Partially coupled spin-up of the MPI-ESM: implementation and first results
Large-scale fully coupled Earth system models (ESMs) are usually applied in climate projections like the IPCC (Intergovernmental Panel on Climate Change) reports. In these models internal variability is often within the correct order of magnitude compared with the observed climate, but due to intern...
Published in: | Geoscientific Model Development |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications (EGU)
2015
|
Subjects: | |
Online Access: | https://oceanrep.geomar.de/id/eprint/27017/ https://oceanrep.geomar.de/id/eprint/27017/1/gmd-8-51-2015.pdf https://doi.org/10.5194/gmd-8-51-2015 |
id |
ftoceanrep:oai:oceanrep.geomar.de:27017 |
---|---|
record_format |
openpolar |
spelling |
ftoceanrep:oai:oceanrep.geomar.de:27017 2023-05-15T18:18:12+02:00 Partially coupled spin-up of the MPI-ESM: implementation and first results Thoma, M. Gerdes, R. Greatbatch, Richard John Ding, Hui 2015 text https://oceanrep.geomar.de/id/eprint/27017/ https://oceanrep.geomar.de/id/eprint/27017/1/gmd-8-51-2015.pdf https://doi.org/10.5194/gmd-8-51-2015 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/27017/1/gmd-8-51-2015.pdf Thoma, M., Gerdes, R., Greatbatch, R. J. and Ding, H. (2015) Partially coupled spin-up of the MPI-ESM: implementation and first results. Geoscientific Model Development, 8 (1). pp. 51-68. DOI 10.5194/gmd-8-51-2015 <https://doi.org/10.5194/gmd-8-51-2015>. doi:10.5194/gmd-8-51-2015 cc_by Article PeerReviewed 2015 ftoceanrep https://doi.org/10.5194/gmd-8-51-2015 2023-04-07T15:16:51Z Large-scale fully coupled Earth system models (ESMs) are usually applied in climate projections like the IPCC (Intergovernmental Panel on Climate Change) reports. In these models internal variability is often within the correct order of magnitude compared with the observed climate, but due to internal variability and arbitrary initial conditions they are not able to reproduce the observed timing of climate events or shifts as for instance observed in the El Niño–Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO), or the Atlantic Meridional Overturning Circulation (AMOC). Additional information about the real climate history is necessary to constrain ESMs; not only to emulate the past climate, but also to introduce a potential forecast skill into these models through a proper initialisation. We attempt to do this by extending the fully coupled climate model Max Planck Institute Earth System Model (MPI-ESM) using a partial coupling technique (Modini-MPI-ESM). This method is implemented by adding reanalysis wind-field anomalies to the MPI-ESM's inherent climatological wind field when computing the surface wind stress that is used to drive the ocean and sea ice model. Using anomalies instead of the full wind field reduces potential model drifts, because of different mean climate states of the unconstrained MPI-ESM and the partially coupled Modini-MPI-ESM, that could arise if total observed wind stress was used. We apply two different reanalysis wind products (National Centers for Environmental Prediction, Climate Forecast System Reanalysis (NCEPcsfr) and ERA-Interim reanalysis (ERAI)) and analyse the skill of Modini-MPI-ESM with respect to several observed oceanic, atmospheric, and sea ice indices. We demonstrate that Modini-MPI-ESM has a significant skill over the time period 1980–2013 in reproducing historical climate fluctuations, indicating the potential of the method for initialising seasonal to decadal forecasts. Additionally, our comparison of the results achieved with the two reanalysis wind ... Article in Journal/Newspaper Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Pacific Geoscientific Model Development 8 1 51 68 |
institution |
Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
op_collection_id |
ftoceanrep |
language |
English |
description |
Large-scale fully coupled Earth system models (ESMs) are usually applied in climate projections like the IPCC (Intergovernmental Panel on Climate Change) reports. In these models internal variability is often within the correct order of magnitude compared with the observed climate, but due to internal variability and arbitrary initial conditions they are not able to reproduce the observed timing of climate events or shifts as for instance observed in the El Niño–Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO), or the Atlantic Meridional Overturning Circulation (AMOC). Additional information about the real climate history is necessary to constrain ESMs; not only to emulate the past climate, but also to introduce a potential forecast skill into these models through a proper initialisation. We attempt to do this by extending the fully coupled climate model Max Planck Institute Earth System Model (MPI-ESM) using a partial coupling technique (Modini-MPI-ESM). This method is implemented by adding reanalysis wind-field anomalies to the MPI-ESM's inherent climatological wind field when computing the surface wind stress that is used to drive the ocean and sea ice model. Using anomalies instead of the full wind field reduces potential model drifts, because of different mean climate states of the unconstrained MPI-ESM and the partially coupled Modini-MPI-ESM, that could arise if total observed wind stress was used. We apply two different reanalysis wind products (National Centers for Environmental Prediction, Climate Forecast System Reanalysis (NCEPcsfr) and ERA-Interim reanalysis (ERAI)) and analyse the skill of Modini-MPI-ESM with respect to several observed oceanic, atmospheric, and sea ice indices. We demonstrate that Modini-MPI-ESM has a significant skill over the time period 1980–2013 in reproducing historical climate fluctuations, indicating the potential of the method for initialising seasonal to decadal forecasts. Additionally, our comparison of the results achieved with the two reanalysis wind ... |
format |
Article in Journal/Newspaper |
author |
Thoma, M. Gerdes, R. Greatbatch, Richard John Ding, Hui |
spellingShingle |
Thoma, M. Gerdes, R. Greatbatch, Richard John Ding, Hui Partially coupled spin-up of the MPI-ESM: implementation and first results |
author_facet |
Thoma, M. Gerdes, R. Greatbatch, Richard John Ding, Hui |
author_sort |
Thoma, M. |
title |
Partially coupled spin-up of the MPI-ESM: implementation and first results |
title_short |
Partially coupled spin-up of the MPI-ESM: implementation and first results |
title_full |
Partially coupled spin-up of the MPI-ESM: implementation and first results |
title_fullStr |
Partially coupled spin-up of the MPI-ESM: implementation and first results |
title_full_unstemmed |
Partially coupled spin-up of the MPI-ESM: implementation and first results |
title_sort |
partially coupled spin-up of the mpi-esm: implementation and first results |
publisher |
Copernicus Publications (EGU) |
publishDate |
2015 |
url |
https://oceanrep.geomar.de/id/eprint/27017/ https://oceanrep.geomar.de/id/eprint/27017/1/gmd-8-51-2015.pdf https://doi.org/10.5194/gmd-8-51-2015 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/27017/1/gmd-8-51-2015.pdf Thoma, M., Gerdes, R., Greatbatch, R. J. and Ding, H. (2015) Partially coupled spin-up of the MPI-ESM: implementation and first results. Geoscientific Model Development, 8 (1). pp. 51-68. DOI 10.5194/gmd-8-51-2015 <https://doi.org/10.5194/gmd-8-51-2015>. doi:10.5194/gmd-8-51-2015 |
op_rights |
cc_by |
op_doi |
https://doi.org/10.5194/gmd-8-51-2015 |
container_title |
Geoscientific Model Development |
container_volume |
8 |
container_issue |
1 |
container_start_page |
51 |
op_container_end_page |
68 |
_version_ |
1766194690909011968 |