1961-2008年中国西南地区极端气候变化幅度的海拔效应(英文)

A total of 12 indices of temperature extremes and 11 indices of precipitation ex-tremes at 111 stations in southwestern China at altitudes of 285-4700 m were examined for the period 1961-2008. Significant correlations of temperature extremes and elevation in-cluded the trends of diurnal temperature range, frost days, ice days, cold night frequency and cold day frequency. Regional trends of growing season length, warm night frequency, coldest night and warmest night displayed a statistically significant positive correlation with altitude. These characteristics indicated the obvious warming with altitude. For precipitation extreme indices, only the trends of consecutive dry days, consecutive wet days, wet day precipitation and the number of heavy precipitation days had significant correlations with increasing alti-tude owing to the complex influence of atmospheric circulation. It also indicated the increased precipitation mainly at higher altitude areas, whereas the increase of extreme precipitation events mainly at lowers altitude. In addition, the clearly local influences are also crucial on climate extremes. The analysis revealed an enhanced sensitivity of climate extremes to ele-vation in southwestern China in the context of recent warming.     

基于方志资料重建1644-1949年长江三角洲地区台风频次序列(英文)

The proxy records on typhoons in the Yangtze River Delta from 1644 to 1949AD were extracted from historical chorographies in the Qing Dynasty and the Republic of China Period.In reference to the basic principles for identifying historical typhoons,time series on the Yangtze River Delta over a period of 306 years were developed.The conclusions are as follows.(1) There were a total of 241 typhoons from 1644 to 1949AD.Using the historical chorographies from 1884 to 1949AD,the number of typhoons was 65,equal to 87.8% recorded by meteorological observation.The number of years with differences in typhoon activities reconstructed using two ways no more than once is 55,reaching 83.3% in the period from 1884 to 1949AD.This result means the series of historical typhoons reconstructed using historical chorographies can represent the change of typhoon activities over years.(2) The average number of typhoon activities is 0.79 times per year from 1644 to 1949AD,and they show an increasing trend.These 306 years can be divided into three periods by the average number of typhoon activities:it is low from 1644 to 1784AD,and more typhoon activities are found from 1785 to 1904AD.It is worth noting that the number of typhoon activities reaches the summit in the last period,which is 1.2 times per year from 1905 to 1949AD.(3) Before the 20th century,the number of typhoon activities in warm periods is less than the number of cold periods.However,the number of typhoon activities increased dramatically in the early 20th century.Comparing the typhoon activities with El Ni o events,the data show that the number of typhoon activities did not increase when El Ni o occurred.     

Adaptation models of mountain glacier tourism to climate change: a case study of Mt. Yulong Snow scenic area

Mountain glaciers have an obvious location advantage and tourist market condition over polar and high latitude glaciers. Due to the enormous economic benefit and heritage value, some mountain glaciers will always receive higher attention from commercial media, government departments and mountain tourists in China and abroad. At present, more than 100 glaciers have been developed successfully as famous tourist destinations all over the world. However, global climate change seriously affects mountain glaciers and its surrounding environment. According to the current accelerated retreat trend, natural and cultural landscapes of some glaciers will be weakened, even disappear in the future. Climate change will also inevitably affect mountain ecosystems, and tourism routes under ice and glacier experience activities in these ecosystems. Simultaneously, the disappearance of mountain glaciers will also lead to a clear reduction of tourism and local economic benefits. Based on these reasons, this paper took Mt. Yulong Snow scenic area as an example and analyzed the retreat trend of a typical glacier. We then put forward some scientific and rational response mechanisms and adaptation models based on climate change in order to help future sustainable development of mountain glacier tourism.     

Validation of the effects of temperature simulated by multi-model ensemble and prediction of mean temperature changes for the next three decades in China

Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation, we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi- model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of 1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C.     

Snow water equivalent over Eurasia in the next 50 years projected by aggregated CMIP3 models

Based on remote sensing snow water equivalent (SWE) data, the simulated SWE in 20C3M experiments from 14 models attending the third phase of the Coupled Models for Inter-comparison Project (CMIP3) was first evaluated by computing the different percentage, spatial correlation coefficient, and standard deviation of biases during 1979–2000. Then, the diagnosed ten models that performed better simulation in Eurasian SWE were aggregated by arithmetic mean to project the changes of Eurasian SWE in 2002–2060. Results show that SWE will decrease significantly for Eurasia as a whole in the next 50 years. Spatially, significant decreasing trends dominate Eurasia except for significant increase in the northeastern part. Seasonally, decreasing proportion will be greatest in summer indicating that snow cover in warmer seasons is more sensitive to climate warming. However, absolute decreasing trends are not the greatest in winter, but in spring. This is caused by the greater magnitude of negative trends, but smaller positive trends in spring than in winter. The changing characteristics of increasing in eastern Eurasia and decreasing in western Eurasia and over the Qinghai-Tibetan Plateau favor the viewpoint that there will be more rainfall in North China and less in the middle and lower reaches of the Yangtze River in summer. Additionally, the decreasing rate and extent with significant decreasing trends under SRES A2 are greater than those under SRES B1, indicating that the emission of greenhouse gases (GHG) will speed up the decreasing rate of snow cover both temporally and spatially. It is crucial to control the discharge of GHG emissions for mitigating the disappearance of snow cover over Eurasia.     

三江平原气温降水变化分析——以建三江垦区为例

气温及降水与人类生产生活密切联系,其变化必然会对生态系统和社会经济等产生重大影响。利用三江平原建三江垦区15个农场气象站1965～2002年气温和降水资料,运用气候趋势系数和一元回归分析法进行气候变化分析。结果表明:近40年来本区气温呈显著上升趋势,平均气温以0.50℃/10a幅度升高,不同季节平均气温均呈上升趋势,且冬季增幅最大,达0.82℃/10a。气温升高存在显著的区域差异,最大的增温中心位于南部边缘,气温倾向率大于0.60℃/10a。降水趋势性变化不显著,但仍呈弱减少趋势,年降水量倾向率为-1.90mm/10a,四季降水量以秋季减少最为显著。在此基础上进行气候突变分析,结果表明气温突变出现在1987年,降水突变出现在1980年和1997年,但降水突变不明显。研究三江平原建三江垦区的气候变化对于保障区域粮食安全具有重要的指导意义。     

近540 a东亚夏季海平面气压场的重建及其与数值模拟的比较

 基于中国东部地区旱涝分布和东亚夏季海平面气压存在密切关系的基础上,利用1470—2008年中国东部地区旱涝等级资料、1850—2008年东亚夏季海平面气压资料,运用主成分回归的方法重建了1470—2008年的东亚地区夏季海平面气压场,并对重建结果进行了检验,同时对1470—2008年东亚夏季海平面气压重建场和FGOALS_gl数值模式模拟的海平面气压场进行了对比分析。结果表明:①1850—2008年重建的东亚夏季海平面气压场在东亚夏季风关键区（中国内陆地区以及西北太平洋部分地区）重建效果相对于其他地区要好。②1470—2008年重建的东亚夏季海平面气压场主要存在高纬与中纬气压差异、海洋与陆地差异的两种空间分布型;1470—1999年FGOALS_gl数值模拟的东亚夏季海平面气压主要体现了海陆气压差异。③根据重建的东亚夏季海平面气压场定义的1470—2008年东亚夏季风指数的演变具有明显的阶段性,16世纪中期到17世纪初东亚夏季风偏强,17世纪偏弱,18世纪经历了“弱-强-弱-强-弱”的变化,19世纪则是“强-弱-强-弱”的变化,20世纪是明显的“弱-强-弱”变化。而1470—1999年数值模拟的东亚夏季风指数序列与重建序列的主要差异出现在16世纪末和18世纪末,两者的变化趋势相反,其他时段的变化趋势基本一致。     

Lens on Climate Change: Making Climate Meaningful Through Student-Produced Videos

Learning about climate change is tangible when it addresses impacts that can be observed close to home. In this program, sixty-four diverse middle and high school students produced videos about locally relevant climate change topics. Graduate and undergraduate students provided mentorship. The program engaged students in research and learning about climate change, and sparked their interest in science careers. Evaluation results showed that students were highly motivated by the experience, developed a genuine interest in their science topic, learned about the scientific process, and developed twenty-first century skills. The program provided a unique and authentic approach to science learning and communication.     

Reconstruction of Three-Dimensional Pacific Temperature with Argo and Satellite Observations

Combining Argo temperature and salinity profiles with satellite-derived sea surface temperature (SST), weekly three-dimensional temperature fields of the Pacific Ocean were reconstructed for the period January 2000 to December 2010. The data reconstruction methodology we used has three salient features: the first is a combined application of the Optimal Interpolation (OI) and the Multivariate Data Interpolating Empirical Orthogonal Function (MDINEOF) methods, the second is an emphasis on the multivariate nature of the vertical thermohaline structure, and the third is the inclusion of a continuous satellite-derived SST dataset to compensate for the discontinuities and the lack of surface observations in Argo data. Comparisons with other observations and data products indicate that our gridded temperature product is able to capture the main features of temperature distribution as well as its variability from intraseasonal to interannual time scales, thus providing a useful new dataset for ocean and climate studies.

RÉSUMÉ?[Traduit par la rédaction] En combinant les profils de température et de salinité Argo avec les températures de la surface de la mer dérivées des données satellitaires, nous avons reconstruit les champs tridimensionnels hebdomadaires de température de l'océan Pacifique pour la période de janvier 2000 à décembre 2010. La méthodologie de reconstruction des données que nous avons utilisée présente trois points saillants : le premier est une application combinée des méthodes de l'interpolation optimale et de la fonction orthogonale empirique d'interpolation de données multivariées (MDINEOF), le deuxième est une mise en évidence de la nature multivariée de la structure thermohaline verticale et le troisième est l'inclusion d'un ensemble continu de données de température de la surface de la mer dérivées des données satellitaires pour compenser les discontinuités et le manque d'observations de surface dans les données Argo. Les comparaisons avec d'autres observations et produits de données montrent que notre produit de températures à des points de grille est capable de discerner les caractéristiques principales de la distribution des températures de même que sa variabilité de l’échelle intrasaisonnière à l’échelle interannuelle, ce qui fournit un nouvel ensemble de données utile pour les études océaniques et climatiques.