A new spatial distribution map of δ 18 O in Antarctic surface snow

• Published in: Geophysical Research Letters
• Main Authors: Wang, Yetang, Hou, Shugui, Masson-Delmotte, Valérie, Jouzel, Jean
• Other Authors: Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences Beijing (CAS), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS), 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)-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 2009
• Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; Antarc*; Antarctic
• Online Access: https://hal.science/hal-03104293; https://hal.science/hal-03104293/document; https://hal.science/hal-03104293/file/2008GL036939.pdf; https://doi.org/10.1029/2008GL036939

International audience We developed a gridded map of surface Antarctic snow isotopic composition using a recently compiled database and the modified Bowen and Wilkinson (2002) model using latitude and elevation as the primary predictors while also incorporating regional and local deviations based on available isotopic data. The map was generated using a 1‐km digital elevation model grid data as the model input. The average of the absolute deviations between observations and predictions was about 0.8‰, and the standard deviation is 0.9‰. The resulting δ18O patterns reproduced correctly spatial isotopic gradients with respect to geographical characteristics, as well as climatic features.