Abstract:
In the present study the Advanced Research WRF (ARW) model v3.8.1 have been used to
simulate the convective and non-convective rain during 3-5 July 2017, 19-20 July 2017 and
23-24 July 2017, when heavy rain observed in different areas of Bangladesh. The initial and
boundary conditions are drawn from the global operational analysis and forecast products of
National Center for Environmental Prediction (NCEP) Final reanalysis (FNL) data available
at 1o ×1o resolution. The model was configured in nested domain with 18 km and 6 km
horizontal grid spacing 100×96 and 103×127 grids in the east-west and north-south directions
with 28 vertical levels. In this research 12 Cumulus parameterization (CP) schemes in
combination with WDM6 microphysics (MP) scheme has been used to identify the
convective and non-convective rain of different heavy rainfall (HR) events. The CP schemes
used in this research are Kain-Fritsch (KF), Betts-Miller-Janjic (BMJ), Grell-Freitas (GF),
Old simplified Arakawa-Schubert (OSAS), Grell-3 (G3), Tiedtke, Zhang-McFarlane (ZM),
Multi-scale KF (MSKF), New SAS, New Tiedtke (NTD), New SAS-HWRF (NSH) and
Grell-Devenyi (GD).
The model simulated rainfall mainly convective for KF, GF, OSAS, G-3, TD, ZM, NTD,
NSH and schemes and mainly non-convective for BMJ, MSKF and NS schemes during all
over Bangladesh during 3-5 July 2017. BMJ, MSKF and NS schemes have simulated higher
non convective rain (NCR) and all other cumulus parameterization schemes have simulated
higher convective rain (CR) all over Bangladesh during 19-20 July 2017. OSAS and NSH
schemes have simulated higher convective rain and all other cumulus parameterization
schemes have simulated higher non-convective rain all over Bangladesh during 23-24 July
2017. It is also seen that during the two simulation periods (i.e., 3-5 and 23-24 July 2017) the
CR is found to decrease continuously and NCR increased during the period and opposite in
case of 19-20 July 2017. GF and G-3, GF and MSKF schemes give the better performance for
daily and 48 hour prediction respectively on the basis of Threat Score, Equivalent Threat
Score and Bias Score during 3-5 July 2017. On the basis of Threat Score, Equitable Threat
Score and Bias Score for the prediction of HR KF and MSKF schemes during 19-20 July
2017, TD and KF schemes during 23-24 July 2017 give the better performance.
Description:
This thesis is submitted to the Department of Physics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Physics, December 2018.
Cataloged from PDF Version of Thesis.
Includes bibliographical references (pages 110-116).