2009
DOI: 10.1073/pnas.0807346106
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Changes in the Asian monsoon climate during 1700–1850 induced by preindustrial cultivation

Abstract: Preindustrial changes in the Asian summer monsoon climate from the 1700s to the 1850s were estimated with an atmospheric general circulation model (AGCM) using historical global land cover/use change data reconstructed for the last 300 years. Extended cultivation resulted in a decrease in monsoon rainfall over the Indian subcontinent and southeastern China and an associated weakening of the Asian summer monsoon circulation. The precipitation decrease in India was marked and was consistent with the observationa… Show more

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Cited by 83 publications
(84 citation statements)
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“…The change in these fluxes into the atmosphere will result in the alteration of a wide variety of climate variables, including the locations of major weather features. For example, Takata et al (2009) demonstrated the major effect of land use change during the period of 1700-1850 on the Asian monsoon. As land cover change accelerated after 1850 and continues into the future, LULCC promises to continue to alter the surface pattern of sensible and latent heat input to the atmosphere.…”
Section: Final Remarksmentioning
confidence: 99%
“…The change in these fluxes into the atmosphere will result in the alteration of a wide variety of climate variables, including the locations of major weather features. For example, Takata et al (2009) demonstrated the major effect of land use change during the period of 1700-1850 on the Asian monsoon. As land cover change accelerated after 1850 and continues into the future, LULCC promises to continue to alter the surface pattern of sensible and latent heat input to the atmosphere.…”
Section: Final Remarksmentioning
confidence: 99%
“…Previous studies have only evaluated the effects of respective forcing on continental-scale, NH-mean, or global-mean climate features (e.g., Phipps et al 2013;Schurer et al 2013Schurer et al , 2014Otto-Bliesner et al 2016). Monsoon responses to historical land use changes (e.g., Takata et al 2009), aerosol forcing (e.g., Bollasina et al 2011;Polson et al 2014), and TSI (e.g., Shi et al 2014) should be further evaluated in a multi-model framework. Further modeling work may contribute to better understanding of the forced monsoon response and its internal variability on interannual, decadal, centennial, and millennial timescales.…”
Section: Data-model and Model-model Comparisonsmentioning
confidence: 99%
“…This difference contributes partly to inter-model spread among simulation outputs. Varying land uses over time such as gradually increasing cropland and pasture area (Schmidt et al 2012) prescribed in these simulations can affect regional climate variability, including surface temperature and monsoon systems (Takata et al 2009;He et al 2014). Historical GHG concentrations (CO 2 , CH 4 and N 2 O) are derived from ice cores in Antarctica (Schmidt et al 2011).…”
Section: Pmip3 Multiple Model Ensemblementioning
confidence: 99%
“…Thus, because of changes in physical parameters such as surface albedo, roughness, and evapotranspiration, LUCC influences the transfer of energy between the land surface and the atmosphere, as well as water and momentum transmission, and the exchange of trace gases (such as CO 2 ) [3,4]. A number of researchers have utilized observational statistics and model simulations to verify these effects [5][6][7][8][9][10][11][12], as more-and-more frequent extreme weather events (e.g., heavy rainfall, heat waves, floods, and droughts) since the 1950s have caused natural disasters because of global warming [13][14][15][16]. Researchers around the world are increasingly focusing attention on the causes and mechanisms of extreme climate events.…”
Section: Introductionmentioning
confidence: 99%