Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research EnvironmentSource: Weather and Forecasting:;2010:;volume( 025 ):;issue: 005::page 1510Author: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.
DOI: 10.1175/2010WAF2222405.1Publisher: American Meteorological Society
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.
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contributor author | Kain, John S. | |
contributor author | Xue, Ming | |
contributor author | Coniglio, Michael C. | |
contributor author | Weiss, Steven J. | |
contributor author | Kong, Fanyou | |
contributor author | Jensen, Tara L. | |
contributor author | Brown, Barbara G. | |
contributor author | Gao, Jidong | |
contributor author | Brewster, Keith | |
contributor author | Thomas, Kevin W. | |
contributor author | Wang, Yunheng | |
contributor author | Schwartz, Craig S. | |
contributor author | Levit, Jason J. | |
date accessioned | 2017-06-09T16:38:46Z | |
date available | 2017-06-09T16:38:46Z | |
date copyright | 2010/10/01 | |
date issued | 2010 | |
identifier issn | 0882-8156 | |
identifier other | ams-71497.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4213395 | |
description 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. | |
publisher | American Meteorological Society | |
title | Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 5 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/2010WAF2222405.1 | |
journal fristpage | 1510 | |
journal lastpage | 1521 | |
tree | Weather and Forecasting:;2010:;volume( 025 ):;issue: 005 | |
contenttype | Fulltext |