Zobrazeno 1 - 10
of 35
pro vyhledávání: '"S. D. Kotal"'
Autor:
S. D. Kotal, S. K. Bhattacharya
Publikováno v:
Natural Hazards. 115:807-837
Autor:
S. D. Kotal, S. K. Bhattacharya
Publikováno v:
MAUSAM. 72:87-106
Tropical cyclone (TC) forecasting over the North Indian Ocean (NIO) has been improved significantly during past decade (2010-2019). The improvement is largely attributed to the numerical weather prediction (NWP) models and dynamical-statistical Cyclo
Autor:
S. O’Neil Shaw, H. K. Singh, Manmohan Singh, Anand Shankar, Sonam Lotus, K. Sathi Devi, Y. K. Reddy, S. Bandopadhyay, Bikram Singh, S. Stella, Ranjan Phukan, H. R. Biswas, Sunitha Devi, Charan Singh, K. J. Ramesh, Naresh Kumar, Bikram Sen, N. Puviarasan, M. Mohanty, K. Hosalikar, V. K. Mini, K. Nagarathna, Pradeep Sharma, Jaya Sarkar, R. Bibraj, M. Mohapatra, Radhey Shyam Sharma, Bhawna Kumari, Ved Prakash Singh, T. S. Nitha, Ganesh Das, M. Rahul, Neetha K. Gopal, S. M. Balachandran, Manjulata Sahu, Anupam Kashyapi, Surendra Singh, Soma Sen Roy, J. P. Gupta, Shobhit Katyar, G. N. Raha, Surendra Paul, S. D. Kotal, Kuldeep Srivastava, Sunit Das, Shibin Balakrishnan, Krishna C. Mishra, Gaurav Agnihotri
Publikováno v:
Meteorology and Atmospheric Physics. 133:989-1008
While destruction associated with floods during the monsoon season and cyclones receives wide attention, the extreme weather in the form of hail, lightning and high winds have also caused widespread devastation over India on a small spatial scale in
Autor:
S. K. Bhattacharya, S. D. Kotal
Publikováno v:
Tropical Cyclone Research and Review, Vol 9, Iss 1, Pp 53-66 (2020)
This paper demonstrates a modification method for real-time improvement of wind field forecasts for a typical cyclone VARDAH, which formed over the Bay of Bengal (BoB) in 2016. The proposed method to improve the wind field forecasts associated with t
Autor:
Sébastien Langlade, Stephen Barlow, Charles R. Sampson, Woojeong Lee, Thomas Birchard, Richard J. Pasch, Tarik Kriat, Joseph B. Courtney, Udai Shimada, S. D. Kotal, Amit Singh, John A. Knaff
Publikováno v:
Tropical Cyclone Research and Review, Vol 8, Iss 4, Pp 226-239 (2019)
This review summarizes experiences at operational centers to forecast tropical cyclone (TC) intensity change as presented to the International Workshop on Tropical Cyclones (IWTC-9) in Hawaii in 2018. Some operational forecast centers have been able
Autor:
S. D. Kotal, Richard J. Pasch, Thomas Birchard, Stephen Barlow, Charles R. Sampson, Udai Shimada, Sébastien Langlade, Tarik Kriat, John A. Knaff, Joseph B. Courtney, Woojeong Lee
Publikováno v:
Tropical Cyclone Research and Review, Vol 8, Iss 3, Pp 123-133 (2019)
This review summarizes techniques used by operational centers to forecast tropical cyclone intensity change as presented to the International Workshop on Tropical Cyclones (IWTC-9) in Hawaii in 2018. Recent advances and major changes over the past fo
Publikováno v:
Meteorological Applications. 26:245-252
Publikováno v:
Meteorology and Atmospheric Physics. 128:751-762
Three artificial neural network (ANN) methods, namely, multilayer perceptron (MLP), radial basis function (RBF) and generalized regression neural network (GRNN) are utilized to predict the seasonal tropical cyclone (TC) activity over the north Indian
Autor:
Prabir Kumar Kundu, Sankar Kumar Nath, S. D. Kotal, Swapan Kumar Roy Bhowmik, S. K. Bhattacharya
Publikováno v:
Geofizika
Volume 35
Issue 2
Geofizika, Vol 35, Iss 2, Pp 177-187 (2019)
Volume 35
Issue 2
Geofizika, Vol 35, Iss 2, Pp 177-187 (2019)
A Numerical Weather Prediction (NWP) based objective intensity prediction approach has been explored for prediction of tropical cyclone intensity over the North Indian Ocean (NIO) using ECMWF model outputs. The intensity of a tropical cyclone is clas
Publikováno v:
Atmósfera. 28:271-281
A neural network (NN) model is developed to predict the seasonal number of tropical cyclones (TCs) formed over the north Indian Ocean during the post-monsoon season (October, November, December). The frequency of TCs and the large scale climate varia