrology and Climatology, which intersect with Precipitation. Her research in Ensemble Kalman filter intersects with topics in State variable, Extreme value theory, Econometrics and Covariance. Her work carried out in the field of Snow brings together such families of science as Water balance, Remote sensing and Moderate-resolution imaging spectroradiometer.
Gabrielle De Lannoy focuses on Water content, Data assimilation, Remote sensing, Meteorology and Atmospheric sciences. Her studies deal with areas such as Soil science, Precipitation and Brightness temperature as well as Water content. The concepts of her Data assimilation study are interwoven with issues in Climatology, Snow, Ensemble Kalman filter, Water cycle and Kalman filter.
Her L band and Remote sensing study, which is part of a larger body of work in Remote sensing, is frequently linked to Atmospheric radiative transfer codes and Pixel, bridging the gap between disciplines. Her research on Meteorology also deals with topics like
Gabrielle De Lannoy spends much of her time researching Water content, Atmospheric sciences, Data assimilation, Hydrology and Brightness temperature. Her Water content study combines topics from a wide range of disciplines, such as Soil science, Surface runoff and Groundwater. Her studies in Atmospheric sciences integrate themes in fields like Evaporation, Water table, Precipitation and Current.
In her study, Scatterometer is strongly linked to Adaptive filter, which falls under the umbrella field of Data assimilation. Her Hydrology and Irrigation study in the realm of Hydrology connects with subjects such as River valley. Her work carried out in the field of Brightness temperature brings together such families of science as Bias correction and Remote sensing, Land surface temperature, L band.
Her primary scientific interests are in Water content, Data assimilation, Brightness temperature, Remote sensing and Atmospheric sciences. Specifically, her work in Water content is concerned with the study of Vegetation water content. While working on this project, Gabrielle De Lannoy studies both Data assimilation and Convergence.
Her work on Microwave remote sensing and Data continuity as part of general Remote sensing study is frequently connected to Filter and Improved performance, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Her Atmospheric sciences research integrates issues from Land surface temperature, Variational assimilation, Bias correction and Precipitation. Her Precipitation research is multidisciplinary, relying on both Salinity and Groundwater.
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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)
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)
Assessment of MERRA-2 Land Surface Hydrology Estimates
Rolf H. Reichle;Clara S. Draper;Clara S. Draper;Q. Liu;Manuela Girotto;Manuela Girotto.
Journal of Climate (2017)
Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter
Gabriëlle J. M. De Lannoy;Rolf H. Reichle;Rolf H. Reichle;Paul R. Houser;Valentijn R. N. Pauwels.
Water Resources Research (2007)
SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
Roberto Fernandez-Moran;Amen Al-Yaari;Arnaud Mialon;Ali Mahmoodi.
Remote Sensing (2017)
Assessment of the SMAP Level-4 surface and root-zone soil moisture product using in situ measurements
Rolf H. Reichle;Gabrielle J. M. De Lannoy;Qing Liu;Joseph V. Ardizzone.
Journal of Hydrometeorology (2017)
The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System
Qing Liu;Qing Liu;Rolf H. Reichle;Rajat Bindlish;Michael H. Cosh.
Journal of Hydrometeorology (2011)
Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3)
Gabriëlle J.M. De Lannoy;Niko E.C. Verhoest;Paul R. Houser;Timothy J. Gish.
Journal of Hydrology (2006)
SMAP Handbook–Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw from Space
Dara Entekhabi;Simon Yueh;Peggy E O’Neill;Kent H Kellogg.
Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation
Gabriëlle J. M. De Lannoy;Rolf H. Reichle.
Journal of Hydrometeorology (2016)
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