A multisensor climatological view of double ITCZs over the Indian Ocean
DRS at CSIR-National Institute of Oceanography
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Title |
A multisensor climatological view of double ITCZs over the Indian Ocean
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Creator |
Rameshkumar, M.R.
Devasthale, A. Levy, G. Sankar, S. Bakan, S. Grassl, H. |
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Subject |
intertropical convergence zone
climatology clouds models |
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Description |
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) have been characterized. The rainfall, freshwater flux and cloud liquid water, cloud fraction and relative humidity over the DITCZs is investigated. In addition, the daily rainfall data from the Global Precipitation Climatology Project (GPCP) are used to document the DITCZs during the El Nino 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. 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.
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Date |
2012-01-17T09:42:21Z
2012-01-17T09:42:21Z 2012 |
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Type |
Journal Article
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Identifier |
International Journal of Remote Sensing, vol.33(9); 2012; 2925-2936
http://drs.nio.org/drs/handle/2264/4001 |
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Language |
en
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Rights |
The final and definitive form of the preprint has been published in the "International Journal of Remote Sensing" © 2011 Taylor & Francis; "International Journal of Remote Sensing" is available online at http://www.tandf.co.uk/journals with open URL of artilce : http://dx.doi.org/10.1080/01431161.2010.543435
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Publisher |
Taylor & Francis
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