A Regional Scale Investigation of Climatological Tropical Convection and Precipitation in the Amazon Basin

This study constructs a regional scale climatology of tropical convection and precipitation from more than 15 years of monthly outgoing longwave radiation (OLR) and precipitation data on 2.5°× 2.5° latitude‐longitude grid to examine the spatial and temporal patterns and variability of convection and precipitation in the Amazon Basin. A linear regression analysis also detects if any trends exist in the two datasets. The region of study extends from 15°N to 25°S and 30° to 80°W that encompass the Amazon Basin and surrounding fringe areas for the period from January 1979 through December 1995 for the OLR data and up to 1996 for the precipitation dataset. The basin‐average mean monthly and seasonal climatology serve as a ‘baseline’ reference for comparison with the full time series of basin‐average monthly OLR and precipitation to illustrate the interannual variability and identify anomalous periods of wet and dry conditions. A linear trend analysis of OLR data found small negative values across the Amazon Basin indicating a slight increase in convective activity over the period of study. The analysis of the precipitation time series, however, shows no coincidental increase in precipitation as would be expected with an increase in convective activity. Portions of Rondônia and Mato Grosso, areas that have undergone extensive deforestation, illustrate no trend in precipitation as suggested by GCM simulation results. The only area featuring any large change in precipitation occurs in a small area in the northwestern region of South America where a large positive trend in precipitation exists.     

Observing climate impacts on tea yield in Assam,India

Tea is an important cash crop for the economy in northeast India. It also supports the livelihoods of a large proportion of the population. At the same time, tea growth is sensitive to climatic conditions making it vulnerable to climate change and variability. Identifying the tea yield response to climatic variability in operational plantations, and identifying the most important climatic variables that impact tea yield is critical to assessing the vulnerability of the industry and informing adaptation. Here, we developed a garden level panel dataset and estimated statistical models to identify the causal effect of monthly temperature, monthly precipitation, drought intensity, and precipitation variability on tea yield. We found decreasing tea yield returns to warmer monthly average temperatures, and when monthly temperatures were above 26.6 °C warming had a negative effect. We found that drought intensity did not affect tea yield and that precipitation variability, and in particular precipitation intensity, negatively affect tea yield. An increase in average temperatures as expected with global warming will reduce the productivity of tea plantations, all else held equal. Further, interventions to reduce the sensitivity of tea plantations to warming and precipitation variability will have immediate pay-offs as well as providing climate change adaptation benefits.     

新疆伊犁河流域气候变化(英文)

In this paper, the monthly precipitation and temperature data collected at 7 stations in the Ili River Basin from 1961 to 2007 were analyzed by means of simple regression analysis, running mean, db6 wavelet function and Mann-Kendall test. This study revealed the characteristics of climate change and abrupt change points of precipitation and temperature during different time scales in the Ili River Basin within the past 50 years. The results showed that the precipitation increased from the mid-1980s until 2000 and has continued to increase at a smaller magnitude since 2000. Over the studied period, the precipitation increased significantly during the summer and winter months. The temperature increased greatly in the late 1980s, and has continued to show an increasing trend from the year 2000 to present. The temperature increases were most significant during the summer, autumn and winter months. In terms of different geographies, the temperature increase was significant during the winter in the plains and hilly regions; the increase was also significant during autumn in the intermontane basins. The climate change trends in the Ili River Basin were consistent with the changing trends of the North Atlantic Oscillation and the plateau monsoon.     

Variation and abrupt change of climate in Ili River Basin, Xinjiang

In this paper, the monthly precipitation and temperature data collected at 7 stations in the Ili River Basin from 1961 to 2007 were analyzed by means of simple regression analysis, running mean, db6 wavelet function and Mann-Kendall test. This study revealed the characteristics of climate change and abrupt change points of precipitation and temperature during different time scales in the Ili River Basin within the past 50 years. The results showed that the precipitation increased from the mid-1980s until 2000 and has continued to increase at a smaller magnitude since 2000. Over the studied period, the precipitation increased significantly during the summer and winter months. The temperature increased greatly in the late 1980s, and has continued to show an increasing trend from the year 2000 to present. The temperature increases were most significant during the summer, autumn and winter months. In terms of different geographies, the temperature increase was significant during the winter in the plains and hilly regions; the increase was also significant during autumn in the intermontane basins. The climate change trends in the Ili River Basin were consistent with the changing trends of the North Atlantic Oscillation and the plateau monsoon.     

Temporal and spatial trends of precipitation and river flow in the Yangtze River Basin, 1961–2000

The suspected impact of climate warming on precipitation distribution is examined in the Yangtze River Basin. Daily precipitation data for 147 meteorological stations from 1961–2000 and monthly discharge data for three stations in the basin have been analyzed for temporal and spatial trends. The methods used include the Mann–Kendall test and simple regression analysis. The results show (1) a significant positive trend in summer precipitation at many stations especially for June and July, with the summer precipitation maxima in the middle and lower Yangtze River basin in the 1990s; (2) a positive trend in rainstorm frequency that is the main contributor to increased summer precipitation in the basin; and (3) a significant positive trend in flood discharges in the middle and lower basin related to the spatial patterns and temporal trends of both precipitation and individual rainstorms in the last 40 years. The rainstorms have aggravated floods in the middle and lower Yangtze River Basin in recent decades. The observed trends in precipitation and rainstorms are possibly caused by variations of atmospheric circulation (weakened summer monsoon) under climate warming.     

新疆北部夏季降水与海温异常的关系

利用1960—2004年新疆北部36个气象站月降水资料和美国国家气候数据中心重建的1960—2004年全球2°×2°月平均海洋表面温度资料,研究了新疆北部夏季降水与海温异常的关系。研究表明,新疆北部夏季降水变化与ENSO事件关系不密切,而与前期冬末—春季的5个海温敏感区密切联系,这5个海温敏感区分别为北印度洋、西太平洋暖池及黑潮区、热带中东太平洋、北大西洋和热带大西洋。前期春季海温异常与新疆北部夏季降水变化联系最显著,表现为显著正相关关系。研究为预测新疆北部夏季降水提供了有益的因子。     

Climate change on the southern slope of Mt. Qomolangma （Everest） Region in Nepal since 1971

Based on monthly mean, maximum, and minimum air temperature and monthly mean precipitation data from 10 meteorological stations on the southern slope of the Mt. Qomolangma region in Nepal between 1971 and 2009, the spatial and temporal characteristics of climatic change in this region were analyzed using climatic linear trend, Sen＇s Slope Estimates and Mann-Kendall Test analysis methods. This paper focuses only on the southern slope and attempts to compare the results with those from the northern slope to clarify the characteristics and trends of climatic change in the Mt. Qomolangma region. The results showed that： （1） between 1971 and 2009, the annual mean temperature in the study area was 20.0℃, the rising rate of annual mean temperature was 0.25℃/10a, and the temperature increases were highly influenced by the maximum temperature in this region. On the other hand, the temperature increases on the northern slope of Mt. Qomolangma region were highly influenced by the minimum temperature. In 1974 and 1992, the temperature rose noticeably in February and September in the southern region when the increment passed 0.9℃. （2） Precipitation had an asymmetric distribution; between 1971 and 2009, the annual precipitation was 1729.01 mm. In this region, precipitation showed an increasing trend of 4.27 mm/a, but this was not statistically significant. In addition, the increase in rainfall was mainly concentrated in the period from April to October, including the entire monsoon period （from June to September） when precipitation accounts for about 78.9% of the annual total. （3） The influence of altitude on climate warming was not clear in the southern region, whereas the trend of climate warming was obvious on the northern slope of Mt. Qomolangma. The annual mean precipitation in the southern region was much higher than that of the northern slope of the Mt. Qomolangma region. This shows the barrier effect of the Himalayas as a whole and Mt. Qomolangma in particular.     

1981-2010 年柴达木盆地气候要素变化特征及湖泊和植被响应

以1981-2010 年柴达木盆地及其周边气象站点逐月气温和降水量资料为基础, 通过气候趋势分析、气候突变分析等方法, 研究了柴达木盆地气候要素的变化特征, 并结合Landsat TM/ETM+影像、NOAA/AVHRR-NDVI和EOS/MODIS-NDVI 数据, 研究了近30 年来柴达木盆地湖泊面积和植被生长的动态变化及其对气候要素的响应。结果表明:① 1981-2010 年, 柴达木盆地气温整体升高, 秋冬增幅最为明显, 年平均气温在1997 年发生暖突变, 1998 年以后升温趋势显著。② 1981-2010 年, 柴达木盆地年可利用降水量经历了“减少—增加—减少—增加”的变化, 但整体呈增加趋势, 1980-1985 年、1990-2001 年, 年可利用降水量呈减少趋势;1985-1990 年、2001-2010 年, 年可利用降水量呈增加趋势。③ 柴达木盆地湖泊面积受夏季可利用降水量影响显著, 1985-2010 年, 托素和冬给措纳湖泊面积呈“扩张—萎缩—扩张”变化;1985-1990 年, 湖面轻微扩张;1990-2001 年, 湖面明显萎缩;2001 年以后, 湖面显著扩张。④ 柴达木盆地植被生长受生长季可利用降水量影响显著, 1982-2010 年柴达木盆地植被生长呈“退化—改善—退化—改善”变化, 但整体呈改善趋势;1982-1985 年植被轻微退化, 1985-1990 年植被轻微改善, 1990-2001 年植被显著退化, 2001 年以后植被显著改善。     

塔里木河流域径流变化趋势及其对气候变化的响应

This paper has studied the change of streamflow and the impact of climatic variability conditions on regional hydrological cycle in the headwater of the Tarim River Basin. This study investigates possible causes of observed trends in streamflow in an environment which is highly variable in terms of atmospheric conditions, and where snow and ice melt play an important role in the natural hydrological regime. The discharge trends of three head streams have a significant increase trend from 1957 to 2002 with the Mann-Kendall test. Complex time-frequency distributions in the streamflow regime are demonstrated especially by Morlet wavelet analysis over 40 years. The purpose is to ascertain the nature of climatic factors spatial and temporal distribution, involved the use of EOF （Empirical Orthogonal Function） to compare the dominant temperature, precipitation and evaporation patterns from normally climatic records over the Tarim＇s headwater basin. It shows that the first principal component was dominated since the 1990s for temperature and precipitation, which identifies the significant ascending trend of spatial and temporal pattern characteristics under the condition of the global warming. An exponential correlation is highlighted between surface air temperature and mean river discharge monthly, so the regional runoff increases by 10%-16% when surface air temperature rises by 1 ℃. Results suggest that headwater basins are the most vulnerable environments from the point of view of climate change, because their watershed properties promote runoff feeding by glacier and snow melt water and their fundamental vulnerability to temperature changes affects rainfall, snowfall, and glacier and ice melt.     

基于多源降水数据的洞庭湖流域夏季降水与西太平洋副热带高压的关系

基于中国气象科学数据共享服务网提供的1979~2012年夏季6~8月降水实测数据（CMD）和3种不同来源的再分析降水数据,研究和比较副高特征指数与洞庭湖流域夏季降水的关系及空间差异。结果表明：① 6、7月副热带高压（副高）脊线位置偏北,洞庭湖流域大部分区域降水偏多,8月偏少;6、7月北界位置偏北使流域东南降水偏少、西北降水偏多,8月大部分地区降水偏多;6~8月西伸脊点位置东移使降水偏多范围自东向西增大;6月份副高强度增强使东部和南部降水偏多、西部和北部降水偏少,7和8月大部分地区降水减少。② 再分析降水数据大体上能反映出7月份脊线指数、6和7月北界指数、6~8月西伸脊点指数和副高强度指数对相应月份CMD降水的影响。③ 副高特征指数对CMD降水的拟合能力存在区域差异。     

黑河流域春季降水空间分异性特征及其与黑河流量的相关分析

利用黑河流域13个气象站建站至2012年3—5月降水量资料和黑河莺落峡水文站流量资料,分析了黑河流域春季降水的基本气候特征;通过EOF、REOF、Morlet小波变换等方法,对黑河流域春季降水的时空特性进行了研究;用Mann-Kendall检验法检验黑河流域春季降水序列是否存在突变现象.结果表明:黑河流域春季降水空间分布极不均匀,其空间分布特征是南部为多雨区、北部为少雨区.黑河流域春季降水在第一空间尺度上为全区一致,在第二空间尺度上可分为2个自然气候区,在第三空间尺度上可分为3个自然气候区.从年代际变化来看,21世纪最初10年是近半个世纪来降水最多的10年,20世纪70年代是降水最少的10年;黑河流域春季降水的年际变率十分显著,降水最多的年份是最少年份的6倍多.1961—2012年间河西走廊春季降水发生了明显的突变:2001年出现了一次趋于增多的突变.最显著的周期是4年的短周期、14年和22年的长周期.黑河流域春季各月降水与黑河流量均呈正相关,尤其是春季各月降水滞后1个月的相关和5月份降水的同期相关性显著;春季气温与黑河流量也均呈正相关,特别是春季各月气温的同期相关和3月气温滞后1个月的相关性显著,说明黑河流量的增加取决于前期降水量的增加和同期气候的明显变暖.     

1900-2009 年中国均一化逐月降水数据集研制

收集、整理全国1900-2009 年110 年逐月站点历史降水量资料,采取标准正态检验(SNHT) 方法,对台站序列进行了均一性检验,并对部分明显不连续的站点序列进行了均一化调整和订正。在此基础上,分别对近百年降水距平序列和1971-2000 年气候标准值进行了网格化,形成了逐月网格化气候数据集(5°×5°,2°×2°),并采用经验正交展开(EOF) 技术方案进行了统计插补实验,形成了完整的5°×5°经纬度网格点数据集。基于不同分辨率网格数据集,建立了110 年中国降水变化序列,计算了110 年中年及季节降水量变化趋势。结果表明,中国近110 年来年降水量变化略呈下降趋势,但没有达到统计显著性水平,各个季节的情况略有差别。统计插补后对1900年以后几年的降水量略有下降,使得近百年线性趋势略上升。     

青海湖地区植被覆盖及其与气温降水变化的关系

使用1981年到2003年月NDVI(归一化植被指数）资料,计算了青海湖地区植被覆盖度,分析了该地区植被覆盖度的历史演变,发现其值在增大,尤其是从1996到2003年,青海湖地区的植被覆盖度都为正距平,NDVI年平均增长率为1.07×10-3。四季的植被覆盖度均为增加趋势,夏季增加最多。月平均温度与月植被覆盖度、春夏季降水与夏秋季植被覆盖度显著正相关。因此,热量条件和春夏季降水是影响青海湖地区植被生长的关键性因素。     

云南文山一次低涡暴雨成因初探

利用FY2G卫星云图、雷达资料、自动雨量站等观测资料和NCEP/NCAR逐6 h 2.5°×2.5°再分析资料对2018年6月22日~25日云南省文山州大暴雨天气过程进行分析。结果表明,此次暴雨过程的主要影响系统是两高之间的辐合区和低涡切变线。由于高原槽不断东移加深,孟湾低压与印度半岛低压系统合并加强,西太平洋副热带高压加强西伸,文山州受强偏南气流影响,产生强烈水汽辐合,造成持续强降水;不断有对流单体发展且合并到大的对流云团中,有较大范围的对流云团持续影响是此次大暴雨的主要云图特征;雷达上持续存在“S”型径向速度图,且存在较强降水回波在文山附近生消发展,造成明显的“列车效应”。     

TMPA降水数据在澜沧江流域干旱监测中的评估(英文)

Drought is one of the most destructive disasters in the Lancang River Basin, which is an ungauged basin with strong heterogeneity on terrain and climate. Our validation suggested the version-6 monthly TRMM multi-satellite precipitation analysis (TMPA; 3B43 V.6) product during the period 1998 to 2009 is an alternative precipitation data source with good accuracy. By using the standard precipitation index (SPI), at the grid point (0.25°×0.25°) and sub-basin spatial scales, this work assessed the effectiveness of TMPA in drought monitoring during the period 1998 to 2009 at the 1-month scale and 3-months scale; validated the monitoring accuracy of TMPA for two severe droughts happened in 2006 and 2009, respectively. Some conclusions are drawn as follows. (1) At the grid point spatial scale, in comparison with the monitoring results between rain gauges (SPI1g) and TMPA grid (SPI1s), both agreed well at the 1-month scale for most of the grid points and those grid points with the lowest critical success index (CSI) are distributed in the middle stream of the Lancang River Basin. (2) The same as SPI1s, the consistency between SPI3s and SPI3g is good for most of the grid points at the 3-months scale, those grid points with the lowest were concentrated in the middle stream and downstream of the Lancang River Basin. (3) At the 1-month scale and 3-months scale, CSI ranged from 50% to 76% for most of the grid points, which demonstrated high accuracy of TMPA in drought monitoring. (4) At the 3-months scale, based on TMPA basin-wide precipitation estimates, though we tended to overestimate (underestimate) the peaks of dry or wet events, SPI3s detected successfully the occurrence of them over the five sub-basins at the most time and captured the occurrence and development of the two severe droughts happened in 2006 and 2009. This analysis shows that TMPA has the potential for drought monitoring in data-sparse regions.     

邕江洪水的特征及其气候成因研究

利用邕江洪峰水位、年最高水位资料及邕江流域气象测站逐月降雨量资料,对邕江洪水的特征进行分析表明,洪水多数发生在华南后汛期7～9月,并与流域夏季降雨量密切相关。利用NCEP/NCAR再分析资料以及NOAA卫星观测的OLR资料,分析邕江洪水形成的天气气候条件,研究结果表明:热带气旋影响是邕江发生洪水的主要原因。当西太平洋副热带高压位置偏北,邕江流域易受热带辐合带(ITCZ)影响,对流活跃,热带气旋活动频繁,此时邕江易发生洪水;地形对邕江洪水的形成有较重要的作用;邕江洪水易发生在赤道东太平洋海温为负距平的条件下。分析了邕江洪水气候成因。     

1900-2009年中国均一化逐月降水数据集研制(英文)

Based on the collection and processing of the China national-wide monthly station observational precipitation data in 1900-2009,the data series for each station has been tested for their homogeneity with the Standard Normalized Homogeneity Test(SNHT) method and the inhomogeneous parts of the series are adjusted or corrected.Based on the data,the precipitation anomalies during 1900-2009 and the climatology normals during 1971-2000 have been transformed into the grid boxes at 5°×5° and 2°×2° resolutions respectively.And two grid form datasets are constructed by combining the normal and anomalies.After that,the missing values for the 5°×5° grid dataset are interpolated by Empirical Orthogonal Function(EOF) techniques.With the datasets of different resolutions,the precipitation change series during 1900-2009 over China's mainland are built,and the annual and seasonal precipitation trends for the recent 110 years are analyzed.The result indicates that the annual precipitation shows a slight dryer trend during the past 110 years,notwithstanding lack of statistical confidence.It is worth noting that after the interpolation of the missing values,the annual precipitation amounts in the early 1900s become less,which increases the changing trend of the annual precipitation in China for the whole 110 years slightly(from-7.48 mm/100a to-6.48 mm/100a).     

1956-2000年云南红河流域径流的时空分布

This paper studies the variation of runoff of Red River Basin and discusses the influence of＂corridor-barrier＂functions of valleys and mountains on variation of runoff by using GIS and statistic methods based on the monthly precipitation,temperature and evaporation data from 1960 to 2000 at 32 meteorological stations in Red River Basin,and the annual runoff data of Yuanjiang River,Lixian River and Panlong River from 1956 to 2000.The results show out：（1）Under the effect of＂corridor-barrier＂functions of valleys and mountains in Red River Basin,the patterns of annual precipitation and runoff depth distribution in spatial change a NW-SE direction,which is similar with the trend of the Red River valley and Ailao mountains.（2）In the long temporal scale averaged over years,the most obvious effects of the＂corridor-barrier＂functions is on runoff variation,and the second is on the precipitation, but not obvious on the temperature.（3）Under the superposed effect of climate changes and the＂corridor-barrier＂functions of valleys and mountains in Red River Basin,the difference of runoff variation is obvious in the east-west direction：the runoff variation of Yuanjiang River along the Red River Fault present an ascending trend,but the Lixian River on the west side of the Fault and the Panlong River on the east present a descending trend;the annual runoff in Yuanjiang River and Panlong River had a quasi-5a periods,and Panlong River had a quasi-8a periods;the runoff variation are quite inconsistent in different periods among the three river basins.     

SRES A1B情景下德令哈盆地2016-2075年气候变化预估

利用ECHAM5/MPI-OM模式SRES A1B气候情景下预估2016-2075年间60 a的气温及降水资料,通过分析其总体趋势、年代际变化及突变特征,研究德令哈盆地未来气候的变化趋势。预估结果显示：2016-2075年,德令哈盆地气温将可能呈上升趋势,四季及年平均气温的变化总体上基本保持一致,上升幅度在3～4 ℃之间,其中夏季和全年的增温速率相对较大;降水量在未来60 a将基本保持平稳,有微弱的下降趋势,年际间变化以夏季最为显著,降水不均将易导致极端气候事件的发生;无论气温还是降水,预估未来都将有突变发生,气温将在2035年前后发生一次突变,降水量则分别在2030 s末和2040 s初各发生一次突变。     

Trends in Interdiurnal Temperature Variation for the Central United States, 1945–1985

Temporal variation in the absolute value of interdiurnal variability (AIDV) of January maximum temperatures is examined for the period 1945–1985 in the central United States (90°–105°W). AIDV indicates the magnitude of day-to-day changes in the maximum temperature. Five-year running-mean AIDV values decreased significantly throughout the period. This trend was apparent for the region overall and for the 10 of the 20 study sites analyzed individually. Temporal variation in AIDV values was significantly related to mid-tropospheric flow patterns over the central United States. Meridional circulation was associated with smaller AIDV values in all sites except those in the northwestern and southeastern corners of the study area, whereas zonal flow was linked to larger interdiurnal temperature change. The analysis of selected individual years indicated that mid-tropospheric circulation patterns were more persistent with meridional flow, and surface cyclones and their associated surface fronts tracked through the study area less frequently than in years with zonal flow. Analysis at a daily temporal resolution revealed an added dimension of trends in temperature variability beyond those apparent with a coarser monthly resolution. These results emphasize the importance of finer temporal resolution in the analysis of both past and projected climate change; regionally summarized monthly temperature values mask important variation in temperature trends apparent at shorter temporal and more local spatial scales.