evaluation of greenland near surface air temperature datasets
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2017
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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.
| Reference Key |
eyre2017theevaluation
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| Authors | ;J. E. J. Reeves Eyre;X. Zeng |
| Journal | journal of applied polymer science |
| Year | 2017 |
| DOI |
10.5194/tc-11-1591-2017
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| URL | |
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