Evaluation of Greenland near surface air temperature datasets

Near-surface air temperature (SAT) over Greenland has important effects on mass balance of the ice sheet, but it is unclear which SAT datasets are reliable in the region. Here extensive in situ SAT measurements ( ∼ 1400 station-years) are used to assess monthly mean SAT from seven global reanalysis...

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Published in:The Cryosphere
Main Authors: Reeves Eyre, J. E. Jack, Zeng, Xubin
Other Authors: Univ Arizona, Dept Hydrol & Atmospher Sci
Format: Article in Journal/Newspaper
Language:English
Published: COPERNICUS GESELLSCHAFT MBH 2017
Subjects:
Online Access:http://hdl.handle.net/10150/625058
https://doi.org/10.5194/tc-11-1591-2017
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spelling ftunivarizona:oai:repository.arizona.edu:10150/625058 2023-05-15T16:27:59+02:00 Evaluation of Greenland near surface air temperature datasets Reeves Eyre, J. E. Jack Zeng, Xubin Univ Arizona, Dept Hydrol & Atmospher Sci 2017-07-05 http://hdl.handle.net/10150/625058 https://doi.org/10.5194/tc-11-1591-2017 en eng COPERNICUS GESELLSCHAFT MBH https://www.the-cryosphere.net/11/1591/2017/ Evaluation of Greenland near surface air temperature datasets 2017, 11 (4):1591 The Cryosphere 1994-0424 doi:10.5194/tc-11-1591-2017 http://hdl.handle.net/10150/625058 The Cryosphere © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. CC-BY Article 2017 ftunivarizona https://doi.org/10.5194/tc-11-1591-2017 2020-06-14T08:15:44Z Near-surface air temperature (SAT) over Greenland has important effects on mass balance of the ice sheet, but it is unclear which SAT datasets are reliable in the region. Here extensive in situ SAT measurements ( ∼ 1400 station-years) are used to assess monthly mean SAT from seven global reanalysis datasets, five gridded SAT analyses, one satellite retrieval and three dynamically downscaled reanalyses. Strengths and weaknesses of these products are identified, and their biases are found to vary by season and glaciological regime. MERRA2 reanalysis overall performs best with mean absolute error less than 2 °C in all months. Ice sheet-average annual mean SAT from different datasets are highly correlated in recent decades, but their 1901–2000 trends differ even in sign. Compared with the MERRA2 climatology combined with gridded SAT analysis anomalies, thirty-one earth system model historical runs from the CMIP5 archive reach ∼ 5 °C for the 1901–2000 average bias and have opposite trends for a number of sub-periods. NASA [NNX14AM02G]; DOE [DE-SC0016533]; Agnese Nelms Haury Program in Environment and Social Justice Open Access Journal. This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere The University of Arizona: UA Campus Repository Agnese ENVELOPE(-58.527,-58.527,-61.967,-61.967) Greenland The Cryosphere 11 4 1591 1605
institution Open Polar
collection The University of Arizona: UA Campus Repository
op_collection_id ftunivarizona
language English
description Near-surface air temperature (SAT) over Greenland has important effects on mass balance of the ice sheet, but it is unclear which SAT datasets are reliable in the region. Here extensive in situ SAT measurements ( ∼ 1400 station-years) are used to assess monthly mean SAT from seven global reanalysis datasets, five gridded SAT analyses, one satellite retrieval and three dynamically downscaled reanalyses. Strengths and weaknesses of these products are identified, and their biases are found to vary by season and glaciological regime. MERRA2 reanalysis overall performs best with mean absolute error less than 2 °C in all months. Ice sheet-average annual mean SAT from different datasets are highly correlated in recent decades, but their 1901–2000 trends differ even in sign. Compared with the MERRA2 climatology combined with gridded SAT analysis anomalies, thirty-one earth system model historical runs from the CMIP5 archive reach ∼ 5 °C for the 1901–2000 average bias and have opposite trends for a number of sub-periods. NASA [NNX14AM02G]; DOE [DE-SC0016533]; Agnese Nelms Haury Program in Environment and Social Justice Open Access Journal. This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
author2 Univ Arizona, Dept Hydrol & Atmospher Sci
format Article in Journal/Newspaper
author Reeves Eyre, J. E. Jack
Zeng, Xubin
spellingShingle Reeves Eyre, J. E. Jack
Zeng, Xubin
Evaluation of Greenland near surface air temperature datasets
author_facet Reeves Eyre, J. E. Jack
Zeng, Xubin
author_sort Reeves Eyre, J. E. Jack
title Evaluation of Greenland near surface air temperature datasets
title_short Evaluation of Greenland near surface air temperature datasets
title_full Evaluation of Greenland near surface air temperature datasets
title_fullStr Evaluation of Greenland near surface air temperature datasets
title_full_unstemmed Evaluation of Greenland near surface air temperature datasets
title_sort evaluation of greenland near surface air temperature datasets
publisher COPERNICUS GESELLSCHAFT MBH
publishDate 2017
url http://hdl.handle.net/10150/625058
https://doi.org/10.5194/tc-11-1591-2017
long_lat ENVELOPE(-58.527,-58.527,-61.967,-61.967)
geographic Agnese
Greenland
geographic_facet Agnese
Greenland
genre Greenland
Ice Sheet
The Cryosphere
genre_facet Greenland
Ice Sheet
The Cryosphere
op_relation https://www.the-cryosphere.net/11/1591/2017/
Evaluation of Greenland near surface air temperature datasets 2017, 11 (4):1591 The Cryosphere
1994-0424
doi:10.5194/tc-11-1591-2017
http://hdl.handle.net/10150/625058
The Cryosphere
op_rights © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/tc-11-1591-2017
container_title The Cryosphere
container_volume 11
container_issue 4
container_start_page 1591
op_container_end_page 1605
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