Impacts of different cumulus physics over south Asia region with case study tropical cyclone Viyaru
Abdullah Al Fahad, Tanvir Ahmed

TL;DR
This study evaluates how different cumulus physics parametrizations affect the accuracy of numerical simulations of Tropical Cyclone Viyaru in the Bay of Bengal, aiming to identify the best scheme for cyclone prediction.
Contribution
It systematically compares five cumulus physics schemes in WRF ARW to determine their impact on cyclone track, intensity, and pressure predictions for Viyaru.
Findings
Cumulus schemes significantly influence cyclone simulation accuracy.
The Tiedtke scheme provided the most accurate track and intensity predictions.
Simulations without cumulus physics showed less realistic results.
Abstract
Tropical Cyclone Viyaru, formerly known as Cyclonic Storm Mahasen was a rapidly intensifying, category 01B storm that made landfall in Chittagong, Bangladesh on the 16th of May, 2013. In this study, the sensitivity of numerical simulations of tropical cyclone to cumulus physics parametrization is carried out with a view to determine the best cumulus physics option for prediction of the cyclones track, timing, and central pressure evolution in the Bay of Bengal. For this purpose, the tropical cyclone Viyaru has been simulated by WRF ARW in a nested domain with NCEP Global Final Analysis(FNL) data as initial and boundary conditions. The model domain consists of one parent domain and one nested domain. The resolution of the parent domain is 36 km while the nested domain has a resolution of 12 km. Five numerical simulations have been done with the same micro-physics scheme (WSM3), planetary…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTropical and Extratropical Cyclones Research · Ocean Waves and Remote Sensing
