Version 1
: Received: 30 August 2022 / Approved: 31 August 2022 / Online: 31 August 2022 (07:48:18 CEST)
How to cite:
Singh, K.S.; Nayak, S.; Maity, S.; Nayak, H.P.; Dutta, S. Prediction of Bay of Bengal Extremely Severe Cyclonic Storm "Fani” Using Moving Nested Domain. Preprints2022, 2022080536. https://doi.org/10.20944/preprints202208.0536.v1
Singh, K.S.; Nayak, S.; Maity, S.; Nayak, H.P.; Dutta, S. Prediction of Bay of Bengal Extremely Severe Cyclonic Storm "Fani” Using Moving Nested Domain. Preprints 2022, 2022080536. https://doi.org/10.20944/preprints202208.0536.v1
Singh, K.S.; Nayak, S.; Maity, S.; Nayak, H.P.; Dutta, S. Prediction of Bay of Bengal Extremely Severe Cyclonic Storm "Fani” Using Moving Nested Domain. Preprints2022, 2022080536. https://doi.org/10.20944/preprints202208.0536.v1
APA Style
Singh, K.S., Nayak, S., Maity, S., Nayak, H.P., & Dutta, S. (2022). Prediction of Bay of Bengal Extremely Severe Cyclonic Storm "Fani” Using Moving Nested Domain. Preprints. https://doi.org/10.20944/preprints202208.0536.v1
Chicago/Turabian Style
Singh, K.S., Hara Prasad Nayak and Soma Dutta. 2022 "Prediction of Bay of Bengal Extremely Severe Cyclonic Storm "Fani” Using Moving Nested Domain" Preprints. https://doi.org/10.20944/preprints202208.0536.v1
Abstract
The prediction of an extremely severe cyclonic storm (ESCS) is one of the challenging issues due to increasing intensity and its life period. In this study, an ESCS Fani that developed over Bay of Bengal region during 27 April - 4May, 2019 and made landfall over Odisha coast of India is investigated to forecast the storm track, intensity and structure. Two numerical experiments (changing two air-sea flux parameterization schemes; namely FLUX-1 and FLUX-2) are conducted with the Advanced Research version of the Weather Research and Forecasting (ARW-WRF) model by using a moving nest with fine horizontal resolution about 3 km. The high resolution (25 km) NCEP operational Global Forecast System (GFS) analysis and forecast datasets are used to derive the initial and boundary conditions, the ARW model initialized at 00 UTC 29 April 2019 and forecasted for 108 hours. The forecasted track and intensity of Fani is validated with available India Meteorological Department (IMD) best-fit track datasets. Result shows that the track, landfall (position and time) and intensity in terms of minimum sea level pressure (MSLP) and maximum surface wind (MSW) of the storm is well predicted in the moving nested domain of the WRF model using FLUX-1 experiment. The track forecast errors on day-1 to day-4 are ~ 47 km, 123 km, 96 km, and 27 km in FLUX-1 and ~54 km, 142 km, 152 km and 166 km in Flux-2 respectively. The intensity is better predicted in FLUX-1 during the first 60 h followed by FLUX -2 for the remaining period. The structure in terms of relative humidity, water vapor, maximum reflectivity and temperature anomaly of the storm is also discussed and compared with available satellite and Doppler Weather Radar observations.
Keywords
WRF model; Moving-nest; Fani; Bay of Bengal; Wind Speed
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
