Properties of cloud and precipitation over the Tibetan Plateau

The characteristics of seasonal precipitation over the Tibetan Plateau(TP) were investigated using TRMM(Tropical Rainfall Measuring Mission) precipitation data(3B43). Sensitive regions of summer precipitation interannual variation anomalies were investigated using EOF(empirical orthogonal function) analysis. Furthermore, the profiles of cloud water content(CWC) and precipitable water in different regions and seasons were analyzed using TRMM-3A12 data observed by the TRMM Microwave Imager. Good agreement was found between hydrometeors and precipitation over the eastern and southeastern TP, where water vapor is adequate, while the water vapor amount is not significant over the western and northern TP.Further analysis showed meridional and zonal anomalies of CWC centers in the ascending branch of the Hadley and Walker Circulation, especially over the south and east of the TP. The interannual variation of hydrometeors over the past decade showed a decrease over the southeastern and northwestern TP, along with a corresponding increase over other regions.     

The Summer Snow Cover Anomaly over the Tibetan Plateau and Its Association with Simultaneous Precipitation over the Mei-yu–Baiu region

The summer snow anomalies over the Tibetan Plateau （TP） and their effects on climate variability are often overlooked,possibly due to the fact that some datasets cannot properly capture summer snow cover over high terrain.The satellite-derived Equal-Area Scalable Earth grid （EASE-grid） dataset shows that snow still exists in summer in the western part and along the southem flank of the TP.Analysis demonstrates that the summer snow cover area proportion （SCAP） over the TP has a significant positive correlation with simultaneous precipitation over the mei-yu-baiu （MB） region on the interannual time scale.The close relationship between the summer SCAP and summer precipitation over the MB region could not be simply considered as a simultaneous response to the Silk Road pattern and the SST anomalies in the tropical Indian Ocean and tropical central-eastern Pacific.The SCAP anomaly has an independent effect and may directly modulate the land surface heating and,consequently,vertical motion over the western TP,and concurrently induce anomalous vertical motion over the North Indian Ocean via a meridional vertical circulation.Through a zonal vertical circulation over the tropics and a Kelvin wave-type response,anomalous vertical motion over the North Indian Ocean may result in an anomalous high over the western North Pacific and modulate the convective activity in the western Pacific warm pool,which stimulates the East Asia-Pacific （EAP） pattern and eventually affects summer precipitation over the MB region.     

Understanding precipitation recycling over the Tibetan Plateau using tracer analysis with WRF

The precipitation recycling (PR) ratio is an important indicator that quantifies the land-atmosphere interaction strength in the Earth system’s water cycle. To better understand how the heterogeneous land surface in the Tibetan Plateau (TP) contributes to precipitation, we used the water-vapor tracer (WVT) method coupled with the Weather Research and Forecasting (WRF) regional climate model. The goals were to quantify the PR ratio, in terms of annual mean, seasonal variability and diurnal cycle, and to address the relationships of the PR ratio with lake treatments and precipitation amount. Simulations showed that the PR ratio increases from 0.1 in winter to 0.4 in summer when averaged over the TP with the maxima centered at the headwaters of three major rivers (Yangtze, Yellow and Mekong). For the central TP, the highest PR ratio rose to over 0.8 in August, indicating that most of the precipitation was recycled via local evapotranspiration in summer. The larger daily mean and standard deviation of the PR ratio in summer suggested a stronger effect of land-atmosphere interactions on precipitation in summer than in winter. Despite the relatively small spatial extent of inland lakes, the treatment of lakes in WRF significantly impacted the calculation of the PR ratio over the TP, and correcting lake temperature substantially improved both precipitation and PR ratio simulations. There was no clear relationship between PR ratio and precipitation amount; however, a significant positive correlation between PR and convective precipitation was revealed. This study is beneficial for the understanding of land-atmosphere interaction over high mountain regions.

     

青藏高原云水气候特征分析

利用2001~2016年MODIS月平均液相云水路径（Cloud Liquid Water Path,LWP）、冰相云水路径（Cloud Ice Water Path,IWP）资料和ERA-Interim再分析等资料,分析了青藏高原空中云水的分布特征、变化趋势以及与大气环流变化和水汽输送变化的关系。结果显示,LWP和IWP的年平均分布形态与降水、可降水量对应较好,林芝地区聚集了丰富的LWP、IWP、降水量和可降水量。受印度洋季风影响,LWP和IWP存在明显的季节变化,夏季LWP和IWP最丰富,冬季最少。水汽传输和高原的动力、热力作用是影响夏季LWP和IWP分布的主要因素,夏季高原南部相对湿度大,水汽抬升强烈,促进了LWP和IWP的形成和积累。LWP和IWP随海拔高度的变化特征较为相似,3000~5500 m海拔高度区间内二者的总体变化特征与青藏高原降水的梯度变化特征一致,为随高度先较快升高后保持稳定的分布特征。青藏高原年平均和季节平均LWP和IWP在2001~2016年间均以减少趋势为主,这一变化趋势与云量和降水变化趋势一致,LWP和IWP的减少趋势与水汽输送通量散度的增加密切相关。     

青藏高原及其周边地区降水的水汽来源变化研究进展

近几十年来,随着全球气候变暖,青藏高原降水整体呈现增加趋势,气候暖湿化趋势明显;与此同时,位于青藏高原东南缘的中国西南地区整体上呈现暖干化趋势,干旱事件频发。探讨青藏高原及其周边地区降水的水汽来源变化、揭示降水趋势性变化的原因已经成为当前研究热点。本文评述了近年来青藏高原降水的水汽来源研究,重点关注青藏高原变湿、西南地区变干的水汽来源变化原因以及青藏高原南北水汽来源差异,讨论了尚未解决的科学问题,展望了未来研究方向。现有研究表明,青藏高原以西的西风带控制区蒸散发贡献的水汽整体呈现减少趋势,青藏高原以南和以东的季风控制区蒸散发贡献的水汽整体呈现增加趋势,上述水汽源区贡献变化导致了青藏高原及其周边不同区域降水趋势性变化的差异。展望未来,水汽来源分析的模型和数据需要进一步验证及减少不确定性,青藏高原下垫面和蒸散发变化对周边地区降水的影响机制研究有待加强,全球变化与青藏高原降水水汽来源变化的关系尚需深入分析。     

Characteristics of the precipitation over the eastern edge of the Tibetan Plateau

Variations of precipitation over the eastern edge of the Tibetan Plateau are analyzed by using data over station Yaan including daytime, nighttime, and daily-mean precipitation and satellite-derived information. A comparison of some features over Yaan and other stations is also carried out. Over Yaan, light-moderate precipitation contributes significantly to both the number of rainy days (96.9%) and the amount (66.9%) of total precipitation. The light-moderate precipitation occurs more frequently at nighttime than at daytime (by 44.5 days, or 33.4%, and by 520.6 mm, or 134.4%, each year), and the nighttime precipitation is mainly in the form of light-moderate precipitation. The number of rainy days and the amount of total precipitation have decreased from the 1950s to the 1970s and during the recent 20 years, associated with negative trends of light-moderate precipitation. Similar features are also found in the Tropical Rainfall Measuring Mission satellite data. Local convective precipitation is the main form of the light-moderate precipitation over Yaan. The absorption of latent heat at the lower troposphere and the release of latent heat at the upper troposphere are larger at nighttime than at daytime by 1–2 times and 2–3 times, respectively. Both the peak value and the total release of latent heat over Yaan are significantly larger than those over the Tibetan Plateau, eastern China, and the western Pacific warm pool. These distinct local characteristics of the “rain city” Yaan are closely related to the interaction between the atmospheric circulation and the steep topography on the eastern edge of the Tibetan Plateau.     

青藏高原及其邻近区域穿越对流层顶质量通量的时空演变特征

利用1958~2001年ECMWF资料, 根据Wei公式估算了青藏高原及其邻近区域穿越对流层顶的质量通量 (CTF), 分析了CTF的时空分布特征。分析结果表明: (1) CTF分布呈现纬向型, 在副热带西风急流北侧即对流层顶断裂带中存在东西向的TST (对流层向平流层输送)[CD*2]STT (平流层向对流层输送)[CD*2]TST的波列结构 (水平输送项决定), 而南侧分布决定于垂直输送项。 (2) 在80°E~105°E范围内, 冬春季节, 青藏高原南部及其以南区域为TST, 北部为STT; 夏秋季节, 整个区域几乎由TST所控制。西风急流南侧的CTF主要决定于垂直项, 而北侧主要决定于水平项, 再往北, 垂直项与水平项贡献相当。 (3) 青藏高原与孟加拉湾区域平均CTF在所有季节均为TST, 即有从对流层到平流层净的向上输送, 2月强度最大, 7月为另一个极大值; 两个极大值有不同的产生机制, 后者决定于垂直项, 而前者由水平项决定。 (4) 青藏高原 (及孟加拉湾) 区域年平均CTF在1958~2001年之间的变化趋势在1982年左右出现一个转折: 1982年之前, CTF为递减过程; 而之后CTF为相对较强的增长。上述结果表明: 尽管冬季高原上空为下沉气流, 但高原上空的水平输送项有很强的向上贡献, 这与丛春华等 (2003) 得出的STT不一致。但需要指出的是, 根据Wei公式计算的CTF, 〖JP2〗尤其在急流附近, 对资料中存在的误差十分敏感 (Gettleman等, 2000), 因此青藏高原主体上空在冬季是STT还是TST, 有待于进一步的分析研究。     

三种再分析气温降水资料在青藏高原的适用性评价

基于青藏高原61个区域级气象站的气温降水地面观测数据,对CMFD(中国区域高分辨率地区驱动数据集)、CRA(全球大气和陆面再分析资料)以及MERRA-2(大气再分析资料)数据集的日、月、季节以及年气温、降水数据进行精度对比分析,评估3套数据的准确性以及在青藏高原的适用性,结果表明：(1)3套年平均气温资料70%的R_MSE<4℃,其中CMFD拟合精度最高,2/3的站点R_MSE<2℃;CMFD和CRA对年降水的拟合精度较高,MERRA-2低估了高原中部的年降水量。(2)CMFD对季节平均气温整体拟合结果最好,尤其是气温较高的夏季和秋季;CRA在降水较为集中的夏季和秋季拟合结果最接近观测值,而在降水较少的春季和冬季CMFD拟合结果最好。(3)CMFD对月平均气温拟合结果整体上最接近观测值;月降水拟合结果与季节降水结果相似,CMFD对降水偏少月份拟合结果较好,CRA在降水偏多月份最接近观测值。(4)对61个区域站进行日尺度平均气温和降水数据精度评估,发现CMFD和CRA拟合效果最好,CMFD拟合趋势一致性好。     

青藏高原云型的卫星遥感判别方法研究

采用1983—1996年CDIAC全球云观测报告集ECRA资料和ISCCP卫星遥感资料,分析了青藏高原四季云型出现频率的气候统计特征,并根据各云型的光学厚度—云顶气压分布特征,提出了基于光学厚度—云顶气压联合分布频率的青藏高原云型判别方法。结果表明,高云Cid及低云Sc、Cu、Cb是各季节青藏高原上空出现的代表云型,其它云型的出现概率小得多。高云在冬、春季节的出现概率大于秋、夏季节;中低云则相反。青藏高原上空的云在春、夏季节对应的云顶高度(光学厚度)高于(大于)秋、冬季节。在区分不同季节、不同出现类别的前提下,根据光学厚度—云顶气压联合分布频率为1%的临界值所对应的大值分布范围,确定了青藏高原各云型在光学厚度—云顶气压联合分布上的分布图,从而可为卫星遥感判别青藏高原云型提供依据。     

基于CloudSat卫星资料分析青藏高原东部夏季云的垂直结构

本文利用CloudSat卫星资料,对青藏高原东部2006~2010年6~8月云垂直结构的空间分布进行分析,结果表明:(1)夏季青藏高原东部云发展可达到平流层,且高原东部云在5km以下以水云存在,5~10km以液相和固相共存的混态存在,在垂直高度10km以上以冰云存在。由于CloudSat卫星资料云相的反演问题,可能会造成水云和混态云的发展上限偏低,冰云的发展下限抬升。(2)研究区整层水汽输送和云水平均路径空间分布存在一定的差异性,云水含量纬向分布表现为在26.5°~30.5°N附近存在一个明显的峰值区,经向分布表现为95°E以西云水含量低于以东。(3)研究区以单云层为主,尤其在青藏高原主体。单云层平均云层厚度4182 m,云顶高度、云厚限于水汽的输送,表现为由南向北波动下降。多层云发生频率在27°N以北明显减少,说明强烈的对流运动更容易激发多层云的产生。     

青藏高原春季土壤湿度与夏季降水的关系

应用SVD方法对1981-2018年青藏高原春季土壤湿度和高原地区夏季降水进行诊断.结果表明:土壤湿度前两个模态累积协方差百分比达到了 61.15％,左右场展开序列的时间相关系数均为0.7 8,反映两场关系的主要特征.土壤湿度场表现出南北相的一致性,而降水场的一致性较差.第一模态说明青藏高原北部春季土壤湿度较大时,对应...     

青藏高原春季500 hPa纬向风季节内振荡特征及其与我国南方降水的关系

利用NCEP/NCAR日平均再分析资料及中国753个测站日降水资料,采用带通滤波、小波功率谱、合成分析等方法研究了青藏高原春季500 hPa纬向风季节内振荡特征及其与我国南方降水的关系.结果表明,青藏高原春季500 hPa纬向风存在明显的10~30 d季节内振荡特征,该低频振荡主要表现为自西向东和自北向南的传播特征.通过位相合成分析发现,这种季节内振荡对我国南方春季降水有重要影响.当高原500 hPa纬向风季节内振荡处于2~3位相时(即高原上盛行西风异常),对应于我国南方地区春季降水明显偏多;反之,当季节内振荡处于相反位相时(6~7位相,即高原上盛行东风异常),对应于我国南方春季降水明显偏少.南方春季最大正(负)异常降水的出现滞后于高原季节内振荡的峰值(谷值)位相,其滞后时间为2 d.分析结果还表明,高原上空纬向风的季节内振荡活动主要通过中纬度大尺度环流异常对我国南方春季降水产生影响.     

青藏高原对流云团东移发展的不稳定特征

利用1998年6~7月的逐时GMS红外TBB资料、T106的客观分析资料以及沿长江5个站的探空资料，对青藏高原上的对流云团东移维持发展的环流背景条件进行了分析。研究表明:高层气流辐散、低层气流辐合的垂直结构，高低空急流的引导作用，高原东南部和长江流域充沛的水汽条件以及大气层结的不稳定性是造成青藏高原上空对流云团东移的前提条件。     

Summertime atmospheric teleconnection pattern associated with a warming over the eastern Tibetan Plateau

By using a surface air temperature index (SATI) averaged over the eastern Tibetan Plateau (TP), investigation is conducted on the short-term climate variation associated with the interannual air warming (or cooling) over the TP in each summer month. Evidence suggests that the SATI is associated with a consistent teleconnection pattern extending from the TP to central-western Asia and southeastern Europe. Associated rainfall changes include, for a warming case, a drought in northern India in May and June, and a stronger mei-yu front in June. The latter is due to an intensified upper-level northeasterly in eastern China and a wetter and warmer condition over the eastern TP. In the East Asian regions, the time-space distributions of the correlation patterns between SATI and rainfall are more complex and exhibit large differences from month to month. Some studies have revealed a close relationship between the anomalous heating over the TP and the rainfall anomaly along the Yangtze River valley appearing in the summer on a seasonal mean time-scale, whereas in the present study, this relationship only appears in June and the signal's significance becomes weaker after the long-term trend in the data was excluded. Close correlations between SATI and the convection activity and SST also occur in the western Pacific in July and August: A zonally-elongated warm tone in the SST in the northwestern Pacific seems to be a passive response of the associated circulation related to a warm SATI. The SATI-associated teleconnection pattern provides a scenario consistently linking the broad summer rainfall anomalies in Europe, central-western Asia, India, and East Asia.     

南亚高压上下高原时间及其与高原季风建立早晚的关系

本文利用1948—2013年NCEP/NCAR逐日再分析资料,定义了南亚高压动态特征指数,讨论了南亚高压上下高原的时间以及与高原季风建立早晚的关系。研究表明,南亚高压北界位置在4月初开始北移,5月迅速北抬,最北可达到55°N,9月开始南撤,西伸脊点在5—10月移动较稳定,5—7月向西移动到青藏高原上空,8—10月向东移动撤离高原,11月—次年4月东西摆动剧烈。南亚高压初上高原大致为6月第3候(33候),而撤离约为10月第4候(58候)。南亚高压移上高原的时间较高原夏季风建立晚73 d左右。南亚高压撤离高原时间较高原冬季风建立约早5 d。高原夏季风的建立和南亚高压初上高原是青藏高原热力作用在不同阶段的结果,反映在了高原的高低层上。     

Evaluation of CORDEX regional climate models in simulating temperature and precipitation over the Tibetan Plateau

区域气候模式对研究地形复杂的青藏高原地区气候具有高分辨率的优势。以前的相关研究主要基于单个区域模式,我们评估了CORDEX多区域气候模式对青藏高原气候的模拟能力。结果显示:(1)5个区域气候模式一致模拟出了相似的气温、降水空间模态,但产生了冷偏差和湿偏差。所有区域气候模式未能再现观测的气温、降水趋势空间模态,并且平均高估了气温趋势、低估了降水趋势。综合考虑模拟的气温、降水趋势,多模式集合的结果最优。就单个模式而言,Reg CM4所得趋势最为合理。(2)各区域气候模式结果之间的差异十分显著,表明青藏高原气候模拟具有很大的模式依赖性。这一结果建议当利用单个区域气候模式开展青藏高原气候变化研究时需要谨慎。(3)多区域模式集合预估显示,相对1986–2005年,到2016–2035年气温(降水)将增加1.38±0.09°C(0.8%±4.0%)(RCP4.5)和1.77±0.28°C(7.3%±2.5%)(RCP8.5)。这些结果从多模式角度提高了我们对运用区域气候模式研究青藏高原气候的认识。     

青藏高原那曲地区夏季对流云结构及雨滴谱分布日变化特征

利用青藏高原东侧甘孜站Ka波段云雷达2019年6—8月观测资料,对该地区非降水云垂直结构特征进行了分析。结果表明：（1）甘孜非降水云中单层云的出现率为78.3%,高于两层云的出现率18.3%和多层云的出现率3.4%。分不同高度云来看,低云的出现率为46%,中云和高云各占27%,当云层数增加时,中云和高云的出现率增加。（2）云的出现率具有白天小、夜间大的日变化特征,云层数增多后,上层云出现率的日变化特征减弱;地形对云出现率的日变化有一定影响。（3）云底高和云顶高的垂直分布结构多为双峰形态,当出现三层云时,下层云的垂直结构为单峰形态。（4）甘孜云厚呈现出云压缩现象：单层云的平均云厚约为3.8 km;两层云的下层云平均云厚约为2.5 km,上层云平均云厚约为1.5 km;三层云的下层云平均云厚减小至约1.8 km,上层云平均云厚减小至约1.2 km,中层云平均云厚最小,约为1 km;云压缩现象随云层数增加而愈发明显。地基云雷达展示了局地云探测的优势,有益于高原云探测和研究。

     

Tibetan Plateau summer precipitation: covariability with circulation indices

Relations between Tibetan Plateau precipitation and large-scale climate indices are studied based on the Standardized Precipitation Index (SPI) and the boreal summer season. The focus is on the decadal variability of links between the large-scale circulation and the plateau drought and wetness. Analysis of teleconnectivity of the continental northern hemisphere standardized summer precipitation reveals the Tibetan Plateau as a major SPI teleconnectivity center in south-eastern Asia connecting remote correlation patterns over Eurasia. Employing a moving window approach, changes in covariability and synchronizations between Tibetan Plateau summer SPI and climate indices are analyzed on decadal time scales. Decadal variability in the relationships between Tibetan Plateau summer SPI and the large-scale climate system is characterized by three shifts related to changes in the North Atlantic, the Indian Ocean, and the tropical Pacific. Changes in the North Atlantic variability (North Atlantic Oscillation) result in a stable level of Tibetan Plateau summer SPI variability; the response to changes in tropical Pacific variability is prominent in various indices such as Asian monsoon, Pacific/North America, and East Atlantic/Western Russia pattern.