The German Climate Forecast System: GCFS
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 operation...
Published in: | Journal of Advances in Modeling Earth Systems |
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American Geophysical Union (AGU)
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Online Access: | https://doi.org/10.1029/2020MS002101 https://doaj.org/article/88b3f03ac644498faa312fb44b561204 |
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ftdoajarticles:oai:doaj.org/article:88b3f03ac644498faa312fb44b561204 2023-05-15T17:32:44+02:00 The German Climate Forecast System: GCFS Kristina Fröhlich Mikhail Dobrynin Katharina Isensee Claudia Gessner Andreas Paxian Holger Pohlmann Helmuth Haak Sebastian Brune Barbara Früh Johanna Baehr 2021-02-01T00:00:00Z https://doi.org/10.1029/2020MS002101 https://doaj.org/article/88b3f03ac644498faa312fb44b561204 EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2020MS002101 https://doaj.org/toc/1942-2466 1942-2466 doi:10.1029/2020MS002101 https://doaj.org/article/88b3f03ac644498faa312fb44b561204 Journal of Advances in Modeling Earth Systems, Vol 13, Iss 2, Pp n/a-n/a (2021) development Earth‐system forecasts model seasonal Physical geography GB3-5030 Oceanography GC1-1581 article 2021 ftdoajarticles https://doi.org/10.1029/2020MS002101 2022-12-31T06:30:38Z 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles Journal of Advances in Modeling Earth Systems 13 2 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
development Earth‐system forecasts model seasonal Physical geography GB3-5030 Oceanography GC1-1581 |
spellingShingle |
development Earth‐system forecasts model seasonal Physical geography GB3-5030 Oceanography GC1-1581 Kristina Fröhlich Mikhail Dobrynin Katharina Isensee Claudia Gessner Andreas Paxian Holger Pohlmann Helmuth Haak Sebastian Brune Barbara Früh Johanna Baehr The German Climate Forecast System: GCFS |
topic_facet |
development Earth‐system forecasts model seasonal Physical geography GB3-5030 Oceanography GC1-1581 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Kristina Fröhlich Mikhail Dobrynin Katharina Isensee Claudia Gessner Andreas Paxian Holger Pohlmann Helmuth Haak Sebastian Brune Barbara Früh Johanna Baehr |
author_facet |
Kristina Fröhlich Mikhail Dobrynin Katharina Isensee Claudia Gessner Andreas Paxian Holger Pohlmann Helmuth Haak Sebastian Brune Barbara Früh Johanna Baehr |
author_sort |
Kristina Fröhlich |
title |
The German Climate Forecast System: GCFS |
title_short |
The German Climate Forecast System: GCFS |
title_full |
The German Climate Forecast System: GCFS |
title_fullStr |
The German Climate Forecast System: GCFS |
title_full_unstemmed |
The German Climate Forecast System: GCFS |
title_sort |
german climate forecast system: gcfs |
publisher |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://doi.org/10.1029/2020MS002101 https://doaj.org/article/88b3f03ac644498faa312fb44b561204 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 2, Pp n/a-n/a (2021) |
op_relation |
https://doi.org/10.1029/2020MS002101 https://doaj.org/toc/1942-2466 1942-2466 doi:10.1029/2020MS002101 https://doaj.org/article/88b3f03ac644498faa312fb44b561204 |
op_doi |
https://doi.org/10.1029/2020MS002101 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
13 |
container_issue |
2 |
_version_ |
1766130994789744640 |