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Journal articles
Water Balance in the Amazon Basin from a Land Surface Model Ensemble
Augusto C. V. Getirana
Emanuel Dutra
1
Matthieu Guimberteau
2
Jonghun Kam
Hong-Yi Li
3
Bertrand Decharme
4
Zhengqiu Zhang
Agnès Ducharne
2
Aaron Boone
4
Gianpaolo Balsamo
1
Matthew Rodell
5
Ally M. Toure
Yongkang Xue
6
Christa D. Peters-Lidard
Sujay V. Kumar
Kristi Arsenault
Guillaume Drapeau
7
L Leung
Josyane Ronchail
8, 9
Justin Sheffield
8
PARVATI - Processus de la variabilité climatique tropicale et impacts
LOCEAN - Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques
Augusto C. V. Getirana
Author
Emanuel Dutra 1
Author
Matthieu Guimberteau 2
Author
Jonghun Kam
Author
Hong-Yi Li 3
Author
Bertrand Decharme 4
Author Employer institution : Météo France IdHAL : bertrand-decharme ResearcherId : http://www.researcherid.com/rid/Z-4563-2019 ORCID : https://orcid.org/0000-0002-8661-1464
Zhengqiu Zhang
Author
Agnès Ducharne 2
Author IdHAL : agnes-ducharne ORCID : https://orcid.org/0000-0002-6550-3413
Aaron Anthony Boone 4
Author IdHAL : aaron-boone ORCID : https://orcid.org/0000-0003-1901-7024
Gianpaolo Balsamo 1
Author
Matthew Rodell 5
Author
Ally M. Toure
Author
Guillaume Drapeau 7
Author
L Ruby Leung
Author
Josyane Ronchail 8, 9
Author Employer institution : Université Paris Diderot - Paris 7 IdHAL : ronchail
Justin Sheffield
Author
1
ECMWF - European Centre for Medium-Range Weather Forecasts (Shinfield Park, RG2 9AX Reading - United Kingdom)
2
METIS - Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (Sorbonne Université, Case courrier 105, 4 place Jussieu, 75005 Paris - France)
- EPHE - École pratique des hautes études (4-14 Rue Ferrus, 75014 Paris - France)
- PSL - Université Paris sciences et lettres (60 rue Mazarine 75006 Paris - France)
- SU - Sorbonne Université (21 rue de l’École de médecine - 75006 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7619 (France)
3
Niglas - Nanjing Institute of Geography and Limnology (Nanjing Institute of Geography & Limnology ,CAS Add:73 East Beijing Road, Nanjing 210008,P.R.China - China)
- CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)
4
CNRM - Centre national de recherches météorologiques (France)
- CNRS - Centre National de la Recherche Scientifique : UMR3589 (France)
- Météo France (France)
5
GSFC - NASA Goddard Space Flight Center (Greenbelt, MD 20771 - United States)
6
Department of Geography [Los Angeles] (1255 Bunche Hall, Los Angeles, CA 90095 - United States)
- UCLA - University of California [Los Angeles] ( Los Angeles, Californie 90095 - United States)
- University of California (United States)
7
PRODIG (UMR_8586 / UMR_D_215 / UM_115) - Pôle de recherche pour l'organisation et la diffusion de l'information géographique (PRODIG - 2 rue Valette - 75005 Paris - France)
- UP1 - Université Paris 1 Panthéon-Sorbonne (12 place du Panthéon - 75231 Paris Cedex 05 - France)
- IRD - Institut de Recherche pour le Développement : UMR_D_215 (Siège Le Sextant 44, bd de Dunkerque CS 90009 13572 Marseille cedex 02 - France)
- AgroParisTech (16 rue Claude Bernard F-75231 Paris Cedex 05 - France)
- UPD7 - Université Paris Diderot - Paris 7 : UMR_8586 (5 rue Thomas-Mann - 75205 Paris cedex 13 - France)
- SU - Sorbonne Université (21 rue de l’École de médecine - 75006 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : UMR_8586 (France)
8
PARVATI - Processus de la variabilité climatique tropicale et impacts (France)
- LOCEAN - Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (4 place Jussieu - case 100 - 75252 PARIS CEDEX 05 ; Institut de Recherche pour le Développement Centre de recherche d'Ile-de-France - 32, avenue Henri Varagnat - 93143 Bondy Cedex
- France)
- IRD - Institut de Recherche pour le Développement (Siège Le Sextant 44, bd de Dunkerque CS 90009 13572 Marseille cedex 02 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7159 (France)
- INSU - CNRS - Institut national des sciences de l'Univers (INSU-CNRS 3 rue Michel-Ange, 75794 Paris Cedex 16 - France)
- UPMC - Université Pierre et Marie Curie - Paris 6 : UM71 (4 place Jussieu - 75005 Paris - France)
- MNHN - Muséum national d'Histoire naturelle : USM402 (57, rue Cuvier - 75231 Paris Cedex 05 - France)
9
UPD7 - Université Paris Diderot - Paris 7 (5 rue Thomas-Mann - 75205 Paris cedex 13 - France)
Abstract : Despite recent advances in land surface modeling and remote sensing, estimates of the global water budget are still fairly uncertain. This study aims to evaluate the water budget of the Amazon basin based on several state-of-the-art land surface model (LSM) outputs. Water budget variables (terrestrial water storage TWS, evapotrans-piration ET, surface runoff R, and base flow B) are evaluated at the basin scale using both remote sensing and in situ data. Meteorological forcings at a 3-hourly time step and 18 spatial resolution were used to run 14 LSMs. Precipitation datasets that have been rescaled to match monthly Global Precipitation Climatology Project (GPCP) and Global Precipitation Climatology Centre (GPCC) datasets and the daily Hydrologie du Bassin de l'Amazone (HYBAM) dataset were used to perform three experiments. The Hydrological Modeling and Analysis Platform (HyMAP) river routing scheme was forced with R and B and simulated discharges are compared against observations at 165 gauges. Simulated ET and TWS are compared against FLUXNET and MOD16A2 evapotranspi-ration datasets and Gravity Recovery and Climate Experiment (GRACE) TWS estimates in two subcatchments of main tributaries (Madeira and Negro Rivers). At the basin scale, simulated ET ranges from 2.39 to 3.26 mm day 21 and a low spatial correlation between ET and precipitation indicates that evapotranspiration does not depend on water availability over most of the basin. Results also show that other simulated water budget components vary significantly as a function of both the LSM and precipitation dataset, but simulated TWS generally agrees with GRACE estimates at the basin scale. The best water budget simulations resulted from experiments using HYBAM, mostly explained by a denser rainfall gauge network and the rescaling at a finer temporal scale.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-02267740
Contributor : Aaron Boone <>
Submitted on : Monday, August 19, 2019 - 4:55:06 PM
Last modification on : Tuesday, January 19, 2021 - 11:09:07 AM
Long-term archiving on: : Thursday, January 9, 2020 - 9:13:59 PM
Contributor : Aaron Boone <>
Submitted on : Monday, August 19, 2019 - 4:55:06 PM
Last modification on : Tuesday, January 19, 2021 - 11:09:07 AM
Long-term archiving on: : Thursday, January 9, 2020 - 9:13:59 PM
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Identifiers
- HAL Id : hal-02267740, version 1
- DOI : 10.1175/JHM-D-14-0068.1
Collections
METEO | CNRS | IRD | UNIV-PARIS1 | METIS_UMR7619 | INSU | AGROPARISTECH | LOCEAN | SORBONNE-UNIVERSITE | UNIV-PARIS7 | MNHN | EPHE | SU-SCIENCES | PRODIG-PUBLICATIONS | USPC | CAMPUS-CONDORCET | SU-LETTRES | UNIV-PARIS | UPMC | UP-SOCIETES-HUMANITES | PSL | SU-TI
Citation
Augusto C. V. Getirana, Emanuel Dutra, Matthieu Guimberteau, Jonghun Kam, Hong-Yi Li, et al.. Water Balance in the Amazon Basin from a Land Surface Model Ensemble. Journal of Hydrometeorology, American Meteorological Society, 2014, 15 (6), pp.2586-2614. ⟨10.1175/JHM-D-14-0068.1⟩. ⟨hal-02267740⟩
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