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1.
An analysis of climate simulations from a point of view of tourism climatology based on two regional climate models, namely REMO and CLM, was performed for a regional domain in the southwest of Germany, the Black Forest region, for two time frames, 1971?C2000 that represents the twentieth century climate and 2021?C2050 that represents the future climate. In that context, the Intergovernmental Panel on Climate Change (IPCC) scenarios A1B and B1 are used. The analysis focuses on human-biometeorological and applied climatologic issues, especially for tourism purposes ?C that means parameters belonging to thermal (physiologically equivalent temperature, PET), physical (precipitation, snow, wind), and aesthetic (fog, cloud cover) facets of climate in tourism. In general, both models reveal similar trends, but differ in their extent. The trend of thermal comfort is contradicting: it tends to decrease in REMO, while it shows a slight increase in CLM. Moreover, REMO reveals a wider range of future climate trends than CLM, especially for sunshine, dry days, and heat stress. Both models are driven by the same global coupled atmosphere?Cocean model ECHAM5/MPI-OM. Because both models are not able to resolve meso- and micro-scale processes such as cloud microphysics, differences between model results and discrepancies in the development of even those parameters (e.g., cloud formation and cover) are due to different model parameterization and formulation. Climatic changes expected by 2050 are small compared to 2100, but may have major impacts on tourism as for example, snow cover and its duration are highly vulnerable to a warmer climate directly affecting tourism in winter. Beyond indirect impacts are of high relevance as they influence tourism as well. Thus, changes in climate, natural environment, demography, tourists?? demands, among other things affect economy in general. The analysis of the CLM results and its comparison with the REMO results complete the analysis performed within the project Climate Trends and Sustainable Development of Tourism in Coastal and Low Mountain Range Regions (CAST) funded by the German Federal Ministry of Education and Research (BMBF). 相似文献
2.
Summary The study was aimed at inferring spatial patterns of climatic zones as well as identifying significant discriminating bioclimatic
controls for distribution of major ecosystems in Turkey, based on multivariate analyses. A total of 12 climate variables and
11 bioclimatic indices for the period of 1968–2004 at 272 meteorological stations, and four location data (latitudes, longitudes,
altitudes, and distance to sea) were analyzed using discriminant analysis (DA), hierarchical and non-hierarchical cluster
analyses (CA), principal components analysis (PCA), and multiple linear regression (MLR) models. The first three and four
linear discriminant functions (LDFs) explained 88 and 95% of the variation in the dataset, respectively. The efficacy of the
discriminant model was high (85.5%) based on the cross-validation method. The hierarchical and non-hierarchical CA pointed
to seven clusters (climate types) that can be observed on the basis of broad climatic similarity of 97%. PCA elucidated 78%
of variation in the dataset. MLR models that accounted for variations in the 12 climatic response variables as a function
of the four location variables and aspect had R
2 values ranging from 28.8% for precipitation to 89.8% for mean air temperature and soil temperature for a depth of 5 cm. The
multivariate analyses indicated that the meteorological stations are heterogeneous clusters consisting of the seven climatic
zones. However, differences in the bioclimatic variables at the boundaries complicate the natural clustering scheme of a multidimensional
cloud of data points and were detected in a climatologically plausible manner by the Ward and K-means CA, and PCA. Our multivariate
approach revealed that the commonly used climatic zones are insufficient representations of the inferred climatic zones: (1)
the coastal Black Sea; (2) the inland Black Sea; (3) the southeastern Anatolia; (4) the eastern Anatolia; (5) the central
Anatolia; (6) the Mediterranean; and (7) the Aegean.
Authors’ addresses: F. Evrendilek, Department of Environmental Engineering, Faculty of Engineering and Architecture, Abant
Izzet Baysal University, G?lk?y Cambus, 14280 Bolu, Turkey; S. Berberoglu, Department of Landscape Architecture, Cukurova
University, Balcali-Adana, Turkey. 相似文献
3.
Robert J. Zomer Antonio Trabucco Marc J. Metzger Mingcheng Wang Krishna P. Oli Jianchu Xu 《Climatic change》2014,125(3-4):445-460
Rapidly accelerating climate change in the Himalaya is projected to have major implications for montane species, ecosystems, and mountain farming and pastoral systems. A geospatial modeling approach based on a global environmental stratification is used to explore potential impacts of projected climate change on the spatial distribution of bioclimatic strata and ecoregions within the transboundary Kailash Sacred Landscape (KSL) of China, India and Nepal. Twenty-eight strata, comprising seven bioclimatic zones, were aggregated to develop an ecoregional classification of 12 ecoregions (generally defined by their potential dominant vegetation type), based upon vegetation and landcover characteristics. Projected climate change impacts were modeled by reconstructing the stratification based upon an ensemble of 19 Earth System Models (CIMP5) across four Representative Concentration Pathways (RCP) emission scenarios (i.e. 63 impact simulations), and identifying the change in spatial distribution of bioclimatic zones and ecoregions. Large and substantial shifts in bioclimatic conditions can be expected throughout the KSL area by the year 2050, within all bioclimatic zones and ecoregions. Over 76 % of the total area may shift to a different stratum, 55 % to a different bioclimatic zone, and 36.6 % to a different ecoregion. Potential impacts include upward shift in mean elevation of bioclimatic zones (357 m) and ecoregions (371 m), decreases in area of the highest elevation zones and ecoregions, large expansion of the lower tropical and sub-tropical zones and ecoregions, and the disappearance of several strata representing unique bioclimatic conditions within the KSL, with potentially high levels of biotic perturbance by 2050, and a high likelihood of major consequences for biodiversity, ecosystems, ecosystem services, conservation efforts and sustainable development policies in the region. 相似文献
4.
中国人类生物气候区划初探 总被引：3，自引：1，他引：3
为研究气温，湿度，风速和太阳辐射对人体冷热感的综合影响，利用有效温度和风冷指数以及我国６５７个气象站３０年的气候资料，做了中国人类生物气候区划。结果表明，我国冬季大致可分为２７个生物气候区，夏季一般可分为２０个生物气候区。区划结果对旅行，定居，城市建设，事行动等人类活动有参考价值。 相似文献
5.
Andreas Matzarakis Joscha Rammelberg Jürgen Junk 《Theoretical and Applied Climatology》2013,114(1-2):193-202
Tourism destinations often require information about climate to assess their climate potential. This can be performed in terms of mean conditions of relevant climatological parameters. For a user-friendly analysis and visualization of climate data relevant for tourism application in Luxembourg, information is prepared based on the facets of climate in tourism. Information on thermal comfort/stress conditions as well as aesthetical and physical parameters is considered. In the present study, relevant and sensible factors were identified and presented. Therefore, physiologically equivalent temperature, precipitation patterns and the Climate-Tourism/Transfer-Information-Scheme are applied. In addition, extreme events relevant for heat stress are analysed based on existing data sets (i.e. heat waves of 2010). Expected climatic conditions for the future are investigated using the projections of two different regional climate models. The results concerning climate change conditions reveal increasing heat stress and sultriness but decreasing cold stress. This information is the basis for an adequate assessment to provide relevant information for different environmental planning issues as well as for the growing tourism sector of Luxembourg. 相似文献
6.
Onur ?al??kan ?hsan ?i?ek Andreas Matzarakis 《Theoretical and Applied Climatology》2012,107(3-4):417-425
Climate is an important resource for tourism and an equally important element that needs to be included in tourism promotions. This study reveals Bursa’s bioclimatological conditions. These conditions were identified by using physiologically equivalent temperature and a Climate–Tourism–Information–Scheme over 10-day periods and analyzing the mean thermal perception values that emerged. Evaluating bioclimatic conditions and meteorological parameters such as air temperature, duration of sunshine, number of wet days, amount of precipitation, and wind from the perspective of tourism will help people choose the best holiday times depending on their individual needs and circumstances. 相似文献
7.
In this paper, the thermal comfort and its changes in the Qinghai–Tibet Plateau over the last 50 years have been evaluated by using the physiological equivalent temperature (PET), and a more complete tourism climate picture is presented by the Climate–Tourism–Information Scheme (CTIS). The results show that PET classes in the Qinghai–Tibet Plateau cover six out of the nine-point thermal sensation scale — very cold, cold, cool, slightly cool, neutral and slightly warm — and cold stress is prevailing throughout the year. A small number of slightly cool/warm and neutral days occur in summer months. There occur no warm, hot and very hot days. The frequency of PET classes varies among regions, depending on their altitude/latitude conditions. Xining, Lhasa and Yushu are the top three cities in terms of thermal favorability. With global warming, annual cumulative number of thermally favorable days has been increasing, and that of cold stress has been reducing. The change is more obvious in lower elevation than that in higher elevation regions. The improving thermal comfort in the Qinghai–Tibet Plateau might be a glad tiding for local communities and tourists. Besides PET, CTIS can provide a number of additional bioclimatic information related to tourism and recreational activities. CTIS for Lhasa and Xining shows that sunshine is plentiful all the year round, and windy days occur frequently from late January to early May. This is a useful bioclimatic information for tourism authorities, travel agencies, resorts and tourists. 相似文献
8.
Mira Paskota Dragana Vujović Nedeljko Todorović 《Theoretical and Applied Climatology》2013,113(1-2):317-328
Starting from the standpoint that there are seasonal differences of climate variations on both global and local level, the authors of this paper had focused on analyzing climatologic parameters in winter months. The trends of several important parameters were detected, with temperature and precipitation having increasing, but number of ice days and snow cover having decreasing trends. Spectral analysis showed repetitive nature of climatologic parameters, some of them having the same or similar periods of about 6 to 7 years, 10 to 12 or 17.5 years, and 22 to 24 years. The precipitation has periodicity of 8 and 14 years. Further analysis of the underlying structure of the data by principal component analysis detected three easily explained dimensions: Temperature-Snow, Precipitation-Cyclone and Spring-in-Winter dimension. The spectral analysis of three virtual variables obtained by principal component analysis confirmed good agreement of original variables with the virtual dimensions. 相似文献
9.
Sabine L. Perch-Nielsen 《Climatic change》2010,100(3-4):579-606
The attractiveness of a region for touristic activities depends strongly on the local weather and climate. This paper analyses the vulnerability of the beach tourism sector towards climate change by means of an index approach on a country level. A vulnerability framework for the tourism sector is developed and on its basis, indicators are defined for exposure, sensitivity and adaptive capacity. A transparent index approach, including a robustness analysis with multiple transformation methods and weighting sets, yields an assessment of the overall relative vulnerability of the beach tourism sector in 51 countries. Aggregate results on an annual level are presented as a starting point for a more detailed comparison of countries based on the individual indicators. The important limitations regarding the availability of accurate indicators as well as the concept of vulnerability itself are discussed. Despite these limitations, the present study contributes to integrating the numerous direct as well as indirect effects climate change may have on beach tourism. 相似文献
10.
Modeling Dynamic Vegetation Response to Rapid Climate Change Using Bioclimatic Classification 总被引：2，自引：0，他引：2
Modeling potential global redistribution of terrestrial vegetation frequently is based on bioclimatic classifications which relate static regional vegetation zones (biomes) to a set of static climate parameters. The equilibrium character of the relationships limits our confidence in their application to scenarios of rapidly changing climate. Such assessments could be improved if vegetation migration and succession would be incorporated as response variables in model simulations. We developed the model MOVE (Migration Of VEgetation), to simulate the geographical implications of different rates of plant extirpation and in-migration. We used the model to study the potential impact on terrestrial carbon stocks of climate shifts hypothesized from a doubling of atmospheric greenhouse gas concentration. The model indicates that the terrestrial vegetation and soil could release carbon; the amount of this carbon pulse depends on the rate of migration relative to the rate of climate change. New temperate and boreal biomes, not found on the landscape today, increase rapidly in area during the first 100 years of simulated response to climate change. Their presence for several centuries and their gradual disappearance after the climate ceases to change adds uncertainty in calculating future terrestrial carbon fluxes. 相似文献
11.
Research in developing countries concerning the relationship of weather and climate conditions with tourism shows a high importance not only because of financial aspects but also an important part of the region’s tourism resource base. Monthly mean air temperature, relative humidity, precipitation, vapor pressure, wind velocity, and cloud cover for the period 1985–2005 data collected from four meteorological stations Tabriz, Maragheh, Orumieh, and Khoy were selected. The purpose of this study is to determine the most suitable months for human thermal comfort in Ourmieh Lake, a salt sea in the northwest of Iran. To achieve this, the cooling power and physiologically equivalent temperature (PET) calculated by the RayMan model and the Climate Tourism/Transfer Information Scheme (CTIS) were used. The results based on cooling power indicate that the most favorable period for tourism, sporting, and recreational activities in Ourmieh Lake is between June and October and based on PET between June to September. In addition, the CTIS shows a detailed quantification of the relevant climate–tourism factors. 相似文献
12.
B. G. Sherstyukov 《Russian Meteorology and Hydrology》2007,32(9):557-564
A statistical method is proposed for prediction of monthly mean, seasonal mean, and annual mean temperatures with 12-month projection. The method is based upon revealing latent rhythms of the climate system which force sequences of interannual disturbances in air temperature. In selection of the rhythms with prognostic information, it is taken into account that season-to-season transition violates the time series stationarity. The forecast verification shows advantage of the proposed method as compared with climatologic forecasts. 相似文献
13.
Projections of vegetation distribution that incorporate the transient responses of vegetation to climate change are likely to be more efficacious than those that assume an equilibrium between climate and vegetation. We examine the non-equilibrium dynamics of a temperate forest region under historic and projected future climate change using the dynamic ecosystem model LPJ-GUESS. We parameterized LPJ-GUESS for the New England region of the United Sates utilizing eight forest cover types that comprise the regionally dominant species. We developed a set of climate data at a monthly-step and a 30-arc second spatial resolution to run the model. These datasets consist of past climate observations for the period 1901?C2006 and three general circulation model projections for the period 2007?C2099. Our baseline (1971?C2000) simulation reproduces the distribution of forest types in our study region as compared to the National Land Cover Data 2001 (Kappa statistic?=?0.54). Under historic and nine future climate change scenarios, maple-beech-basswood, oaks and aspen-birch were modeled to move upslope at an estimated rate of 0.2, 0.3 and 0.5?m?yr?1 from 1901 to 2006, and continued this trend at an accelerated rate of around 0.5, 0.9 and 1.7?m?yr?1 from 2007 to 2099. Spruce-fir and white pine-cedar were modeled to contract to mountain ranges and cooler regions of our study region under projected future climate change scenarios. By the end of the 21st century, 60% of New England is projected to be dominated by oaks relative to 21% at the beginning of the 21st century, while northern New England is modeled to be dominated by aspen-birch. In mid and central New England, maple-beech-basswood, yellow birch-elm and hickories co-occur and form novel species associations. In addition to warming-induced northward and upslope shifts, climate change causes more complex changes in our simulations, such as reversed conversions between forest types that currently share similar bioclimatic ranges. These results underline the importance of considering community interactions and transient dynamics in modeling studies of climate change impacts on forest ecosystems. 相似文献
14.
利用2015—2019年丽水市283个气象观测站的逐日和逐时资料,采用中国气象局“避暑旅游气候适宜度评价方法”行业标准,在研究避暑旅游气候适宜度时空分布的基础上,运用GIS平台建立不同地形条件下避暑旅游适宜度地理推算模型,对丽水避暑旅游气候适宜度进行区划。结果表明,丽水山地夏季避暑旅游气候适宜等级为很适宜,所占区域居绝对比重。6月丽水各站避暑适宜度为很适宜,以海拔800 m为界,随着海拔高度的升高,适宜度先增后减。7—8月避暑旅游气候适宜度随海拔高度增加而提升,300 m以上为较适宜及以上级别。地理推算模型表明,丽水避暑旅游气候适宜度与海拔高度密切相关,庆元适宜及以上等级区域面积占比为全市最高,避暑旅游气候条件最优,其次景宁、遂昌、龙泉避暑旅游气候适宜度也较优越。 相似文献
15.
As global warming is scientifically and widely accepted, its impacts at regional scales are raising many questions for wine producers. In particular, climate parameters, especially temperature, play a decisive role in vine growth and grape ripening. An overview of expected climate change in terms of bioclimatic indexes (Winkler and Huglin) and thermal extremes in the wine-producing region of Champagne is presented. A variable-grid atmospheric general circulation model, ARPEGE-Climate, with a local zoom at 50 km over the area of interest, is used to investigate potential future changes in thermal extremes and bioclimatic indexes. Changes in daily maximum and minimum temperatures at key stages are discussed for three emission scenarios (B1, A1B, A2) that are currently used in studies of impacts of climate change. Model outputs are analyzed and critically assessed for a control period (1971–2000) and for changes in extreme events in relation to future scenarios, such as a decrease in extreme low temperatures in spring (April) during bud break and an increase in extreme high temperatures in summer, associated with more frequent heat waves during ripening. 相似文献
16.
With the goal of finding summer climate patterns in the region of Belgrade (Serbia) over the period 1888–2013, different techniques of multivariate statistical analysis were used in order to analyze the simultaneous changes of a number of climatologic parameters. An increasing trend of the mean daily minimum temperature was detected. In the recent decades (1960–2013), this increase was much more pronounced. The number of days with the daily minimum temperature greater or equal to 20 °C also increased significantly. Precipitation had no statistically significant trend. Spectral analysis showed a repetitive nature of the climatologic parameters which had periods that roughly can be classified into three groups, with the durations of the following: (1) 6 to 7 years, (2) 10 to 18 years, and (3) 21, 31, and 41 years. The temperature variables mainly had one period of repetitiveness of 5 to 7 years. Among other variables, the correlations of regional fluctuations of the temperature and precipitation and atmospheric circulation indices were analyzed. The North Atlantic oscillation index had the same periodicity as that of the precipitation, and it was not correlated to the temperature variables. Atlantic multidecadal oscillation index correlated well to the summer mean daily minimum and summer mean temperatures. The underlying structure of the data was analyzed by principal component analysis, which detected the following four easily interpreted dimensions: More sunshine-Higher temperature, Precipitation, Extreme heats, and Changeable summer. 相似文献
17.
Climate change might lead to large shifts in tourist flows, with large economic implications. This article simulates the effect
of future climate change by the 2080s on outdoor international tourism expenditure within Europe. The assessment is based
on the statistical relationship between bed nights and a climate-related index of human comfort, after accounting for other
determinants of bed nights such as income and prices. It is concluded that climate change could have significant impacts on
the regional distribution of the physical resources supporting tourism in Europe. For example, in summer, Southern Europe
could experience climate conditions that are less favourable to tourism than the current climate, while countries in the North
could enjoy better conditions. The economic effects of these changes are likely to be sizeable, albeit difficult to assess.
Crucially, they are shown to depend on tourists’ temporal flexibility with respect to holiday planning. The greater the prominence
of institutional rigidities such as school holidays, the larger the differences between winning and losing regions in terms
of economic impact. 相似文献
18.
Chris Jones Jonathan Gregory Robert Thorpe Peter Cox James Murphy David Sexton Paul Valdes 《Climate Dynamics》2005,25(2-3):189-204
FAMOUS is an unfluxadjusted coupled atmosphere-ocean general circulation model (AOGCM) based on the Met Office Hadley Centre
AOGCM HadCM3. Its parametrisations of physical and dynamical processes are almost identical to those of HadCM3, but by virtue
of reduced horizontal and vertical resolution and increased timestep it runs about ten times faster. The speed of FAMOUS means
that parameter sensitivities can be investigated more thoroughly than in slower higher-resolution models, with the result
that it can be tuned closer to its target climatology. We demonstrate a simple method for systematic tuning of parameters,
resulting in a configuration of FAMOUS whose climatology is significantly more realistic than would be expected for a model
of its resolution and speed. FAMOUS has been tuned to reproduce the behaviour of HadCM3 as nearly as possible, in order that
experiments with each model are of maximum relevance to the physical interpretation of the other. Analysis of the control
climate and climate change simulation of FAMOUS show that it possesses sufficient skill for its intended purposes in Earth
system science as a tool for long-timescale integrations and for large ensembles of integrations, when HadCM3 cannot be afforded.
Thus, it can help to bridge the gap between models of intermediate complexity and the higher-resolution AOGCMs used for policy-relevant
climate prediction. 相似文献
19.
What drives the development of climate policy? Brazil, China, and India have all changed their climate policies since 2000, and single-case analyses of climate policymaking have found that all three countries have had climate coalitions working to promote climate policies. To what extent have such advocacy coalitions been able to influence national policies for climate-change mitigation, and what can explain this? Employing a new approach that combines the advocacy coalition framework (ACF) with insights from comparative environmental politics and the literature on policy windows, this paper identifies why external parameters like political economy and institutional structures are crucial for explaining the climate advocacy coalitions’ ability to seize policy windows and influence policy development. We find that the coalitions adjust their policy strategies to the influence-opportunity structures in each political context—resulting in confrontation in Brazil, cooperation in China, and a complementary role in India. 相似文献
20.
Framing the way to relate climate extremes to climate change 总被引：3，自引：1，他引：2
Kevin E. Trenberth 《Climatic change》2012,115(2):283-290
The atmospheric and ocean environment has changed from human activities in ways that affect storms and extreme climate events. The main way climate change is perceived is through changes in extremes because those are outside the bounds of previous weather. The average anthropogenic climate change effect is not negligible, but nor is it large, although a small shift in the mean can lead to very large percentage changes in extremes. Anthropogenic global warming inherently has decadal time scales and can be readily masked by natural variability on short time scales. To the extent that interactions are linear, even places that feature below normal temperatures are still warmer than they otherwise would be. It is when natural variability and climate change develop in the same direction that records get broken. For instance, the rapid transition from El Ni?o prior to May 2010 to La Ni?a by July 2010 along with global warming contributed to the record high sea surface temperatures in the tropical Indian and Atlantic Oceans and in close proximity to places where record flooding subsequently occurred. A commentary is provided on recent climate extremes. The answer to the oft-asked question of whether an event is caused by climate change is that it is the wrong question. All weather events are affected by climate change because the environment in which they occur is warmer and moister than it used to be. 相似文献