ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system

We present an assessment of the El Niño Southern Oscillation (ENSO) hindcast skill in the DWD - MPI-M - UHH seasonal prediction system based on the earth system model MPI-ESM. The system is initialised from re-analysis in the atmospheric, oceanic and sea-ice component of the model. We use a hindcast...

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Main Authors: Todt, M., Bunzel, F., Dobrynn, M., Fröhlich, K., Müller, Wolfgang, Baehr, Johanna
Other Authors: Deutsche Meteorologische Gesellschaft, KlimaCampus Hamburg
Format: Still Image
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/20.500.11970/104466
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spelling fthenry:oai:henry.baw.de:20.500.11970/104466 2023-08-27T04:11:55+02:00 ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system Todt, M. Bunzel, F. Dobrynn, M. Fröhlich, K. Müller, Wolfgang Baehr, Johanna Deutsche Meteorologische Gesellschaft KlimaCampus Hamburg 2015 application/pdf https://hdl.handle.net/20.500.11970/104466 eng eng 10. Deutsche Klimatagung, 21. bis 24. September 2015, Hamburg Todt, M.; Bunzel, F.; Dobrynn, M.; Fröhlich, K.; Müller, Wolfgang; Baehr, Johanna (2015): ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system. Poster präsentiert bei: 10. Deutsche Klimatagung, 21. bis 24. September 2015, Hamburg. https://hdl.handle.net/20.500.11970/104466 Bundesanstalt für Wasserbau https://creativecommons.org/licenses/by/3.0/ Ingenieurwissenschaften (620) Klimawandel Conference Poster image Published Version 2015 fthenry https://doi.org/20.500.11970/104466 2023-08-06T23:05:27Z We present an assessment of the El Niño Southern Oscillation (ENSO) hindcast skill in the DWD - MPI-M - UHH seasonal prediction system based on the earth system model MPI-ESM. The system is initialised from re-analysis in the atmospheric, oceanic and sea-ice component of the model. We use a hindcast ensemble with semi-annual start dates between 1981 and 2014 (10 member ensembles started every May and November for 6 months each). We find hindcast skill for Niño 3.4 sea surface temperatures up to 6 months ahead. Hindcast skill is higher for November start dates than for May start dates. In addition to the Niño 3.4 Index, we also assess hindcast skill for Niño3, the West Pacific Warm Water Volume and the zonal wind variability. In particular we focus on the difference in the hindcast skill in the May start dates for the 1997/98 and the 2014 November conditions - though for these two periods overall similar conditions were observed, the subsequent development with a strong El Niño in 1997/98 and a very weak El Niño in 2014 differed considerably. Still Image Sea ice Henry - Hydraulic Engineering Repository Pacific
institution Open Polar
collection Henry - Hydraulic Engineering Repository
op_collection_id fthenry
language English
topic Ingenieurwissenschaften (620)
Klimawandel
spellingShingle Ingenieurwissenschaften (620)
Klimawandel
Todt, M.
Bunzel, F.
Dobrynn, M.
Fröhlich, K.
Müller, Wolfgang
Baehr, Johanna
ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
topic_facet Ingenieurwissenschaften (620)
Klimawandel
description We present an assessment of the El Niño Southern Oscillation (ENSO) hindcast skill in the DWD - MPI-M - UHH seasonal prediction system based on the earth system model MPI-ESM. The system is initialised from re-analysis in the atmospheric, oceanic and sea-ice component of the model. We use a hindcast ensemble with semi-annual start dates between 1981 and 2014 (10 member ensembles started every May and November for 6 months each). We find hindcast skill for Niño 3.4 sea surface temperatures up to 6 months ahead. Hindcast skill is higher for November start dates than for May start dates. In addition to the Niño 3.4 Index, we also assess hindcast skill for Niño3, the West Pacific Warm Water Volume and the zonal wind variability. In particular we focus on the difference in the hindcast skill in the May start dates for the 1997/98 and the 2014 November conditions - though for these two periods overall similar conditions were observed, the subsequent development with a strong El Niño in 1997/98 and a very weak El Niño in 2014 differed considerably.
author2 Deutsche Meteorologische Gesellschaft
KlimaCampus Hamburg
format Still Image
author Todt, M.
Bunzel, F.
Dobrynn, M.
Fröhlich, K.
Müller, Wolfgang
Baehr, Johanna
author_facet Todt, M.
Bunzel, F.
Dobrynn, M.
Fröhlich, K.
Müller, Wolfgang
Baehr, Johanna
author_sort Todt, M.
title ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
title_short ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
title_full ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
title_fullStr ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
title_full_unstemmed ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system
title_sort enso hindcast skill in the dwd - mpi-m - uhh seasonal prediction system
publishDate 2015
url https://hdl.handle.net/20.500.11970/104466
geographic Pacific
geographic_facet Pacific
genre Sea ice
genre_facet Sea ice
op_relation 10. Deutsche Klimatagung, 21. bis 24. September 2015, Hamburg
Todt, M.; Bunzel, F.; Dobrynn, M.; Fröhlich, K.; Müller, Wolfgang; Baehr, Johanna (2015): ENSO hindcast skill in the DWD - MPI-M - UHH seasonal prediction system. Poster präsentiert bei: 10. Deutsche Klimatagung, 21. bis 24. September 2015, Hamburg.
https://hdl.handle.net/20.500.11970/104466
op_rights Bundesanstalt für Wasserbau
https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/20.500.11970/104466
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