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
Viewed
Total article views: 1,493 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,094
292
107
1,493
124
86
103
HTML: 1,094
PDF: 292
XML: 107
Total: 1,493
Supplement: 124
BibTeX: 86
EndNote: 103
Views and downloads (calculated since 21 Mar 2024)
Cumulative views and downloads
(calculated since 21 Mar 2024)
Total article views: 1,041 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
786
178
77
1,041
75
68
79
HTML: 786
PDF: 178
XML: 77
Total: 1,041
Supplement: 75
BibTeX: 68
EndNote: 79
Views and downloads (calculated since 15 Jan 2025)
Cumulative views and downloads
(calculated since 15 Jan 2025)
Total article views: 452 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
308
114
30
452
49
18
24
HTML: 308
PDF: 114
XML: 30
Total: 452
Supplement: 49
BibTeX: 18
EndNote: 24
Views and downloads (calculated since 21 Mar 2024)
Cumulative views and downloads
(calculated since 21 Mar 2024)
Viewed (geographical distribution)
Total article views: 1,493 (including HTML, PDF, and XML)
Thereof 1,449 with geography defined
and 44 with unknown origin.
Total article views: 1,041 (including HTML, PDF, and XML)
Thereof 1,008 with geography defined
and 33 with unknown origin.
Total article views: 452 (including HTML, PDF, and XML)
Thereof 441 with geography defined
and 11 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...
