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Review of monsoons, interannual variability and decadal trends that underpin climate prediction OceanDocs
Susanto, D.; Vinayachandran, P.; Hacker, P.; Masumoto, Y.; Webster, P.; Godfrey, S.; Meyers, G..
Understanding and predicting the interannual variations of the whole monsoon climate system has been, and will continue to be, one of the major reasons for studying the oceanography of the Indian Ocean; but there are other reasons. Knowledge about Indian Ocean current systems may have diverse practical applications, from fisheries through search and rescue to management of Exclusive Economic Zones. Our discussion mainly concerns the open ocean and the climate applications, but the results are important for most continental shelves of the Indian Ocean region on all but the shortest timescales. We start by discussing what we know now of the Indian Ocean’s mean annual cycle, painfully gleaned from sparse observations over the last four decades. This data base...
Tipo: Working Paper Palavras-chave: Monsoons; Climate prediction.
Ano: 2002 URL: http://hdl.handle.net/1834/322
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Seasonal to decadal predictability and prediction of southern African climate OceanDocs
Kgatuke, M.J.; Landman, W.; Reason, C.J.C; Tadross, M.; Tennant, W..
Southern Africa, broadly defined here as Africa south of the equator, is a region prone to pronounced flood and drought events and significant climate variability on a range of time scales. Some of this variability is thought to be forced remotely via ENSO (e.g., Nicholson and Entekhabi, 1986; Lindesay et al., 1988; Mason and Jury, 1997; Nicholson and Kim, 1997; Reason et al., 2000; Allan et al., 2003) while some is related to variability in the neighbouring Indian and Atlantic Oceans (e.g., Hirst and Hasternrath, 1983; Lough, 1986; Ogallo et al., 1988; Walker, 1990; Mason, 1995; Reason and Mulenga, 1999; Reason, 1999; Behera and Yamagata, 2001; Rouault et al., 2003) or to local land surface processes (Zheng and Eltahir, 1998; Douville et al., 2001). It...
Tipo: Theses and Dissertations Palavras-chave: Climate prediction.
Ano: 2004 URL: http://hdl.handle.net/1834/403
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