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contributor authorSippel, Jason A.
contributor authorBraun, Scott A.
contributor authorZhang, Fuqing
contributor authorWeng, Yonghui
date accessioned2017-06-09T17:30:23Z
date available2017-06-09T17:30:23Z
date copyright2013/08/01
date issued2013
identifier issn0027-0644
identifier otherams-86419.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229975
description abstracthis study utilizes ensemble Kalman filter (EnKF) observing system simulation experiments (OSSEs) to analyze the potential impact of assimilating radial velocity observations of hurricanes from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP). HIWRAP is a new Doppler radar mounted on the NASA Global Hawk unmanned airborne system that flies at roughly 19-km altitude and has the benefit of a 25?30-h flight duration, which is 2?3 times that of conventional aircraft. This research is intended as a proof-of-concept study for future assimilation of real HIWRAP data. The most important result from this research is that HIWRAP data can potentially improve hurricane analyses and prediction. For example, by the end of a 12-h assimilation period, the analysis error is much lower than that in deterministic forecasts. As a result, subsequent forecasts initialized with the EnKF analyses also improve. Furthermore, analyses and forecasts clearly benefit more from a 12-h assimilation period than for shorter periods, which highlights a benefit of the Global Hawk's potentially long on-station times.
publisherAmerican Meteorological Society
titleEnsemble Kalman Filter Assimilation of Simulated HIWRAP Doppler Velocity Data in a Hurricane
typeJournal Paper
journal volume141
journal issue8
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-12-00157.1
journal fristpage2683
journal lastpage2704
treeMonthly Weather Review:;2013:;volume( 141 ):;issue: 008
contenttypeFulltext


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