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Data assimilation 2 Tropical cyclone 2 WRF-ARW 2 3D-VAR 1 ARW 1 Assimilation 1 Convective storm 1 FDDA nudging 1 Heavy rainfall 1 Period 1 Real-time prediction 1 Timescale 1 Tropical cyclones 1 WRF model 1
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Yesubabu, V. 4 Ramakrishna, S. 3 Srinivas, C. 3 Prasad, K. Hari 2 Venkatraman, B. 2 Hariprasad, K. 1 Islam, Sahidul 1 Kaginalkar, Akshara 1 Kashid, Sagar 1 Sikka, D. 1 Srivastava, A. 1
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Natural Hazards 4
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Impact of variational assimilation technique on simulation of a heavy rainfall event over Pune, India
Yesubabu, V.; Islam, Sahidul; Sikka, D.; Kaginalkar, Akshara - In: Natural Hazards 71 (2014) 1, pp. 639-658
Prediction of heavy rainfall events due to severe convective storms in terms of their spatial and temporal scales is a challenging task for an operational forecaster. The present study is about a record-breaking heavy rainfall event observed in Pune (18°31′N, 73°55′E) on October 4, 2010....
Persistent link: https://www.econbiz.de/10010995629
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Impact of period and timescale of FDDA analysis nudging on the numerical simulation of tropical cyclones in the Bay of Bengal
Yesubabu, V.; Srinivas, C.; Ramakrishna, S.; Prasad, K. Hari - In: Natural Hazards 74 (2014) 3, pp. 2109-2128
In this study, the impact of four-dimensional data assimilation (FDDA) analysis nudging is examined on the prediction of tropical cyclones (TC) in the Bay of Bengal to determine the optimum period and timescale of nudging. Six TCs (SIDR: November 13–16, 2007; NARGIS: April 29–May 02, 2008; NISHA:...
Persistent link: https://www.econbiz.de/10011151504
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Real-time prediction of a severe cyclone ‘Jal’ over Bay of Bengal using a high-resolution mesoscale model WRF (ARW)
Srinivas, C.; Yesubabu, V.; Hariprasad, K.; Ramakrishna, S. - In: Natural Hazards 65 (2013) 1, pp. 331-357
Real-time predictions for the JAL severe cyclone formed in November 2010 over Bay of Bengal using a high-resolution Weather Research and Forecasting (WRF ARW) mesoscale model are presented. The predictions are evaluated with different initial conditions and assimilation of observations. The...
Persistent link: https://www.econbiz.de/10010996461
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Numerical simulation of cyclonic storms FANOOS, NARGIS with assimilation of conventional and satellite observations using 3-DVAR
Srinivas, C.; Yesubabu, V.; Prasad, K. Hari; Venkatraman, B. - In: Natural Hazards 63 (2012) 2, pp. 867-889
In this work, the impact of assimilation of conventional and satellite data is studied on the prediction of two cyclonic storms in the Bay of Bengal using the three-dimensional variational data assimilation (3D-VAR) technique. The FANOOS cyclone (December 6–10, 2005) and the very severe...
Persistent link: https://www.econbiz.de/10010996074
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