Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet

The modeling of ice sheets in Earth system models (ESMs) is an active area of research with applications to future sea level rise projections and paleoclimate studies. A major challenge for surface mass balance (SMB) modeling with ESMs arises from their coarse resolution. This paper evaluates the el...

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Published in:The Cryosphere
Main Authors: Sellevold, Raymond, Kampenhout, Leonardus, Lenaerts, Jan T. M., Noël, Brice, Lipscomb, William H., Vizcaino, Miren
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/tc-13-3193-2019
https://tc.copernicus.org/articles/13/3193/2019/
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spelling ftcopernicus:oai:publications.copernicus.org:tc76737 2023-05-15T16:27:17+02:00 Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet Sellevold, Raymond Kampenhout, Leonardus Lenaerts, Jan T. M. Noël, Brice Lipscomb, William H. Vizcaino, Miren 2019-12-04 application/pdf https://doi.org/10.5194/tc-13-3193-2019 https://tc.copernicus.org/articles/13/3193/2019/ eng eng doi:10.5194/tc-13-3193-2019 https://tc.copernicus.org/articles/13/3193/2019/ eISSN: 1994-0424 Text 2019 ftcopernicus https://doi.org/10.5194/tc-13-3193-2019 2020-07-20T16:22:33Z The modeling of ice sheets in Earth system models (ESMs) is an active area of research with applications to future sea level rise projections and paleoclimate studies. A major challenge for surface mass balance (SMB) modeling with ESMs arises from their coarse resolution. This paper evaluates the elevation class (EC) method as an SMB downscaling alternative to the dynamical downscaling of regional climate models. To this end, we compare EC-simulated elevation-dependent surface energy and mass balance gradients from the Community Earth System Model 1.0 (CESM1.0) with those from the regional climate model RACMO2.3. The EC implementation in CESM1.0 combines prognostic snow albedo, a multilayer snow model, and elevation corrections for two atmospheric forcing variables: temperature and humidity. Despite making no corrections for incoming radiation and precipitation, we find that the EC method in CESM1.0 yields similar SMB gradients to RACMO2.3, in part due to compensating biases in snowfall, surface melt, and refreezing gradients. We discuss the sensitivity of the results to the lapse rate used for the temperature correction. We also evaluate the impact of the EC method on the climate simulated by the ESM and find minor cooling over the Greenland ice sheet and Barents and Greenland seas, which compensates for a warm bias in the ESM due to topographic smoothing. Based on our diagnostic procedure to evaluate the EC method, we make several recommendations for future implementations. Text Greenland Ice Sheet Copernicus Publications: E-Journals Greenland The Cryosphere 13 12 3193 3208
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The modeling of ice sheets in Earth system models (ESMs) is an active area of research with applications to future sea level rise projections and paleoclimate studies. A major challenge for surface mass balance (SMB) modeling with ESMs arises from their coarse resolution. This paper evaluates the elevation class (EC) method as an SMB downscaling alternative to the dynamical downscaling of regional climate models. To this end, we compare EC-simulated elevation-dependent surface energy and mass balance gradients from the Community Earth System Model 1.0 (CESM1.0) with those from the regional climate model RACMO2.3. The EC implementation in CESM1.0 combines prognostic snow albedo, a multilayer snow model, and elevation corrections for two atmospheric forcing variables: temperature and humidity. Despite making no corrections for incoming radiation and precipitation, we find that the EC method in CESM1.0 yields similar SMB gradients to RACMO2.3, in part due to compensating biases in snowfall, surface melt, and refreezing gradients. We discuss the sensitivity of the results to the lapse rate used for the temperature correction. We also evaluate the impact of the EC method on the climate simulated by the ESM and find minor cooling over the Greenland ice sheet and Barents and Greenland seas, which compensates for a warm bias in the ESM due to topographic smoothing. Based on our diagnostic procedure to evaluate the EC method, we make several recommendations for future implementations.
format Text
author Sellevold, Raymond
Kampenhout, Leonardus
Lenaerts, Jan T. M.
Noël, Brice
Lipscomb, William H.
Vizcaino, Miren
spellingShingle Sellevold, Raymond
Kampenhout, Leonardus
Lenaerts, Jan T. M.
Noël, Brice
Lipscomb, William H.
Vizcaino, Miren
Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
author_facet Sellevold, Raymond
Kampenhout, Leonardus
Lenaerts, Jan T. M.
Noël, Brice
Lipscomb, William H.
Vizcaino, Miren
author_sort Sellevold, Raymond
title Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
title_short Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
title_full Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
title_fullStr Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
title_full_unstemmed Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
title_sort surface mass balance downscaling through elevation classes in an earth system model: application to the greenland ice sheet
publishDate 2019
url https://doi.org/10.5194/tc-13-3193-2019
https://tc.copernicus.org/articles/13/3193/2019/
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-13-3193-2019
https://tc.copernicus.org/articles/13/3193/2019/
op_doi https://doi.org/10.5194/tc-13-3193-2019
container_title The Cryosphere
container_volume 13
container_issue 12
container_start_page 3193
op_container_end_page 3208
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