Typhoon (TY) Haiyan was one of the most intense and highly destructive tropical cyclones
(TCs) to affect the Philippines. As such, it is regarded as a baseline for extreme TC hazards …

This study evaluates the performance of the Advanced Research Weather Research and
Forecasting (WRF-ARW) model for prediction of land-falling Bay of Bengal (BoB) tropical …

Convection influences climate and weather events over a wide range of spatial and
temporal scales. Therefore, accurate predictions of the time and location of convection and …

This study investigates the sensitivity of simulated tropical cyclones (TC) affecting the
Philippines to convective parameterization schemes (CPS) in the Regional Climate Model …

This study evaluated tropical cyclone (TC) activity simulated by two regional climate models
(RCMs) incorporated in the Coordinated Regional Climate Downscaling Experiment …

Abstract In January 2011, the Mountainous Region of Rio de Janeiro state underwent one of
the largest natural hazards in Brazil, affecting more than 300,000 people, causing more than …

Abstract The Weather Research and Forecasting model was used to test the sensitivity of
Typhoon Haiyan (2013) to the use of a cumulus parameterization scheme, specifically the …

Tropical cyclones (TCs) are the most distractive natural weather phenomena and cause
extensive damage and socioeconomic loss over the North Indian Ocean (NIO) region …

The prediction of extremely severe cyclonic storms has been a long-standing and
challenging issue due to their short life period and large variation in intensities over a short …

This study examines the effects of convective parameterization schemes (CPSs) on the
simulated June–September (JJAS) precipitation climatology, variability and predictability …