The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland

Increasing atmospheric temperatures over ice cover affect surface processes, including melt, snowfall, and snow density. Here, we present the Surface Mass Balance and Snow on Sea Ice Working Group (SUMup) dataset, a standardized dataset of Arctic and Antarctic observations of surface mass balance co...

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Main Authors: Alexander, Patrick, Montgomery, Lynn, Koenig, Lora
Format: Other/Unknown Material
Language:unknown
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/2060/20180007574
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20180007574 2023-05-15T13:37:20+02:00 The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland Alexander, Patrick Montgomery, Lynn Koenig, Lora Unclassified, Unlimited, Publicly available October 23, 2018 application/pdf http://hdl.handle.net/2060/20180007574 unknown Document ID: 20180007574 http://hdl.handle.net/2060/20180007574 Copyright, Use by or on behalf of the U.S. Government permitted CASI Meteorology and Climatology GSFC-E-DAA-TN62492 Earth System Science Data (ISSN 1866-3508) (e-ISSN 1866-3516); 10; 4; 1959-1985 2018 ftnasantrs 2019-07-20T23:09:04Z Increasing atmospheric temperatures over ice cover affect surface processes, including melt, snowfall, and snow density. Here, we present the Surface Mass Balance and Snow on Sea Ice Working Group (SUMup) dataset, a standardized dataset of Arctic and Antarctic observations of surface mass balance components. The July 2018 SUMup dataset consists of three subdatasets, snow/firn density (https://doi.org/10.18739/A2JH3D23R), at least near-annually resolved snow accumulation on land ice (https://doi.org/10.18739/A2DR2P790), and snow depth on sea ice (https://doi.org/10.18739/A2WS8HK6X), to monitor change and improve estimates of surface mass balance. The measurements in this dataset were compiled from field notes, papers, technical reports, and digital files. SUMup is a compiled, community-based dataset that can be and has been used to evaluate modeling efforts and remote sensing retrievals. Active submission of new or past measurements is encouraged. Analysis of the dataset shows that Greenland Ice Sheet density measurements in the top 1m do not show a strong relationship with annual temperature. At Summit Station, Greenland, accumulation and surface density measurements vary seasonally with lower values during summer months. The SUMup dataset is a dynamic, living dataset that will be updated and expanded for community use as new measurements are taken and new processes are discovered and quantified. Other/Unknown Material Antarc* Antarctic Arctic Greenland Ice Sheet Sea ice NASA Technical Reports Server (NTRS) Antarctic Arctic Greenland
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Meteorology and Climatology
spellingShingle Meteorology and Climatology
Alexander, Patrick
Montgomery, Lynn
Koenig, Lora
The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
topic_facet Meteorology and Climatology
description Increasing atmospheric temperatures over ice cover affect surface processes, including melt, snowfall, and snow density. Here, we present the Surface Mass Balance and Snow on Sea Ice Working Group (SUMup) dataset, a standardized dataset of Arctic and Antarctic observations of surface mass balance components. The July 2018 SUMup dataset consists of three subdatasets, snow/firn density (https://doi.org/10.18739/A2JH3D23R), at least near-annually resolved snow accumulation on land ice (https://doi.org/10.18739/A2DR2P790), and snow depth on sea ice (https://doi.org/10.18739/A2WS8HK6X), to monitor change and improve estimates of surface mass balance. The measurements in this dataset were compiled from field notes, papers, technical reports, and digital files. SUMup is a compiled, community-based dataset that can be and has been used to evaluate modeling efforts and remote sensing retrievals. Active submission of new or past measurements is encouraged. Analysis of the dataset shows that Greenland Ice Sheet density measurements in the top 1m do not show a strong relationship with annual temperature. At Summit Station, Greenland, accumulation and surface density measurements vary seasonally with lower values during summer months. The SUMup dataset is a dynamic, living dataset that will be updated and expanded for community use as new measurements are taken and new processes are discovered and quantified.
format Other/Unknown Material
author Alexander, Patrick
Montgomery, Lynn
Koenig, Lora
author_facet Alexander, Patrick
Montgomery, Lynn
Koenig, Lora
author_sort Alexander, Patrick
title The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
title_short The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
title_full The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
title_fullStr The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
title_full_unstemmed The SUMup Dataset: Compiled Measurements of Surface Mass Balance Components over Ice Sheets and Sea Ice with Analysis over Greenland
title_sort sumup dataset: compiled measurements of surface mass balance components over ice sheets and sea ice with analysis over greenland
publishDate 2018
url http://hdl.handle.net/2060/20180007574
op_coverage Unclassified, Unlimited, Publicly available
geographic Antarctic
Arctic
Greenland
geographic_facet Antarctic
Arctic
Greenland
genre Antarc*
Antarctic
Arctic
Greenland
Ice Sheet
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Greenland
Ice Sheet
Sea ice
op_source CASI
op_relation Document ID: 20180007574
http://hdl.handle.net/2060/20180007574
op_rights Copyright, Use by or on behalf of the U.S. Government permitted
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