Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations
Toby R. Marthews,Simon J. Dadson,Douglas B. Clark,Eleanor M. Blyth,Garry D. Hayman,Dai Yamazaki,Olivia R. E. Becher,Alberto Martínez-de la Torre,Catherine Prigent,and Carlos Jiménez
UK Centre for Ecology and Hydrology (UKCEH), Maclean Building,
Wallingford OX10 8BB, UK
Meteorological Surveillance and Forecasting Group, DT Catalonia,
Agencia Estatal de Meteorología (AEMET), Barcelona, Spain
Catherine Prigent
CNRS, Laboratoire d'Etude du Rayonnement et de la Matière en
Astrophysique et Atmosphères (LERMA), Observatoire de Paris, 61 avenue de l'Observatoire, 75014 Paris, France
Carlos Jiménez
Estellus, 93 Boulevard de Sébastopol, 75002 Paris, France
Viewed
Total article views: 2,692 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,847
794
51
2,692
169
35
44
HTML: 1,847
PDF: 794
XML: 51
Total: 2,692
Supplement: 169
BibTeX: 35
EndNote: 44
Views and downloads (calculated since 23 Apr 2021)
Cumulative views and downloads
(calculated since 23 Apr 2021)
Total article views: 1,460 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,112
313
35
1,460
70
24
34
HTML: 1,112
PDF: 313
XML: 35
Total: 1,460
Supplement: 70
BibTeX: 24
EndNote: 34
Views and downloads (calculated since 21 Jun 2022)
Cumulative views and downloads
(calculated since 21 Jun 2022)
Total article views: 1,232 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
735
481
16
1,232
99
11
10
HTML: 735
PDF: 481
XML: 16
Total: 1,232
Supplement: 99
BibTeX: 11
EndNote: 10
Views and downloads (calculated since 23 Apr 2021)
Cumulative views and downloads
(calculated since 23 Apr 2021)
Viewed (geographical distribution)
Total article views: 2,692 (including HTML, PDF, and XML)
Thereof 2,524 with geography defined
and 168 with unknown origin.
Total article views: 1,460 (including HTML, PDF, and XML)
Thereof 1,357 with geography defined
and 103 with unknown origin.
Total article views: 1,232 (including HTML, PDF, and XML)
Thereof 1,167 with geography defined
and 65 with unknown origin.
Reliable data on global inundated areas remain uncertain. By matching a leading global data product on inundation extents (GIEMS) against predictions from a global hydrodynamic model (CaMa-Flood), we found small but consistent and non-random biases in well-known tropical wetlands (Sudd, Pantanal, Amazon and Congo). These result from known limitations in the data and the models used, which shows us how to improve our ability to make critical predictions of inundation events in the future.
Reliable data on global inundated areas remain uncertain. By matching a leading global data...
