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pro vyhledávání: '"4 Meteorological Observatory Hohenpeißenberg German Weather Service Hohenpeißenberg Germany"'
Autor:
Dieng, Diarra, Cannon, Alex J., Laux, Patrick, Hald, Cornelius, Adeyeri, Oluwafemi, Rahimi, Jaber, Srivastava, Amit K., Mbaye, Mamadou Lamine, Kunstmann, Harald, 2 Environment and Climate Change Canada Victoria BC Canada, 1 Karlsruhe Institute of Technology (KIT) Campus Alpin Institute of Meteorology and Climate Research ‐ Atmospheric Environmental Research (IMK‐IFU) Garmisch‐Partenkirchen Germany, 4 Meteorological Observatory Hohenpeißenberg German Weather Service Hohenpeißenberg Germany, 5 School of Energy and Environment City University of Hong Kong Kowloon Hong‐Kong, 6 Institute of Crop Science and Resource Conservation University of Bonn Bonn Germany, 7 Laboratoire d’Océanographie des Sciences de l’Environnement et du Climat (LOSEC) Université Assane SECK de Ziguinchor Ziguinchor Senegal
Publikováno v:
Journal of Geophysical Research: Atmospheres, 127 (5), e2021JD034836
A multivariate bias correction based on N‐dimensional probability density function transform (MBCn) technique is applied to four different high‐resolution regional climate change simulations and key meteorological variables, namely precipitation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e7e8f56e169b2a76ccdd3e22928d3f0
https://opus.bibliothek.uni-augsburg.de/opus4/files/96140/JGRD_JGRD57644.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/96140/JGRD_JGRD57644.pdf