Relation between tropical cyclone heat potential and cyclone intensity in the North Indian Ocean

2016 ◽  
Author(s):  
B. Jangir ◽  
D. Swain ◽  
T. V. S. Udaya Bhaskar
Keyword(s):  
Tropical Cyclone ◽  
Indian Ocean ◽  
North Indian Ocean ◽  
Cyclone Intensity ◽  
The North ◽  
Tropical Cyclone Heat Potential ◽  
Heat Potential

Validation of satellite-derived tropical cyclone heat potential with in situ observations in the North Indian Ocean

2012 ◽  
Vol 3 (7) ◽  
pp. 615-620 ◽  
Author(s):  
Pullaiahgari V. Nagamani ◽  
Meer M. Ali ◽  
Gustavo J. Goni ◽  
DiNezio N. Pedro ◽  
John C. Pezzullo ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
Indian Ocean ◽  
North Indian Ocean ◽  
The North ◽  
Tropical Cyclone Heat Potential ◽  
Heat Potential ◽  
In Situ Observations

Inter-comparison of model, satellite and in situ tropical cyclone heat potential in the North Indian Ocean

2019 ◽  
Vol 102 (2) ◽  
pp. 557-574 ◽  
Author(s):  
Babita Jangir ◽  
D. Swain ◽  
Samar Kumar Ghose ◽  
Rishav Goyal ◽  
T. V. S. Udaya Bhaskar
Keyword(s):  
Tropical Cyclone ◽  
Indian Ocean ◽  
North Indian Ocean ◽  
The North ◽  
Tropical Cyclone Heat Potential ◽  
Heat Potential

scholarly journals Tropical cyclone intensity prediction over the North Indian Ocean - An NWP based objective approach

Geofizika ◽  
2019 ◽  
Vol 35 (2) ◽  
pp. 177-187
Author(s):  
Sumit Kumar Bhattacharya ◽  
Shyam Das Kotal ◽  
Sankar Nath ◽  
Swapan Kumar Roy Bhowmik ◽  
Prabir Kumar Kundu
Keyword(s):  
Tropical Cyclone ◽  
Indian Ocean ◽  
North Indian Ocean ◽  
Tropical Cyclone Intensity ◽  
Cyclone Intensity ◽  
The North ◽  
Intensity Prediction

Extended Prediction of North Indian Ocean Tropical Cyclones

2012 ◽  
Vol 27 (3) ◽  
pp. 757-769 ◽  
Author(s):  
James I. Belanger ◽  
Peter J. Webster ◽  
Judith A. Curry ◽  
Mark T. Jelinek
Keyword(s):  
Tropical Cyclone ◽  
Indian Ocean ◽  
Tropical Cyclones ◽  
North Indian Ocean ◽  
Ensemble Prediction ◽  
Tropical Cyclone Genesis ◽  
Lead Times ◽  
Prediction System ◽  
Ensemble Prediction System ◽  
The North

Abstract This analysis examines the predictability of several key forecasting parameters using the ECMWF Variable Ensemble Prediction System (VarEPS) for tropical cyclones (TCs) in the North Indian Ocean (NIO) including tropical cyclone genesis, pregenesis and postgenesis track and intensity projections, and regional outlooks of tropical cyclone activity for the Arabian Sea and the Bay of Bengal. Based on the evaluation period from 2007 to 2010, the VarEPS TC genesis forecasts demonstrate low false-alarm rates and moderate to high probabilities of detection for lead times of 1–7 days. In addition, VarEPS pregenesis track forecasts on average perform better than VarEPS postgenesis forecasts through 120 h and feature a total track error growth of 41 n mi day−1. VarEPS provides superior postgenesis track forecasts for lead times greater than 12 h compared to other models, including the Met Office global model (UKMET), the Navy Operational Global Atmospheric Prediction System (NOGAPS), and the Global Forecasting System (GFS), and slightly lower track errors than the Joint Typhoon Warning Center. This paper concludes with a discussion of how VarEPS can provide much of this extended predictability within a probabilistic framework for the region.

scholarly journals Seasonal Nature and Trends of Tropical Cyclone Frequency and Intensity over the North Indian Ocean

2020 ◽  
Vol 15 (3) ◽  
pp. 526-534
Author(s):  
Abhisek Pal ◽  
Soumendu Chatterjee
Keyword(s):  
Time Series ◽  
Tropical Cyclone ◽  
Indian Ocean ◽  
Monsoon Season ◽  
North Indian Ocean ◽  
Post Monsoon ◽  
The North ◽  
Increasing Trend ◽  
Post Monsoon Season ◽  
Cyclone Frequency

Tropical cyclone (TC) genesis over the North Indian Ocean (NIO) region showed significant amount of both spatial and temporal variability.It was observed that the TC genesis was significantly suppressed during the monsoon (June-September) compared to pre-monsoon (March-May) and post-monsoon (October-December) season specifically in terms of severe cyclonic storms (SCS) frequency. The Bay of Bengal (BoB) was characterized by higher TC frequency but lower intensity compared to the Arabian Sea (AS). It was also observed that the TC genesis locations were shifted significantly seasonally.The movement of the TCs also portrayed some significant seasonal differences. The pre-monsoon and post-monsoon season was responsible for generating TCs with higher values of accumulated cyclone energy (ACE) compared to the monsoon. The time series of TC frequency showed a statistically significant decreasing trend whereas the time series of ACE showed astatistically significant increasing trend over the NIO.

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