Climate Dynamics

, Volume 42, Issue 9–10, pp 2411–2421 | Cite as

Variability of cloud liquid water and ice over South Asia from TMI estimates

Article

Abstract

In this study, the Tropical Rainfall Measurement Mission based Microwave Imager estimates (2A12) have been used to compare and contrast the characteristics of cloud liquid water and ice over the Indian land region and the ocean surrounding it, during the premonsoon (May) and monsoon (June–September) seasons. Based on the spatial homogeneity of rainfall, we have selected five regions for our study (three over ocean, two over land). Comparison across three ocean regions suggests that the cloud liquid water (CLW) over the orographically influenced Arabian Sea (close to the Indian west coast) behaves differently from the CLW over a trapped ocean (Bay of Bengal) or an open ocean (equatorial Indian Ocean). Specifically, the Arabian Sea region shows higher liquid water for a lower range of rainfall, whereas the Bay of Bengal and the equatorial Indian Ocean show higher liquid water for a higher range of rainfall. Apart from geographic differences, we also documented seasonal differences by comparing CLW profiles between monsoon and premonsoon periods, as well as between early and peak phases of the monsoon. We find that the CLW during the lean periods of rainfall (May or June) is higher than during the peak and late monsoon season (July–September) for raining clouds. As active and break phases are important signatures of the monsoon progression, we also analysed the differences in CLW during various phases of the monsoon, namely, active, break, active-to-break and break-to-active transition phases. We find that the cloud liquid water content during the break-to-active transition phase is significantly higher than during the active-to-break transition phase over central India. We speculate that this could be attributed to higher amount of aerosol loading over this region during the break phase. We lend credence to this aerosol-CLW/rain association by comparing the central Indian CLW with that over southeast Asia (where the aerosol loading is significantly smaller) and find that in the latter region, there are no significant differences in CLW during the different phases of the monsoon. While our hypothesis needs to be further investigated with numerical models, the results presented in this study can potentially serve as a good benchmark in evaluating the performance of cloud resolving models over the Indian region.

Keywords

Cloud microphysics Hydrometeors Precipitation Aerosols Active and break monsoon 

References

  1. Berg W, L’Ecuyer T, Kummerow C (2006) Rainfall climate regimes: the relationship of regional TRMM rainfall biases to the environment. J Appl Meteor Climatol 45:434–454. doi:10.1175/JAM2331.1 CrossRefGoogle Scholar
  2. Dinku T, Anagnostou EN (2005) Regional differences in over land rainfall from PR-calibrated TMI algorithm. J Appl Meteor 44:189–205. doi:10.1175/JAM2186.1 CrossRefGoogle Scholar
  3. Gautam R, Hsu NC, Lau KM, T MK (2009) Aerosol and rainfall variability over the Indian monsoon region: distributions, trends and coupling. Ann Geophys 27:3691–3703CrossRefGoogle Scholar
  4. Gopalan K, Wang NY, Ferraro R, Liu C (2010) Status of the TRMM 2A12 land precipitation algorithm. J Atmos Ocean Technol 27:1343–1354. doi:10.1175/2010JTECHA1454.1 CrossRefGoogle Scholar
  5. Halder M, Mukhopadhyay P, Halder S (2012) Study of the microphysical properties associated with the Monsoon Intraseasonal Oscillation as seen from the TRMM observations. Ann Geophys 30:897–910. doi:10.5194/angeo-30-897-2012 CrossRefGoogle Scholar
  6. Houze RA (1982) Cloud clusters and large-scale vertical motions in the tropics. J Meteor Soc Jpn 60:396–410Google Scholar
  7. Kummerow C, Hong Y, Olson W, Yang S, Adler R, McCollum J, Ferraro R, Petty G, Shin DB, Wilheit T (2001) The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J Appl Meteorol 40(11):1801–1820CrossRefGoogle Scholar
  8. Kummerow CD, Ringerud S, Crook J, Randel D, Berg W (2011) An observationally generated a priori database for microwave rainfall retrievals. J Atmos Ocean Technol 28(2):113–130CrossRefGoogle Scholar
  9. Luo Y, Zhang R, Wang H (2009) Comparing occurrences and vertical structures of hydrometeors between eastern China and the Indian monsoon region using CloudSat/CALIPSO data. J Clim 22(4):1052–1064CrossRefGoogle Scholar
  10. Marchand R, Mace GG, Ackerman T, Stephens G (2008) Hydrometeor detection using CloudsatAn earth-orbiting 94-GHz cloud radar. J Atmos Ocean Technol 25:519–533. doi:10.1175/2007JTECHA1006.1 CrossRefGoogle Scholar
  11. Masunaga H, Iguchi T, Oki R, Kachi M (2002) Comparison of rainfall products derived from TRMM Microwave Imager and Precipitation Radar. J Appl Meteor 41:849–862CrossRefGoogle Scholar
  12. Matsuno T (1966) Quasi-geostrophic motions in the equatorial area. J Meteor Soc Jpn 44:25–43Google Scholar
  13. Noh YJ, Haar HV (2009) Comparison and validation of WRF-ARW cloud microphysics schemes during C3VP/CLEX-10 field experiment. In: 10th WRF Users’ Workshop in Boulder Colorado, 23–26 June 2009Google Scholar
  14. Olson WS, Kummerow CD, Yang S, Petty GW, Tao WK, Bell TL, Braun SA, Wang Y, Lang SE, Johnson DE, Chiu C (2006) Precipitation and latent heating distributions from satellite passive microwave radiometry. Part I: improved method and uncertainties. J Appl Meteor Climatol 45:702–720. doi:10.1175/JAM2369.1 CrossRefGoogle Scholar
  15. Panicker AS, Pandithurai G, Dipu S (2010) Aerosol indirect effect during successive contrasting monsoon seasons over Indian subcontinent using MODIS data. Atmos Environ 44:1937–1943. doi:10.1016/j.atmosenv.2010.02.015 CrossRefGoogle Scholar
  16. Rajeevan M, Rohini P, Niranjan Kumar K, Srinivasan J, Unnikrishnan CK (2012) A study of vertical cloud structure of the Indian summer monsoon using CloudSat data. Clim Dyn 1–14. doi:10.1007/s00382-012-1374-4
  17. Tao WK, Lang S, Olson WS, Meneghini R, Yang S, Simpson J, Kummerow C, Smith E, Halverson J (2001) Retrieved vertical profiles of latent heat release using TRMM rainfall products for February 1988. J Appl Meteor 40:957–982CrossRefGoogle Scholar
  18. Wang NY, Liu C, Ferraro R, Wolff D, Zipser E, Kummerow C (2009) TRMM 2A12 land precipitation productstatus and future plans. J Meteor Soc Jpn 87A:237–253CrossRefGoogle Scholar
  19. Webster PJ (1972) Response of tropical atmosphere to local, steady forcing. Mon Weather Rev 100:518–541CrossRefGoogle Scholar
  20. Zuluaga MD, Hoyos CD, Webster PJ (2010) Spatial and temporal distribution of latent heating in the South Asian monsoon region. J Clim 23:2010–2029. doi:10.1175/2009JCLI3026.1 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Centre for Atmospheric and Oceanic SciencesIndian Institute of ScienceBangaloreIndia

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