Affiliation
Univ Arizona, Dept Hydrol & Atmospher SciIssue Date
2017-07-05
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COPERNICUS GESELLSCHAFT MBHCitation
Evaluation of Greenland near surface air temperature datasets 2017, 11 (4):1591 The CryosphereJournal
The CryosphereRights
© Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.Collection Information
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.Abstract
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.Note
Open Access Journal.ISSN
1994-0424Version
Final published versionSponsors
NASA [NNX14AM02G]; DOE [DE-SC0016533]; Agnese Nelms Haury Program in Environment and Social JusticeAdditional Links
https://www.the-cryosphere.net/11/1591/2017/ae974a485f413a2113503eed53cd6c53
10.5194/tc-11-1591-2017
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Except where otherwise noted, this item's license is described as © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.