THE STUDY OF MULTI-SOURCE DATA CYCLING ASSIMILATION USING GSI-3DVAR IN TRAMI TYPHOON FORECAST
DONG Hai-ping
YUAN Bing
LUO Yu
Abstract：The assimilation of multi-source data and its impact on the prediction of tropical cyclone Trami (2013) is discussed in the GSI system.The conventional observations,satellite data and radar data are assimilated respectively and the results are compared.It reveals that the assimilation of conventional observations greatly improves the TC track forecast.The assimilation of satellite data shows positive impact on the prediction of TC track before its landing,while the assimilation of radar data improves the prediction of TC track after its landing.It proves that the assimilation of multi-source data presents the best TC track forecast.The TC initialization based on BOGUS and the cycle assimilation are also discussed and their respective impact on TC prediction is also investigated.It shows that BOGUS initialization can adjust the location and intensity of initial vortex according to the observed data and thus improve the TC forecast.The cycling assimilation,which has a 6 h cycle period,is proved to have positive impact on the TC forecast by effectively assimilating more data.
Keywords：multi-source dataGSI-3Dvartyphoon forecastBOGUS initializationcycling assimilation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 433-441 )