Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace (IPSL), CEA–CNRS–Université Paris-Saclay, Orme Des Merisiers, 91190 Gif-Sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace (IPSL), CEA–CNRS–Université Paris-Saclay, Orme Des Merisiers, 91190 Gif-Sur-Yvette, France
Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
Philippe Peylin
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace (IPSL), CEA–CNRS–Université Paris-Saclay, Orme Des Merisiers, 91190 Gif-Sur-Yvette, France
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Total article views: 1,180 (including HTML, PDF, and XML)
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1,180
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EndNote: 90
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Total article views: 2,020 (including HTML, PDF, and XML)
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1,387
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2,020
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HTML: 1,387
PDF: 528
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Total: 2,020
Supplement: 247
BibTeX: 111
EndNote: 212
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,200 (including HTML, PDF, and XML)
Thereof 3,161 with geography defined
and 39 with unknown origin.
Total article views: 1,180 (including HTML, PDF, and XML)
Thereof 1,148 with geography defined
and 32 with unknown origin.
Total article views: 2,020 (including HTML, PDF, and XML)
Thereof 2,013 with geography defined
and 7 with unknown origin.
We assimilate the recent ESA-CCI land surface temperature (LST) product to optimize parameters of a land surface model (ORCHIDEE). We test different assimilation strategies to evaluate the best strategy over various in situ stations across Europe. We also provide advice on how to assimilate this LST product to better simulate LST and surface energy fluxes. Finally, we demonstrate the effectiveness of this optimization, which is essential to better simulate future projections.
We assimilate the recent ESA-CCI land surface temperature (LST) product to optimize parameters...
