华南春季降水的年代际变化及其与大气环流和海温的关系

利用1960—2010年中国降水资料、NCEP/NCAR再分析资料、NOAA提供的海表温度资料以及太平洋年代际振荡(Pacific Decadal Oscillation,PDO)指数,分析了华南春季降水的年代际变化特征及其与大气环流和海温的关系。结果表明:华南春季降水经历了偏少(1960—1971年)—偏多(1972—1992年)—次偏少(1993—2010年)三个阶段。第一阶段少雨期,500 hPa上西风气流较平直,不利于北方冷空气南下,华南地区的暖气团也不活跃,对应的水汽通量散度为异常辐散。第二阶段多雨期,500 hPa高度上,高原北部脊偏强,利于冷空气南下,与华南地区活跃的暖湿气团汇合,对应的水汽场上为水汽异常辐合。第三阶段少雨期,500 hPa西风气流上的槽脊系统偏强,利于北方强冷空气南下,孟加拉湾地区的南支槽填塞,南方暖湿空气向华南的输送减弱。华南春季降水与PDO指数存在正相关关系,从不同季节来看,在年代际时间尺度上,前期秋季的PDO指数与华南春季降水的正相关显著,PDO处于负位相时,华南春季降水偏少,反之亦然;从华南春季降水年代际变化的不同阶段来看,PDO指数与华南春季降水的正相关在1960—1971年少雨期较显著。     

Comparison of the streamflow sensitivity to aridity index between the Danjiangkou Reservoir basin and Miyun Reservoir basin, China

The central route of China’s South-to-North Water Diversion Project would divert water from the Danjiangkou Reservoir basin (DRB) to Beijing beginning in the year 2014. The current main surface water source for Beijing is the Miyun Reservoir basin (MRB). The observed streamflows into the DRB and the MRB decreased significantly due to climatic variation and human activities from 1960 to 2005. The climate elasticity method is widely used to quantitatively separate the impacts of climatic variation and human activities on streamflow. One of the uncertainties of the method is that the impacts of changes in precipitation and potential evapotranspiration on streamflow are separated with the assumption that they are independent. However, precipitation and potential evapotranspiration are not totally independent. Aridity index, as the ratio between potential evapotranspiration and precipitation, could be considered as the representative indicator of climatic variation. In this study, the sensitivity of streamflow to aridity index is evaluated to assess the impact of climatic variation on streamflow in the DRB and the MRB. The result shows that streamflow in the MRB is more sensitive to climatic variation than that in the DRB. However, the effective impact of aridity index on streamflow is the product of the sensitivity and the change rate of aridity index. The attribution results show that change in aridity index contributed 68.8 % of the decrease in streamflow in the DRB while it contributed 31.5 % of the decrease in streamflow in the MRB. This indicated that the impact of climatic variation was the main reason of decrease in streamflow in the DRB while human activities such as increasing water consumption and land use change were the main reasons of decreasing streamflow in the MRB.     

Climate change affecting temperature and aridity zones: a case study in Eastern Inner Mongolia, China from 1960–2008

Recent climate change is substantially affecting the spatial pattern of geographical zones, and the temporal and spatial inconsistency of climatic warming and drying patterns contributes to the complexity of the shifting of temperature and aridity zones. Eastern Inner Mongolia, China, located in the interface region of different biomes and ecogeographic zones, has experienced dramatic drying and warming over the past several decades. In this study, the annual accumulated temperature above 10 °C (AAT10) and the aridity index, two key indicators in geographical regionalization, are used to assess warming and drying processes and track the movements of temperature and aridity zones from 1960 to 2008. The results show a significant warming at the regional level from 1960 to 2008 with an AAT10 increase rate of 7.89 °C·d/year (p?<?0.001) in Eastern Inner Mongolia, while the drying trend was not significant during this period. Spatial heterogeneity of warming and drying distributions was also evident. Analysis of warming and drying via piecewise regression revealed two separate, specific trends between the first 31 years (1960–1990) and the subsequent 18 years (1991–2008). Generally, mild warming and very slight wetting occurred prior to 1990, while after 1991 both warming and drying were significant and enhanced. Continuous warming drove a northward shift of temperature zones from the 1960s to 2000s, while aridity zones displayed enhanced temporal and spatial variability. Climate change effects on temperature and aridity zones imply that the patterns of cropping systems, macro-ecosystems, and human land use modes are potentially undergoing migration and modification due to climate change.     

近40年河北省地表干燥度的时空变化

利用河北省1970-2007年48个气象台站逐日资料, 采用Penman-Monteith模型计算潜在蒸散量, 由潜在蒸散量和降水量之比构建干燥度指数, 并采用Kriging插值法进行空间插值以分析其区域特征。结果表明:1970-1985年, 由于降水量减少和潜在蒸散量减少, 蒸散量的减少速率大于降水量的减少速率, 地表干燥度指数呈下降趋势, 潜在蒸散量的显著减少是地表干燥度下降的主要原因, 而风速和日照时数的显著降低决定了潜在蒸散量的显著下降; 1986-2007年, 由于年平均气温的显著升高, 潜在蒸散量增加, 使得地表干燥度略呈上升趋势。河北省地表干燥度高值区分布在张家口地区的桑洋盆地和坝西高原, 而低值区主要在燕山南麓低山丘陵地区的承德西南部、唐山的北部和秦皇岛中北部大部分地区。干燥度减少区域主要集中在河北省东北部至河北省西部的带状区域。     

Decreasing trend of sunshine hours and related driving forces in North China

Global dimming is currently an active area of research in climate change. Trends of temporal (on the order of decades, years, seasons or even months) and spatial patterns in sunshine hours and associated climatic factors (average air temperature, relative humidity, precipitation and wind speed) over North China are evaluated for the period 1965~1999 based on data from 81 standard meteorological stations. The results show that: (1) North China is experiencing decreasing sunshine hours (–82.855 h/decade); (2) seasonally, decline in sunshine hours is highest in summer and lowest in winter; (3) spatially, decrease in sunshine hours is highest in inland and plain regions and lowest in the northwest mountain and coastland regions; (4) sunshine hours have a high correlation with precipitation, relative humidity and wind speed, with wind speed having the strongest influence on sunshine hours implicit in the close correlation (temporally and spatially) between the two variables; (5) cloud cover could not be any significant driver of sunshine-hour decline because it is more or less stable; (6) spatially and seasonally, wind speed is an important driving factor of decreasing sunshine hours in North China. Furthermore, the interactions between wind speed and aerosol loading may be an enabling factor of wind speed in driving (strongly) the changes in sunshine hours.     

大尺度环流的年代际变化对初夏华南持续性暴雨的影响

利用1961-2010年中国逐日降水数据和NCEP/NCAR逐日再分析资料集,研究了大尺度环流的年代际变化对不同频发年代华南持续性暴雨的影响。结果表明,虽然过去50年里华南持续性暴雨的发生存在两个频发时段(20世纪60年代中期到70年代中期、20世纪90年代初到2010年),其典型环流配置都表现为中高纬度冷空气和低纬度充沛水汽的配合,但不同频发时段的大尺度环流配置明显不同,这种配置使得两个频发时段的暴雨发生特点有所不同,最近20年的暴雨发生次数更多,强度更强,持续时间更长。在频发的1964-1976年,高纬度的冷空气主要来自西西伯利亚上空深厚的低槽前部,而此时南亚高压偏弱,西太平洋副热带高压偏弱、偏东,低纬度的水汽主要来自孟加拉湾印缅低压槽前,可降水量偏小,但垂直速度较大,水汽辐合较旺盛,华南上空大气环流较不稳定;在频发的1991-2010年,鄂霍次克海上空附近的高压脊活跃,高纬度冷空气主要来自高压后部,低纬度西太平洋副热带高压偏强,位置偏西,其西北侧的水汽源源不断输送到华南上空,故可降水量增多,伴随着强大的南亚高压提供的良好的高层辐散条件,华南上空垂直速度增大,水汽辐合明显,强有利的环流配置导致1991-2010年华南持续性暴雨强度更大、范围更广。因此,大气环流的年代际转型使得华南持续性暴雨发生了巨大改变,故在未来做预测时应充分考虑不同年代际环流背景场对华南持续性暴雨的重要影响。     

近50年中国干湿气候界线波动及其成因初探

文中在 10a际尺度上详细分析了中国干湿气候界线波动与气候的干湿变化 ,得出 :过去 5 0a中国干湿气候界线波动显著 ,区域差异大 ,呈现出整体移动和东西、南北相异波动的特征。 2 0世纪 6 0～ 70年代中国干湿气候存在一次突变 ,由较湿润变为干旱 ,但各地干旱程度不同。干湿气候界线波动与气候的干湿变化具有显著的年代际特征。在此基础上分析了气候界线波动的可能原因 ,中国干湿气候界线的波动与气候的干湿变化是西太平洋副热带高压强度位置导致的东南季风、孟加拉湾暖流所导致的西南季风以及高原季风、中纬度西风环流等综合作用的结果。中国各地区干湿位相变化不一致 ,区域差异大 ,是不同环流以及环流的不同强弱组合所致。东南季风、西南季风、高原季风、中纬度西风环流、西太平洋副热带高压的年代际变化是过去 5 0a中国干湿气候界线波动与气候干湿变化年代际变化的根本原因。 2 0世纪 6 0～ 70年代的干湿突变 ,是整个北半球大气环流异常的结果     

Spatiotemporal variations of potential evapotranspiration and aridity index in relation to influencing factors over Southwest China during 1960–2013

This study investigated the spatial–temporal patterns and trends of potential evapotranspiration (ET₀) and aridity index (AI) over Southwest China during 1960–2013 based on daily temperature, precipitation, wind speed, sunshine duration, total solar radiation, and relative humidity data from 108 meteorological stations. The Penman–Monteith model, Mann–Kendall (M–K) test, moving t test, and Morlet wavelet method were used. The results indicated that ET₀ and AI across the region displayed decreasing trends, but the former was significant. After 2000, regionally average trends in ET₀ and AI increased rapidly, indicating that droughts increased over Southwest China in recent years. Spatially, the changes of ET₀ and AI were dissimilar and not clustered, either. Temporally, both ET₀ and AI displayed obvious abrupt change points over different timescales and that of AI was during the winter monsoon period. Significant periodic variations with periods of 27, 13, and 5 years were found in ET₀, but only of 13 and 5 years existed in AI. Correlation analysis revealed that the sunshine duration and wind speed were the dominant factors affecting ET₀ and that AI showed strong negative correlation with precipitation. The findings of this study enhance the understanding of the relationship between climate change and drought in Southwest China, while the mechanism controlling the variation in drought requires further study.     

2001—2010年青藏高原干湿格局及其影响因素分析

基于RFE2.0模型和Penman-Monteith模型,采用潜在蒸散降水比分析了2001—2010年青藏高原生长季(5—9月)干湿气候的时空变化格局,并对其影响因素进行了探讨。结果表明:(1)干旱和半干旱区占整个青藏高原区域的67%,主要集中在高原中部及中部以北;(2)2001—2010年有25%的区域在逐渐变干,北部干旱程度总体上在逐渐减轻,南部及东南部有变干倾向;(3)降水是导致高原区域干湿气候空间格局差异的主要因素,高原干湿气候对潜在蒸散变化的敏感性最强。     

Changes in daily climate extremes in the arid area of northwestern China

There has been a paucity of information on trends in daily climate and climate extremes, especially for the arid region. We analyzed the changes in the indices of climate extremes, on the basis of daily maximum and minimum air temperature and precipitation at 59 meteorological stations in the arid region of northwest China over the period 1960–2003. Twelve indices of extreme temperature and six indices of extreme precipitation are examined. Temperature extremes show a warming trend with a large proportion of stations having statistically significant trends for all temperature indices. The regional occurrence of extreme cool days and nights has decreased by ?0.93 and ?2.36 days/decade, respectively. Over the same period, the occurrence of extreme warm days and nights has increased by 1.25 and 2.10 days/decade, respectively. The number of frost days and ice days shows a statistically significant decrease at the rate of ?3.24 and ?2.75 days/decade, respectively. The extreme temperature indices also show the increasing trend, with larger values for the index describing variations in the lowest minimum temperature. The trends of Min Tmin (Tmax) and Max Tmin (Tmax) are 0.85 (0.61) and 0.32 (0.17)?°C/decade. Most precipitation indices exhibit increasing trends across the region. On average, regional maximum 1-day precipitation, annual total wet-day precipitation, and number of heavy precipitation days and very wet days show insignificant increases. Insignificant decreasing trends are also found for consecutive dry days. The rank-sum statistic value of most temperature indices exhibits consistent or statistically significant trends across the region. The regional medians after 1986 of Min Tmin (Tmax), Max Tmin (Tmax), warm days (nights), and warm spell duration indicator show statistically more larger than medians before 1986, but the frost days, ice days, cool days (nights), and diurnal temperature range reversed. The medians of precipitation indices show insignificant change except for consecutive dry days before and after 1986.     

Intensified reduction in summertime light rainfall over mountains compared with plains in Eastern China

Based on daily rainfall data from 1960 to 2007, this study investigated the difference in rainfall trends between seven mountain stations and 21 nearby plain stations in eastern China for the months June–August. The amount and frequency of light rain (≤2.5 mm/day) over the mountain areas showed a greater decreasing trend than over the surrounding plain regions. The trend of light-rainfall frequency at mountain stations is ??4.8%/decade, approximately double that at plain stations (??2.3%/decade). The trend in light-rainfall amount at mountain stations is ??5.0%/decade, approximately three times that at plains station (??1.4%/decade). Reduced wind speed may explain the enhanced decrease in light rainfall over mountain areas through the weakened orographic lifting. Further study is needed to determine whether the precipitation difference between mountain and plain (urban) regions is exacerbated by air pollution in East China through its indirect effects and influence on regional air stability and wind speed.     

Evaluating historical simulations of CMIP5 GCMs for key climatic variables in Zhejiang Province,China

Assessing the regional impact of climate change on agriculture, hydrology, and forests is vital for sustainable management. Trustworthy projections of climate change are needed to support these assessments. In this paper, 18 global climate models (GCMs) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are evaluated for their ability to simulate regional climate change in Zhejiang Province, Southeast China. Simple graphical approaches and three indices are used to evaluate the performance of six key climatic variables during simulations from 1971 to 2000. These variables include maximum and minimum air temperature, precipitation, wind speed, solar radiation, and relative humidity. These variables are of great importance to researchers and decision makers in climate change impact studies and developing adaptation strategies. This study found that most GCMs failed to reproduce the observed spatial patterns, due to insufficient resolution. However, the seasonal variations of the six variables are simulated well by most GCMs. Maximum and minimum air temperatures are simulated well on monthly, seasonal, and yearly scales. Solar radiation is reasonably simulated on monthly, seasonal, and yearly scales. Compared to air temperature and solar radiation, it was found that precipitation, wind speed, and relative humidity can only be simulated well at seasonal and yearly scales. Wind speed was the variable with the poorest simulation results across all GCMs.     

Variation of atmospheric aerosol optical depth and its relationship with climate change in China east of 100°E over the last 50 years

Understanding the role of aerosols in global and regional climate change requires the long-term measurements of aerosol optical properties. We use an indirect method to infer aerosol optical depths (AODs) based on atmospheric visibility and water vapor pressure measured at 504 key climate stations in eastern China (east of 100° E) over 1951–2002. Inferred AODs are compared with the MODIS satellite measurements for year of 2002. Results show that AODs averaged over 1951–2000 exhibit large values in Sichuan Basin and Changjiang River Delta, and there are two belts of high AODs, one from Beijing to South China by the middle reaches of Changjiang River and the other from Beijing to Changjiang Delta. Inferred AODs in eastern China show the lowest value in 1960s, increase dramatically in 1980s, and reach maximum in 1990s. The ratios of the regional and decadal mean AOD in 1950s, 1960s, 1970s, 1980s, and 1990s to that in 1960s are 1.085, 1.0, 1.066, 1.195, and 1.22, respectively. Statistical analysis shows that variations in AODs correlate with the changes in precipitation and air temperature in eastern China over the past 50 years. Correlation coefficients between annual mean AOD and precipitation are 0.39, 0.37, and 0.57 in the upper (Sichuan Basin), middle, and lower reaches of the Changjiang River, respectively. In the Sichuan Basin, the increase in annual mean AOD correlates with the reduction in air temperature with a correlation coefficient of ?0.33 at 95% confidence level.     

Sensitivity analysis of climate on streamflow in north China

The economics and crowded cities of north China play important roles in China’s overall economic development. Streamflow is a hot issue in ecohydrological studies, and research into changes in streamflow in north China is of great significance. In this study, the sensitivities of streamflow to the aridity index, precipitation, and potential evapotranspiration are evaluated to assess the impact of climatic variation in streamflow in north China. The results show that the average coefficient of sensitivity of streamflow to aridity index is ?2.24, and streamflow would decrease by 22.4 % with a 10 % increase in the aridity index. The average coefficients of sensitivity of streamflow to precipitation and potential evapotranspiration are 3.21 and ?2.21, respectively. A 10 % increase in precipitation or potential evapotranspiration would induce a 32.1 % increase or a 22.1 % decrease of streamflow, respectively. Basins with low streamflows would be more sensitive to climatic variation than basins with high streamflows.     

Important meteorological variables for statistical long-term air quality prediction in eastern China

Weather is an important factor for air quality. While there have been increasing attentions to long-term (monthly and seasonal) air pollution such as regional hazes from land-clearing fires during El Niño, the weather-air quality relationships are much less understood at long-term than short-term (daily and weekly) scales. This study is aimed to fill this gap through analyzing correlations between meteorological variables and air quality at various timescales. A regional correlation scale was defined to measure the longest time with significant correlations at a substantial large number of sites. The air quality index (API) and five meteorological variables during 2001–2012 at 40 eastern China sites were used. The results indicate that the API is correlated to precipitation negatively and air temperature positively across eastern China, and to wind, relative humidity and air pressure with spatially varied signs. The major areas with significant correlations vary with meteorological variables. The correlations are significant not only at short-term but also at long-term scales, and the important variables are different between the two types of scales. The concurrent regional correlation scales reach seasonal at p < 0.05 and monthly at p < 0.001 for wind speed and monthly at p < 0.01 for air temperature and relative humidity. Precipitation, which was found to be the most important variable for short-term air quality conditions, and air pressure are not important for long-term air quality. The lagged correlations are much smaller in magnitude than the concurrent correlations and their regional correction scales are at long term only for wind speed and relative humidity. It is concluded that wind speed should be considered as a primary predictor for statistical prediction of long-term air quality in a large region over eastern China. Relative humidity and temperature are also useful predictors but at less significant levels.     

中国区域陆面覆盖变化的气候效应模拟研究

基于MODIS和CLCV陆面覆盖资料,利用区域气候模式RegCM4分别进行两组24年（1978-2001年）的数值模拟试验,研究中国区域陆面覆盖变化对区域气候的影响。结果表明,以荒漠化和植被退化为主要特征的陆面覆盖变化通过改变陆面能量、水分平衡与大尺度环流进而对气候要素产生重要影响。夏季,中国南方地区普遍降温,季风边缘区及藏北高原气温升高,降水减少;季风边缘区与西北地区气温年际波动加剧;内蒙古中东部地区西南风增强,进而水汽输送增强,一定程度上增加了该地区降水。冬季,中国东部地区偏北气流增强,更多干燥冷空气南下,使得黄河以南地区降水减少、气温降低。     

云南初夏干湿演变特征和基于CMIP6模式模拟的预估分析

使用1961—2020年的观测数据和2021—2080年的模式预估数据,首先分析了云南初夏干燥度指数（aridity index,AI）的演变特征和影响因子相对贡献,然后采用国际耦合模式比较计划第六阶段（CMIP6）中的20个全球模式,对SSP1-2.6、SSP2-4.5以及SSP5-8.5情景下云南初夏未来干湿变化进行了预估研究。结果表明：(1) 1961—2020年云南初夏气候整体湿润,但为变干燥的趋势,有明显的年代际变化特征,1960s、1970s以及2000s气候相对湿润,其余年代相对干燥,2000s（2010s）为1961年以来最湿润（干燥）的10年。(2) 2021—2080年在3种排放情景下,云南初夏气候较1995—2014年均为变干燥的趋势,SSP1-2.6、SSP2-4.5以及SSP5-8.5情景下,AI分别减少13.9%、17.9%以及24.9%,西南部将可能是湿润度降幅最大值中心。(3) 1961—2020年,降水对云南初夏气候干湿变化的贡献大于潜在蒸散量;而2021—2080年,潜在蒸散量对气候变干燥的贡献大于降水量,且随排放情景的增高和时间推移,其贡献将逐渐增大。     

2000年以来中国区域植被变化及其对气候变化的响应

气候是植被变化的主要驱动因子,研究全球增暖背景下中国区域植被变化及其对气候的响应对于国家开展重大生态恢复评估和未来植被保护政策制定具有重要意义。利用2000-2016年MODIS植被指数(Normalized Difference Vegetation Index,NDVI)数据集,运用统计分析方法,从平均态、线性趋势、时间序列、相关性等方面系统分析了2000年以来中国区域植被变化及其对气候变化的响应。结果表明:中国区域NDVI在平均态上呈现从东南向西北递减的空间分布,受降水生长季的影响,东部地区植被指数明显较大;我国大部分地区NDVI呈现增加的趋势,其中湿润半湿润地区NDVI增长幅度为0.037·(10a)^-1,而在干旱半干旱地区变化较小[0.013·(10a)^-1]。NDVI的变化与气候驱动因素的相关性存在一定的区域差异,其中:NDVI与气温变化在东南沿海、东北东部以及青藏高原北部等地区呈现出显著正相关,而在青藏高原南部等地区呈现微弱的负相关;除青藏高原、塔里木盆地和东北北部等地区外,NDVI与降水量在全国大多数地区呈正相关。从全国平均来看,温度和降水变化对NDVI的贡献分别为7.5%和9.1%,其中温度对NDVI变化的贡献主要体现在湿润半湿润地区(9.3%),而降水的贡献则在干旱半干旱地区(12.2%)。植被变化对气候要素驱动的响应也呈现出明显的区域差异性,在我国东南沿海、云贵高原东部、四川盆地等南方地区以及黄河中下游、东北东部等部分地区,NDVI变化对气温的敏感性最强;而在中国北方干旱半干旱大部分地区,NDVI变化则是对降水驱动具有很显著的响应特征。总体而言,气温是驱动南方地区植被变化的主导因子,而降水则调控着北方地区植被生长变化。     

近44年来我国西北地区干湿特征分析

利用我国西北地区1960—2003年131个测站降水和小型蒸发皿蒸发量资料, 综合考虑降水和蒸发这两个水分平衡最关键的分量构造了降水蒸发均一化干湿指数, 进而研究了西北地区干湿的时空演变特征。结果表明:一致性异常是西北地区近44年干湿特征的最主要空间分布模态; 西北地区干湿异常特征主要分为西风带气候区型, 高原气候区型和季风气候区型; 整个西北地区及其西风带气候区、高原气候区年干湿特征呈较为显著的变湿趋势, 大约在20世纪70年代中期均发生了由干向湿的突变, 而季风气候区表现为变干趋势, 并且在90年代前期发生了由湿向干的突变; 整个西北地区及各分区近44年来主要以年代际周期振荡为主。     

近60年索马里急流越赤道水汽输送的变化特征及对中国初夏降水的影响

利用近60年(1951-2010年)的NCEP/NCAR再分析风、比湿、地面气压及降水资料,建立了一个越赤道水汽输送强度指数来表征索马里急流的强度,并从季节、年际、年代际变化及突变等不同侧面出发,比较系统地分析了索马里急流越赤道水汽输送强度的变化特征,并进一步分析了它与我国初夏降水异常的关系及这种关系随时间的年代际变化特点.分析结果表明:进入20世纪90年代之后,索马里急流风速强度有明显的减弱趋势,而水汽输送强度无显著变化;与索马里急流风速强度相比,水汽输送强度与我国初夏6月降水量的关系更为密切.索马里急流弱年对应长江以北的华北地区初夏降水偏少,反之亦然.此外,索马里水汽输送对我国北方初夏降水的影响在1982年后明显加强.