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  A multi-sensor climatological view of double ITCZs over the Indian Ocean

Kumar, M., Devasthale, A., Levy, G., Sankar, S., Bakan, S., & Grassl, H. (2012). A multi-sensor climatological view of double ITCZs over the Indian Ocean. International Journal of Remote Sensing, 33, 2925-2936. doi:10.1080/01431161.2011.625056.

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 Creators:
Kumar, M.R.R., Author
Devasthale, A.1, 2, Author           
Levy, G., Author
Sankar, S., Author
Bakan, Stefan3, Author           
Grassl, H.4, Author           
Affiliations:
1The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913551              
2IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, ou_913547              
3Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_913559              
4Emeritus Scientific Members, MPI for Meteorology, Max Planck Society, ou_913546              

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 Abstract: We characterize the climatological features of the double inter-tropical convergence zones (DITCZs) over the western Indian Ocean during November-December by a synergistic analysis of the Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite (HOAPS III) data (1988-2005) and the National Aeronautics and Space Administration's (NASA's) A-Train data (2002-2009). We investigate rainfall, freshwater flux and cloud liquid water, cloud fraction and relative humidity over the DITCZs. In addition, the daily rainfall data from the Global Precipitation Climatology Project (GPCP) are used to document the DITCZs during the El Niño southern oscillation (ENSO) events. An analysis of the GPCP data shows that the DITCZs are clearly discernible during strong ENSO events (1997, 2002 and 2006), in sharp contrast to the DITCZs in the eastern Pacific Ocean, where they are absent during ENSOs. Further, these convergence zones on either side of the equator are of short duration, approximately 3-6 pentads during November and December. All satellite sensor data sets consistently capture the major features of DITCZs. As an accurate simulation of DITCZs in coupled global climate models remains a challenge, the results from the present study would provide a platform for evaluating these models. © 2012 Taylor and Francis Group, LLC.

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Language(s): eng - English
 Dates: 2012-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1080/01431161.2011.625056
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Title: International Journal of Remote Sensing
  Other : Int. J. Remote Sens.
Source Genre: Journal
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Publ. Info: London : Taylor & Francis
Pages: - Volume / Issue: 33 Sequence Number: - Start / End Page: 2925 - 2936 Identifier: ISSN: 0143-1161
CoNE: https://pure.mpg.de/cone/journals/resource/954925265243