The added value of high resolution in estimating the surface mass balance in southern Greenland

The polar version of the regional climate model RACMO2, version 2.3p1, is used to study the effect of model resolution on the simulated climate and surface mass balance (SMB) of south Greenland for the current climate (2007–2014). The model data at resolutions of 60, 20, 6.6, and 2.2 km are intercom...

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Published in:The Cryosphere
Main Authors: Berg, Willem Jan, Meijgaard, Erik, Ulft, Lambertus H.
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/tc-14-1809-2020
https://tc.copernicus.org/articles/14/1809/2020/
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spelling ftcopernicus:oai:publications.copernicus.org:tc81366 2023-05-15T16:27:47+02:00 The added value of high resolution in estimating the surface mass balance in southern Greenland Berg, Willem Jan Meijgaard, Erik Ulft, Lambertus H. 2020-06-09 application/pdf https://doi.org/10.5194/tc-14-1809-2020 https://tc.copernicus.org/articles/14/1809/2020/ eng eng doi:10.5194/tc-14-1809-2020 https://tc.copernicus.org/articles/14/1809/2020/ eISSN: 1994-0424 Text 2020 ftcopernicus https://doi.org/10.5194/tc-14-1809-2020 2020-07-20T16:22:06Z The polar version of the regional climate model RACMO2, version 2.3p1, is used to study the effect of model resolution on the simulated climate and surface mass balance (SMB) of south Greenland for the current climate (2007–2014). The model data at resolutions of 60, 20, 6.6, and 2.2 km are intercompared and compared to SMB observations using three different data refinement methods: nearest neighbour, bilinear interpolation, and a statistical downscaling method utilising the local dependency of fields on elevation. Furthermore, it is estimated how the errors induced by model resolution compare to errors induced by the model physics and initialisation. The results affirm earlier studies that SMB components which are tightly linked to elevation, like runoff, can be refined successfully, as soon as the ablation zone is reasonably well resolved in the source dataset. Precipitation fields are also highly elevation dependent, but precipitation has no systematic correlation with elevation, which inhibits statistical downscaling to work well. If refined component-wise, 20 km resolution model simulations can reproduce the SMB ablation observations almost as well as the finer-resolution model simulations. Nonetheless, statistical downscaling and regional climate modelling are complementary; the best results are obtained when high-resolution RACMO2 data are statistically refined. Model estimates in the accumulation zone do not benefit from statistical downscaling; hence, a resolution of about 20 km is sufficient to resolve the majority of the accumulation zone of the Greenland Ice Sheet with respect to the limited measurements we have. Furthermore, we demonstrate that using RACMO2, a hydrostatic model, at 2.2 km resolution led to invalid results as topographic and synoptic vertical winds exceed 10 m s −1 , which violates the hydrostatic model assumptions. Finally, additional tests show that model resolution is as important as properly resolving spatial albedo patterns, correctly initialising the firn column, and uncertainties in the modelled precipitation and turbulent exchange. Text Greenland Ice Sheet Copernicus Publications: E-Journals Greenland The Cryosphere 14 6 1809 1827
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The polar version of the regional climate model RACMO2, version 2.3p1, is used to study the effect of model resolution on the simulated climate and surface mass balance (SMB) of south Greenland for the current climate (2007–2014). The model data at resolutions of 60, 20, 6.6, and 2.2 km are intercompared and compared to SMB observations using three different data refinement methods: nearest neighbour, bilinear interpolation, and a statistical downscaling method utilising the local dependency of fields on elevation. Furthermore, it is estimated how the errors induced by model resolution compare to errors induced by the model physics and initialisation. The results affirm earlier studies that SMB components which are tightly linked to elevation, like runoff, can be refined successfully, as soon as the ablation zone is reasonably well resolved in the source dataset. Precipitation fields are also highly elevation dependent, but precipitation has no systematic correlation with elevation, which inhibits statistical downscaling to work well. If refined component-wise, 20 km resolution model simulations can reproduce the SMB ablation observations almost as well as the finer-resolution model simulations. Nonetheless, statistical downscaling and regional climate modelling are complementary; the best results are obtained when high-resolution RACMO2 data are statistically refined. Model estimates in the accumulation zone do not benefit from statistical downscaling; hence, a resolution of about 20 km is sufficient to resolve the majority of the accumulation zone of the Greenland Ice Sheet with respect to the limited measurements we have. Furthermore, we demonstrate that using RACMO2, a hydrostatic model, at 2.2 km resolution led to invalid results as topographic and synoptic vertical winds exceed 10 m s −1 , which violates the hydrostatic model assumptions. Finally, additional tests show that model resolution is as important as properly resolving spatial albedo patterns, correctly initialising the firn column, and uncertainties in the modelled precipitation and turbulent exchange.
format Text
author Berg, Willem Jan
Meijgaard, Erik
Ulft, Lambertus H.
spellingShingle Berg, Willem Jan
Meijgaard, Erik
Ulft, Lambertus H.
The added value of high resolution in estimating the surface mass balance in southern Greenland
author_facet Berg, Willem Jan
Meijgaard, Erik
Ulft, Lambertus H.
author_sort Berg, Willem Jan
title The added value of high resolution in estimating the surface mass balance in southern Greenland
title_short The added value of high resolution in estimating the surface mass balance in southern Greenland
title_full The added value of high resolution in estimating the surface mass balance in southern Greenland
title_fullStr The added value of high resolution in estimating the surface mass balance in southern Greenland
title_full_unstemmed The added value of high resolution in estimating the surface mass balance in southern Greenland
title_sort added value of high resolution in estimating the surface mass balance in southern greenland
publishDate 2020
url https://doi.org/10.5194/tc-14-1809-2020
https://tc.copernicus.org/articles/14/1809/2020/
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-14-1809-2020
https://tc.copernicus.org/articles/14/1809/2020/
op_doi https://doi.org/10.5194/tc-14-1809-2020
container_title The Cryosphere
container_volume 14
container_issue 6
container_start_page 1809
op_container_end_page 1827
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