Open AccessThe German Climate Forecast System: GCFS
Author(s) -
Fröhlich Kristina,
Dobrynin Mikhail,
Isensee Katharina,
Gessner Claudia,
Paxian Andreas,
Pohlmann Holger,
Haak Helmuth,
Brune Sebastian,
Früh Barbara,
Baehr Johanna
Publication year - 2021
Publication title -
journal of advances in modeling earth systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.03
H-Index - 58
ISSN - 1942-2466
DOI - 10.1029/2020ms002101
Subject(s) - hindcast , climatology , northern hemisphere , environmental science , meteorology , german , climate system , boreal , climate change , geography , oceanography , geology , archaeology
Abstract Seasonal prediction is one important element in a seamless prediction chain between weather forecasts and climate projections. After several years of development in collaboration with Universität Hamburg and Max Planck Institute for Meteorology, the Deutscher Wetterdienst performs operational seasonal forecasts since 2016 with the German Climate Forecast System, now in Version 2 (GCFS2.0). Here, the configuration of the previous system GCFS1.0 and the current GCFS2.0 are described and the performance of the two systems is compared over the common hindcast period of 1990–2014. In GCFS2.0, the forecast skill is improved compared to GCFS1.0 during boreal winter, especially for the Northern Hemisphere where the Pearson correlation has increased for the North Atlantic Oscillation index. Overall, a similar performance of GCFS2.0 in comparison to GCFS1.0 is assessed during the boreal summer. Future developments for climate forecasts need a stronger focus on the performance of interannual variability in a model system.