Evaluation of five gridded rainfall datasets in simulating streamflow in the upper Dong Nai river basin,Vietnam

Rainfall data with an appropriate spatial resolution is a key input to hydrological models. However, networks of rain gauges are often sparsely and unevenly distributed in large catchments, especially in developing countries. High-resolution rainfall datasets, such as the Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), the Climate Forecast System Reanalysis (CFSR), the Climatic Research Unit Time Series (CRU-TS), the Global Precipitation Climatology Centre (GPCC) and the Tropical Rainfall Measuring Mission (TRMM), have become available to overcome such limitations. The objective of this study was to evaluate the impacts of four land-based rainfall products (APHRODITE, CFSR, CRU-TS, and GPCC) and a satellite-based rainfall product (TRMM) on streamflow of the upper catchment of Tri An reservoir in Vietnam using the Hydrological Modeling System (HEC-HMS). In addition, the available rain gauges data were used for comparison purpose. Result indicates that the TRMM and GPCC data show their best match to rain gauges data in simulating the streamflow in the period 1999–2007. Generally, the results indicate that the TRMM and GPCC data could be alternative solutions.     

Evaluation of precipitation products over complex mountainous terrain: A water resources perspective

The availability of in situ measurements of precipitation in remote locations is limited. As a result, the use of satellite measurements of precipitation is attractive for water resources management. Combined precipitation products that rely partially or entirely on satellite measurements are becoming increasingly available. However, these products have several weaknesses, for example their failure to capture certain types of precipitation, limited accuracy and limited spatial and temporal resolution. This paper evaluates the usefulness of several commonly used precipitation products over data scarce, complex mountainous terrain from a water resources perspective. Spatially averaged precipitation time series were generated or obtained for 16 sub-basins of the Paute river basin in the Ecuadorian Andes and 13 sub-basins of the Baker river basin in Chilean Patagonia. Precipitation time series were generated using the European Centre for Medium Weather Range Forecasting (ECMWF) 40 year reanalysis (ERA-40) and the subsequent ERA-interim products, and the National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis dataset 1 (NCEP R1) hindcast products, as well as precipitation estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN). The Tropical Rainfall Measurement Mission (TRMM) 3B42 is also used for the Ecuadorian Andes. These datasets were compared to both spatially averaged gauged precipitation and river discharge. In general, the time series of the remotely sensed and hindcast products show a low correlation with locally observed precipitation data. Large biases are also observed between the different products. Hydrological verification based on river flows reveals that water balance errors can be extremely high for all evaluated products, including interpolated local data, in basins smaller than 1000 km². The observations are consistent over the two study regions despite very different climatic settings and hydrological processes, which is encouraging for extrapolation to other mountainous regions.     

An Investigation into the Relationship between Surface Rain Rate and Rain Depth over Southeast Asia

The relationship between surface rain rate and depth of rain system(rain depth) over Southeast Asia is examined using 10-yr Tropical Rainfall Measuring Mission(TRMM) precipitation radar(PR) measurements.Results show that,in general,a large surface rain rate is associated with a deep precipitating system,but a deep rain system may not always correspond with a large surface rain rate.This feature has a regional characteristic.Convective rain develops more frequently over land than over the ocean,while stratiform rain can extend to higher altitudes over the ocean than over land.A light surface rain rate has the largest probability to occur,regardless of rain depth.A convective rain system is more likely associated with a stronger surface rain rate than a stratiform rain system.Results show that precipitation systems involve complex microphysical processes.Rain depth is just one characteristic of precipitation.A linear relationship between surface rain rate and rain depth does not exist.Both deep convective and stratiform rain systems have reflectivity profiles that can be divided into three sections.The main difference in their profiles is at higher levels,from 4.5 km up to 19 km.For shallow stratiform rain systems,a two-section reflectivity profile mainly exists,while for convective systems a three-section profile is more common.     

Eddy Activities around the Nansei Shoto (Okinawa Islands) Revealed by TRMM

Sea surface temperature (SST) variation around the Nansei Shoto (Okinawa Islands), Japan from March 1998 to February 1999 is investigated using the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) images. Root mean squared (RMS) error of SST by TMI from the in situ observed SST is 0.9°C. The results of statistical analysis of SST by TMI show that a 14–16 days period variation dominates around the main Okinawa Island, while a 9–11 days period variation dominates along the shelf edge of the East China Sea. This revised version was published online in July 2006 with corrections to the Cover Date.     

藏北高寒牧区NPP的时空变化特征及2 ℃全球变暖背景下的预估

利用多源气象要素数据估算了1998 - 2016年的藏北高寒牧区植被净初级生产力（Net Primary Productivity, NPP）的变化特征并预估了其在2 ℃全球变暖背景下的变化趋势, 结果表明： 研究区域71.9%的NPP呈上升趋势, 仅中部部分区域有下降趋势; 平均NPP以每年0.54%速率增加, 同期气温和降水均呈增加趋势, NPP和气温在2007前后有显著增加趋势; 总体来说降水是影响NPP的最主要气候因子, 且随着纬度升高其影响越来越大, 气温对于NPP的影响从东南向西北依次递减, 在西北地区出现弱的负相关; 在2 ℃全球变暖大背景下, 分析得出IPCC“典型浓度路径”（Representative Concentration Pathways, 简称RCPs）三种温室气体排放情景下（RCP2.6、 RCP4.5、 RCP8.5）的NPP平均状态几乎没有变化, 其影响仅限于对研究区东南部的较高NPP有较小的改善作用, 其作用依次为\mathrm{高}\mathrm{浓}\mathrm{度}\mathrm{排}\mathrm{放}\approx \mathrm{中}\mathrm{浓}\mathrm{度}\mathrm{排}\mathrm{放}>\mathrm{低}\mathrm{浓}\mathrm{度}\mathrm{排}\mathrm{放}, 表明气候变暖对研究区NPP影响有限, 预估结果对认清高原地区气候变化下NPP时空变化特征有重要意义。     

3维成像微波高度计风速反演

随着航天技术的发展和新型微波载荷的发射(如3维成像高度计),越来越多的小入射角海洋观测雷达将投入运行,如何有效地利用这些小入射角的后向散射数据成为研究的热点课题。利用TRMM(Tropical Rainfall Measuring Mission)的PR(Precipitation Radar)后向散射系数NRCS(Normalized Radar Cross Section)数据对小入射角情况下的海面风速反演方法和风速反演精度进行研究,并对风速反演性能进行统计分析。基于无雨条件下的PR海面后向散射数据,建立小入射角情况下的风速反演算法和经验的GMF模型。风速反演结果分别与浮标、ASCAT进行交叉比对。结果表明:反演风速的偏差小于0.28 m/s,标准差小于1.51 m/s;在中等风速条件下,反演风速的偏差和标准差均小于低风速条件和高风速条件;0°—8°入射角范围内的风速反演精度明显优于8°—12°入射角范围的风速反演精度。     

对流性降水云辐射特性研究

结合MM5模式和三维微波辐射传输模式,对2002年7月22～23日发生在湖北宜昌附近一次中尺度强降水过程中的强降水中心的对流性降水云的微波辐射特性进行了模拟,模拟结果表明：MM5模式可以较好地模拟此次降水过程;云中各微物理量的含量和分布对上行微波辐射亮温有重要影响;就物理方法而言,选用适当的云廓线,是利用微波信息反演降水的关键。     

地基雷达与TRMM/PR的一致性分析

天气雷达对中小尺度灾害性天气具有较强的监测预警能力,对研究中小尺度对流系统的云雨结构、理解降水内部的热力学和动力学过程有很大的帮助。单站点地基雷达受到诸如电磁波衰减、地物干扰等影响,在探测上存在一些限制。为了扩大天气雷达探测区域,需要采用多部天气雷达组网联合探测。然而雷达组网的各雷达之间没有进行统一标定,影响雷达网资料一致性、组网拼图,以及使雷达资料在数值模式同化的应用中受到限制。本文以TRMM(Tropical Rainfall Measuring Mission)卫星搭载的经过精确标定的测雨雷达PR(Precipitation Radar)数据产品作为标准参照源,订正地基雷达GR(Ground-based Radar)的反射率因子偏差。为了减小PR与GR之间观测值对比的不一致性,利用最佳配对数据对比法(ABCD, Available Best Comparable Dataset法),对2008年1月至2014年9月间,江苏省六部地基雷达(南京、常州、连云港、南通、徐州、盐城)的反射率因子值进行订正。最后对方法的应用范围、存在的问题及未来展望进行了讨论。     

Evaluation of Tropical Rainfall Measuring Mission (TRMM) satellite precipitation products for drought monitoring over the middle and lower reaches of the Yangtze River Basin,China

Drought is one of the most frequent and widespread natural disasters and has tremendous agricultural, ecological, societal, and economic impacts. Among the many drought indices, the standardized precipitation index(SPI) based on monthly precipitation data is simple to calculate and has multiscale characteristics. To evaluate the applicability of high spatiotemporal resolution satellite precipitation products for drought monitoring, based on the Tropical Rainfall Measuring Mission(TRMM) products and station-based meteorological data, the SPI values at different time scales(1, 3, 6, and 12 months) were calculated for the period of 1998–2016 in the middle and lower reaches of the Yangtze River Basin(MLRYRB). The temporal correlations show that there is a high degree of consistency between calculations at the different time scales(1, 3, 6 and 12 months) based on the two data sources and that the amplitude of fluctuations decreases with increasing time scale. In addition, the Mann-Kendall(MK) test method was applied to analyze the trends from 1998 to 2016, and the results suggest that wetting trends clearly prevailed over drying trends. Moreover, a correlation analysis of the two data sources based on 60 meteorological stations was performed with the SPI values at different time scales. The correlation coefficients at the short time scales(1, 3, and 6 months) are all greater than 0.7, and the correlation coefficient at the long time scale(12 months) is greater than 0.5. In summary, the results demonstrate that the TRMM 3 B43 precipitation product provides a new data source that can be used for reliable drought monitoring in the MLRYRB.     

南海季风槽影响下热带气旋暴雨增幅的研究

使用NASA的热带测雨卫星TRMM资料、常规气象观测降水资料、NCAR/NCEP-2再分析资料及NCEP全球数据同化系统(GDAS)资料,分析研究南海季风槽伴随热带气旋登陆华南而导致热带气旋暴雨强烈增幅的事实,并根据观测事实提出季风槽伴随热带气旋登陆华南的定义.结果表明:(1)南海季风槽伴随热带气旋登陆导致热带气旋降水强烈增幅的天气现象发生在盛夏季节;(2)环流背景表现为副热带高压带状西伸,稳定控制华中一带;同时,西南季风活跃,南海季风槽位于南海北部之时;(3)热带气旋登陆后的填塞消亡时间因为季风槽的伴随而大大延长,热带气旋云系有再生、加强和扩展现象;(4)伴随登陆的季风槽对热带气旋暴雨无论是空间,时间,还是强度上均有强烈增幅作用,热带气旋暴雨在季风槽南侧延伸,尺度可达1500～2500km.