D-Index & Metrics Best Publications
Gabrielle De Lannoy

Gabrielle De Lannoy

D-Index & Metrics

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 38 Citations 5,141 87 World Ranking 3666 National Ranking 50

Overview

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.

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

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)

436 Citations

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)

253 Citations

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)

182 Citations

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)

181 Citations

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)

145 Citations

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)

144 Citations

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)

142 Citations

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.
(2014)

136 Citations

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)

129 Citations

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)

123 Citations

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