Volume 4, Number 1 (2020)
Year Launched: 2016
Journal Menu
Archive
Previous Issues
Why Us
-  Open Access
-  Peer-reviewed
-  Rapid publication
-  Lifetime hosting
-  Free indexing service
-  Free promotion service
-  More citations
-  Search engine friendly
Contact Us
Email:   service@scirea.org
Home > Journals > SCIREA Journal of Geosciences > Archive > Paper Information

Satellite - based Tropical Cyclone Track Assessment over Bay of Bengal using the GRIDSAT- B1 and SCATSAT- 1 retrievals and reanalysis data

Volume 4, Issue 1, February 2020    |    PP. 15-49    |PDF (11318 K)|    Pub. Date: September 24, 2020
8 Downloads     60 Views  

Author(s)
Sutapa Chaudhuri, Department of Atmospheric Sciences, University of Calcutta, Kolkata- 700 019, INDIA
Jayanti Pal, Department of Atmospheric Sciences, University of Calcutta, Kolkata- 700 019, INDIA;Department of Atmospheric Sciences, Central University of Rajasthan, Rajasthan - 305817, INDIA
Ishita Sarkar, Department of Atmospheric Sciences, University of Calcutta, Kolkata- 700 019, INDIA
Indrani Ganguly, Department of Atmospheric Sciences, University of Calcutta, Kolkata- 700 019, INDIA;Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa 50011-3212, USA

Abstract
An attempt is made to perceive the dynamics for track evolution process of tropical cyclones over Bay of Bengal (BOB) by merging the satellite retrievals and reanalyses datasets. The systems investigated are the cyclonic storms KYANT, NADA and MAARUTHA belonging to the same category with different tracks. The cyclonic storm KYANT had looping track and had no landfall. However, NADA had westward track with landfall at southeast coast of India. The cyclonic storm MAARUTHA, on the other hand, had an eastward track with landfall over Myanmar. The analyses depict that the cloud clusters developed under different surface currents for the three systems. The result shows that the cloud clusters initially developed under surface westerly current for MAARUTHA. A tilt in vertical profile of vorticity is observed with the track of KYANT and NADA while no such tilt is observed for MAARUTHA. The upper level divergence field is observed for NADA and MAARUTHA however, the divergence field in upper level was not discernible for KYANT. The result shows that the dynamics of the track evolution process for each system over the same ocean basin is rather different albeit the systems belong to the same category. Thus, the simulation of the track of cyclonic systems of the same category over a specific ocean basin with a single numerical model may not disseminate dependable information unless the surface current at the initial stage, vertical profile of vorticity and upper level divergence for each system are analysed and assimilated in the model correctly.

Keywords
Cyclonic Storm, track evolution process, Scatterometer, wind structure

Cite this paper
Sutapa Chaudhuri, Jayanti Pal, Ishita Sarkar, Indrani Ganguly, Satellite - based Tropical Cyclone Track Assessment over Bay of Bengal using the GRIDSAT- B1 and SCATSAT- 1 retrievals and reanalysis data, SCIREA Journal of Geosciences. Vol. 4 , No. 1 , 2020 , pp. 15 - 49 .

References

[ 1 ] Aberson SD (2001) The Ensemble of tropical cyclone track forecasting models in the North Atlantic basin (1976–2000). Bull Am Meteorol Soc 82:1895–1904
[ 2 ] BhaskarRao DV, HariPrasad D (2006) Numerical prediction of the Orissa super cyclone (1999): Sensitivity to the parameterisation of convection, boundary layer and explicit moisture processes. Mausam 57(1):61–78
[ 3 ] Chaudhuri S, Dutta D, Goswami S, Middey A (2014) Track and intensity forecast of tropical cyclones over the North Indian Ocean with multilayer feed forward neural nets. Meteorol Appl 22:563 – 575
[ 4 ] Deshpande M, Pattnaik S, Salvekar PS (2010) Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu. Nat Hazards 55(2):211-231
[ 5 ] Emanuel K (2003) Tropical cyclones. Annu Rev Earth Pl Sc 31:75-104
[ 6 ] Franklin JL, McAdie CJ, Lawrence MB (2003) Trends in Track forecasting for Tropical Cyclones threatening the United States, 1970–2001. Bull Am Meteorol Soc 84:1197-1203
[ 7 ] George JE, Gray WM (1976) Tropical cyclone motion and surrounding parameter relationships. J Appl Meteorol 15:1252–1264. https://doi.org/10.1175/1520-0450(1976)015<1252:TCMASP>2.0.CO;2
[ 8 ] Holland GJ (1983) Tropical Cyclone Motion: Environmental interaction plus a Beta Effect. J Atmos Sci 40:328–342
[ 9 ] Jaiswal N, Kumar P, Kishtawal C (2019) SCATSAT-1 wind products for tropical cyclone monitoring, prediction and surface wind structure analysis. Curr Sci 117(6):983-992
[ 10 ] Kalnay E, Kanamitsu M, Kistler R et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77: 437–472
[ 11 ] Knapp KR, Ansari S, Bain CL, Bourassa MA, Dickinson MJ, Funk C, Helms CN, Hennon CC, Holmes CD, Huffman GJ, Kossin JP, Lee HT, Loew A, Magnusdottir G (2011) Globally gridded satellite observations for climate studies. Bull Am Meteorol Soc 92:893-907
[ 12 ] Leroux MD, Wood K, Elsberry RL, Cayanan EO, Hendricks E, Kucas M, Otto P, Rogers R, Sampson B, Yu Z (2018) Recent Advances in Research and Forecasting of Tropical Cyclone Track, Intensity, and Structure at Landfall. Tropical Cyclone Research and Review 7(2):85-105. https://doi.org/10.6057/2018TCRR02.02
[ 13 ] Mohanty UC, Gupta A (2008) Deterministic methods for prediction of tropical cyclone tracks. In: Modelling and monitoring of coastal marine processes. Springer, Berlin, pp 141–170
[ 14 ] Mohanty UC, Nadimpalli R, Mohanty S, Osuri KK (2019) Recent advancements in prediction of tropical cyclone track over north Indian Ocean basin. Mausam 70(1):57-70
[ 15 ] Mohapatra M, Nayak DP, Sharma RP, Bandyopadhyay BK (2013) Evaluation of official tropical cyclone track forecast over north Indian Ocean issued by India Meteorological Department. J Earth Syst Sci 122(3):589–601
[ 16 ] Mohapatra M, Nayak DP, Sharma M, Sharma RP, Bandyopadhyay BK (2015) Evaluation of official tropical cyclone landfall forecast issued by India Meteorological Department. J Earth Syst Sci 124: 861–874. https://doi.org/10.1007/s12040-015-0581-x
[ 17 ] Osuri KK, Mohanty UC, Routray A, Makarand AK, Mohapatra M (2012) Sensitivity of physical parameterization schemes of WRF model for the simulation of Indian seas tropical cyclones. Nat Hazards 63:1337-1359
[ 18 ] Osuri KK, Mohanty UC, Routray A, Mohapatra M, Niyogi D (2013) Real-Time Track Prediction of Tropical Cyclones over the North Indian Ocean Using the ARW Model. J Appl Meteor Climatol 52:2476–2492. https://doi.org/10.1175/JAMC-D-12-0313.1
[ 19 ] Rama Rao YV, Nagaratna K, Joardar D, Sharma A, Kumar A (2015) Evaluation of short range forecast for tropical cyclones over North Indian Ocean using TIGGE data. Mausam 66:349–356
[ 20 ] Rappaport EN, Franklin JL, Avila LA et al (2009) Advances and challenges at the National Hurricane Center. Wea Forecasting 24:395–419. https://doi.org/10.1175/2008WAF2222128.1
[ 21 ] Reynolds RW, Smith TM, Liu C, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analyses for sea surface temperature. J Climate 20:5473–5496
[ 22 ] Srinivas CV, Yesubabu V, Hari Prasad, KBRR, Venkatraman B, Ramakrishna SSVS (2012) Numerical simulation of cyclonic storms FANOOS, NARGIS with assimilation of conventional and satellite observations using 3-DVAR. Nat Hazards 63(2): 867-889

Submit A Manuscript
Review Manuscripts
Join As An Editorial Member
Most Views
Article
by Sergey M. Afonin
2935 Downloads 44132 Views
Article
by Syed Adil Hussain, Taha Hasan Associate Professor
2295 Downloads 20097 Views
Article
by Omprakash Sikhwal, Yashwant Vyas
2366 Downloads 16771 Views
Article
by Munmun Nath, Bijan Nath, Santanu Roy
2263 Downloads 16675 Views
Upcoming Conferences
Nov.
30