IJCRR - 5(5), March, 2013
Pages: 17-42
CLIMATOLOGY AND COMPARISON STUDY OF STRATOSPHERE AND LOWER MESOSPHERE TEMPERATURES USING SATELLITE AND REANALYSIS DATA SETS.
Author: G. N. Madhavi, P. Kishore, S.V.B. Rao, Isabella Velicogna, V. Sivakumar
Category: General Sciences
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Abstract:
In this paper, GPS RO stratospheric temperatures are compared with different satellite and different model data sets. The data sets used for comparison include Japanese 25-year Reanalysis (JRA-25), UK Met office (MetO), ERA-Interim, GEOS5, and satellite temperatures are AIRS_Aqua, HIRDLS, Aura_MLS and SABER. Apart from the comparison, we also studied the seasonal variation of temperature during summer and winter in both the hemispheres. The seasonal and latitudinal variation of temperature by GPS (CHAMP+COSMIC) with other reanalysis (JRA-25, GEOS5 and METO) and satellite measurements (AURA_MLS and SABER) for both the hemispheres show reasonably good agreement. The difference of about ±0.5 to ±0.75 K is observed at 20 km, ±1K to ±1.75K at 35 km while the high values of ~3 to 4 K are observed at upper stratosphere and lower mesosphere height regions (50 km to 60 km). The GPS RO temperatures above 35 km are noticed to be warmer than reanalysis and satellite data sets in SH region. This tendency increases with increasing height and reaches its maximum at 60 km, with magnitude of 3 K to 4 K with reanalysis data sets and 2 K to 3.5 K with satellite measurements. The calculated SAO and AO amplitudes based on GPS data are found to be comparable with the earlier results.
Keywords: Middle atmosphere; Global climate, Stratosphere, Temperature Profile.
Citation:
G. N. Madhavi, P. Kishore, S.V.B. Rao, Isabella Velicogna, V. Sivakumar. CLIMATOLOGY AND COMPARISON STUDY OF STRATOSPHERE AND LOWER MESOSPHERE TEMPERATURES USING SATELLITE AND REANALYSIS DATA SETS. International Journal of Current Research and Review. 5(5), March, 17-42
References:
1. Alexander, S. P., Tsuda, T., Kawatani, Y., and Takahashi, M., 2008, Global distribution of atmospheric waves in the equatorial upper troposphere and lower stratosphere: COSMIC observations of wave mean flow interactions. J. Geophys. Res, 113, D24115, 18 PP, doi:10.1029/2008JD010039.
2. Anthes, R. A., et al., 2008, The COSMIC/FORMOSAT 3 mission: Early results, Bull. Am. Meteorol. Soc, 89, 313– 333.
3. Angell, J. K., 2003, Effect of exclusion of anomalous tropical stations on temperature trends from a 63 station radiosonde network, and comparison with other analyses. J. Clim, 16, 2288– 2295.
4. Belmont, A. D. and Dartt, D. G., 1973, Semiannual variation in zonal wind from 20 to 65 kilometers at 80ºN–10ºS. J.Geophys. Res., 78, 6373–6376.
5. Chanin, M. L., and Hauchecorne, A., 1991, Lidar study of the structure and dynamics of the middle atmosphere. Indian J. Radio Space Phys, 20, 1–11.
6. Cullather, R. I. and M. G. Bosilovich, 2011, The moisture budget of the polar atmosphere in MERRA. J. Climate, 25, 5 24.
7. Dee, D. P., and Uppala, S., 2009, Variational bias correction of satellite radiance data in the ERA Interim reanalysis. Quart. J. R. Meteorol. Soc, 135, 1830 1841.
8. Dewan, E. M., Grossbard, N., Quesada, A. F., and Good, R. E., 1984, Spectral analysis of 10 m resolution scalar velocity profiles in the stratosphere. Geophys. Res. Lett, 11, 80– 83.
9. Dunkerton, T. J., Delisi, D. P., and Baldwin, M. P., 1998, Middle atmosphere cooling trend in historical data. Geophys. Res. Letts, 25, 3371 3374.
10. Eckermann, S. D., Hirota, I., and Hocking, W. K., 1995, Gravity wave and equatorial wave morphology of the stratosphere derived from long term rocket sounding. Q. J. Roy. Meteorol. Soc, 121, 149–186.
11. Froidevaux, L., et al., 2006, Early validation analyses of atmospheric profiles from EOS MLS on the Aura satellite. IEEE Trans. Geosci. Remote Sens, 44(5), 1106–1121.
12. Gerding, M., H¨offner, J., Lautenbach, J., Rauthe, M., and L¨ubken, F.J., 2008 Seasonal variation of nocturnal temperatures between 1 and105 km altitude at 54_ N observed by lidar. Atmos. Chem. Phys, 8, 7465–7482.
13. Gille, J. C., et al., 2008 The High Resolution Dynamics Limb Sounder (HIRDLS): Experiment overview, recovery, and validation of initial temperature data. J. Geophys. Res. 113, D16S43,23 PP,doi:10.1029/2007JD008824.
14. Gobbi, G. P., Souprayen, C., Congeduti, F., Di Donfrancesco, G., Adriani, A., Viterbini, M., and Centurioni, S, 1995 Lidar observations of middle atmosphere temperature variability. Ann. Geophys, 13, 648–655.
15. Hajj, G. A., Kursinski, E. R., Romans, L. J., Betiger, W. I., and Leroy, S. S., 2002, A technical description of atmospheric sounding by GPS occultation. J. Atmos. Solar Terr. Phys, 64, 451–469.
16. Hajj, G. A., Ao, C. O., Iijima, B. A., Juang, D., Kursinski, E.R., Mannucci, A. J., Meehan, T. K., Romans, L. J., de le TorreJuarez, M., and Yunck, T. P., 2004 CHAMP and SAC C atmospheric occultation results and inter comparisons. J. Geophys. Res, 109, D06109, 24 PP, doi:10.1029/2003JD003909.
17. Hamilton, K., 1991, Climatological statistics of stratospheric inertia gravity waves deduced from historical rocketsonde wind and temperature data. J. Geophys. Res, 96, 831–839.
18. Hauchecorne, A., Chanin, M. L., and Keckhut, P., 1991 Climatology and trends of the middle atmospheric temperature (33–87 km) as seen by Rayleigh LIDAR over the south of France. J. Geophys. Res, 96, 15297–15309.
19. Hauchecorne, A., and Chanin, M. L., 1980 Density and temperature pro files obtained by lidar between 35 and 70 km. Geophys. Res.Lett,7, 565–568.
20. Hirota, I., 1980, Observational evidence of the semiannual oscillationin the middle atmosphere: A review. Pure Appl. Geophys,18, 217–238.
21. Huang, F. T., Mayr, H. G., Reber, C. A., Russell, J. M., Mlynczak,M., and Mengel, J. G., 2006, Stratospheric and mesospheric temperature variations for the quasi biennial and semiannual (QBO and SAO) oscillations based on measurements from SABER (TIMED) and MLS (UARS). Ann. Geophys, 12, 2131–2149.
22. Kitamura, Y. and Hirota, I., 1989,Small scale disturbances in the lower stratosphere revealed by daily rawinsonde observations. J. Meteorol.Soc, Japan, 67, 817–831.
23. Kishore, P., Namboothiri, S. P., Igarashi, K., Sivakumar, V., Thulasiraman,S., Subba Reddy, I. V., et al., 2006, Rayleigh LIDAR observations of planetary waves in the middle atmosphere 24. over Gadanki (13.5ºN, 79.2ºE). J. Atmos. Terr. Phys, 68, 901–910.
25. Kishore, P., Namboothiri, S. P., Jiang, J. H., Sivakumar, V., and Igarashi, K., 2009, Global temperature estimates in the troposphere and stratosphere: A validation study of COSMIC/FORMOSAT 3 measurements. Atmos.Chem.Phys, 9, 897– 908.
26. Kleist, D. T., Parrish, D.F., Derber, J.C., Treadon, R., Wu, W.S., and Lord, S.,2009,Introduction of the GSI into the NCEP Global Data Assimilation System. Wea. Forecasting, 24 (6), 1691 1705.
27. Kursinski, E. R., Hajj, G. A., Hardy, K. R., Schofield, J. T., and Lin field, R., 1997, Observing Earth’s atmosphere with radio occultation measurements using the Global Positioning System. J. Geophys. Res, 102, 23429–23465.
28. LeBlanc, L. S., Mcdermid, L. S., Hauchecorne, A., and Keckhut, P., 1998, Evaluation and optimization of lidar temperature analysis algorithms using simulated lidar data. J. Geophys. Res, 103, 6177–6187.
29. Leblanc, T., Mc Dermid, L. S., Keckhut, P., Hauchecorne, A., She, C. Y., and Krueger, D. A., 1998b, Temperature climatology of the middle atmosphere from long term LIDAR measurements at middle and low latitudes. J. Geophys. Res, 103, 17191–17204.
30. Lorenc, A. C., and Coauthors., 2000, The Met. Office global three dimensional variational data assimilation scheme. Quart. J. Roy. Meteor.Soc, 126, 2991–3012.
31. Manney, G. L. et al., 1996, Comparison of UK meteorological office and US NMC stratospheric analyses during northern and southern winter, J. Geophys. Res, 101, 10, 311 10, 334.
32. Murty G. Divakarla., Chris D. Barnet., Mitchell D. Goldberg., Larry M. Mc Millin., Eric Maddy. et al., 2006: Validation of Atmospheric Infrared Sounder temperature and water vapor retrievals with matched radiosonde measurements and forecasts. J.Geophys. Res, Vol. 111, D09S15, 20PP, doi:10.1029/2005JD006116.
33. Onogi, K., Tsutsui, J., Koide, H., Sakamoto, M., Kobayashi, S., Hatsushika, H., et al., 2007, The JRA 25 Reanalysis. J. Meteor.Soc, Japan., 85, 369 43.
34. Parkinson, C. L., 2003, Aqua: An Earth ObservingSatellite Mission to Examine Water and other Climate Variables. IEEE Trans. Geosci.Remote Sensing, 41, 173 183.
35. Randel, W. J., Boville, B. A., Gille, J. C., et al, 1994, Simulation of stratospheric N2O in the NCAR 5CCM2: comparison with CLAES data and global budget analysis. J. Atmos. Sci, 51, 2834–2845.
36. Randel, W., Udelhofen, P., Fleming, E., Geller, M., Gelman, M.,Hamilton, K., Karoly, D., et al., 2004, The SPARC Inter comparison of Middle Atmosphere Climatologies. J. Climate, 17, 986–1003.
37. Ray, E. A., Alexander, M. J., and Holton, J. R., 1998, An analysis of the structure and forcing of the equatorial semiannual oscillationin zonal wind, J. Geophys. Res, 103, 1759–1774.
38. Remsberg, E., 2003, On the verification of the quality of SABER temperature, geopotential height, and wind fields by comparison with Met Office assimilated analyses. J. Geophys. Res, 108(D19), 4628 , 10 PP, doi:1029/2003JD003720.
39. Reed, R. J., 1962, Some features of the annual temperature regime in the tropical stratosphere. Mon. Weather Rev, 90, 211– 215.
40. ocken, C., Anthes, R., Exner, M., Hunt, D., Sokolovskiy, S.,Ware, R., Gorbunov, M., Schreiner,W., Feng, D., Herman, B., Kuo, Y. H., and Zou, X., 1997,Analysis and validation of GPS/MET datain the neutral atmosphere, J. Geophys. Res, 102, 29849– 29866.
41. Rosenlof, K. H., and Reid, G. C., 2008,Trends in the temperature and water vapor content of the tropical lower stratosphere: Sea surface connection, J. Geophys. Res, 113, D06107, 15PP, doi:10.1029/2007JD009109.
42. Schoch, A., Baumgarten, G., and Fiedler, J., 2008, Polar middle atmosphere temperature climatology from Rayleigh lidar measurements at ALOMAR (69 N). Ann. Geophys, 26, 1681–1698.
43. Schollhammer, K., Marquardt, C., and Labitzke, K., 2003a, Comparison of three different meteorlogical data sets (ECMWF, Met Office and NCEP), in First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies, edited by C. Reigber, H. Luhr, and P. Schwintzer, pp. 529– 535, Springer, New York.
44. Schollhammer, K., Marquardt, C., and Labitzke, K., 2003b, Comparision of three different meteorological datasets (ECMWF, MetOffice and NCEP)and CHAMP Temperature Measurements, OIST 4 Proceedings, 4thOersted International Science Team Conference, Copenhagen June 2003, edited by P. Stauning et al., pp. 255– 260, Dan. Meteorol. Inst, Copenhage.
45. Schreiner, W., Rocken, C., Sokolovskiy, S., Syndergaard, S., andHunt, D., 2007,Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT 3 mission. Geophys. Res. Lett, 34, L04808 , 5PP, doi:10.1029/2006GL027557.
46. Schwartz, M. J., et al., 2007, Validation of Aura Microwave Limb Sounder temperature and geopotential height measurements. J. Geophys. Res, 113, D15S11, 23 PP, doi:10.1029/2007JD008783.
47. Seidel, D. J., and J. R. Lanzante., 2004, An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes. J. Geophys. Res, 109, D14108, 10PP, doi:10.1029/2003JD004414.
48. Seidel, D. J., et al., 2004,Uncertainty in signals of large scale climate variations in radiosonde and satellite upper air temperature datasets. J. Clim, 17, 2225– 2240.
49. Sica, R. J., Argall, P. S., Shepherd, T. G., and Koshyk, J. N., 2007, Model measurement comparison of mesospheric temperature inversions, and a simple theory for their occurrence, Geophys. Res.Lett, 34,L23806, 5PP, doi:10.1029/2007GL030627.
50. Simmons, A., Hortal, M., Kelly, G., McNally, A., Untch, A., and Uppala S., 2005, ECMWF analyses and forecasts of stratospheric winter polar vortex breakup: September 2002 in the Southern Hemisphere and related events. J. Atmos. Sci, 62, 668– 689.
51. Simmons, A., Uppala, S., and Dee, D., 2007b, Update on ERA Interim. ECMWF Newsletter, 111, 5.
52. Sivakumar, V., Rao, P. B., and Krishnaiah, M., 2003, Lidar measurements of stratosphere mesosphere thermal structure over a low latitude: Comparison with satellitedata and models. J. Geophys. Res, 108, D11, 11P, doi:10.1029/2002JD003029.
53. Sivakumar, V., Vishnu Prasanth, Kishore, P., Bencherif, H., and Keckhut, P., 2011, Rayleigh LIDAR and satellite (HALOE, SABER, CHAMP and COSMIC) measurements of stratosphere mesosphere temperature over a southern sub tropical site, Reunion (20.8 S, 55.5 E): climatology and comparison study.(accepted)
54. Sobel, A. H., 2007, Simple models of ensemble averaged tropical precipitation and surface wind, given the sea surface temperature. The Global Circulation of the Atmosphere, Princeton University Press, 219–251.
55. Steiner, A. K. and Kirchengast, G., 2000, Gravity wave spectra from GPS/MET occultation observations. J. Atmos. Oceanic Tech, 17, 495–503.
56. Swinbank, R., and O.Neill, A., 1994a, A stratosphere troposphere data assimilation system. Mon.Wea.Rev., 122, 686 702.
57. Swinbank, R., and O.Neill, A., 1998, Quasi biennial and semi annual oscillations in equatorial wind fields constructed by data assimilation. Geophys. Res.Lett, 21, 2099 2102.
58. Swinbank, R., Lahoz, W.A., O’Neill, A., Douglas, C.S., Heaps, A., and Podd, D., 1998, Middle atmosphere variability in the UK Meteorological Office Unified Model. Quart. J. Roy. Meteor. Soc, 124, 1485–1526.
59. Tsuda, T., VanZandt, T. E., Mizumoto, M., Kato, S., and Fukao, S.,1991, Spectral analysis of temperature and Brunt Vaisala frequency fluctuations observed by radiosondes. J. Geophys. Res, 96, 17265– 17278.
60. Tsuda, T., Nishida, M., Rocken, C., and Ware, H., 2000, A global morphology of gravity wave activity in the stratosphere revealed by the GPS occultation data (GPS/MET). J. Geophys. Res, 105(D6), 7257–7273.
61. Uppala, S. et al., 2005, The ERA 40 re analysis. Quart. J. R. Meteorol. Soc, 131, 2961–3012.
62. Uppala, S. et al., 2009, Toward a consistent re analysis of the upper stratosphere based on radiance measurements from SSU and AMSU A. Quart. J. R. Meteorol. Soc, 135, 2086 2099.
63. Wang, D. Y., Stiller, G. P., Clarmann, T. V., Fischer, H., Lopez Puertas, M., Funke, B., 2004 , Cross validation of MIPAS/ENVISAT and GPS/CHAMP temperature profiles, J.Geophys. Res, 109, D19311, 15PP, doi:10.1029/2004JD004963.
64. Wang, D. Y., von Clarmann, T., Fischer, H., et al., 2005, Validation of stratospheric temperatures measured by Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)on Envisat ,J. Geophys. Res, 110,D08301, 17PP, doi:10.1029/2004JD005342.
65. Whiteway, J. A. and Carswell, A. I., 1994, Rayleigh lidar observations of thermal structure and gravity wave activity in the high Arctic during a stratospheric warming, J. Atmos. Sci, 51, 3122–3136.
66. Wickert, J., Reigber, C., Beyerle, G., et al., 2001, Atmosphere sounding by GPS radio occultation: First results from CHAMP. Geophys.Res. Lett, 28, 3263–3266.
67. Wickert,J.,Beyerle,G.,Hajj,G.A.,Schwieger, V., Reigber,C.,2002, GPS radio Occultation with Champ:Atmospheric profiling utilizing the space based single difference technique. Geophys.Res. Lett, 29, doi: 10.1029/2001 GLO13982.
68. Wickert, J., T.Schmidt, G.Beyerle, R.Konig, C.Reigber, and N.Jakowski, 2004, The radio occultation experiment aboard CHAMP: Operational data analysis and validation of vertical atmospheric profiles. J. Meteorol. Soc, Japan, 82, 381 390.
69. Wilson, R., Hauchecorne, A., and Chanin, M. L., 1991,Gravity wave spectra in the middle atmosphere as observed by Rayleigh lidar. J. Geophys. Res, 96, 5153–5167.
70. World Meteorological Organization, 1957, Meteorology A three dimensional science. WMO Bull, 6, 134–138.
ACKNOWLEDGEMENTS
The first author (GNM) acknowledges to Advanced Centre for Atmospheric Sciences (ACAS), Sri Venkateswara University, sponsored by ISRO under RESPOND for providing Junior Research Fellowship, and lab facility to carry out this work. The authors thankful for the AIRS_AQUA, HIRDLS, AURA_MLS, SABER, GPS (CHAMP+COSMIC), ERA Interim, GEOS5, JRA 25, and MetO data centres for the public access via their website. Thanks to the authorities of S.V.University for providing the necessary facilities to carry out this work. Authors acknowledge the great help received from the scholars whose articles cited and included in the references of this manuscript. The authors are also greatful to the authors/editors/publishers of all those articles, journals and books from where the literature for this articles has been reviewed and discussed. Authors are grateful to IJCRR editorial board members and IJCRR team of reviewers who have helped to bring quality to this manuscript.
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