| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | YAO, Yunjun | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | LIANG, Shunlin | |
| hal.structure.identifier | College of Global Change and Earth System Science [GCESS] | |
| dc.contributor.author | LI, Xianglan | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | LIU, Shaomin | |
| hal.structure.identifier | CGCEO/Geography | |
| dc.contributor.author | CHEN, Jiquan | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | ZHANG, Xiaotong | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | JIA, Kun | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | JIANG, Bo | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | XIE, Xianhong | |
| hal.structure.identifier | Laboratoire d'études en Géophysique et océanographie spatiales [LEGOS] | |
| dc.contributor.author | MUNIER, Simon | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | LIU, Meng | |
| hal.structure.identifier | State Key Laboratory of Remote Sensing Science, School of Geography | |
| dc.contributor.author | YU, Jian | |
| hal.structure.identifier | GeoBiosphere Science Centre | |
| dc.contributor.author | LINDROTH, Anders | |
| hal.structure.identifier | A.N. Severtsov Institute of Ecology and Evolution | |
| dc.contributor.author | VARLAGIN, Andrej | |
| hal.structure.identifier | Istituto di Biometeorologia [Firenze] [IBIMET] | |
| dc.contributor.author | RASCHI, Antonio | |
| hal.structure.identifier | Dept. Forestry and Environmental Resources | |
| dc.contributor.author | NOORMETS, Asko | |
| hal.structure.identifier | CESAM & Departamento de Ambiente e Ordenamento | |
| dc.contributor.author | PIO, Casimiro | |
| hal.structure.identifier | Institute of Ecology | |
| hal.structure.identifier | European Academy Bolzano | |
| dc.contributor.author | WOHLFAHRT, Georg | |
| hal.structure.identifier | Eastern Forest Environmental Threat Assessment Center, Southern Research Station | |
| dc.contributor.author | SUN, Ge | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| hal.structure.identifier | Nicholas School of the Environment | |
| dc.contributor.author | DOMEC, Jean-Christophe | |
| hal.structure.identifier | Faculty of Science and Technology | |
| hal.structure.identifier | Forest Services | |
| dc.contributor.author | MONTAGNANI, Leonardo | |
| hal.structure.identifier | Department of Bioscience | |
| dc.contributor.author | LUND, Magnus | |
| hal.structure.identifier | Climate Change and Adaptive Land and Water Management | |
| hal.structure.identifier | Vrije Universiteit Amsterdam [Amsterdam] [VU] | |
| dc.contributor.author | EDDY, Moors | |
| hal.structure.identifier | Department of Geography | |
| dc.contributor.author | BLANKEN, Peter D. | |
| hal.structure.identifier | Institute of Hydrology and Meteorology [Dresden] | |
| dc.contributor.author | GRÜNWALD, Thomas | |
| hal.structure.identifier | Institute of Agricultural Sciences | |
| dc.contributor.author | WOLF, Sebastian | |
| hal.structure.identifier | National Research Council [CNR] | |
| dc.contributor.author | MAGLIULO, Vincenzo | |
| dc.date.accessioned | 2024-04-08T12:11:27Z | |
| dc.date.available | 2024-04-08T12:11:27Z | |
| dc.date.issued | 2016 | |
| dc.identifier.issn | 0168-1923 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/196691 | |
| dc.description.abstractEn | The latent heat flux (LE) between the terrestrial biosphere and atmosphere is a major driver of the global hydrological cycle. In this study, we evaluated LE simulations by 45 general circulation models (GCMs) in the Coupled Model Intercomparison Project Phase 5 (CMIP5) by a comparison with eddy covariance (EC) observations from 240 globally distributed sites from 2000 to 2009. In addition, we improved global terrestrial LE estimates for different land cover types by synthesis of seven best CMIP5 models and EC observations based on a Bayesian model averaging (BMA) method. The comparison results showed substantial differences in monthly LE among all GCMs. The model CESM1-CAM5 has the best performance with the highest predictive skill and a Taylor skill score (S) from 0.51–0.75 for different land cover types. The cross-validation results illustrate that the BMA method has improved the accuracy of the CMIP5 GCM’s LE simulation with a decrease in the averaged root-mean-square error (RMSE) by more than 3 W/m2 when compared to the simple model averaging (SMA) method and individual GCMs. We found an increasing trend in the BMA-based global terrestrial LE (slope of 0.018 W/m2 yr−1, p < 0.05) during the period 1970–2005. This variation may be attributed directly to the inter-annual variations in air temperature (Ta), surface incident solar radiation (Rs) and precipitation (P). However, our study highlights a large difference from previous studies in a continuous increasing trend after 1998, which may be caused by the combined effects of the variations of Rs, Ta, and P on LE for different models on these time scales. This study provides corrected-modeling evidence for an accelerated global water cycle with climate change. | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Masson | |
| dc.subject | atmosphère terrestre | |
| dc.subject | biosphère | |
| dc.subject | chaleur latente | |
| dc.subject | cycle hydrologique | |
| dc.subject | loi de taylor | |
| dc.subject.en | global terrestrial LE | |
| dc.subject.en | CMIP5 | |
| dc.subject.en | GCMs | |
| dc.subject.en | BMA | |
| dc.subject.en | taylor skill score | |
| dc.subject.en | terrestrial atmosphere | |
| dc.subject.en | latent heat | |
| dc.subject.en | water cycle | |
| dc.title.en | Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.agrformet.2016.03.016 | |
| dc.subject.hal | Sciences de l'environnement/Milieux et Changements globaux | |
| bordeaux.journal | Agricultural and Forest Meteorology | |
| bordeaux.page | 151-167 | |
| bordeaux.volume | 223 | |
| bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01512177 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Non spécifiée | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01512177v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Agricultural%20and%20Forest%20Meteorology&rft.date=2016&rft.volume=223&rft.spage=151-167&rft.epage=151-167&rft.eissn=0168-1923&rft.issn=0168-1923&rft.au=YAO,%20Yunjun&LIANG,%20Shunlin&LI,%20Xianglan&LIU,%20Shaomin&CHEN,%20Jiquan&rft.genre=article | |
