桂林洞穴滴水与现代碳酸钙δ18O记录的环境意义--以桂林七星岩NO.15支洞为例

现代洞穴动态监测的一个先决条件就是为洞穴碳酸盐(CaCO₃)沉积物-石笋的各种替代指标的解译提供可靠的依据,充分利用现代碳酸盐(CaCO₃)沉积物的各种替代指标,并与现代器测气象资料进行相互对比、并用以校正,是精确或定量解释石笋气候替代指标的关键.
经对桂林七星岩15号支洞的5个滴水点进行了长达四个水文年(2008~2011年)的大气降水、洞穴滴水、现代碳酸盐沉积物的动态监测和研究,并探讨了洞穴滴水和现代碳酸盐(CaCO₃)的δ18O与降水δ18O的相关关系.研究表明,洞穴滴水和现代碳酸盐(CaCO₃)的年平均δ18O值非常接近降水的δ18O平均值,并具有与地表降水δ18O相同的变化趋势,反映了洞穴滴水和现代碳酸盐(CaCO₃)的δ18O主要来自大气降水的δ18O,即明显受控于降水的δ18O.在4个水文年中,现代洞穴次生化学碳酸盐(CaCO₃)沉积物的δ18O值与滴水的δ18O值记录的年内(或年际)变化或多年的变化趋势基本相同,表现出明显的四高峰(δ18O低值区)四低谷(δ18O高值区)的波动变化特征,具有明显的年际、季节性变化规律,显示具有雨热同季的特点.研究结果表明洞穴滴水和洞穴现代碳酸盐(CaCO₃)沉积物的δ18O可以记录当地或洞穴上方的气候变化信号,即现代碳酸盐(CaCO₃)沉积物的δ18O主要作为夏季风强度或降雨量的替代指标.     

中国大陆降水时空变异规律——I.气候学特征

为系统了解大尺度降水气候特征,利用2 300多个国家级气象站逐日观测资料,分析了中国大陆1956—2013年多年平均降水的空间分布和季节性变化规律。主要新认识有:① 暴雨量、暴雨日数和暴雨强度最高的站点在华南沿海,而小雨量、小雨日数最多的站点主要在江南内陆山区、丘陵;东部季风区山地、丘陵多出现低强度降水,平原和沿海易出现高强度降水;② 四季降水量均由西北内陆向东南沿海递增,南方秋季降水量明显小于春季,但华西和江南沿海秋季降水量较多,冬季降水在东南丘陵出现高值中心;③ 珠江和东南诸河流域降水量年内存在2个峰值,其中珠江流域有6月主峰值和8月次峰值,东南诸河流域主峰在6月中下旬,次峰在8月末,长江流域总体表现为单峰型,出现在6月下旬和7月初,西南诸河流域和北方所有流域降水均表现为夏季单峰型;④ 南方各大河流域从2月末到6月中下旬陆续进入雨季,北方各大河流域进入雨季时间集中在6月末、7月初;南、北方雨季结束时间比雨季开始时间集中,从南到北进入雨季时间持续120 d以上,而从北到南退出雨季时间则仅持续不到45 d;⑤ 丰雨期的持续时间,珠江流域从5月初到9月上旬后期,东南诸河从5月上旬到7月上旬,8月末到9月初再度短暂出现,长江流域从6月中下旬到7月中旬,西南诸河从7月中旬到 8月下旬,淮河流域从7月上旬至7月底、8月初,辽河流域在8月初出现极短丰雨期;⑥ 降水年际变异性最高的站点在青藏高原西南、塔里木盆地、阿拉善高原、华北平原北部和汾河谷地,海河流域年降水具有最大的变异系数。     

晚中新世-上新世黄土高原佳县红粘土剖面碳同位素记录与C4植被演化

新生代C4植被开始扩张的年代、过程和驱动机制是全球古气候变化研究的焦点问题.中国黄土高原的黄土-红粘土剖面保存了连续的古生态演化记录,是研究这一关键科学问题的理想载体.本文选择黄土高原北部佳县厚达64m的红粘土剖面(8.2～2.7Ma),对190个层位的次生方解石矿物进行了无机碳同位素测试,由此分析了晚中新世-上新世末的C4植被扩张和演化过程.C4植被持续增长与全球冰盖的扩张基本一致,表明气候变冷很可能导致了黄土高原区域气候的干旱化与降雨季节性的增强.C4植被的扩张存在明显的3个阶段,分别以6.6Ma和3.6Ma为界限,每一次扩张增加10％左右,暗示了全球性的构造事件对黄土高原植被演化的控制.此外,佳县红粘土剖面呈现10次持续时间为10 ～ 20万年的碳同位素正漂移事件,平均每40万年发生一次,说明40万年轨道周期也控制着C4植被的演化.     

降雨量等值线图的自动绘制方法

针对当前等值线自动绘制方法中存在的不足,该文以四川区域降雨量为例,分析降雨等值线的特点,依据计算机自动化等值线绘制的基本原则,给出了降雨量等值线的网格区域插值、等值线追踪、等值线平滑和等值线标注整个自动绘制流程的算法设计与具体实现。实验证明该方法易行、准确,可以拓展到更多的等值线绘制领域。     

Towards More Snow Days in Summer since 2001 at the Great Wall Station,Antarctic Peninsula:The Role of the Amundsen Sea Low

The variation in the precipitation phase in polar regions represents an important indicator of climate change and variability.We studied the precipitation phase at the Great Wall Station and Antarctic Peninsula(AP)region,based on daily precipitation,synoptic records and ERA-Interim data during the austral summers of 1985?2014.Overall,there was no trend in the total precipitation amount or days,but the phase of summer precipitation(rainfall days versus snowfall days)showed opposite trends before and after 2001 at the AP.The total summer rain days/snow days increased/decreased during 1985?2001 and significantly decreased at a rate of?14.13 d(10 yr)?1/increased at a rate of 14.31 d(10 yr)?1 during 2001?2014,agreeing well with corresponding variations in the surface air temperature.Further,we found that the longitudinal location of the Amundsen Sea low(ASL)should account for the change in the precipitation phase since 2001,as it has shown a westward drift after 2001[?41.1°(10 yr)?1],leading to stronger cold southerly winds,colder water vapor flux,and more snow over the AP region during summertime.This study points out a supplementary factor for the climate variation on the AP.     

Fidelity of the APHRODITE Dataset in Representing Extreme Precipitation over Central Asia

Using rain-gauge-observation daily precipitation data from the Global Historical Climatology Network (V3.25) and the Chinese Surface Daily Climate Dataset (V3.0), this study investigates the fidelity of the AHPRODITE dataset in representing extreme precipitation, in terms of the extreme precipitation threshold value, occurrence number, probability of detection, and extremal dependence index during the cool (October to April) and warm (May to September) seasons in Central Asia during 1961–90. The distribution of extreme precipitation is characterized by large extreme precipitation threshold values and high occurrence numbers over the mountainous areas. The APHRODITE dataset is highly correlated with the gauge-observation precipitation data and can reproduce the spatial distributions of the extreme precipitation threshold value and total occurrence number. However, APHRODITE generally underestimates the extreme precipitation threshold values, while it overestimates the total numbers of extreme precipitation events, particularly over the mountainous areas. These biases can be attributed to the overestimation of light rainfall and the underestimation of heavy rainfall induced by the rainfall distribution–based interpolation. Such deficits are more evident for the warm season than the cool season, and thus the biases are more pronounced in the warm season than in the cool season. The probability of detection and extremal dependence index reveal that APHRODITE has a good capability of detecting extreme precipitation, particularly in the cool season.     

Attribution of Persistent Precipitation in the Yangtze–Huaihe River Basin during February 2019

In February 2019, a month-long persistent precipitation event occurred in the Yangtze–Huaihe River basin. The geopotential height field that affected the duration of this frontal rainfall was divided into a high-latitude part and a low-latitude part for analysis. In the high-latitude part, a two-wave structure led to quasi-stationary circulation, and the change of both the blocking high pressure and Arctic Oscillation phase caused cold air to invade South China continuously and changed the frontal position. In mid-to-low latitudes, the persistent precipitation showed quasi-biweekly oscillation characteristics. The so-called “subtropical high–precipitation–anticyclone” (SHPA) feedback mechanism blocked the circulation systems in the mid-to-low latitudes and provided a continuous supply of water vapor for precipitation. As for the effect of sea surface temperature, the western North Pacific anomalous anticyclone stimulated by El Ni?o strengthened the intensity of the southerly wind and provided support for the redevelopment of the anticyclone system in the SHPA feedback mechanism. The sea surface temperature anomaly in the South China Sea provided sensible heating for precipitation, and convergent rising airflow was conducive to the occurrence of precipitation. Additionally, the SHPA mechanism provides a reliable basis for the prediction of persistent precipitation in winter in the mid-to-low latitudes.     

在ENSO不同位相下青藏高原春季感热对华南盛夏降水的影响

根据青藏高原(简称高原)春季感热(Sensible Heat,SH)异常和ENSO不同位相,划分出12种类型,研究了高原春季(5月)SH异常和前冬ENSO对华南盛夏(7—8月)降水的影响及相对影响程度。结果表明:高原春季SH和前冬ENSO均对华南盛夏降水有较显著的影响,即当两者分别处于各自正(负)位相时,华南盛夏降水普遍偏少(多);通过对两者的单独作用和协同作用的分析表明,高原春季SH对华南盛夏降水贡献要更大。影响机制分析发现华南盛夏降水受西太平洋副热带高压(简称西太副高)和南亚高压共同影响,ENSO直接影响西太副高,而高原春季SH异常则对南亚高压作用显著,因此在两者共同影响下,两个高压的变化共同导致华南盛夏降水出现异常。      

2019年中国气候主要特征及主要天气气候事件

2019年我国气候总体呈现暖湿特征。全国年平均气温较常年同期偏高0.79℃,为1951年以来连续第五暖年,四季气温均偏高,春、秋季明显偏暖;年降水量为645.5 mm,较常年同期偏多2.5%,冬、春、夏季降水偏多,秋季偏少。华南前汛期开始早、结束晚,为1961年以来最长前汛期,雨量为1961年以来次多;西南雨季开始和结束均偏晚,雨量偏少;入梅晚、出梅早,梅雨量偏少;华北雨季开始晚,结束与常年一致,雨量偏少;东北雨季开始早、结束晚,雨量偏多;华西秋雨开始早、结束晚,雨量偏多。2019年,台风生成多,登陆强度总体偏弱,仅台风利奇马灾损重;暴雨洪涝、干旱、强对流、低温冷冻害和雪灾、沙尘暴等气象灾害均偏轻。     

2018年7月15—17日北京极端强降水过程三类对流风暴及其强降水特征分析

2018年7月15—17日,北京遭遇当年入汛以来最强降水过程。该过程具有持续时间长、累计雨量大、局地雨强强等特点。针对小时降水量阶段性减弱的特征,对该过程不同阶段三类对流风暴及其强降水特点进行了对比分析。结果表明： 16日凌晨副热带高压边缘暖区强降水主要由低质心型对流风暴造成,该时段暖湿层结深厚,垂直风切变较弱;对流系统具有类似热带强降水型风暴特征,加之“列车效应”影响,导致北京密云出现极端强降水;高质心型对流风暴出现在16日至17日凌晨,受高空槽和副热带高压共同影响,中层有干空气侵入,整层垂直风切变较强;对流系统存在悬垂结构特征,但局地性强、移速快,其造成的最大降水量要弱于低质心型对流风暴;混合型对流风暴对应17日高空槽过境的强降水,该时段能量和水汽条件较前期明显减弱;对流风暴的强度和降水量级在三类风暴中最弱。不同类型对流风暴对应的环境条件、结构特征及其移动传播特点决定了该过程不同阶段的降水强度和量级。