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contributor authorManisha Ganeshan
contributor authorOreste Reale
contributor authorErica McGrath-Spangler
contributor authorNiama Boukachaba
date accessioned2023-04-12T18:28:52Z
date available2023-04-12T18:28:52Z
date copyright2022/07/01
date issued2022
identifier otherWAF-D-21-0068.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289739
description abstractPolar lows, and mesoscale convective cyclones bearing resemblance to tropical cyclones but originating outside of the tropics, are storms that are challenging to represent accurately in global analyses and models because of their small size, rapid growth at subsynoptic scales, occurrence in data poor oceanic regions, and difficulties in objectively validating them in analysis. Building on previous positive results obtained with respect to the representation of tropical cyclones (TCs) in a global model, a set of observing system experiments (OSEs) performed using the NASA Goddard Earth Observing System (GEOS, version 5) are investigated, focusing on three case studies—a polar low in the Sea of Okhotsk, a polar low in the Southern Ocean, and a Mediterranean Sea tropical-like cyclone that occurred during the boreal fall season of 2014. Experiments assimilating adaptively thinned cloud-cleared hyperspectral infrared radiances from the Atmospheric Infrared Sounder (AIRS) instrument on board the NASA
publisherAmerican Meteorological Society
titleImpact of Assimilating Adaptively Thinned AIRS Cloud-Cleared Radiances on the Analysis of Polar Lows and Mediterranean Sea Tropical-Like Cyclone in a Global Modeling and Data Assimilation Framework
typeJournal Paper
journal volume37
journal issue7
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-21-0068.1
journal fristpage1117
journal lastpage1134
page1117–1134
treeWeather and Forecasting:;2022:;volume( 037 ):;issue: 007
contenttypeFulltext


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