Improvement of 6-15 Day Precipitation Forecasts Using a Time-Lagged Ensemble Method

A time-lagged ensemble method is used to improve 6-15 day precipitation forecasts from the Beijing Climate Center Atmospheric General Circulation Model,version 2.0.1.The approach averages the deterministic predictions of precipitation from the most recent model run and from earlier runs,all at the s...

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Published inAdvances in atmospheric sciences Vol. 31; no. 2; pp. 293 - 304
Main Authors Jie, Weihua, Wu, Tongwen, Wang, Jun, Li, Weijing, Liu, Xiangwen
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2014
Springer Nature B.V
Beijing Climate Center, China Meteorological Administration, Beijing 100081%Beijing Climate Center, China Meteorological Administration, Beijing 100081%Department of Earth and Atmospheric Sciences, University of Nebraska-Lincoln, NE 68588-0340, USA
University of Chinese Academy of Sciences, Beijing 100049
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Summary:A time-lagged ensemble method is used to improve 6-15 day precipitation forecasts from the Beijing Climate Center Atmospheric General Circulation Model,version 2.0.1.The approach averages the deterministic predictions of precipitation from the most recent model run and from earlier runs,all at the same forecast valid time.This lagged average forecast (LAF) method assigns equal weight to each ensemble member and produces a forecast by taking the ensemble mean.Our analyses of the Equitable Threat Score,the Hanssen and Kuipers Score,and the frequency bias indicate that the LAF using five members at time-lagged intervals of 6 h improves 6-15 day forecasts of precipitation frequency above 1 mm d-1 and 5 mm d-1 in many regions of China,and is more effective than the LAF method with selection of the time-lagged interval of 12 or 24 h between ensemble members.In particular,significant improvements are seen over regions where the frequencies of rainfall days are higher than about 40%-50% in the summer season; these regions include northeastern and central to southern China,and the southeastem Tibetan Plateau.
Bibliography:A time-lagged ensemble method is used to improve 6-15 day precipitation forecasts from the Beijing Climate Center Atmospheric General Circulation Model,version 2.0.1.The approach averages the deterministic predictions of precipitation from the most recent model run and from earlier runs,all at the same forecast valid time.This lagged average forecast (LAF) method assigns equal weight to each ensemble member and produces a forecast by taking the ensemble mean.Our analyses of the Equitable Threat Score,the Hanssen and Kuipers Score,and the frequency bias indicate that the LAF using five members at time-lagged intervals of 6 h improves 6-15 day forecasts of precipitation frequency above 1 mm d-1 and 5 mm d-1 in many regions of China,and is more effective than the LAF method with selection of the time-lagged interval of 12 or 24 h between ensemble members.In particular,significant improvements are seen over regions where the frequencies of rainfall days are higher than about 40%-50% in the summer season; these regions include northeastern and central to southern China,and the southeastem Tibetan Plateau.
time-lagged ensemble system; lagged average forecast; 6-15 day forecasts; precipitation
JIE Weihua, WU Tongwen, WANG Jun, LI Weijing, LIU Xiangwen( 1 University of Chinese Academy of Sciences, Beijing 100049 2 Beijing Climate Center, China Meteorological Administration, Beijing 100081 3Department of Earth and Atmospheric Sciences, University of Nebraska-Lincoln, NE 68588-0340, USA)
11-1925/O4
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0256-1530
1861-9533
DOI:10.1007/s00376-013-3037-8