His scientific interests lie mostly in Water content, Meteorology, Remote sensing, Data assimilation and Climatology. His Water content research is multidisciplinary, relying on both Scatterometer, C band, Soil science and Annual cycle. His Scatterometer research incorporates themes from Hydrology, Atmospheric sciences and Moisture.
The Numerical weather prediction research Clément Albergel does as part of his general Meteorology study is frequently linked to other disciplines of science, such as Interpolation and Extended Kalman filter, therefore creating a link between diverse domains of science. His research investigates the link between Numerical weather prediction and topics such as Soil water that cross with problems in Flood forecasting, Earth observation and In situ. Clément Albergel has included themes like Hydrometeorology, Albedo, Snow, Snowpack and Climate model in his Climatology study.
Clément Albergel mainly focuses on Water content, Data assimilation, Remote sensing, Climatology and Leaf area index. The various areas that Clément Albergel examines in his Water content study include Soil science, Soil water, Meteorology and Atmospheric sciences. His study in the field of Numerical weather prediction is also linked to topics like Product and Data set.
His Data assimilation study incorporates themes from Snow and Evapotranspiration. The study incorporates disciplines such as Scatterometer, Earth observation and Brightness temperature in addition to Remote sensing. His Climatology research integrates issues from Atmospheric model, Hydrology, Precipitation and Water cycle.
His main research concerns Water content, Climatology, Remote sensing, Data assimilation and Soil water. His Water content research includes elements of Surface runoff, Atmospheric sciences, Flash flood and Soil horizon. His work on Numerical weather prediction as part of general Climatology research is frequently linked to Leaf area index, Scale and Elevation, thereby connecting diverse disciplines of science.
The Data assimilation study combines topics in areas such as Snow and Evapotranspiration. His Soil water study is related to the wider topic of Soil science. His Soil science study integrates concerns from other disciplines, such as Scatterometer and Change detection.
The scientist’s investigation covers issues in Water content, Leaf area index, Climatology, Remote sensing and Atmospheric model. Clément Albergel has researched Water content in several fields, including Soil science, Soil water and Change detection. Leaf area index is connected with Vegetation type, Atmospheric sciences, Evapotranspiration, Data assimilation and Soil horizon in his research.
His study in Brightness temperature extends to Climatology with its themes. Clément Albergel studies Remote sensing, namely Synthetic aperture radar. His Atmospheric model study frequently links to other fields, such as Weather and climate.
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.
ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions
Wouter Dorigo;Wolfgang Wagner;Clement Albergel;Franziska Albrecht.
Remote Sensing of Environment (2017)
ERA-Interim/Land: a global land surface reanalysis data set
G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta.
Hydrology and Earth System Sciences (2015)
Evaluation of the ESA CCI soil moisture product using ground-based observations
W.A. Dorigo;A. Gruber;R.A.M. De Jeu;W. Wagner.
Remote Sensing of Environment (2015)
Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
Clement Albergel;Patricia de Rosnay;Claire Gruhier;Joaquin Muñoz-Sabater.
Remote Sensing of Environment (2012)
From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations
Clement Albergel;Christoph Rudiger;Christoph Rudiger;Thierry Pellarin;Jean-Christophe Calvet.
Hydrology and Earth System Sciences (2008)
A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF
Patricia de Rosnay;Matthias Drusch;Drasko Vasiljevic;Gianpaolo Balsamo.
Quarterly Journal of the Royal Meteorological Society (2013)
An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France
Clement Albergel;Christoph Rudiger;Christoph Rudiger;Dominique Carrer;Jean-Christophe Calvet.
Hydrology and Earth System Sciences (2009)
Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates
A. Al-Yaari;A. Al-Yaari;J.-P. Wigneron;A. Ducharne;Y. Kerr.
Remote Sensing of Environment (2014)
Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing
C. Albergel;W. Dorigo;R. H. Reichle;G. Balsamo.
Journal of Hydrometeorology (2013)
ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?
Clement Albergel;Emanuel Dutra;Simon Munier;Jean Christophe Calvet.
Hydrology and Earth System Sciences (2018)
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