Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models

Abstract Since the year 2000, Greenland ice sheet mass loss has been dominated by a decrease in surface mass balance rather than an increase in solid ice discharge. Southeast Greenland is an important region to understand how high accumulation rates can offset increasing Greenland ice sheet meltwate...

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Published in:Annals of Glaciology
Main Authors: Montgomery, Lynn, Koenig, Lora, Lenaerts, Jan T. M., Kuipers Munneke, Peter
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2020
Subjects:
Online Access:http://dx.doi.org/10.1017/aog.2020.8
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000087
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spelling crcambridgeupr:10.1017/aog.2020.8 2024-06-09T07:38:29+00:00 Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models Montgomery, Lynn Koenig, Lora Lenaerts, Jan T. M. Kuipers Munneke, Peter 2020 http://dx.doi.org/10.1017/aog.2020.8 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000087 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Annals of Glaciology volume 61, issue 81, page 225-233 ISSN 0260-3055 1727-5644 journal-article 2020 crcambridgeupr https://doi.org/10.1017/aog.2020.8 2024-05-15T13:01:47Z Abstract Since the year 2000, Greenland ice sheet mass loss has been dominated by a decrease in surface mass balance rather than an increase in solid ice discharge. Southeast Greenland is an important region to understand how high accumulation rates can offset increasing Greenland ice sheet meltwater runoff. To that end, we derive a new 9-year long dataset (2009–17) of accumulation rates in Southeast Greenland using NASA Operation IceBridge snow radar. Our accumulation dataset derived from internal layers focuses on high elevations (1500–3000 m) because at lower elevations meltwater percolation obscured internal layer structure. The uncertainty of the radar-derived accumulation rates is 11% [using Firn Densification Model (FDM) density profiles] and the average accumulation rate ranges from 0.5 to 1.2 m w.e. With our observations spanning almost a decade, we find large inter-annual variability, but no significant trend. Accumulation rates are compared with output from two regional climate models (RCMs), MAR and RACMO2. This comparison shows that the models are underestimating accumulation in Southeast Greenland and the models misrepresent spatial heterogeneity due to an orographically forced bias in snowfall near the coast. Our dataset is useful to fill in temporal and spatial data gaps, and to evaluate RCMs where few in situ measurements are available. Article in Journal/Newspaper Annals of Glaciology Greenland Ice Sheet Cambridge University Press Greenland Annals of Glaciology 61 81 225 233
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract Since the year 2000, Greenland ice sheet mass loss has been dominated by a decrease in surface mass balance rather than an increase in solid ice discharge. Southeast Greenland is an important region to understand how high accumulation rates can offset increasing Greenland ice sheet meltwater runoff. To that end, we derive a new 9-year long dataset (2009–17) of accumulation rates in Southeast Greenland using NASA Operation IceBridge snow radar. Our accumulation dataset derived from internal layers focuses on high elevations (1500–3000 m) because at lower elevations meltwater percolation obscured internal layer structure. The uncertainty of the radar-derived accumulation rates is 11% [using Firn Densification Model (FDM) density profiles] and the average accumulation rate ranges from 0.5 to 1.2 m w.e. With our observations spanning almost a decade, we find large inter-annual variability, but no significant trend. Accumulation rates are compared with output from two regional climate models (RCMs), MAR and RACMO2. This comparison shows that the models are underestimating accumulation in Southeast Greenland and the models misrepresent spatial heterogeneity due to an orographically forced bias in snowfall near the coast. Our dataset is useful to fill in temporal and spatial data gaps, and to evaluate RCMs where few in situ measurements are available.
format Article in Journal/Newspaper
author Montgomery, Lynn
Koenig, Lora
Lenaerts, Jan T. M.
Kuipers Munneke, Peter
spellingShingle Montgomery, Lynn
Koenig, Lora
Lenaerts, Jan T. M.
Kuipers Munneke, Peter
Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
author_facet Montgomery, Lynn
Koenig, Lora
Lenaerts, Jan T. M.
Kuipers Munneke, Peter
author_sort Montgomery, Lynn
title Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
title_short Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
title_full Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
title_fullStr Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
title_full_unstemmed Accumulation rates (2009–2017) in Southeast Greenland derived from airborne snow radar and comparison with regional climate models
title_sort accumulation rates (2009–2017) in southeast greenland derived from airborne snow radar and comparison with regional climate models
publisher Cambridge University Press (CUP)
publishDate 2020
url http://dx.doi.org/10.1017/aog.2020.8
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305520000087
geographic Greenland
geographic_facet Greenland
genre Annals of Glaciology
Greenland
Ice Sheet
genre_facet Annals of Glaciology
Greenland
Ice Sheet
op_source Annals of Glaciology
volume 61, issue 81, page 225-233
ISSN 0260-3055 1727-5644
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/aog.2020.8
container_title Annals of Glaciology
container_volume 61
container_issue 81
container_start_page 225
op_container_end_page 233
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