| The relationship between climate and tourism is a focus in tourism research at home and abroad in recent years. The evaluation and development of tourism climatic resources, effects of climate change on tourism resources, effects of climate change on tourism demand, effects of climate change on the reception and the tourism flow and so on are well studied by domestic and foreign tourism researchers. Tourism climate comfort degree is an important research filed in the research of relationship between climate and tourism. However, most of related researches focus on the current situation and evaluation. Few people study on the change of climate comfort degree and its rule from a relatively long time scale. And they seldom link the climate comfort degree to the monthly change of tourism passengers to explain the relationship between climate comfort degree and monthly change of tourism passengers. Based on collecting relevant datas, climate comfort degree of typial cities, the change of climate comfort degree in the past30years is analyzed, tourists'perception of climate change and its impact to their travel decision-making, the relationship between climate comfort degree and passenger, tourist's network attention, influence of climate comfort degree's change tourist's traffic are analyzed. The main results show that:(1) Xi'an residents'perception of climate change are basically the same with the actual climate change. Xi'an residents'perception of climate change are basically the same with the seasonal preference in traveling. The most comfortable season is the most willing to travel for residents, the most uncomfortable season is the most unwilling to travel for residents. This shows that climate comfort degree is an important factor which affects tourist's travel time choosing. Climate is an important factor which affects resident's destination choosing. Residents prefer to the more comfortable destination, if the other conditions are the same. Climate is an important factor which affects resident's items choosing. Items which residents prefer to is different in different season. Resident's preference in spring is similar with the autumn's. Their change trends are the same, and the degree of preference to different items is alike. The degree of preference to different items is very different in summer and winter.(2) Latitude and elevation are two important factors which affect the city's climate comfort degree. As the latitude decrease, the comprehensive climate comfort index first goes up, then goes down, it shows that climate comfort degree first goes up, then goes down as the latitude decrease. The comprehensive climate comfort index goes down as the elevation decrease along the Yangtze River, it shows that climate comfort degree goes down as the elevation decrease. As the latitude decrease, climate comfort degree of January, February and December goes up; climate comfort degree of March, April, May, October and November first goes up, then goes down; climate comfort degree of June, July, August and September goes down. The46cities are divided into four types based on the change of comprehensive climate comfort index in a year. The46cities are divided into summer comfort, winter comfort, spring and autumn comfort and four seasons comfort four types.(3) Climate comfort degree is an important factor which affects the temporal and spatial variation of tourist's network attention. Based on the data of network attention of tourist, the temporal and spatial variation of network attention of tourist in30cities are analyzed. The30cities can be divided into three kinds by the variation of network attention of tourist in a year. Based on the comparison of monthly index of network attention and climate comfort degree and numerical valued special factors, the simulated model of the monthly index of network attention of tourist are founded. Climatic coefficient elasticity of monthly index in Changchun,Beijing,Xining, Haikou is respectively0.542,0.46,1.182and0.8. Climatic coefficient elasticity of monthly index in Changbai Mountain, the Great Wall,Zhouzhuang, Zhangjiajie is respectively0.333,0.632,0.438and0.324.Climate comfort degree is one important factor which affects the spatial distribution of network attention of tourist. The number of network attention of tourist will increase (or decrease)6,410if the comprehensive climate comfort index change one.(4) Climate comfort degree is an important factor which affects the temporal and spatial variation of tourists.The number of inbound tourists from2005to2007in the26cities are collected to analyze their spatial and temporal variation, according to that they are divided into four types. Based on the comparison of monthly index of tourists and climate comfort degree and numerical valued special factors, the simulated model of the monthly index of four cities'inbound tourists are founded. Climatic coefficient elasticity of monthly index in Haerbin, Dalian,Beijing, Haikou is respectively0.666,0.372,0.625and1.227. Meanwhile the number of domestic tourists from2005to2007in4ities and tourists from2005to2007in4scenic spots are collected to analyze the correlation of domestic tourists and climate comfort degree. Climatic coefficient elasticity of monthly index in Beijing, Haikou,Zhangjiajie, Kunming is respectively0.1221,1.069,0.401and0.763. Climatic coefficient elasticity of monthly index in Jiuzhaigou, Qingcheng Mountain, Dujiangyan, Sanxingdui is respectively2.337,0.831,0.421and0.816.The spatial distribution of inbound and domestic tourists are analyzed by the abundance of tourism resources, the level of economic development, and the climate comfort degree, their statistical relation is founded. The number of inbound tourists will increase (or decrease)21.700if the comprehensive climate comfort index change one. The number of domestic tourists will increase (or decrease)307,200if the comprehensive climate comfort index change one.(5) Cities'climate comfort degree are changed by the global warming. The change of tourism climate comfort degree in the past30years is mainly affected by geographical latitude. Comprehensive climate comfort index of most cities which located in north of Chongqing city rise, so their tourism climate comfort degree rise.Comprehensive climate comfort index of most cities which located in south of Chongqing city fall, so their tourism climate comfort degree fall. THI, WCI and CCI of cities located in higher latitude changed relatively large, THI,WCI and CCI of cities located in lower latitude changed relatively little. In spring, climate comfort degree of cities located in higher latitude rise, climate comfort degree of cities located in lower latitude fall. In summer, climate comfort degree of most cities fall, and the falling degree is reducing as the latitude decrease. In autumn, climate comfort degree of most cities fall, the falling degree is increasing as the latitude decrease.In winter, climate comfort degree of cities which located in north of Nanchang city rise, the rising degree is reducing as the latitude decrease. Comprehensive climate comfort index of45cities totally increased26.8. Development of tourism in China is promoted by the variation of climate comfort degree in the last30years. But as global warming, comprehensive climate comfort index of more and more cities will fall, its effection will gradually transform into inhibition. Tourism are often affected by extreme weather and climate.The tourists loss is proportional with the base number of tourists (number of natural trend curve) in direct proportion. Loss rate of tourists is proportional with the number of natural trend curve (base number of tourists). Both the loss rate and the loss volume exist a direct proportion with the snowstorm's intensity.(6) From the climate comfort degree angle, models of domestic and inbound tourists are founded by comprehensive comfort index and relevant data of climate and tourism of the40cities, and the influence of climate change on tourism is quantitative analyzed. Result shows that Climate change has a heavy impact on domestic and inbound tourism, the number of domestic and inbound tourists will increase (or decrease)18,520and352,630if the comprehensive climate comfort index change one integrated. Tourists of most cities which located in north of Chongqing city rise, tourists of most cities which located in south of Chongqing city decrease. Influenced by the variation of climate comfort degree, domestic and inbound tourism traffic of40cities totally increased5.407million and28.4million.The main innovation points in this paper are concluded as follows:(1) A new comprehensive comfort index is founded based on assignment of THI, WCI and ICL. This new index not only can directly reflect the number of tourists in each month in a year, but also has some peculiarity like comparable, plus able and so on. (2) Few related researches link the climate comfort degree to the monthly change of tourism passengers to explain the relationship between climate comfort degree and monthly change of tourism passengers. Based on the data of network attention of tourist and the number of tourists, the temporal and spatial variation of network attention of tourist and the number of tourists are analyzed. Based on the comparison of temporal and spatial variation of network attention of tourist and the number of tourists and the temporal and spatial variation of climate comfort degree, the simulated model of the monthly index of network attention of tourist and the number of tourists are founded.(3) Impact mechanism of extreme weather and climate to tourism are analyzed. The influence of snowstorm in2008to tourism is analyzed by the theory of natural trend curve. The tourists loss is proportional with the base number of tourists (number of natural trend curve) in direct proportion. Loss rate of tourists is proportional with the number of natural trend curve (base number of tourists). Both the loss rate and the loss volume exist a direct proportion with the snowstorm's intensity.(4) There are defective in most of related researches which focus on effects of climate change on tourism demand and effects of climate change on the tourists reception at home and abroad.Because impacts of most the climate elements on the tourism industry are going beyond the limit is as bad as falling short, however their models are founded by one ore several climate factors as a variable. In this paper we take comprehensive climate comfort index as a variable, construct tourism climate models, analyze the influence of climate change on tourism from the climate comfort degree angle.
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