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contributor authorSmith, Travis M.
contributor authorGao, Jidong
contributor authorCalhoun, Kristin M.
contributor authorStensrud, David J.
contributor authorManross, Kevin L.
contributor authorOrtega, Kiel L.
contributor authorFu, Chenghao
contributor authorKingfield, Darrel M.
contributor authorElmore, Kimberly L.
contributor authorLakshmanan, Valliappa
contributor authorRiedel, Christopher
date accessioned2017-06-09T17:36:19Z
date available2017-06-09T17:36:19Z
date copyright2014/02/01
date issued2013
identifier issn0882-8156
identifier otherams-87946.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231671
description abstractorecasters and research meteorologists tested a real-time three-dimensional variational data assimilation (3DVAR) system in the Hazardous Weather Testbed during the springs of 2010?12 to determine its capabilities to assist in the warning process for severe storms. This storm-scale system updates a dynamically consistent three-dimensional wind field every 5 min, with horizontal and average vertical grid spacings of 1 km and 400 m, respectively. The system analyzed the life cycles of 218 supercell thunderstorms on 27 event days during these experiments, producing multiple products such as vertical velocity, vertical vorticity, and updraft helicity. These data are compared to multiradar?multisensor data from the Warning Decision Support System?Integrated Information to document the performance characteristics of the system, such as how vertical vorticity values compare to azimuthal shear fields calculated directly from Doppler radial velocity. Data are stratified by range from the nearest radar, as well as by the number of radars entering into the analysis of a particular storm. The 3DVAR system shows physically realistic trends of updraft speed and vertical vorticity for a majority of cases. Improvements are needed to better estimate the near-surface winds when no radar is nearby and to improve the timeliness of the input data. However, the 3DVAR wind field information provides an integrated look at storm structure that may be of more use to forecasters than traditional radar-based proxies used to infer severe weather potential.
publisherAmerican Meteorological Society
titleExamination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed
typeJournal Paper
journal volume29
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-13-00044.1
journal fristpage63
journal lastpage77
treeWeather and Forecasting:;2013:;volume( 029 ):;issue: 001
contenttypeFulltext


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