An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models

A climatological dataset for forcing global ocean models has been derived from the Re-Analysis (ERA) of the European Centre for Medium-Range Weather Forecasts. This dataset has been constructed for an Ocean Model Intercomparison Project (OMIP), in which the Max-Planck-Institute for Meteorology (MPI)...

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Main Author: Röske, F.
Format: Report
Language:English
Published: 2001
Subjects:
Online Access:http://hdl.handle.net/21.11116/0000-0003-2E85-4
http://hdl.handle.net/21.11116/0000-0005-AC1D-A
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spelling ftpubman:oai:pure.mpg.de:item_1560217 2023-08-20T03:59:27+02:00 An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models Röske, F. 2001 application/pdf http://hdl.handle.net/21.11116/0000-0003-2E85-4 http://hdl.handle.net/21.11116/0000-0005-AC1D-A eng eng info:eu-repo/semantics/altIdentifier/doi/10.17617/2.1560217 http://hdl.handle.net/21.11116/0000-0003-2E85-4 http://hdl.handle.net/21.11116/0000-0005-AC1D-A info:eu-repo/semantics/openAccess Report / Max-Planck-Institut für Meteorologie info:eu-repo/semantics/workingPaper 2001 ftpubman https://doi.org/10.17617/2.1560217 2023-08-01T23:50:28Z A climatological dataset for forcing global ocean models has been derived from the Re-Analysis (ERA) of the European Centre for Medium-Range Weather Forecasts. This dataset has been constructed for an Ocean Model Intercomparison Project (OMIP), in which the Max-Planck-Institute for Meteorology (MPI), the German Climate Computing Center in Hamburg, and the Alfred Wegener Institute Foundation for Polar and Marine Research in Bremerhaven were involved. The dataset is referred to as \OMIP-Forcing". In OMIP, the focus was on the intercomparison of the mean global circulation simulated by different ocean models. Therefore, a mean annual cycle has been produced from the 15 years of ERA by using Gaussian filltering with daily fluctuations superimposed. The precipitation and evaporation over the continents have been transformed into runoff A scheme has been used which is based on the main drainage basins as well as the catchment areas and annual runoff observations of the 35 largest rivers. The scheme is run independently of the ocean models. The budgets of the heat and the fresh water uxes have been closed by modifying the bulk formulae. All three forecast cycles of ERA have been examined with respect to the demands for the closure procedure. The 24 hour cycle has the best properties. Therefore, this cycle has been chosen to be the base of the OMIP-Forcing. The dataset is compared to six other climatologies: the direct output of ERA, the Re-Analysis of the National Center for Environmental Prediction and the National Center for Atmosperic Research (NCEP/NCAR), the Comprehensive Ocean Atmosphere Data Sets (COADS) in three dierent versions (Oberhuber, da Silva, and the Southampton Oceanographic Centre), and the output of the atmospheric model ECHAM4 of the MPI. Report Alfred Wegener Institute Max Planck Society: MPG.PuRe
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description A climatological dataset for forcing global ocean models has been derived from the Re-Analysis (ERA) of the European Centre for Medium-Range Weather Forecasts. This dataset has been constructed for an Ocean Model Intercomparison Project (OMIP), in which the Max-Planck-Institute for Meteorology (MPI), the German Climate Computing Center in Hamburg, and the Alfred Wegener Institute Foundation for Polar and Marine Research in Bremerhaven were involved. The dataset is referred to as \OMIP-Forcing". In OMIP, the focus was on the intercomparison of the mean global circulation simulated by different ocean models. Therefore, a mean annual cycle has been produced from the 15 years of ERA by using Gaussian filltering with daily fluctuations superimposed. The precipitation and evaporation over the continents have been transformed into runoff A scheme has been used which is based on the main drainage basins as well as the catchment areas and annual runoff observations of the 35 largest rivers. The scheme is run independently of the ocean models. The budgets of the heat and the fresh water uxes have been closed by modifying the bulk formulae. All three forecast cycles of ERA have been examined with respect to the demands for the closure procedure. The 24 hour cycle has the best properties. Therefore, this cycle has been chosen to be the base of the OMIP-Forcing. The dataset is compared to six other climatologies: the direct output of ERA, the Re-Analysis of the National Center for Environmental Prediction and the National Center for Atmosperic Research (NCEP/NCAR), the Comprehensive Ocean Atmosphere Data Sets (COADS) in three dierent versions (Oberhuber, da Silva, and the Southampton Oceanographic Centre), and the output of the atmospheric model ECHAM4 of the MPI.
format Report
author Röske, F.
spellingShingle Röske, F.
An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
author_facet Röske, F.
author_sort Röske, F.
title An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
title_short An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
title_full An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
title_fullStr An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
title_full_unstemmed An atlas of surface fluxes based on the ECMWF Re-Analysis- a climatological dataset to force global ocean general circulation models
title_sort atlas of surface fluxes based on the ecmwf re-analysis- a climatological dataset to force global ocean general circulation models
publishDate 2001
url http://hdl.handle.net/21.11116/0000-0003-2E85-4
http://hdl.handle.net/21.11116/0000-0005-AC1D-A
genre Alfred Wegener Institute
genre_facet Alfred Wegener Institute
op_source Report / Max-Planck-Institut für Meteorologie
op_relation info:eu-repo/semantics/altIdentifier/doi/10.17617/2.1560217
http://hdl.handle.net/21.11116/0000-0003-2E85-4
http://hdl.handle.net/21.11116/0000-0005-AC1D-A
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.17617/2.1560217
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