What is she best known for?
The fields of study she is best known for:
- Statistics
- Meteorology
- Hydrology
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.
Her most cited work include:
- Assessment and Enhancement of MERRA Land Surface Hydrology Estimates (344 citations)
- Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado (162 citations)
- Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado (162 citations)
What are the main themes of her work throughout her whole career to date?
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
- Radiometer together with Soil water,
- Anomaly and related Forcing.
Her research in Atmospheric sciences intersects with topics in Water balance and Water table.
She most often published in these fields:
- Water content (54.42%)
- Data assimilation (48.98%)
- Remote sensing (31.29%)
What were the highlights of her more recent work (between 2018-2021)?
- Water content (54.42%)
- Atmospheric sciences (26.53%)
- Data assimilation (48.98%)
In recent papers she was focusing on the following fields of study:
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.
Between 2018 and 2021, her most popular works were:
- Snow depth variability in the Northern Hemisphere mountains observed from space. (39 citations)
- Version 4 of the SMAP Level-4 Soil Moisture algorithm and data product (25 citations)
- Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation (15 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Meteorology
- Hydrology
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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