Coastal vulnerability due to extreme waves at Kalpakkam based on historical tropical cyclones in the Bay of Bengal

2013 ◽  
Vol 34 (5) ◽  
pp. 1460-1471 ◽  
Author(s):  
Sashikant Nayak ◽  
Prasad K. Bhaskaran
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Extreme Waves ◽  
Coastal Vulnerability

scholarly journals Gravity Wave Behavior in Lower Stratosphere During Tropical Cyclones Over the Bay of Bengal

Radio Science ◽  
2018 ◽  
Vol 53 (11) ◽  
pp. 1356-1367 ◽  
Author(s):  
Gargi Rakshit ◽  
Soumyajyoti Jana ◽  
Animesh Maitra
Keyword(s):  
Gravity Wave ◽  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Lower Stratosphere

scholarly journals Author Correction: On the processes influencing rapid intensity changes of tropical cyclones over the Bay of Bengal

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Saiprasanth Bhalachandran ◽  
R. Nadimpalli ◽  
K. K. Osuri ◽  
F. D. Marks ◽  
S. Gopalakrishnan ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Intensity Changes

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

scholarly journals Effects of Tropical Cyclones on Sea Surface Salinity in the Bay of Bengal Based on SMAP and Argo Data

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2975
Author(s):  
Huabing Xu ◽  
Rongzhen Yu ◽  
Danling Tang ◽  
Yupeng Liu ◽  
Sufen Wang ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Vertical Mixing ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
Ekman Pumping ◽  
Surface Salinity ◽  
Argo Data ◽  
Before And After ◽  
The Impact

This paper uses the Argo sea surface salinity (SSSArgo) before and after the passage of 25 tropical cyclones (TCs) in the Bay of Bengal from 2015 to 2019 to evaluate the sea surface salinity (SSS) of the Soil Moisture Active Passive (SMAP) remote sensing satellite (SSSSMAP). First, SSSArgo data were used to evaluate the accuracy of the 8-day SMAP SSS data, and the correlations and biases between SSSSMAP and SSSArgo were calculated. The results show good correlations between SSSSMAP and SSSArgo before and after TCs (before: SSSSMAP = 1.09SSSArgo−3.08 (R2 = 0.69); after: SSSSMAP = 1.11SSSArgo−3.61 (R2 = 0.65)). A stronger negative bias (−0.23) and larger root-mean-square error (RMSE, 0.95) between the SSSSMAP and SSSArgo were observed before the passage of 25 TCs, which were compared to the bias (−0.13) and RMSE (0.75) after the passage of 25 TCs. Then, two specific TCs were selected from 25 TCs to analyze the impact of TCs on the SSS. The results show the significant SSS increase up to the maximum 5.92 psu after TC Kyant (2016), which was mainly owing to vertical mixing and strong Ekman pumping caused by TC and high-salinity waters in the deep layer that were transported to the sea surface. The SSSSMAP agreed well with SSSArgo in both coastal and offshore waters before and after TC Roanu (2016) and TC Kyant (2016) in the Bay of Bengal.

scholarly journals Impact of ocean mixed‐layer depth initialization on the simulation of tropical cyclones over the Bay of Bengal using the WRF‐ARW model

2019 ◽  
Vol 27 (1) ◽  
Author(s):  
Viswanadhapalli Yesubabu ◽  
Vijaya Kumari Kattamanchi ◽  
Naresh Krishna Vissa ◽  
Hari Prasad Dasari ◽  
Vijaya Bhaskara Rao Sarangam
Keyword(s):  
Tropical Cyclones ◽  
Mixed Layer ◽  
Bay Of Bengal ◽  
Mixed Layer Depth ◽  
Ocean Mixed Layer ◽  
Layer Depth ◽  
Arw Model ◽  
Ocean Mixed Layer Depth

scholarly journals The response of ocean parameters to tropical cyclones in the Bay of Bengal

2019 ◽  
Vol 145 (724) ◽  
pp. 3320-3332 ◽  
Author(s):  
Nanda Kishore Reddy Busireddy ◽  
Kumar Ankur ◽  
Krishna Kishore Osuri ◽  
Sanikommu Sivareddy ◽  
Dev Niyogi
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal

Climatological characteristics of Bay of Bengal tropical cyclones: 1972–2017

2019 ◽  
Vol 139 (1-2) ◽  
pp. 615-629 ◽  
Author(s):  
Pankaj Bhardwaj ◽  
Omvir Singh
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal

Impact of Satellite Radiance Data on Simulations of Bay of Bengal Tropical Cyclones Using the WRF-3DVAR Modeling System

2016 ◽  
Vol 54 (4) ◽  
pp. 2285-2303 ◽  
Author(s):  
Ashish Routray ◽  
U. C. Mohanty ◽  
Krishna K. Osuri ◽  
S. C. Kar ◽  
Dev Niyogi
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Satellite Radiance Data ◽  
Radiance Data

Contrasting Chl-a responses to the tropical cyclones Thane and Phailin in the Bay of Bengal

2017 ◽  
Vol 165 ◽  
pp. 103-114 ◽  
Author(s):  
Vidya P.J. ◽  
Santosh Das ◽  
Mani Murali.R
Keyword(s):  
Tropical Cyclones ◽  
Bay Of Bengal ◽  
Chl A
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