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...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Kristina Fröhlich, Mikhail Dobrynin, Katharina Isensee, Claudia Gessner, Andreas Paxian, Holger Pohlmann, Helmuth Haak, Sebastian Brune, Barbara Früh, Johanna Baehr
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2021
Subjects:
Online Access:https://doi.org/10.1029/2020MS002101
https://doaj.org/article/88b3f03ac644498faa312fb44b561204
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spelling 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
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