中国出境旅游与国际服务贸易关系分析

出境旅游是国际服务贸易的重要组成部分,是世界经济全球化的响应。出境旅游与国际服务贸易关系分析是制定出境旅游政策的基础之一。根据1985~2011年中国出境旅游和国际服务贸易时间序列的相关数据,采用计量经济学分析方法,系统探讨了出境旅游与国际服务贸易的关系。得出结论:①出境旅游与国际服务贸易之间存在正相关关系;②出境旅游与国际服务贸易存在长期稳定的动态均衡关系;③出境旅游与国际服务贸易存在短期波动回归长期均衡关系;④出境旅游是国际服务贸易出口的Granger原因,但不是国际服务贸易进口的Granger原因,国际服务贸易进出口均是出境旅游的Granger原因。     

中国公众对全球气候变化认知与支持减缓气候变化政策研究——基于全球调查数据和与美国比较视角

公众对气候变化的认知影响个人和家庭限制温室气体排放、支持减缓气候变化的政策措施等。基于5次全球调查数据和与美国的对比,分析了中国公众对气候变化的认知、减缓气候变化支付意愿和对气候政策的支持。分析表明中国大部分公众听说过气候变化,认为人类活动是气候变化的重要原因,但对气候变化深层原因了解不够;大部分公众认为气候变化对自然灾害的发生、降水和水资源、食物种类等带来了很大不利影响,进而担忧气候变化,认为气候变化问题很严重;大部分公众认为限制温室气体排放是国际社会共同的责任,应该立即采取行动限制温室气体排放,包括改变生活方式、接受较高的能源价格、保护森林、取消政府对私家车的补贴、提高机动车的能效等。最后讨论了进一步需要研究的问题。     

Identification of mid-latitudinal regional and urban temperature variabilities based on regional reanalysis data

The objective of the study is to detect geographical and temporal variations of near surface air temperatures over Minnesota and Wisconsin, USA derived from the North American Regional Reanalysis (NARR) dataset. In addition, the study serves to assess the usefulness of NARR temperature data to analyze regional and local temperature variations. Particular emphasis was placed on the analyses on the temperature-modifying effects of the Great Lakes and large urban environments. We analyzed annual mean, daily maximum and minimum, and January minimum and July maximum temperatures for the period 1979–2006 by using methods such as ordinary kriging, principal component analysis, and the Mann–Kendall test. On a regional scale, we found significant effects of the latitude and the Great Lakes on the spatial variability of the data. Furthermore, we found clearly identifiable effects of large urban areas in the study region (Minneapolis—Saint Paul and Milwaukee), which are more evident in the principal component scores than in the temperature data themselves. While we failed to detect significant July maximum temperature trends, we detected significantly increasing trends in January minimum and mean annual temperature datasets in the eastern part of the region. Overall, the present study has demonstrated the potential of using NARR data for urban climate research.     

Vertical structure variability and equatorial waves during central Pacific and eastern Pacific El Ni?os in a coupled general circulation model

Recent studies report that two types of El Ni?o events have been observed. One is the cold tongue El Ni?o or Eastern Pacific El Ni?o (EP El Ni?o), which is characterized by relatively large sea surface temperature (SST) anomalies in the eastern Pacific, and the other is the warm pool El Ni?o (a.k.a. ‘Central Pacific El Ni?o’ (CP El Ni?o) or ‘El Ni?o Modoki’), in which SST anomalies are confined to the central Pacific. Here the vertical structure variability of the periods during EP and CP is investigated based on the GFDL_CM2.1 model in order to explain the difference in equatorial wave dynamics and associated negative feedback mechanisms. It is shown that the mean stratification in the vicinity of the thermocline of the central Pacific is reduced during CP El Ni?o, which favours the contribution of the gravest baroclinic mode relatively to the higher-order slower baroclinic mode. Energetic Kelvin and first-meridional Rossby wave are evidenced during the CP El Ni?o with distinctive amplitude and propagating characteristics according to their vertical structure (mostly first and second baroclinic modes). In particular, the first baroclinic mode during CP El Ni?o is associated to the ocean basin mode and participates to the recharge process during the whole El Ni?o cycle, whereas the second baroclinic mode is mostly driving the discharge process through the delayed oscillator mechanism. This may explain that the phase transition from warm to neutral/cold conditions during the CP El Ni?o is delayed and/or disrupted compared to the EP El Ni?o. Our results have implications for the interpretation of the variability during periods of high CP El Ni?o occurrence like the last decade.     

登陆孟加拉湾风暴结构个例分析与数值模拟

采用NCEP-NCAR再分析资料,分析了2006年4月29日登陆缅甸并造成云南省强降水过程的孟加拉湾风暴结构。并且利用美周新一代中尺度WRF（weather Researchand Forecast）模式对2006年4月28～30日云南强降水过程进行了数值模拟研究。结果表明：孟加拉湾风暴登陆前后结构具有明显变化,从基本对称结构演变为非对称结构,WRF模式较好地模拟出盂加拉湾风暴登陆前后环流场特征和风暴移动路径以及造成云南强降水雨带的分布特征。     

The optimal choice of residue management, crop rotations, and cost of carbon sequestration: empirical results in the Midwest US

This study investigates the cost of soil carbon sequestration in the Midwest US. The model addresses several missing components in earlier analyses: the link between the residue level choice and carbon payments, crop rotations, carbon loss when shifting from conservation to conventional tillage and the spatial pattern of carbon sequestration across different soil types. The results suggest that for $100 per metric ton of carbon, 1.5 million metric tons of carbon could be sequestered per year on the 19.9 million hectares of cropland in the study region. These estimates suggest less carbon potential than existing studies because the opportunity costs associated with conservation tillage are fairly high. Annual carbon rental payments are found to be more efficient, as expected, but for smaller programs, per hectare rental payments are not substantially more costly.     

2008年“7.02”滇中大暴雨的成因诊断与数值模拟

利用常规观测、NCEP 1°×1°再分析资料、云图、多普勒雷达回波和WRF模式对2008年7月2日滇中大暴雨进行成因诊断和数值模拟。结果表明:对流层高层的干侵入和中低层冷、暖平流交汇诱发副热带高压和滇缅高压间辐合低涡迅猛发展成强中尺度对流辐合体,加上中低层来自孟加拉湾的丰富水汽输送和中低层强水汽辐合共同引发此次大暴雨。过程中,垂直螺旋度贡献主要在中层;干位涡呈现出对流层顶强正高位涡,300 hPa以下为次正高位涡,两者之间为负区的柱状分布特征,次正高位涡强中心有向下层延伸特征。WRF较好地模拟了整个大暴雨过程中强降水主体时段和大暴雨落区特点,最大对流有效位能变化趋势对强降水有较好预示作用,模拟方案在积分30小时内效果较好。     

大理、理塘和林芝气象要素的日变化特征对比分析

用大理、理塘和林芝的地面自动气象站资料,对比分析3站气温、相对湿度、本站气压、瞬时风速、地面温度的日变化特征。结果表明：大理、理塘和林芝气温最低值和相对湿度最大值的出现时间分别为7时、7时左右和8时左右,气温最高值和相对湿度最小值出现的时间均在16时左右。3站气压日变化呈＂双峰双谷型,＂2个高峰值时段分别出现在10时左右和凌晨0～1时,2个低谷值时段分别出现在17时左右和5时左右。风速在凌晨至7时左右较低,之后至傍晚不断增大并出现极大值,日落后逐渐减小。3站地面温度7时左右出现最低值,14时左右出现最高值。从季节变化情况看,气温和地面温度出现最高值、最低值的月份及变化幅度最大的月份基本相同。地面温度增、降幅度最大的季节分别是春季、秋季。气压随季节变化幅度较气温、相对湿度小。初春风速较大,秋季风速较小,风速对相对湿度有一定影响,大理和林芝相对湿度出现最小值的月份与风速出现最大值的月份相同。各要素值基本是大理最大,林芝次之,理塘最小,这与3站的纬度、海拔高度和下垫面性质有关。     

FY-2C云迹风资料在中尺度数值模式中的应用研究

利用探空观测资料对FY-2C云迹风资料进行统计检验和误差分析,并针对其误差特征进行偏差订正和热成风原理两种方法的质量控制.然后通过GRAPES-3Dvar同化到GRAPES-Meso模式中,对2005年7月1日00时至7月2日00时发生在中国西北部的一次暴雨过程进行了数值对比试验.结果表明:云迹风数量在垂直方向上主要集中分布于500 hPa以上的对流层中高层,在250 hPa附近数量分布概率最大;高度在500 hPa以下云迹风存在明显的风向误差和很大的风速误差,而且误差分布发散,可用性较差.500 hPa以上层次的云迹风误差较小,且误差分布呈高斯分布具有一定的系统特性,可用性较好;通过质量控制后,可以把风向错误或风速偏差太大的云迹风予以剔除,进一步提高云迹风的精度;同化云迹风资料后,在暴雨区附近初始风场低层的西南气流明显加强,有利于暴雨区水汽输送和水汽辐合,最终能很好地改善24 h暴雨预报的强度和落区.     

Regional Distribution of Perceived Temperatures Estimated by the Human Heat Budget Model （the Klima-Michel Model） in South Korea

The regional distribution of perceived temperatures (PT) for 28 major weather stations in South Korea during the past 22 years (1983–2004) was investigated by employing a human heat budget model, the Klima-Michel model. The frequencies of a cold stress and a heat load by each region were compared. The sensitivity of PT in terms of the input of synoptic meteorological variables were successfully tested. Seogwipo in Jeju Island appears to be the most comfortable city in Korea. Busan also shows a high frequenc...