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The Arctic summer atmosphere: an evaluation of reanalyses using ASCOS data
Stockholm Univ, Dept Meteorol, S-10691 Stockholm, Sweden.;Stockholm Univ, Bert Bolin Ctr Climate Res, S-10691 Stockholm, Sweden..
Stockholm Univ, Dept Meteorol, S-10691 Stockholm, Sweden.;Stockholm Univ, Bert Bolin Ctr Climate Res, S-10691 Stockholm, Sweden..
Ohio State Univ, Dept Geog, Atmospher Sci Program, Columbus, OH 43210 USA.;Ohio State Univ, Byrd Polar Res Ctr, Polar Meteorol Grp, Columbus, OH 43210 USA..
Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA.;NOAA, Earth Syst Res Lab, Boulder, CO USA..
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2014 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 14, no 5, 2605-2624 p.Article in journal (Refereed) Published
Abstract [en]

The Arctic has experienced large climate changes over recent decades, the largest for any region on Earth. To understand the underlying reasons for this climate sensitivity, reanalysis is an invaluable tool. The Arctic System Reanalysis (ASR) is a regional reanalysis, forced by ERA-Interim at the lateral boundaries and incorporating model physics adapted to Arctic conditions, developed to serve as a state-of-the-art, high-resolution synthesis tool for assessing Arctic climate variability and monitoring Arctic climate change. We use data from Arctic Summer Cloud-Ocean Study (ASCOS) to evaluate the performance of ASR and ERAInterim for the Arctic Ocean. The ASCOS field experiment was deployed on the Swedish icebreaker Oden north of 87 degrees N in the Atlantic sector of the Arctic during August and early September 2008. Data were collected during the transits from and to Longyearbyen and the 3-week ice drift with Oden moored to a drifting multiyear ice floe. These data are independent and detailed enough to evaluate process descriptions. The reanalyses captures basic meteorological variations coupled to the synoptic-scale systems, but have difficulties in estimating clouds and atmospheric moisture. While ERAInterim has a systematic warm bias in the lowest troposphere, ASR has a cold bias of about the same magnitude on average. The results also indicate that more sophisticated descriptions of cloud microphysics in ASR did not significantly improve the modeling of cloud properties compared to ERA-Interim. This has consequences for the radiation balance, and hence the surface temperature, and illustrate how a modeling problem in one aspect of the atmosphere, here the clouds, feeds back to other parameters, especially near the surface and in the boundary layer.

Place, publisher, year, edition, pages
2014. Vol. 14, no 5, 2605-2624 p.
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Natural Sciences
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SWEDARCTIC 2008, ASCOS
Identifiers
URN: urn:nbn:se:polar:diva-2344DOI: 10.5194/acp-14-2605-2014ISI: 000334104200026OAI: oai:DiVA.org:polar-2344DiVA: diva2:858525
Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2016-11-21

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