Indian monsoon

Henderson GM, Hu CA precisely dated, high resolution record of Holocene East Asian monsoon intensity. A comparison with the millennial changes in the Indian monsoon elsewhere Geophys Res, 7... 

Molnar P, England P, Martinod J (1993) Mantle Dynamics, uplift of the Tibetan Plateau, and the Indian Monsoon. Rev Geophys 31 357-396... 

Krisnamurthy RV, Bhattacharya SK (1991) Stable oxygen and hydrogen isotope ratios in shallow ground waters from India and a study of the role of evapotranspiration in the Indian monsoon. In Stable Isotope Geochemistry A tribute to Samuel Epstein. Taylor HP, O Neil JR, Kaplan IR (eds), Geochemical Society, San Antonio, Texas, p 187-203... 

Prell WL, Kutzbach JE (1992) Sensitivity of the Indian monsoon to forcing parameters and implications for its evolution. Nature 360 647-652... 

Denniston et al. (2000) have made use of the alternating deposition of calcite and aragonite to interpret changes in the Indian monsoon season. Aragonite layers in dated speleothems in the Siddha Baba Cave in central Nepal suggest that the period 2300 to 1500 B.P. represents a dry period with greatly decreased monsoon precipitation. After 1500 B.P. calcite layers appear suggesting an abrupt increase in precipitation rate. 

The interplay of jet streams and monsoon winds is well illustrated in the Indian monsoon. During the early... 

Fleitmann, D., Bums, S.J. Mudelsee, M. (2003) Flolocene forcing of the Indian monsoon recorded in a stalagmite from Southern Oman. Science 300, 1737-1739. 

The continuous wavelet spectra of paradigmatic processes as Gaussian white noise [8] or fractional Gaussian noise [10] have been studied. The method has been applied to various real world problems of physics, climatology [6], life sciences [5] and other fields of research. Hudgins et. al. [9] defined the wavelet cross spectrum to investigate scale and time dependent linear relations between different processes. This measure found its application e.g. in atmospheric turbulence [9], the analysis of time varying relations between El Nino/Southern Oscillation and the Indian monsoon [20] as well as interrelations of business cycles from different national economies [3]. 

If the covariance is restricted to the dominant oscillations of the underlying processes and only the time resolved phase relation but no amplitude and scale information is desired, another method might be superior to wavelet coherency analysis An instantanious phase relation might be derived by Hilbert phase analyis. This method originated from synchronization analysis [14,16]. We combined this approach with a geometrically motivated filtering [13] and successfully utilized it for the analysis of the coupling between El Nino/Southern Oscillation (ENSO) and the Indian monsoon [12]. 

D. Maraun and J. Kurths. Epochs of phase coherence between El Nino/ Southern Oscillation and Indian monsoon. Geophys. Res. Lett., 32 L15709, doi 10.1029/2005GL023225, 2005. 

Claussen, M. (1997). Modeling biogeophysical feedback in the African and Indian Monsoon region. Climate Dynamics. 13, 247-257. 

Liu et al. (1999b), in simulations examining the response of the Fast Ocean Atmosphere Model (FOAM Jacob, 1998) to 11,000 yr B.P. orbital forcing, have shown that El Nino variability is reduced by ca. 20% and the spectral bandwidth of El Nino changes from the broad (3-10 year) peak characteristic of the modern simulations to a narrower peak (2-3 year) at 11,000 yr B.P. This reduction in the variability appears to be associated with the simulated increase in the Indian summer monsoon. There are, however, a number of mechanisms through which changes in the Indian summer mon.soon circulation appear to impact the El NiiTo signal. First, the enhanced Indian monsoon... 

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