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A weather-resolving index for assessing the impact of climate change on tourism related climate resources

机译:一种天气分辨率指数,用于评估气候变化对与旅游相关的气候资源的影响

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摘要

This study develops and tests a Modified Climate Index for Tourism (MCIT) utilizing more than 50 years of hourly temperature, wind and significant weather data from contrasting climatic regions, Florida and Alaska. The index measures climate as a tourism resource by combining several tourism-related climate elements. It improves previous methods by incorporating variables that are more relevant to tourism activities, by addressing the overriding nature of some conditions, and by incorporating hourly observations rather than simple daily averages. The MCIT was tested using hourly weather observations from King Salmon, Alaska and Orlando, Florida. The results show that average temperature alone is not sufficient to represent tourism climate resources. For example, at both the Florida and Alaskan sites, showers and thunderstorms are more limiting factors than temperature during much of the year. When applied to past climate data, the proposed MCIT generates meaningful results that capture tourism-related climate variations and trends, including (a) the increasingly favorable tourism conditions in Alaska due to a lengthening of the warm season and (b) a decrease of ideal climatic conditions in central Florida due to the increased summer temperatures. Thus, the index has the potential to become a useful quantitative tool to be used in conjunction with climate models to predict the nature and magnitude of the impact of anticipated climate changes on tourism.
机译:这项研究利用超过50年的每小时温度,风力和来自不同气候区域(佛罗里达州和阿拉斯加)的重要天气数据,开发并测试了旅游业气候指数(MCIT)。该指数通过结合几种与旅游相关的气候要素,将气候作为一种旅游资源进行衡量。通过合并与旅游活动更相关的变量,解决某些条件的压倒性问题,合并小时观察值而不是简单的每日平均值,它改进了以前的方法。 MCIT使用每小时从阿拉斯加国王鲑鱼和佛罗里达奥兰多进行的天气观测进行测试。结果表明,仅平均温度不足以代表旅游气候资源。例如,在佛罗里达和阿拉斯加的站点中,一年中的大部分时间,阵雨和雷暴天气比温度更具限制性。当应用于过去的气候数据时,拟议的MCIT会产生有意义的结果,以捕捉与旅游相关的气候变化和趋势,包括(a)由于暖季延长而导致的阿拉斯加旅游条件日益有利,以及(b)理想条件的降低由于夏季温度升高,佛罗里达州中部的气候条件。因此,该指数有可能成为有用的定量工具,与气候模型结合使用,以预测预期气候变化对旅游业的影响的性质和程度。

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