World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
11640
World Ranking
6943
National Ranking
174

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecosystem
  • Meteorology
  • Climate change

Jan Elbers spends much of his time researching Eddy covariance, Dry season, Rainforest, Remote sensing and Latent heat. His FluxNet study in the realm of Eddy covariance connects with subjects such as Quality management. His Dry season research is multidisciplinary, incorporating elements of Tower, Energy balance, Tropics, Seasonality and Amazon rainforest.

His studies deal with areas such as Wet season, Productivity, Biomass, Diurnal temperature variation and Carbon dioxide as well as Rainforest. His research investigates the connection with Remote sensing and areas like Sensible heat which intersect with concerns in Terrain. His Anemometer research integrates issues from Calibration and Water vapor.

His most cited work include:

  • Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology (1562 citations)
  • A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide (694 citations)
  • Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements (562 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Atmospheric sciences, Eddy covariance, Meteorology, Ecosystem and Sensible heat. As a part of the same scientific study, Jan Elbers usually deals with the Atmospheric sciences, concentrating on Growing season and frequently concerns with Carbon sequestration. He has included themes like Anemometer and Primary production in his Eddy covariance study.

His Planetary boundary layer, Urban heat island, Wind speed and Inversion study in the realm of Meteorology interacts with subjects such as Surface. His Ecosystem research incorporates themes from Productivity, Biomass and Taiga. His research integrates issues of Energy balance, Spatial variability, Latent heat, Available energy and Remote sensing in his study of Sensible heat.

He most often published in these fields:

  • Atmospheric sciences (31.82%)
  • Eddy covariance (28.41%)
  • Meteorology (19.32%)

What were the highlights of his more recent work (between 2013-2020)?

  • Atmospheric sciences (31.82%)
  • Meteorology (19.32%)
  • Eddy covariance (28.41%)

In recent papers he was focusing on the following fields of study:

Jan Elbers mostly deals with Atmospheric sciences, Meteorology, Eddy covariance, Energy balance and Ecosystem. In his study, Normalized Difference Vegetation Index, Remote sensing, FluxNet and Growing season is inextricably linked to Phenology, which falls within the broad field of Atmospheric sciences. His Meteorology study combines topics in areas such as Evapotranspiration and Water resources.

His Eddy covariance research incorporates elements of Atmospheric methane, Water vapor and City centre. His research on Energy balance also deals with topics like

  • Energy budget and related Forestry and Atmospheric research,
  • Leaf area index, which have a strong connection to Sensible heat, Temperate climate, Latent heat, Crop yield and Atmospheric model. The various areas that Jan Elbers examines in his Ecosystem study include Tributary and Taiga.

Between 2013 and 2020, his most popular works were:

  • Temporal and spatial variability of urban heat island and thermal comfort within the Rotterdam agglomeration (141 citations)
  • Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations (58 citations)
  • Evaluating the performance of commonly used gas analysers for methane eddy covariance flux measurements: the InGOS inter-comparison field experiment (36 citations)

In his most recent research, the most cited papers focused on:

  • Ecosystem
  • Meteorology
  • Statistics

His primary areas of investigation include Meteorology, Atmospheric sciences, Eddy covariance, Phenology and Thermal comfort. His study in the fields of Atmospheric methane and Water vapor under the domain of Meteorology overlaps with other disciplines such as Dilution and Flux. His Atmospheric sciences study frequently draws parallels with other fields, such as FluxNet.

His research in Eddy covariance intersects with topics in Sensible heat, Energy balance, Temperate climate, Leaf area index and Latent heat. His studies in Phenology integrate themes in fields like Correlation coefficient, Growing season, Crop yield, Remote sensing and Normalized Difference Vegetation Index. As a part of the same scientific family, Jan Elbers mostly works in the field of Thermal comfort, focusing on Daytime and, on occasion, Climate change and Spatial variability.

Best Publications

  • Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology

    Marc Aubinet;Achim Grelle;Andreas Ibrom;Üllar Rannik

  • A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide

    J.B. Moncrieff;J.M. Massheder;H. de Bruin;J.A. Elbers

  • Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements

    Eva Falge;Dennis Baldocchi;John Tenhunen;Marc Aubinet

  • Comparative measurements and seasonal variations in energy and carbon exchange over forest and pasture in South West Amazonia

    C. von Randow;A.O. Manzi;B. Kruijt;P.J. de Oliveira

  • Comparative measurements of carbon dioxide fluxes from two nearby towers in a central Amazonian rainforest: the Manaus LBA site

    A. C. Araújo;A. D. Nobre;B. Kruijt;J. A. Elbers

  • Temporal and spatial variability of urban heat island and thermal comfort within the Rotterdam agglomeration

    L.W.A. van Hove;C.M.J. Jacobs;B.G. Heusinkveld;J.A. Elbers

  • Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)

    Alexander Damm;Jan Elbers;André Erler;Beniamino Gioli

  • Management effects on net ecosystem carbon and GHG budgets at European crop sites

    Eric Ceschia;Pierre Béziat;Jean-François Dejoux;M. Aubinet

  • Impact of severe dry season on net ecosystem exchange in the Neotropical rainforest of French Guiana

    Damien Bonal;Alexandre Bosc;Stéphane Ponton;Jean-Yves Goret

  • Quality control of CarboEurope flux data – Part 2: Inter-comparison of eddy-covariance software

    Matthias Mauder;Matthias Mauder;Thomas Foken;Robert Clement;Jan A. Elbers

  • Quality control of CarboEurope flux data. Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems

    Mathias Göckede;Mathias Göckede;Thomas Foken;Marc Aubinet;Mika Aurela

  • Quality analysis applied on eddy covariance measurements at complex forest sites using footprint modelling

    Corinna Rebmann;Mathias Göckede;Thomas Foken;Marc Aubinet

  • Bridging the gap between atmospheric concentrations and local ecosystem measurements

    T. Lauvaux;B. Gioli;C. Sarrat;P.J. Rayner

  • Climate control of terrestrial carbon exchange across biomes and continents

    Chuixiang Yi;Daniel Ricciuto;Runze Li;John Wolbeck

  • The carbon uptake of a mid latitude pine forest growing on sandy soil

    A.J. Dolman;E.J. Moors;J.A. Elbers

  • Inverse carbon dioxide flux estimates for the Netherlands

    A. G. C. A. Meesters;L. F. Tolk;W. Peters;R. W. A. Hutjes

  • Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements

    Eva Falge;John Tenhunen;Dennis Baldocchi;Marc Aubinet

  • Global transpiration data from sap flow measurements: the SAPFLUXNET database

    Rafael Poyatos;Víctor Granda;Víctor Flo;Mark A. Adams;Mark A. Adams

  • Sonic anemometer (co)sine response and flux measurement: II. The effect of introducing an angle of attack dependent calibration

    M.K. van der Molen;J.H.C. Gash;J.A. Elbers

  • The robustness of eddy correlation fluxes for Amazon rain forest conditions

    B. Kruijt;J. A. Elbers;C. von Randow;A. C. Araújo

  • Analyzing the Ecosystem Carbon Dynamics of Four European Coniferous Forests Using a Biogeochemistry Model

    Galina Churkina;John Tenhunen;Peter Thornton;Eva M. Falge

Frequent Co-Authors

Eddy Moors
Eddy Moors Vrije Universiteit Amsterdam
Cor Jacobs
Cor Jacobs Wageningen University & Research
Bart Kruijt
Bart Kruijt Wageningen University & Research
Pavel Kabat
Pavel Kabat Wageningen University & Research
A. J. Dolman
A. J. Dolman Vrije Universiteit Amsterdam
John Moncrieff
John Moncrieff University of Edinburgh
Robert Clement
Robert Clement University of Edinburgh
Thomas Foken
Thomas Foken University of Bayreuth

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