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- Title
Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting-Research Environment.
- Authors
Kain, John S.; Xue, Ming; Coniglio, Michael C.; Weiss, Steven J.; Kong, Fanyou; Jensen, Tara L.; Brown, Barbara G.; Gao, Jidong; Brewster, Keith; Thomas, Kevin W.; Wang, Yunheng; Schwartz, Craig S.; Levit, Jason J.
- Abstract
The impacts of assimilating radar data and other mesoscale observations in real-time, convection-allowing model forecasts were evaluated during the spring seasons of 2008 and 2009 as part of the Hazardous Weather Test Bed Spring Experiment activities. In tests of a prototype continental U.S.-scale forecast system, focusing primarily on regions with active deep convection at the initial time, assimilation of these observations had a positive impact. Daily interrogation of output by teams of modelers, forecasters, and verification experts provided additional insights into the value-added characteristics of the unique assimilation forecasts. This evaluation revealed that the positive effects of the assimilation were greatest during the first 3-6 h of each forecast, appeared to be most pronounced with larger convective systems, and may have been related to a phase lag that sometimes developed when the convective-scale information was not assimilated. These preliminary results are currently being evaluated further using advanced objective verification techniques.
- Subjects
UNITED States; RADAR meteorology; WEATHER forecasting; CONVECTION (Meteorology); METEOROLOGICAL observations; METEOROLOGY; DATA analysis; DOPPLER radar
- Publication
Weather & Forecasting, 2010, Vol 25, Issue 5, p1510
- ISSN
0882-8156
- Publication type
Article
- DOI
10.1175/2010WAF2222405.1