"The work was partly supported through the Cluster of Excellence “CliSAP” (EXC177), Universität Hamburg, funded through the German Research Foundation (DFG). It is a contribution to the Helmholtz Climate Initiative REKLIM (Regional Climate Change), a joint research project of the Helmholtz Association of German research centers (HGF). The CCLM is the community model of the German climate research (www.clm-community.eu). The German Climate Computing Center (DKRZ) provided the computer hardware for the regional and global climate model simulations. The simulation data are accessible at the German Climate Computing center (DKRZ): the BYS data via https://cera-www.dkrz.de/WDCC/ui/cerasearch/q?query=*:*&project_name_ss=coastDat-2%20%28coastDat-2%29
; the Siberian data at doi:10.1594/WDCC/COSMO-CLM_siberia
; the South Atlantic data at https://www.dkrz.de/Nutzerportal-en/doku/hpss
; and the global simulations at http://icdc.cen.uni-hamburg.de/1/daten/atmosphere/echam6-climate-reconstruction.html. Sources for observational data are listed in the text and in Appendix A.
Institute of Coastal Research, Helmholtz Zentrum Geesthacht, Geesthacht, Germany; CliSAP, University of Hamburg, Hamburg, Germany; Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China; Institute for Geology, University of Hamburg, Hamburg, Germany
Recommended Citation:
von Storch H.,Feser F.,Geyer B.,et al. Regional reanalysis without local data: Exploiting the downscaling paradigm[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(16)