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Simulation of Late Summer Arctic Clouds during ASCOS with Polar WRF
2017 (Engelska)Ingår i: Monthly Weather Review, ISSN 0027-0644, E-ISSN 1520-0493, Vol. 145, nr 2, s. 521-541Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Low-level clouds are extensive in the Arctic and contribute to inadequately understood feedbacks within the changing regional climate. The simulation of low-level clouds, including mixed-phase clouds, over the Arctic Ocean during summer and autumn remains a challenge for both real-time weather forecasts and climate models. Here, improved cloud representations are sought with high-resolution mesoscale simulations of the August-September 2008 Arctic Summer Cloud Ocean Study (ASCOS) with the latest polar-optimized version (3.7.1) of the Weather Research and Forecasting (Polar WRF) Model with the advanced two-moment Morrison microphysics scheme. Simulations across several synoptic regimes for 10 August-3 September 2008 are performed with three domains including an outer domain at 27-km grid spacing and nested domains at 9- and 3-km spacing. These are realistic horizontal grid spacings for common mesoscale applications. The control simulation produces excessive cloud liquid water in low clouds resulting in a large deficit in modeled incident shortwave radiation at the surface. Incident longwave radiation is less sensitive. A change in the sea ice albedo toward the larger observed values during ASCOS resulted in somewhat more realistic simulations. More importantly, sensitivity tests show that a reduction in specified liquid cloud droplet number to very pristine conditions increases liquid precipitation, greatly reduces the excess in simulated low-level cloud liquid water, and improves the simulated incident shortwave and longwave radiation at the surface.

Ort, förlag, år, upplaga, sidor
2017. Vol. 145, nr 2, s. 521-541
Nationell ämneskategori
Geovetenskap och miljövetenskap
Forskningsämne
SWEDARCTIC 2008, ASCOS
Identifikatorer
URN: urn:nbn:se:polar:diva-3384DOI: 10.1175/MWR-D-16-0079.1OAI: oai:DiVA.org:polar-3384DiVA, id: diva2:1075193
Tillgänglig från: 2017-02-17 Skapad: 2017-02-17 Senast uppdaterad: 2017-11-29Bibliografiskt granskad

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