西南纵向岭谷地形对季风的“通道-阻隔”作用

地形格局对大气环流与区域气候具有重要影响。已有研究认为纵向岭谷区主要受到印度洋季风与太平洋季风的共同影响,二者在哀牢山山脉附近交汇,哀牢山山脉是一条重要的地理分界线。本文从大气环流、水汽输送、区域气候、河川径流以及植物稳定氧同位素等多个方面研究发现:纵向岭谷地区主要受印度洋季风的影响,太平洋季风的影响在8月份有一定的作用,但不够明显;在地形格局作用下,地表水汽、降水以及河川径流在纵向岭谷区表现出明显的纬向差异、经向延伸的特征;大流环流、水汽输送、区域气候以及河川径流等的空间差异,是特殊环境对水热再分配的结果,即"通道-阻隔"作用的效应;这些差异不是地理地带性的表现,而是非地带性作用的结果;这种"通道—阻隔"作用导致地表水热条件的再分配,是该区生态地理格局形成与演化的主驱动力之一。纵向岭谷地形对季风的"通道—阻隔"作用导致了一系列地理要素的空间分异和相关联的生态效应。     

Barrier-corridor effect of terrain on monsoons longitudinal range-gorge in Southwest China

地形格局对大气环流与区域气候具有重要影响。已有研究认为纵向岭谷区主要受到印度洋季风与太平洋季风的共同影响,二者在哀牢山山脉附近交汇,哀牢山山脉是一条重要的地理分界线。本文从大气环流、水汽输送、区域气候、河川径流以及植物稳定氧同位素等多个方面研究发现：纵向岭谷地区主要受印度洋季风的影响,太平洋季风的影响在8月份有一定的作用,但不够明显;在地形格局作用下,地表水汽、降水以及河川径流在纵向岭谷区表现出明显的纬向差异、经向延伸的特征;大流环流、水汽输送、区域气候以及河川径流等的空间差异,是特殊环境对水热再分配的结果,即“通道一阻隔”作用的效应;这些差异不是地理地带性的表现,而是非地带性作用的结果;这种“通道一阻隔”作用导致地表水热条件的再分配,是该区生态地理格局形成与演化的主驱动力之一。纵向岭谷地形对季风的“通道-阻隔”作用导致了一系列地理要素的空间分异和相关联的生态效应。     

气候驱动格局下中国陆地植被指数变化

将降水、气温和日照作为驱动中国陆地植被指数变化的典型气候因子,基于1982-1999年10天合成的NOAA/AVHRR NDVI与同期降水量、平均气温和日照时数数据,按所有年份求平均后,分析旬NDVI与旬降水量、旬平均气温和旬日照时数的年内相关关系,确定中国陆地植被指数变化的气候驱动格局,揭示不同气候因子驱动格局下植被指数的时空变化特征和规律.结果表明,绝大部分植被覆盖区NDVI受气候因子驱动作用明显.气候因子驱动陆地植被指数变化的空间分异格局较为明显,大致分为气温显著区,降水显著区,日照显著区,气温和降水显著区,气温和日照显著区,降水和日照显著区,气温、降水和日照显著区,气温、降水和日照弱显著区,气温、降水和日照不显著区等9大类型.受局部地形、大气环流、海拔高度等的影响,在大的基本气候驱动格局内,还会形成其他不同的小气候驱动格局.1982-1999年间,所有气候驱动区的植被活动均表现为增强趋势,其NDVI的增加主要发生在春季或夏季.其中,气温和日照显著区的春季NDVI增幅最大,降水和日照显著区的夏季NDVI增幅最大.从各月变化来看,气温显著区、气温和降水显著区5月份的NDVI增长最为迅速,降水显著区、降水和日照显著区6月份的NDVI增长最迅速,日照显著区、气温和日照显著区3月份的NDVI增长最迅速,气温、降水和日照弱显著区4月份的NDVI增长最迅速,这些月份对全年NDVI变化的贡献也最大.     

秦岭—大巴山高分辨率气温和降水格点数据集的建立及其对区域气候的指示

本文建立了秦岭—大巴山高分辨率(～29 m×29 m)的气候格点数据集,包括逐月气温和降水、年均温和年降水、春夏秋冬气温和降水。空间插值方法采用国际上较为先进的ANUSPLIN软件内置的薄盘光滑样条函数,以经度、纬度和海拔为独立变量。空间插值结果与流行的WorldClim 2.0气候格点数据集具有一致性,但是比后者更精确、分辨率更高、细节更突出。本文揭示和证实:秦岭南麓是最冷月气温的0℃分界线。秦岭—大巴山气温具有明显的垂直地带性。6月气温直减率最大,为0.61℃/100 m;12月气温直减率最小,为0.38℃/100 m;年均气温直减率为0.51℃/100 m。夏季和秋季降水从西南向东北递减,强降水中心出现在大巴山西南坡。冬季降水从东南向西北递减。大巴山是年降水1000 mm分界线,夏季降水500mm分界线;秦岭是年降水800 mm分界线,夏季降水400 mm分界线。与大尺度大气环流对比揭示:秦岭—大巴山气温和降水空间分布主要受到东亚季风和地形因子的控制。本文进一步明确了秦岭和大巴山的气候意义:大巴山主要阻挡夏季风北上,影响降水空间分布;秦岭主要阻挡冬季风南下,影响冬季气温空间分布。本文建立的高分辨率气候格点数据集,加深了对区域气候的认识,并将有多方面的用途。     

青藏高原中东部水热条件与NDVI的空间分布格局

青藏高原受大气环流和地势格局的共同作用,水热条件及植被空间分布呈现独特的三维地带性特征。但是青藏高原范围广、地势起伏大,水热条件及植被空间分布具有明显区域差异。本文利用青藏高原中东部100个气象站1982²000年的降水、气温资料以及同期NO-AA AVHRR植被指数产品（NDVI）,分析水热条件及植被的空间分布特征。首先,设置经向、纬向海拔渐变样带,考察海拔对水热条件及NDVI空间分布的影响;然后,按500米海拔间隔进行站点分组,分析约束了海拔高差后的经纬位置对水热条件及NDVI空间分布的影响。研究表明:在青藏高原中东部由于海拔高差大,热量条件分布首先受海拔递减规律控制,其次才表现出因太阳辐射差异的纬度地带性;而降水分布则主要受水汽通道位置和方向的影响,北上水汽和东部偏南走向山脉是研究区降水经向特征的主要成因;指示植被状况的年均NDVI,则受水热组合的控制,其分布格局是二者的叠加与综合。     

东亚干旱半干旱区沙漠化与气候变化相互影响研究进展

气候系统主要通过气温、降水及风场等因素影响沙漠化过程,但不同区域其影响机制存在较大差异。目前的研究结果表明,总体上,降水对沙漠化的影响较为明确,降水量增加有利于沙漠化逆转。气温和风场变化对沙漠化的影响存在明显区域差异：在季风带沙漠化区,气温升高及高空盛行西南风有利于沙漠化逆转;在非季风带沙漠化区,一方面气温升高导致蒸发量增加,沙漠化发展;另一方面,其增加了冰川、冰雪融水的补给,沙漠化逆转;在高寒带沙漠化区,旱灾和寒冻灾害是沙漠化的主因。此外,沙漠化过程通过植被、地表及土壤特征等的改变影响气候系统。例如沙漠化过程的发生伴随地表植被覆盖的变化,并通过改变地表反照率、潜热通量、粗糙度等来影响气温、降水等气候因子;还通过沙尘释放量的变化来影响降水的发生。虽然沙漠化与气候系统间存在多种反馈机制,但反照率—气温—降水—植被的正反馈及沙尘—降水—植被的正反馈是其主要反馈机制。     

地形异质性对天山山区气候的影响分析

地形具有高度的空间异质性,同一区域不同地形对该区的气候变化有着显著的影响,分析研究地形异质性对气候的影响具有十分重要的意义。基于天山山区DEM栅格图像资料和61个气象站点1961-2014年的气温和降水资料,运用空间分析、反距离权重插值法、偏最小二乘法和统计分析等方法,对该区域的地形异质性及其对气候的影响进行了相关研究。结果表明：（1）天山山区整体坡度大,其中中部与西南部的地形异质性指标值较高,其它地区的地形异质性值偏低。（2）从气候的空间分布来看,天山中部的气温较低,降水量丰富,其他区域的气温较高,降水量较少。（3）在地形异质性对气候影响方面,坡度对研究区气候的影响贡献最大,而地表粗糙度对研究区气候的影响最弱。     

基于贝叶斯最大熵的甘肃省多年平均降水空间化研究

 贝叶斯最大熵方法可以对具有一定不确定性的“软数据”和认为没有误差的“硬数据”进行插值。对甘肃省1961—1990年52个气象站点的多年平均降水数据进行空间化研究。通过比较普通克里格、共协克里格、三元回归建模后残差插值以及基于贝叶斯最大熵的3种不同软硬数据参与情况下的插值结果,发现考虑降水30 a时间序列不完整性以及辅助变量经验模型不确定性的插值结果的MAE和RMSE,比直接使用多年平均降水数据直接插值的MAE和RMSE小,表明贝叶斯最大熵方法通过对不确定性的考虑可以有效降低预测结果的绝对误差。从降水的空间分布来看,考虑辅助变量DEM的插值结果能相对较好的体现高程对降水的地形影响,尤其分区将辅助变量转换为软数据可以有效体现不同区域高程对降水的不同影响问题。综合误差评价以及降水插值结果的空间分布,认为BME插值过程中可以考虑数据本身以及辅助数据利用的不确定性,使降水空间化的结果更加真实客观,同时为合理利用辅助信息提供了一个新思路。     

基于T-S模糊神经网络模型的榆林市土壤风蚀危险度评价

选择位于风沙过渡区的榆林市为研究区域,以GIS技术和T-S模糊神经网络为依托,从土壤风蚀影响因子及风蚀动力学机制出发构建区域土壤风蚀危险度模型。基于此模型,对榆林市土壤风蚀危险度空间分异特征进行了分析,结果表明:T-S模糊神经网络模型可有效地揭示出区域土壤风蚀危险度与环境之间的映射关系,为土壤风蚀预测提供依据;风力、植被、气温、降水、地形等环境要素控制着土壤风蚀危险度空间分异格局;榆林市土壤风蚀危险度空间分异格局表现为:危险度从西北向东南逐渐降低。     

尼洋河流域极端气候时空分布特征及其可能成因

探究全球变暖下的尼洋河流域极端气候变化特征及原因,对于科学支撑西藏地区的极端气候灾害防治和生态安全保障等具有重要意义。本文基于尼洋河流域1960—2019年逐日降水及气温数据,采用极端气候指标法、Sen's斜率估计法、MK趋势及突变检验法、GIS空间分析法从降水、气温两个角度分析近60年尼洋河流域极端气候时空分布特征,并结合大气环流因子,使用地理探测器方法探讨时空分布特征的可能成因。结果表明：在时间上,尼洋河流域极端气候整体呈现暖湿化的变化趋势。极端降水的降水量、降水强度、降水日数均呈现增加趋势,极端气温的高温极值、低温极值均呈现增大趋势,低温日数呈现减少趋势。在空间上,尼洋河流域极端气候变化存在明显的空间分异性。极端降水整体自东向西逐渐减少、极端气温整体自东南向西北逐渐降低。尼洋河河道作为水汽通道,有一定的增温、保温作用,各极端气候指标沿着河道呈现出连续的极值点。副热带高压、青藏高压对尼洋河流域暖湿化的变化起到了正向增强作用,极涡、北大西洋涛动则相反。以坡度为代表的地形因子、以NDVI为代表的下垫面因子分别是影响极端降水、极端气温空间分布的最主要的环境因子,高程对极端降水、气温的空间分布均起到了重要的作用。     

Spatial Distribution of Meso-Scale Precipitation in Scania, Southern Sweden

The aim of this study is to analyse the spatial variability of meso‐scale precipitation in Scania and to assess the influence of synoptic scale atmospheric circulation. The modes of spatial variation are revealed by EOF analysis of monthly precipitation totals between 1963 and 1990, which were obtained from a dense rain‐gauge network in Scania, southern Sweden. The influence of local physiography on the spatial distribution of precipitation is assessed by GIS techniques using a digital elevation model of Scania. The relation to synoptic scale atmospheric circulation is analysed using regional circulation indices and weather types. It is shown that the daily precipitation distribution in the area is significantly influenced by synoptic scale pressure patterns. Nevertheless, the covariability of the monthly precipitation within Scania is high. About 80% of the precipitation variability is connected to the passage of low‐pressure centres over or close to the region, which are likely to produce precipitation over the whole area. A wind‐direction dependency found in the distribution indicates that there might be a limit between precipitation regimes within the landscape. Topography greatly influences the spatial distribution in Scania. The distribution of land and surrounding sea is also an important factor and makes the relationship between physiography and precipitation rather complex. The physiographical effects vary over a single year. The dampening effect of the sea on the atmospheric temperature influences the local stability in coastal areas and results in seasonally dependent precipitation patterns.     

2012年4月华南地区降水异常事件及成因诊断分析

基于实时、历史观测资料和NCEP/NCAR 再分析资料,采用气候统计和气候事件机理诊断分析方法,对2012 年4 月华南地区降水异常事件及其成因机制开展总结分析。结果表明:2012 年4 月华南大部地区降水异常偏多,强降水频发。华南地区降水异常事件的主要成因为:异常的高低纬环流形势配合,为华南地区降水异常偏多提供有利的环流背景,利于北方冷空气南下与西南暖湿气流在华南地区交汇;同期华南地区为异常偏强的上升气流控制,高低空辐散、辐合环流配置利于华南地区降水异常偏多;源自孟加拉湾、南海和西太平洋的异常水汽输送为华南地区提供良好的水汽条件,是华南地区降水异常事件的重要影响因子。     

THE ROLE OF ATMOSPHERIC CIRCULATION PATTERNS IN AGROCLIMATE VARIABILITY IN FINLAND, 1961–2011

This study evaluates interannual variations and trends in growing season daily temperature sum and daily precipitation sum in Finland during 1961–2011, and their connections to well known atmospheric circulation patterns. Changes in summer (June–August) climate partially explain changes in growing season daily temperature sum and daily precipitation sum over Finland, which naturally decreased from south to north. On a national scale, growing season warmed and became wetter during 1961–2011, as growing season daily temperature sum and daily precipitation sum significantly (p < 0.05) increased by 5.01 ± 3.17°C year^–1 and 1.39 ± 0.91 mm year^–1, respectively. The East Atlantic pattern was the most influential atmospheric circulation pattern for variations in growing season daily temperature sum (rho = 0.40) across Finland and the East Atlantic/West Russia pattern was most influential for growing season daily precipitation sum variability (rho = –0.54). There were significant (p < 0.05) increasing trends in growing season daily temperature sum and daily precipitation sum throughout Finland during 1961–2011. Increased growing season daily temperature sum was mainly observed in northern, central, western, eastern and coastal areas of south‐western Finland. This warming was positively associated with the East Atlantic pattern in the north, centre and south, but negatively associated with the East Atlantic/West Russia pattern in eastern Finland. Increased GSP mostly occurred in southern, eastern, western, central, northern and north‐western Finland. These wetting trends were positively correlated with the East Atlantic pattern in the north and negatively correlated with the Polar pattern in the south and the East Atlantic/West Russia pattern in the east, west, centre and north‐east of Finland. The overall agroclimatic year‐to‐year variability in Finland between 1961 and 2011 was mostly linked to variations in the East Atlantic and East Atlantic/West Russia patterns.     

Synoptic circulation and stream discharge in the Great Lakes basin, USA

Impacts on water resources caused by human activity, natural climate variation and long-term climate change are unclear in the US Great Lakes region. Improved understanding of the impact of atmospheric circulation on stream discharge variability into the Lakes is thus important. In this analysis, monthly surface and mid-tropospheric circulation patterns suggest that surface pressure variations over Missouri and Illinois are most strongly correlated to discharge. The mid-tropospheric patterns most directly related to discharge place the Great Lakes in a trough-to-ridge flow pattern. The analysis confirms that at this scale, lee shore advection resulting in ‘lake-effect’ precipitation is not very important to regional discharge, and neither are variations in the Pacific–North American teleconnection.     

Climate in the Monte Desert: Past trends,present conditions,and future projections

This paper documents the main features of climate and climate variability across the Monte Desert for the Last Glacial Maximum, the Glacial–Interglacial transition, and the Holocene on the basis of proxy records and for the 20th century using instrumental observations. The climate in the Monte is determined by interactions between regional physiography and atmospheric circulation in the 25–45°S sectors of South America. Although arid and semi-arid conditions prevail across the Monte, its large latitudinal extent and complex topography introduce many particularities at local scales. Paleoclimatic records and model simulations of past climates suggest significant variations in the atmospheric circulation, temperature and rainfall patterns since the Last Glacial Maximum. High-resolution proxy records east of the Andes support the existence of complex climatic patterns with similar temperature changes across the whole region but opposite precipitation variations between subtropical and mid-latitude sectors in the Monte during the past millennium.The present-day climate is depicted in terms of the space and time variability of the near-surface temperature, rainfall and tropospheric wind patterns. Uneven temperature trends over the Monte were recorded for two separate (1920–44 and 1977–2001) global warming periods in the 20th century. Additional warming evidence in the region is provided by extreme temperature records. The non-homogeneous regional pattern of precipitation shows a positive long-term increase between 30 and 40°S during the interval 1985–2001. Ensemble of climate experiments accomplished with general circulation models provide the most likely changes in temperature and rainfall to occur by the end of this century in relation to present climate. Temperature increases, larger in summer than in winter, will be concurrent with more abundant precipitations in summer, but almost no changes or even small reductions in winter across the Monte.     

An Evaluation of the Tourist Potential of the Climate in Catalonia (Spain): A Regional Study

The many links that exist between tourism and the atmospheric elements point to the need to evaluate the potential of the climate as a resource. This study of the spatial and temporal variations of the climate—tourist potential in Catalonia (Spain) is based on the classification of daily weather situations according to the main combinations of climatic variables in the study area, and is adjusted to reflect bioclimatic criteria and tourist perceptions. The results of the study reveal major differences in the climate—tourist aptitudes of the region and, in general, a high tourist potential. However, given that the climate is not the sole factor intervening in the temporal and spatial distribution of tourist activities in Catalonia, it is apparent that the tourist aptitudes of the Catalan climates are not fully exploited by planning in this sector; thus, the periods of the year and areas identified as being climatically suitable for recreational activities are greater than the actual periods and area dedicated to tourism.     

Investigating long-term trends of climate change and their spatial variations caused by regional and local environments through data mining

Climate change is a global phenomenon but is modified by regional and local environmental conditions. Moreover, climate change exhibits remarkable cyclical oscillations and disturbances, which often mask and distort the long-term trends of climate change we would like to identify. Inspired by recent advancements in data mining, we experimented with empirical mode decomposition (EMD) technique to extract long-term change trends from climate data. We applied GIS elevation model to construct 3D EMD trend surface to visualize spatial variations of climate change over regions and biomes. We then computed various time-series similarity measures and plot them to examine spatial patterns across meteorological stations. We conducted a case study in Inner Mongolia based on daily records of precipitation and temperature at 45 meteorological stations from 1959 to 2010. The EMD curves effectively illustrated the long-term trends of climate change. The EMD 3D surfaces revealed regional variations of climate change, while the EMD similarity plots disclosed cross-station deviations. In brief, the change trends of temperature were significantly different from those of precipitation. Noticeable regional patterns and local disturbances of the changes in both temperature and precipitation were identified. The trends of change were modified by regional and local topographies and land covers.     

通过数据挖掘调查气候变化的长期趋势及其因区域和地方环境而产生的空间差异（英文）

Climate change is a global phenomenon but is modified by regional and local environmental conditions.Moreover,climate change exhibits remarkable cyclical oscillations and disturbances,which often mask and distort the long-term trends of climate change we would like to identify.Inspired by recent advancements in data mining,we experimented with empirical mode decomposition(EMD) technique to extract long-term change trends from climate data.We applied GIS elevation model to construct 3 D EMD trend surface to visualize spatial variations of climate change over regions and biomes.We then computed various time-series similarity measures and plot them to examine spatial patterns across meteorological stations.We conducted a case study in Inner Mongolia based on daily records of precipitation and temperature at 45 meteorological stations from 1959 to 2010.The EMD curves effectively illustrated the long-term trends of climate change.The EMD 3 D surfaces revealed regional variations of climate change,while the EMD similarity plots disclosed cross-station deviations.In brief,the change trends of temperature were significantly different from those of precipitation.Noticeable regional patterns and local disturbances of the changes in both temperature and precipitation were identified.The trends of change were modified by regional and local topographies and land covers.