Multi-scenario-based hazard analysis of high temperature extremes experienced in China during 1951–2010

Yin, Zhane; Yin, Jie; Zhang, Xiao‐Wei

doi:10.1007/s11442-013-1020-z

Cited by 17 publications

(15 citation statements)

References 16 publications

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“…With 825 meteorological observation stations in China, this dataset includes station attribute information (e.g., station ID, longitude, latitude) and mean monthly climatology data (e.g., temperature, humidity, precipitation, sunshine, wind speed), which have been used extensively in climate-related research across China [38]. Due to the absence of minimum daily relative humidity in the dataset, as an alternative, we collected this data from the standard value of the surface climate dataset in China during 1971 to 2000.…”

Section: Data Requirements and Preparationmentioning

confidence: 99%

National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index

Yan

Yin

2015

Atmosphere

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Tourism is a very important industry, and it is deeply affected by climate. This article focuses on the role of climate in tourism seasonality and attempts to assess the impacts of climate resources on China's tourism seasonality by using the Tourism Climate Index (TCI). Seasonal distribution maps of TCI scores indicate that the climates of most regions in China are comfortable for tourists during spring and autumn, while the climate conditions differ greatly in summer and winter, with "excellent", "good", "acceptable" and "unfavorable" existing almost by a latitudinal gradation. The number of good months throughout China varies from zero (the Tibetan Plateau area) to 10 (Yunnan Province), and most localities have five to eight good months. Moreover, all locations in China can be classified as winter peak, summer peak and bi-modal shoulder peak. The results will provide some useful information for tourist destinations, travel agencies, tourism authorities and tourists.

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Section: Data Requirements and Preparationmentioning

confidence: 99%

National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index

Yan

Yin

2015

Atmosphere

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“…Analysis of probability and intensity of extreme high temperatures are the basis of the analysis of extreme high-temperature hazards. Extreme hightemperature events can be described in terms of various parameters, such as maximum temperature, number of high temperature days and annual average temperature (Yin, 2013). In the present study, the parameters used include annual extreme high temperature and the number of warm days and warm nights (Albert et al, 2009); its probability was equal to the proportion of warm days and warm nights during a year (detailed in Table III).…”

Section: Discussionmentioning

confidence: 99%

Scenario-based hazard analysis of extreme high-temperatures experienced between 1959 and 2014 in Hulunbuir, China

Wang

Ayal

et al. 2019

IJCCSM

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Purpose Extreme high temperatures are a significant feature of global climate change and have become more frequent and intense in recent years. These pose a significant threat to both human health and economic activity, and thus are receiving increasing research attention. Understanding the hazards posed by extreme high temperatures are important for selecting intervention measures targeted at reducing socioeconomic and environmental damage. Design/methodology/approach In this study, detrended fluctuation analysis is used to identify extreme high-temperature events, based on homogenized daily minimum and maximum temperatures from nine meteorological stations in a major grassland region, Hulunbuir, China, over the past 56 years. Findings Compared with the commonly used functions, Weibull distribution has been selected to simulate extreme high-temperature scenarios. It has been found that there was an increasing trend of extreme high temperature, and in addition, the probability of its indices increased significantly, with regional differences. The extreme high temperatures in four return periods exhibited an extreme low hazard in the central region of Hulunbuir, and increased from the center to the periphery. With the increased length of the return period, the area of high hazard and extreme high hazard increased. Topography and anomalous atmospheric circulation patterns may be the main factors influencing the occurrence of extreme high temperatures. Originality/value These results may contribute to a better insight in the hazard of extreme high temperatures, and facilitate the development of appropriate adaptation and mitigation strategies to cope with the adverse effects.

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“…An extreme hot event (EHE) is a type of climate extreme in China that has a serious impact on human society and the natural environment. Thus, EHEs have been emphasized in previous studies (Ren, Feng, and Yan 2010;Yin, Yin, and Zhang 2013;Zhai and Pan 2003). It has been found that EHEs in China show distinct regional characteristics.…”

Section: Introductionmentioning

confidence: 88%

Interdecadal variability of the large-scale extreme hot event frequency over the middle and lower reaches of the Yangtze River basin and its related atmospheric patterns

Sun

2017

Atmospheric and Oceanic Science Letters

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Multi-scenario-based hazard analysis of high temperature extremes experienced in China during 1951–2010

Cited by 17 publications

References 16 publications

National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index

National Assessment of Climate Resources for Tourism Seasonality in China Using the Tourism Climate Index

Scenario-based hazard analysis of extreme high-temperatures experienced between 1959 and 2014 in Hulunbuir, China

Interdecadal variability of the large-scale extreme hot event frequency over the middle and lower reaches of the Yangtze River basin and its related atmospheric patterns

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