Satellite derived upper ocean thermal structure and its application to tropical cyclone intensity forecasting in the Indian Ocean -- Journal of Oceanology and Limnology,2015,33(5):1219-1232

	Cite this paper:
	SUN Chunjian, WANG Xidong, CUI Xiaojian, ZHANG Xiaoshuang, ZHANG Lianxin, SHAO Caixia, WU Xinrong, FU Hongli, LI Wei. Satellite derived upper ocean thermal structure and its application to tropical cyclone intensity forecasting in the Indian Ocean[J]. Journal of Oceanology and Limnology, 2015, 33(5): 1219-1232

Satellite derived upper ocean thermal structure and its application to tropical cyclone intensity forecasting in the Indian Ocean

SUN Chunjian¹, WANG Xidong¹, CUI Xiaojian¹, ZHANG Xiaoshuang¹, ZHANG Lianxin^1,2, SHAO Caixia^1,3, WU Xinrong¹, FU Hongli¹, LI Wei¹

1 Key Laboratory of State Oceanic Administration for Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, Tianjin 300171, China;
2 College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China;
3 National University of Defense Technology, Changsha 410073, China

Abstract:

Upper ocean heat content is a factor critical to the intensity change of tropical cyclones (TCs).Because of the inhomogeneity of in situ observations in the North Indian Ocean, gridded temperature/salinity (T/S) profiles were derived from satellite data for 1993-2012 using a linear regression method.The satellite derived T/S dataset covered the region of 10°S-32°N, 25°-100°E with daily temporal resolution, 0.25°×0.25° spatial resolution, and 26 vertical layers from the sea surface to a depth of 1 000 m at standard layers.Independent Global Temperature Salinity Profile Project data were used to validate the satellite derived T/S fields.The analysis confirmed that the satellite derived temperature field represented the characteristics and vertical structure of the temperature field well.The results demonstrated that the vertically averaged root mean square error of the temperature was 0.83 in the upper 1 000 m and the corresponding correlation coefficient was 0.87, which accounted for 76% of the observed variance.After verification of the satellite derived T/S dataset, the TC heat potential (TCHP) was verified.The results show that the satellite derived values were coherent with observed TCHP data with a correlation coefficient of 0.86 and statistical significance at the 99% confidence level.The intensity change of TC Gonu during a period of rapid intensification was studied using satellite derived TCHP data.A delayed effect of the TCHP was found in relation to the intensity change of Gonu, suggesting a lag feature in the response of the inner core of the TC to the ocean.

Key words: tropical cyclone intensification|tropical cyclone heat potential|sea surface temperature|sea surface height

Received: 2014-04-25 Revised: 2014-07-07

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Articles by SUN Chunjian

Articles by WANG Xidong

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Articles by FU Hongli

Articles by LI Wei

References:
Ali M M, Jagadeesh P S V, Jain S.2007.Effects of eddies on Bay of Bengal cyclone intensity.EOS, Transactions American Geophysical Union, 88 (8): 93-95.
Bender M A, Ginis I.2000.Real-case simulations of hurricane-ocean interaction using a high-resolution coupled model: effects on hurricane intensity.Monthly Weather Review, 128 (4): 917-945.
Cione J J, Kalina E A, Zhang J A et al.2013.Observations of air-sea interaction and intensity change in hurricanes.Monthly Weather Review, 141 (8): 2 368-2 382.
Cione J J, Uhlhorn E W.2003.Sea surface temperature variability in hurricanes: implications with respect to intensity change.Monthly Weather Review, 131 (8): 1 783-1 796.
DeMaria M, Kaplan J.1994.Sea surface temperature and the maximum intensity of Atlantic tropical cyclones.Journal of Climate, 7 (9): 1 324-1 334.
Ducet N, Le Traon P Y, Reverdin G.2000.Global highresolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and-2.Journal of Geophysical Research: Oceans, 105 (C8): 19 477-19 498.
Emanuel K A.1999.Thermodynamic control of hurricane intensity.Nature, 401 (6754): 665-669.
Emanuel K, DesAutels C, Holloway C et al.2004.Environmental control of tropical cyclone intensity.Journal of the Atmospheric Sciences, 61 (7): 843-858.
Fox D N, Teague W J, Barron C N et al.2002.The modular ocean data assimilation system (MODAS).Journal of Atmospheric & Oceanic Technology, 19 (2): 240-252.
Gallacher P, Rotunno R, Emanuel K A.1989.Tropical cyclogenesis in a coupled ocean-atmosphere model.18th Conference on Hurricanes and Tropical Meteorology, San Diego, CA, American Meteorological Society.p.121-122.
Goni G J, Kamholz S, Garzoli S et al.1996.Dynamics of the Brazil-Malvinas confluence based upon inverted echo sounders and altimetry.Journal of Geophysical Research, 101 (C7): 16 273-16 289.
Goni G J, Trinanes J A.2003.Ocean thermal structure monitoring could aid in the intensity forecast of tropical cyclones.EOS, Transactions American Geophysical Union, 84 (51): 573-578.
Guinehut S, Dhomps A L, Larnicol G et al.2012.High resolution 3-D temperature and salinity fields derived from in situ and satellite observations.Ocean Science, 8 (5): 845-857.
Guinehut S, Traon P Y L, Larnicol G et al.2004.Combining Argo and remote-sensing data to estimate the ocean threedimensional temperature fields—a first approach based on simulated observations.Journal of Marine Systems, 46 (1-4): 85-98.
Holliday C R, Thompson A H.1979.Climatological characteristics of rapidly intensifying typhoons.Monthly Weather Review, 107 (8): 1 022-1 034.
Hong W, Chang S W, Raman S, Shay L K et al.2000.The interaction between hurricane Opal (1995) and a warm core ring in the Gulf of Mexico.Monthly Weather Review, 128 (5): 1 347-1 365.
Kaplan J, DeMaria M.2003.Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin.Weather & Forecasting, 18 (6): 1 093-1 108.
Knapp K R, Kruk M C, Levinson D H et al.2010.The international best track archive for climate stewardship (IBTrACS) unifying tropical cyclone data.Bulletin of the American Meteorological Society, 91 (3): 363-376.
Law K T, Hobgood J S.2007.A statistical model to forecast short-term Atlantic hurricane intensity.Weather &Forecasting, 22 (5): 967-980.
Leipper D F, Volgenau D.1972.Hurricane heat potential of the Gulf of Mexico.Journal of Physical Oceanography, 2 (3): 218-224.
Levitus S.2009.World Ocean Database.AGU Fall Meeting Abstracts.1: 03.
Lin I I, Chen C H, Pun I F et al.2009a.Warm ocean anomaly, air sea fluxes, and the rapid intensification of tropical cyclone Nargis (2008).Geophysical Research Letters, 36 (3): L03817.
Lin I I, Goni G J, Knaff J A et al.2013.Ocean heat content for tropical cyclone intensity forecasting and its impact on storm surge.Natural Hazards, 66 (3): 1 481-1 500.
Lin I I, Pun I F, Wu C C.2009b.Upper-ocean thermal structure and the Western North Pacific category 5 typhoons.Part II: dependence on translation speed.Monthly Weather Review, 137 (11): 3 744-3 757.
Lin I I, Wu C C, Emanuel K A et al.2005.The interaction of Supertyphoon Maemi (2003) with a warm ocean eddy.Monthly Weather Review, 133 (9): 2 635-2 649.
Lin I I, Wu C C, Pun I F et al.2008.Upper-ocean thermal structure and the Western North Pacific category 5 typhoons.Part I: ocean features and the category 5 typhoons intensification.Monthly Weather Review, 136 (9): 3 288-3 306.
McPhaden M J, Foltz G R, Lee T et al.2009.Ocean-atmosphere interactions during cyclone Nargis.EOS, Transactions American Geophysical Union, 90 (7): 53-54.
Moon I J, Kim S H, Kim M Y et al.2009.Numerical experiments on typhoon-ocean interaction in the Northwestern Pacific.International Workshop on Tropical Cyclone-Ocean Interaction in the Northwest Pacific, Jeju,Korea, April 2009.
Nagamani P V, Ali M M, Goni G J et al.2012.Validation of satellite-derived tropical cyclone heat potential with in situ observations in the North Indian Ocean.Remote Sensing Letters, 3 (7): 615-620.
Olbers D, Gouretski V V, Seiß G et al 1992.The Hydrographic Atlas of the Southern Ocean.Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, 17:82 plates.
Pun I F, Lin I I, Wu C R et al.2007.Validation and application of altimetry-derived upper ocean thermal structure in the western North Pacific Ocean for typhoon-intensity forecast.Geoscience and Remote Sensing, 45 (6): 1 616-1 630.
Reynolds R W, Smith T M, Liu C et al.2007.Daily highresolution-blended analyses for sea surface temperature.Journal of Climate, 20 (22): 5 473-5 496.
Schade L R, Emanuel K A.1999.The ocean's effect on the intensity of tropical cyclones: results from a simple coupled atmosphere-ocean model.Journal of the Atmospheric Sciences, 56 (4): 642-651.
Scharroo R, Smith W H F, Lillibridge J L.2005.Satellite altimetry and the intensification of Hurricane Katrina.EOS, Transactions American Geophysical Union, 86 (40): 366-366.
Shay L K, Brewster J K.2010.Oceanic heat content variability in the Eastern Pacific Ocean for hurricane intensity forecasting.Monthly Weather Review, 138 (6): 2 110-2 131.
Shay L K, Goni G J, Black P G.2000.Effects of a warm oceanic feature on Hurricane Opal.Monthly Weather Review, 128 (5): 1 366-1 383.
Sun C.2012.Global Temperature-Salinity Profile Program.http://www.nodc.noaa.gov/GTSPP/access_data/index.html.Accessed on 2014-04-20.
Wada A, Usui N.2007.Importance of tropical cyclone heat potential for tropical cyclone intensity and intensification in the western North Pacific.Journal of Oceanography, 63 (3): 427-447.
Wong A P S, Johnson G C, Owens W B.2003.Delayed-mode calibration of autonomous CTD profiling float salinity data by θ-S climatology.Journal of Atmospheric &Oceanic Technology, 20 (2): 308-318.