Doppler Radar Data Assimilation in KMA’s Operational Forecasting

During 2001-03, the Mesoscale and Microscale Meteorology Division (MMM) at the National Center for Atmospheric Research (NCAR) partnered with the Korean Meteorological Administration (KMA) and Seoul National University (SNU) to use Doppler radar data in the MM5 with the Weather Research and Forecast...

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Published in:Bulletin of the American Meteorological Society 2008-01, Vol.89 (1), p.39-43
Main Authors: Xiao, Qingnong, Lim, Eunha, Won, Duk-Jin, Sun, Juanzhen, Lee, Wen-Chau, Lee, Mi-Seon, Lee, Woo-Jin, Cho, Joo-Young, Kuo, Ying-Hwa, Barker, Dale M., Lee, Dong-Kyou, Lee, Hee-Sang
Format: Article
Language:English
Subjects:
Advantages
Atmospheric research
Case studies
Data assimilation
Data collection
Data processing
Doppler radar
Experiments
IN BOX INSIGHTS and INNOVATIONS
Kalman filters
Meteorology
Radar
Radar data
Radar tracking
Radial velocity
Rain
Statistical weather forecasting
Variables
Velocity
Weather
Weather forecasting
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container_issue 1
container_start_page 39
container_title Bulletin of the American Meteorological Society
container_volume 89
creator Xiao, Qingnong
Lim, Eunha
Won, Duk-Jin
Sun, Juanzhen
Lee, Wen-Chau
Lee, Mi-Seon
Lee, Woo-Jin
Cho, Joo-Young
Kuo, Ying-Hwa
Barker, Dale M.
Lee, Dong-Kyou
Lee, Hee-Sang
description During 2001-03, the Mesoscale and Microscale Meteorology Division (MMM) at the National Center for Atmospheric Research (NCAR) partnered with the Korean Meteorological Administration (KMA) and Seoul National University (SNU) to use Doppler radar data in the MM5 with the Weather Research and Forecasting (WRF) 3-dimensional variational (3D-Var) data-assimilation system. Along with developing algorithms for Doppler radar data assimilation in WRF 3D-Var, we conducted several case studies to evaluate their capability by assimilating radial velocity and both radial velocity and reflectivity. Since the operational forecast in 2006 regularly included assimilation of Doppler radar data from four stations, the improved scores for 2006 are probably an indication of the positive impacts of radar data assimilation on the rainfall forecasts.
doi_str_mv 10.1175/BAMS-89-1-39
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subjects Advantages
Atmospheric research
Case studies
Data assimilation
Data collection
Data processing
Doppler radar
Experiments
IN BOX INSIGHTS and INNOVATIONS
Kalman filters
Meteorology
Radar
Radar data
Radar tracking
Radial velocity
Rain
Statistical weather forecasting
Variables
Velocity
Weather
Weather forecasting
title Doppler Radar Data Assimilation in KMA’s Operational Forecasting
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