A Study of Two Propagating Heavy-Rainfall Episodes near Taiwan during SoWMEX/TiMREX IOP-8 in June 2008. Part II: Sensitivity Tests on the Roles of Synoptic Conditions and Topographic Effects

This study is the second of a two-part series to investigate two rainfall episodes in the Hovmoller space near Taiwan during the eighth intensive observing period (IOP-8, 1217 June 2008) of the Southwest Monsoon Experiment/Terrain-influenced Monsoon Rainfall Experiment (SoWMEX/TiMREX). The first epi...

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Bibliographic Details
Published in:Monthly weather review 2014-08, Vol.142 (8), p.2644-2664
Main Authors: Wang, Chung-Chieh, Chieh-Sheng Hsu, Jason, Tai-Jen Chen, George, Lee, Dong-In
Format: Article
Language:English
Subjects:
Benchmarking
Climate
Climatology
Convective development
Cytotoxicity
Distribution
Diurnal cycle
Diurnal variations
Evolution
Grants
Heavy rainfall
Lymphocytes T
Meteorology
Monsoon rainfall
Monsoons
Precipitation
Propagation
Rain
Rainfall
Rainfall distribution
Roles
Sensitivity
Simulation
Single-nucleotide polymorphism
Southwest monsoon
Studies
Synoptic conditions
Terrain
Terrain effects
Topographic effects
Topography
Warm seasons
Weather
Wind
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Summary:This study is the second of a two-part series to investigate two rainfall episodes in the Hovmoller space near Taiwan during the eighth intensive observing period (IOP-8, 1217 June 2008) of the Southwest Monsoon Experiment/Terrain-influenced Monsoon Rainfall Experiment (SoWMEX/TiMREX). The first episode moved eastward and the second westward, and both caused heavy rainfall in Taiwan. The goal of Part I was to better understand the mechanism and controlling factors for the organization and propagation of the episodes. Here in Part II, the detailed roles played by synoptic conditions and terrain effects are further examined. Three sensitivity tests (at 2.5-km grid spacing) are designed to include only the effects of synoptic evolution (SNP), and those from landsea distributiondiurnal variations on top of a mean background with/without topography (DIU/DNT). As the benchmark, the control (CTL) experiment captures the 6-day event successfully and is validated in Part I.
ISSN:0027-0644
1520-0493
DOI:10.1175/MWR-D-13-00330.1