2011
DOI: 10.1007/s10584-011-0365-5
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Quantitative risk assessment for future meteorological disasters

Abstract: The 2007 Intergovernmental Panel on Climate Change report stated that in many regions extreme climate events are becoming increasingly frequent and that this trend will continue. However, few quantitative studies have examined the damage to society or industry that may be caused by future meteorological disasters. This study quantitatively estimates the risk of future drought and winter disasters (dzud) in Mongolia leading to massive livestock loss by applying an empirical treebased model to data derived from … Show more

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Cited by 24 publications
(7 citation statements)
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“…The most noticeable change occurred in northern parts of Mongolia where increases in COEs are likely attributable to geographical features that directly influence the incursion of cold air from Siberia and Arctic in winter, resulting in extremely low surface air temperatures. Our results support the conclusions of Tachiiri and Shinoda (2012), who used modelling analysis to predict the highest frequency of dzud in northern provinces in the future. Moreover, Woo et al .…”
Section: Resultssupporting
confidence: 90%
“…The most noticeable change occurred in northern parts of Mongolia where increases in COEs are likely attributable to geographical features that directly influence the incursion of cold air from Siberia and Arctic in winter, resulting in extremely low surface air temperatures. Our results support the conclusions of Tachiiri and Shinoda (2012), who used modelling analysis to predict the highest frequency of dzud in northern provinces in the future. Moreover, Woo et al .…”
Section: Resultssupporting
confidence: 90%
“…Multidisciplinary approaches to key linkages of complex natural and human systems have revealed that climate change impacts on such systems are often nonlinear, having a threshold or tipping point across which a catastrophic (and potentially nonresilient) change may occur in the system [see, e.g., Scheffer et al ., ]. For example, on the regional‐continental scale, such changes or thresholds are detected in the response of vegetation to drought [ Shinoda et al ., ], land‐surface to wind erosion or dust emission (i.e., threshold wind speed) [ Kurosaki et al ., ], and livestock mortality to dzud [ Tachiiri et al ., ; Tachiiri and Shinoda , ]. The satellite‐derived threshold wind speed was used to produce a novel semi‐real‐time wind erodibility (i.e., soil susceptibility to wind erosion) map available for a dust early warning system [ Kimura and Shinoda , ].…”
Section: Dryland Expansion Desertification and Adaptationmentioning
confidence: 99%
“…With the risk assessment method of natural disasters (Zhang and Li, 2007;Tachiiri, 2012), the technical routine of the risk assessment of sea ice disasters on oil platforms was established below (Fig. 3).…”
Section: Technical Routesmentioning
confidence: 99%