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contributor authorYanqiu Zhu
contributor authorRicardo Todling
contributor authorNathan Arnold
date accessioned2023-04-12T18:30:44Z
date available2023-04-12T18:30:44Z
date copyright2022/08/01
date issued2022
identifier otherMWR-D-21-0334.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289797
description abstractIn this study, we have assessed the effectiveness of the use of existing observing systems in the lower troposphere in the GEOS hybrid–4DEnVar data assimilation system through a set of observing system experiments. The results show that microwave radiances have a large impact in the Southern Hemisphere and tropical ocean, but the large influence is mostly observed above 925 hPa and dissipates relatively quickly with longer forecast lead times. Conventional data information holds better in the forecast ranging from the surface to 100 hPa, depending on the field evaluated, in the Northern Hemisphere and lowest model levels in the tropics. Infrared radiances collectively have much less impact in the lower troposphere. Removing surface observations has small but persistent impact on specific humidity in the upper atmosphere, but small or negligible impact on planetary boundary layer (PBL) height and temperature. The model responses to the incremental analysis update (IAU) forcing are also analyzed. In the IAU assimilation window, the physics responds strongly to the IAU forcing in the lower troposphere, and the changes of physics tendency in the lower troposphere and hydrodynamics tendency in the mid- and upper troposphere are viewed as beneficial to the reduction of state error covariance. In the subsequent forecast, the model tendencies continue to deviate further from the original free forecast with forecast lead times around 300–400 hPa, but physics tendency has showed signs of returning to its original free forecast mechanisms at 1-day forecast in the lower troposphere.
publisherAmerican Meteorological Society
titleObservation Impact and Information Retention in the Lower Troposphere of the GMAO GEOS Data Assimilation System
typeJournal Paper
journal volume150
journal issue8
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-21-0334.1
journal fristpage2187
journal lastpage2205
page2187–2205
treeMonthly Weather Review:;2022:;volume( 150 ):;issue: 008
contenttypeFulltext


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