Next Article in Journal
Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China
Next Article in Special Issue
Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038
Previous Article in Journal
The 2014 Effusive Eruption at Stromboli: New Insights from In Situ and Remote-Sensing Measurements
Previous Article in Special Issue
Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation
Article Menu

Article Menu

Printed Edition

A printed edition of this Special Issue is available at MDPI Books....
Correction published on 18 April 2019, see Remote Sens. 2019, 11(8), 941.

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

European Centre for Medium-range Weather Forecasts (ECMWF), Reading RG2 9AX, UK
Météo-France, Centre National de Recherches Météorologique, 31000 Toulouse, France
Centre for Ecology & Hydrology, Wallingford OX10 8BB, UK
Scuola Superiore Sant’Anna, 56127 Pisa, Italy
Laboratoire des Sciences du Climat et de l’Environnement, Institut Pierre-Simon-Laplace, Commissariat à l’énergie atomique et aux énergies alternatives, LSCE/IPSL/CEA, 91190 Gif sur Yvette, France
Meteorology Depart., University of Reading, Reading RG6 7BE, UK
National Oceanic and Atmospheric Administration, Pacific Marine Environmental Laboratory, Seattle, WA 98115, USA
Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA 22030, USA
European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), 2201AZ Noordwijk, The Netherlands
Instituto Dom Luiz, University of Lisbon, 1749-016 Lisbon, Portugal
National Center for Atmospheric Research, Boulder, CO 80305, USA
Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA
UK MetOffice, Exeter EX1 3PB, UK
Centre National d’Etudes Spatiales, CESBIO, 31401 Toulouse, France
National Aeronautics and Space Administration (NASA), Goddard Space Flight Center (GSFC), Greenbelt, MD 20771, USA
Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
Naval Research Laboratory (NRL), Monterey, CA 93943, USA
Eidgenössische Technische Hochschule (ETH), 8092 Zürich, Switzerland
Instituto Português do Mar e da Amosfera (IPMA), 1749-077 Lisbon, Portugal
Department of Environmental Sciences, Wageningen University and Research, 6708 PB Wageningen, The Netherlands
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ 85721, USA
Author to whom correspondence should be addressed.
Current address: European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading RG2 9AX, UK.
Remote Sens. 2018, 10(12), 2038;
Received: 15 October 2018 / Revised: 1 December 2018 / Accepted: 5 December 2018 / Published: 14 December 2018
In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling. This involves verification and optimization methods that can handle both random and systematic errors and result in effective model improvement for both surface monitoring and prediction applications. The reasons for diverse remote sensing data and products include (i) their complementary areal and temporal coverage, (ii) their diverse and covariant information content, and (iii) their ability to complement in situ observations, which are often sparse and only locally representative. To improve our understanding of the complex behavior of the Earth system at the surface and sub-surface, we need large volumes of data from high-resolution modelling and remote sensing, since the Earth surface exhibits a high degree of heterogeneity and discontinuities in space and time. The spatial and temporal variability of the biosphere, hydrosphere, cryosphere and anthroposphere calls for an increased use of Earth observation (EO) data attaining volumes previously considered prohibitive. We review data availability and discuss recent examples where satellite remote sensing is used to infer observable surface quantities directly or indirectly, with particular emphasis on key parameters necessary for weather and climate prediction. Coordinated high-resolution remote-sensing and modelling/assimilation capabilities for the Earth surface are required to support an international application-focused effort. View Full-Text
Keywords: earth-observations; earth system modelling; direct and inverse methods earth-observations; earth system modelling; direct and inverse methods
Show Figures

Figure 1

MDPI and ACS Style

Balsamo, G.; Agusti-Panareda, A.; Albergel, C.; Arduini, G.; Beljaars, A.; Bidlot, J.; Blyth, E.; Bousserez, N.; Boussetta, S.; Brown, A.; Buizza, R.; Buontempo, C.; Chevallier, F.; Choulga, M.; Cloke, H.; Cronin, M.F.; Dahoui, M.; De Rosnay, P.; Dirmeyer, P.A.; Drusch, M.; Dutra, E.; Ek, M.B.; Gentine, P.; Hewitt, H.; Keeley, S.P.E.; Kerr, Y.; Kumar, S.; Lupu, C.; Mahfouf, J.-F.; McNorton, J.; Mecklenburg, S.; Mogensen, K.; Muñoz-Sabater, J.; Orth, R.; Rabier, F.; Reichle, R.; Ruston, B.; Pappenberger, F.; Sandu, I.; Seneviratne, S.I.; Tietsche, S.; Trigo, I.F.; Uijlenhoet, R.; Wedi, N.; Woolway, R.I.; Zeng, X. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sens. 2018, 10, 2038.

AMA Style

Balsamo G, Agusti-Panareda A, Albergel C, Arduini G, Beljaars A, Bidlot J, Blyth E, Bousserez N, Boussetta S, Brown A, Buizza R, Buontempo C, Chevallier F, Choulga M, Cloke H, Cronin MF, Dahoui M, De Rosnay P, Dirmeyer PA, Drusch M, Dutra E, Ek MB, Gentine P, Hewitt H, Keeley SPE, Kerr Y, Kumar S, Lupu C, Mahfouf J-F, McNorton J, Mecklenburg S, Mogensen K, Muñoz-Sabater J, Orth R, Rabier F, Reichle R, Ruston B, Pappenberger F, Sandu I, Seneviratne SI, Tietsche S, Trigo IF, Uijlenhoet R, Wedi N, Woolway RI, Zeng X. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing. 2018; 10(12):2038.

Chicago/Turabian Style

Balsamo, Gianpaolo, Anna Agusti-Panareda, Clement Albergel, Gabriele Arduini, Anton Beljaars, Jean Bidlot, Eleanor Blyth, Nicolas Bousserez, Souhail Boussetta, Andy Brown, Roberto Buizza, Carlo Buontempo, Frédéric Chevallier, Margarita Choulga, Hannah Cloke, Meghan F. Cronin, Mohamed Dahoui, Patricia De Rosnay, Paul A. Dirmeyer, Matthias Drusch, Emanuel Dutra, Michael B. Ek, Pierre Gentine, Helene Hewitt, Sarah P.E. Keeley, Yann Kerr, Sujay Kumar, Cristina Lupu, Jean-François Mahfouf, Joe McNorton, Susanne Mecklenburg, Kristian Mogensen, Joaquín Muñoz-Sabater, Rene Orth, Florence Rabier, Rolf Reichle, Ben Ruston, Florian Pappenberger, Irina Sandu, Sonia I. Seneviratne, Steffen Tietsche, Isabel F. Trigo, Remko Uijlenhoet, Nils Wedi, R. I. Woolway, and Xubin Zeng. 2018. "Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review" Remote Sensing 10, no. 12: 2038.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop