Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis

• Published in: Biogeosciences
• Main Authors: Leibovici, Didier, G., Quegan, Shaun, Comyn-Platt, Edward, Hayman, Garry, Val Martin, Maria, Guimberteau, Mathieu, Druel, Arsène, Zhu, Dan, Ciais, Philippe
• Other Authors: School of Mathematics and Statistics Sheffield (SoMaS), University of Sheffield Sheffield, Centre for Ecology and Hydrology Wallingford (CEH), Natural Environment Research Council (NERC), Department of Animal and Plant Sciences Sheffield, Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2020
• Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; environment; Jules; Fennoscandian
• Online Access: https://hal.science/hal-02532743; https://hal.science/hal-02532743/document; https://hal.science/hal-02532743/file/bg-17-1821-2020.pdf; https://doi.org/10.5194/bg-17-1821-2020

International audience A range of applications analysing the impact of environmental changes due to climate change, e.g. geographical spread of climate-sensitive infections (CSIs) and agriculture crop modelling, make use of land surface modelling (LSM) to predict future land surface conditions. Ther...