Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias
In order to investigate the impact of spatial resolution on the discrepancy between simulated δ18O and observed δ18O in Greenland ice cores, regional climate simulations are performed with the isotope-enabled regional climate model (RCM) COSMO_iso. For this purpose, isotope-enabled general circulati...
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ftoceanrep:oai:oceanrep.geomar.de:49470 2024-02-11T10:01:09+01:00 Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias Breil, Marcus Christner, Emanuel Cauquoin, Alexandre Werner, Martin Schädler, Gerd 2021-08-11 text https://oceanrep.geomar.de/id/eprint/49470/ https://oceanrep.geomar.de/id/eprint/49470/1/cp-17-1685-2021.pdf https://doi.org/10.5194/cp-2019-156 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/49470/1/cp-17-1685-2021.pdf Breil, M., Christner, E., Cauquoin, A. , Werner, M. and Schädler, G. (2021) Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias. Open Access Climate of the Past, 17 . pp. 1685-1699. DOI 10.5194/cp-2019-156 <https://doi.org/10.5194/cp-2019-156>. doi:10.5194/cp-2019-156 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2021 ftoceanrep https://doi.org/10.5194/cp-2019-156 2024-01-15T00:22:42Z In order to investigate the impact of spatial resolution on the discrepancy between simulated δ18O and observed δ18O in Greenland ice cores, regional climate simulations are performed with the isotope-enabled regional climate model (RCM) COSMO_iso. For this purpose, isotope-enabled general circulation model (GCM) simulations with the ECHAM5-wiso general circulation model (GCM) under present-day conditions and the MPI-ESM-wiso GCM under mid-Holocene conditions are dynamically downscaled with COSMO_iso for the Arctic region. The capability of COSMO_iso to reproduce observed isotopic ratios in Greenland ice cores for these two periods is investigated by comparing the simulation results to measured δ18O ratios from snow pit samples, Global Network of Isotopes in Precipitation (GNIP) stations and ice cores. To our knowledge, this is the first time that a mid-Holocene isotope-enabled RCM simulation is performed for the Arctic region. Under present-day conditions, a dynamical downscaling of ECHAM5-wiso (1.1∘×1.1∘ ) with COSMO_iso to a spatial resolution of 50 km improves the agreement with the measured δ18O ratios for 14 of 19 observational data sets. A further increase in the spatial resolution to 7 km does not yield substantial improvements except for the coastal areas with its complex terrain. For the mid-Holocene, a fully coupled MPI-ESM-wiso time slice simulation is downscaled with COSMO_iso to a spatial resolution of 50 km. In the mid-Holocene, MPI-ESM-wiso already agrees well with observations in Greenland and a downscaling with COSMO_iso does not further improve the model–data agreement. Despite this lack of improvement in model biases, the study shows that in both periods, observed δ18O values at measurement sites constitute isotope ratios which are mainly within the subgrid-scale variability of the global ECHAM5-wiso and MPI-ESM-wiso simulation results. The correct δ18O ratios are consequently not resolved in the GCM simulation results and need to be extracted by a refinement with an RCM. In this context, the ... Article in Journal/Newspaper Arctic Greenland Greenland ice cores Ice Sheet OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Greenland |
institution |
Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
op_collection_id |
ftoceanrep |
language |
English |
description |
In order to investigate the impact of spatial resolution on the discrepancy between simulated δ18O and observed δ18O in Greenland ice cores, regional climate simulations are performed with the isotope-enabled regional climate model (RCM) COSMO_iso. For this purpose, isotope-enabled general circulation model (GCM) simulations with the ECHAM5-wiso general circulation model (GCM) under present-day conditions and the MPI-ESM-wiso GCM under mid-Holocene conditions are dynamically downscaled with COSMO_iso for the Arctic region. The capability of COSMO_iso to reproduce observed isotopic ratios in Greenland ice cores for these two periods is investigated by comparing the simulation results to measured δ18O ratios from snow pit samples, Global Network of Isotopes in Precipitation (GNIP) stations and ice cores. To our knowledge, this is the first time that a mid-Holocene isotope-enabled RCM simulation is performed for the Arctic region. Under present-day conditions, a dynamical downscaling of ECHAM5-wiso (1.1∘×1.1∘ ) with COSMO_iso to a spatial resolution of 50 km improves the agreement with the measured δ18O ratios for 14 of 19 observational data sets. A further increase in the spatial resolution to 7 km does not yield substantial improvements except for the coastal areas with its complex terrain. For the mid-Holocene, a fully coupled MPI-ESM-wiso time slice simulation is downscaled with COSMO_iso to a spatial resolution of 50 km. In the mid-Holocene, MPI-ESM-wiso already agrees well with observations in Greenland and a downscaling with COSMO_iso does not further improve the model–data agreement. Despite this lack of improvement in model biases, the study shows that in both periods, observed δ18O values at measurement sites constitute isotope ratios which are mainly within the subgrid-scale variability of the global ECHAM5-wiso and MPI-ESM-wiso simulation results. The correct δ18O ratios are consequently not resolved in the GCM simulation results and need to be extracted by a refinement with an RCM. In this context, the ... |
format |
Article in Journal/Newspaper |
author |
Breil, Marcus Christner, Emanuel Cauquoin, Alexandre Werner, Martin Schädler, Gerd |
spellingShingle |
Breil, Marcus Christner, Emanuel Cauquoin, Alexandre Werner, Martin Schädler, Gerd Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
author_facet |
Breil, Marcus Christner, Emanuel Cauquoin, Alexandre Werner, Martin Schädler, Gerd |
author_sort |
Breil, Marcus |
title |
Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
title_short |
Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
title_full |
Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
title_fullStr |
Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
title_full_unstemmed |
Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias |
title_sort |
applying an isotope-enabled regional climate model over the greenland ice sheet: effect of spatial resolution on model bias |
publisher |
Copernicus Publications (EGU) |
publishDate |
2021 |
url |
https://oceanrep.geomar.de/id/eprint/49470/ https://oceanrep.geomar.de/id/eprint/49470/1/cp-17-1685-2021.pdf https://doi.org/10.5194/cp-2019-156 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Greenland ice cores Ice Sheet |
genre_facet |
Arctic Greenland Greenland ice cores Ice Sheet |
op_relation |
https://oceanrep.geomar.de/id/eprint/49470/1/cp-17-1685-2021.pdf Breil, M., Christner, E., Cauquoin, A. , Werner, M. and Schädler, G. (2021) Applying an isotope-enabled regional climate model over the Greenland ice sheet: effect of spatial resolution on model bias. Open Access Climate of the Past, 17 . pp. 1685-1699. DOI 10.5194/cp-2019-156 <https://doi.org/10.5194/cp-2019-156>. doi:10.5194/cp-2019-156 |
op_rights |
cc_by_4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/cp-2019-156 |
_version_ |
1790596904969568256 |