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Details of  M M Ali   


PERSONAL DATA

Gender male
Job title Senior Scientist (Courtesy)
Department Center for Ocean-Atmospheric Prediction Studies
Institution
Florida State University, Center for Ocean-Atmospheric Prediction Studies ( FSU COAPS)
2035 E. Paul Dirac Dr. 200 RM Johnson Bldg. Tallahassee FL 32306-2840
Address
Florida State University, Center for Ocean-Atmospheric Prediction Studies 2035 E. Paul Dirac Dr. 200 RM Johnson Bldg.
Tallahassee
Florida
FL 32306-2840
United States
Regions Mediterranean Sea - Eastern Basin
Nationality India
Tel +919949045110
Email
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Social Media Links
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PROFESSIONAL DATA

Degree MSc (Tech.) PhD
Job type Research
Research Area(s) Physical Oceanography , Physical Oceanography
Research Activities Satellite altimetery Air sea interaction Ocean heat content impact on cyclones and monsoons
Research Region 71, 46
Skills/Expertise Remote Sensing of Ocean and Atmosphere
Comments My desire is to prove that ocean mean temperature would be a better parameter than SST for cyclone and monsoon studies.
PUBLICATIONS (as reported by M ALI)

1. M. M. Ali, P. V. Nagamani, Neerja Sharma, R. T. Venu Gopal, M. Rajeevan, G. J. Goni and Mark A. Bourassa (2015). Relationship between ocean mean temperatures and Indian summer monsoon rainfall. DOI: DOI: 10.1002/asl2.576, (published on line). 2. P. S. V. Jagadeesh, M. Suresh Kumar, and M. M. Ali (2015). Estimation of Heat Content and Mean Temperature of Different Ocean Layers, IEEE-JSTARS. DOI: 10.1109/JSTARS.2015.2403877, (published online). 3. Neethu Chacko, D . Dutta, M M Ali, JR Sharma and VK Dadhwal (2015). Near real time availability of ocean heat content over north Indian Ocean. IEEE, GRSL DOI: 10.1109/LGRS.2014.2375196, vol. 12, pp 1033-1036. 4. P. Mahesh, Neerja Sharma,VK Dadhwal, PVN Rao, BV Apparao, AK Ghosh, K. Mallikarjun and MM Ali (2014). Impact of Land-Sea Breeze and Rainfall on CO2 Variations at a Coastal Station, J Earth Sci Clim Change 5: 201. doi:10.4172/2157-7617.1000201. 5. Neerja Shartma and MM Ali, (2014). Role of ocean heat content for cyclone studies, Oceanography (open access), vol. 2, Issue 2, http://dx.doi.org/10.4172/2332-2632.1000124. 6. P. Sinha, U.C. Mohanty and M.M. Ali (2014). Role of Sea Surface Temperature in Simulation of Arabian Sea Cyclone, pp 337-351. In Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change (Springer Pub), 7. Neerja Sharma, V.K. Dadhwal, Y. Kant, P. Mahesh, K. Mallikarjun, Harish Gadavi, Anand Sharma and M.M. Ali (2014). Atmospheric CO2 Variations in Two Contrasting Environmental Sites Over India, Air, Soil and Water Research :7, 61?68 doi:10.4137/ASWR.S13987. 8. P. Sujatha, Neerja Sharma, MM Ali and CV Naidu (2014). Variability of Tropical Tropopause Temperature Associated with Convective Activity in Troposphere, , Int. J. Engg. and Innovative Technology, vol. 3 (10), pp 219-224. 9. P. Chand, MV Rao, IV Ramana, MM Ali, J Patoux, MA Bourassa (2014). Estimation of sea level pressure fields during cyclone Nilam from Oceansat-2 scatterometer winds, Atmospheric Science Letters 15(1), 65-71. 10. Neerja Sharma, and M. M. Ali (2013). An approach to predict cyclogenesis using radio occultation observations, Int. J. Engg. and Innovative Technology, Vol. 3, pp 364-367.
1. Neerja Sharma, MM Ali, John A. Knaff and Purna Chand (2013). A soft-computing cyclone intensity prediction scheme for the Western North Pacific Ocean, Atmospheric Science Letters, DOI:10.1002/asl2.438. 2. M. M. Ali, Tina Kashyap and PV Nagamani (2013). Use of Sea Surface Temperature for Cyclone Intensity Prediction Needs a Relook, EOS, Vol. 94, pp 117. 3. M. M. Ali, G. S. Bhat, David G. Long, S. Bharadwaj, Mark A. Bourassa (2013). Estimating wind stress at the Ocean surface from scatterometer observations. IEEE GRSL, DOI: 10.1109/LGRS.2012.2231937 (IF:1.56). 4. Neerja Sharma, RK. Nayak, VK Dadhwal, Y. Kant and MM Ali (2013). Intra-Seasonal and Diurnal Atmospheric CO2 Patterns at Dehradun, India during 2009, Atmosphere, water and soil research DOI: 10.4137/ASWR.S10590 5. M. M. Ali, D. Swain, Tina Kashyap, J. P. McCreary and P. V. Nagamani (2013). Relationship between Cyclone Intensities and Sea Surface Temperature in the Tropical Indian Ocean, IEEE Geoscience and Rem. Sens. Letters. Vol. 10, pp 841 ? 844, DOI: 10.1109/LGRS.2012.2226138 ( IF: 1.56). 6. Neerja Sharma and MM Ali (2013). A Neural Network Approach to Improve the Vertical Resolution of Atmospheric Temperature Profiles from Geostationary Satellites, IEEE Geoscience and Remote Sensing Letters, Vol. 10, pp 34-37, DOI No. 10.1109/LGRS.2012.2191763 (IF: 1.56). 7. M M Ali, P S V Jagadeesh, I-I Lin, and Je-Yuan Hsu (2012). A Neural Network Approach to Estimate Tropical Cyclone Heat Potential in the Indian Ocean, IEEE Geoscience and Remote Sensing Letters, Vol. 9, pp 1114 ? 1117, DOI No: 10.1109/LGRS.2012.2190491 (IF: 1.56). 8. P. V. Nagamani, M. M. Ali, G. J. Goni, P. N. Dinezio, J. C. Pezzullo, T. V. S. Uday Bhaskar, V. V. Gopalakrishna and N. Kurian (2012). Validation of atellite-derived tropical cyclone heat potential with in situ observations in the North Indian Ocean, Remote Sensing Letters, Vol. 3, No. 7, 10 December 2012, 615?620. 9. Lin, I-I, G. J. Goni, J. Knaff, C. Forbes and M. M. Ali (2012). Ocean Heat Content for Tropical Cyclone Intensity Forecasting and Its Impact on Storm Surge, Natural Hazards, DOI: 10.1007/s11069-012-0214-5 (IF: 1.53). 10. P.N. Sridhar, MM Ali, MV Rao and P.V. Nagamani (2012). Role of photo-synthetically active radiation, a critical parameter for mass coral bleaching in the north Indian Ocean, Current Science, Vol. 102 (1). 11. PV Nagamani, P Chauhan, N Sanwlani, MM Ali ( 2012).Artificial Neural Network (ANN) Based Inversion of Benthic Substrate Bottom Type and Bathymetry in Optically Shallow Waters-Initial Model Results, Journal of the Indian Society of Remote Sensing 40 (1), 137-143 12. M. M. Ali, Sarika Jain and Radhika Ramachandran (2011). Effect of temperature and salinity profiles on sound speed in the central Arabian Sea, Open Access Engineering Journal, Vol. 4, PP 71-76. 13. M. M. Ali, G. J. Goni and V. Jayaraman (2010). Satellite derived ocean heat content improves cyclone prediction, Earth Observations System, Vol. 91, p 396. 14. Goni, G.J. M. DeMaria, J. Knaff , C. Sampson, I. Ginis, F. Bringas, A., Mavume, C. Lauer, I-I Lin, M. M. Ali, P. Sandery, S. Ramos-Buarque, K. Kang, A. Mehra, E. Chassignet, and G. Halliwell (2009). Applications of satellite-derived ocean easurements to tropical cyclone intensity forecasting, GODAE Special Issue Feature, Oceanography, Vol. 22, pp 190-197 (IF: 2.99) 15. Sridhar, PN. Ali, MM. Vethamony, P., Babu, MT, Ramana, IV and. Jayakumar, S. (2008). Seasonal Occurrence of Unique Sediment Plume in the Bay of Bengal, Earth Observations System, Vol. 89, pp 22-23. 16. Sridhar, P.N., Ramana, I. V., Ali, M. M and Veeranarayana, B. (2008). Understanding the suspended sediment dynamics in the coastal waters of the Bay of Bengal using high resolution, Current Science, Vol. 94, pp 1499-1502. 17. Ali, M.M., C. M. Kishtawal and Sarika Jain (2007). Predicting Cyclone Tracks in the North Indian Ocean: An Artificial Neural Network Approach, Geophysical Research Letters, Vol. 34, L04603, doi: 10.1029/2006GL028353. (IF: 3.79) 18. Ali, M. M., P.S.V. Jagadeesh and Sarika Jain (2007). Effects of Eddies on Bay of Bengal Cyclone Intensity, Earth Observations System, Vol. 88, ps 93, 95. 19. Sarika Jain, MM Ali and PN Sen (2007). Estimation of Sonic Layer Depth from Surface Parameters, Geophys. Res. Lett. Vol. 34, Doi:10.1029/2007GL030577. (IF: 3.79) 20. THIS PAPER HAS BEEN SELECTED AS AN

Group(s): GOOS
Created: 2013-06-29 Last Updated: 2016-06-17 by M ALI