Show simple item record

dc.contributor.authorManisha Ganeshan
dc.contributor.authorOreste Reale
dc.contributor.authorErica McGrath-Spangler
dc.contributor.authorNiama Boukachaba
dc.date.accessioned2023-04-12T18:28:52Z
dc.date.available2023-04-12T18:28:52Z
dc.date.copyright2022/07/01
dc.date.issued2022
dc.identifier.otherWAF-D-21-0068.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289739
dc.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
dc.publisherAmerican Meteorological Society
dc.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
dc.typeJournal Paper
dc.journal.volume37
dc.journal.issue7
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-21-0068.1
dc.journal.fristpage1117
dc.journal.lastpage1134
dc.page1117–1134
dc.treeWeather and Forecasting:;2022:;volume( 037 ):;issue: 007
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record