河南省非降水云中液态水的卫星微波反演试验研究

云中液态水分布对全球气候和局地天气变化有重要影响, 是判别人工影响天气作业潜力区的重要依据。利用TRMM卫星微波成像仪 (TMI) 85.5 GHz通道垂直极化亮温资料与NCEP再分析资料, 结合VDISORT模式采用逐步逼近方法反演了河南地区地表比辐射率; 再利用TRMM/TMI 85.5 GHz通道垂直极化亮温资料、TRMM/VIRS红外辐射资料及NCEP再分析资料, 结合VDISORT模式采用迭代的方法反演了河南地区云中液态水的垂直积分总含量。与红外卫星云图、TRMM卫星2A12产品及NCEP资料对比分析表明:该研究提出的反演陆地上空非降水云中液态水方法是可行的, 且对云中液态水垂直积分总含量水平分布的反演结果较对比产品结果更好。     

我国逐日降水量格点化方法

国家气象信息中心(NMIC)和美国大气海洋局气候预测中心合作开发了"中国逐日格点降水量实时分析系统(V1.0)",并已在NMIC投入业务试运行。该系统基于我国2419个国家级地面气象站日降水量观测(08:00—08:00,北京时)数据,采用"基于气候背景场"的最优插值方法,实时生成空间分辨率为0.5°×0.5°的格点化日降水量资料。通过对汛期典型区域和单站降水过程的对比分析表明:该格点化产品的精度较高,能准确捕捉并再现每一次降水过程。误差分析表明:约91%的数据绝对误差小于1.0 mm/d。该产品在定量分析天气实况、检验天气气候模式精度、检验卫星产品精度等方面有应用前景。     

用TRMM资料研究江淮、华南降水的微波特性

热带测雨卫星TRMM (Tropical Rainfall Measuring Mission) 于1997年11月发射成功, 其首次携带了空载雷达, 有关资料已在网上对公众发布。利用热带测雨卫星上的微波成像仪TMI (TRMM Microw ave Imager) 资料以及其和测雨雷达TRMM/PR (Precipitation Radar) 资料联合反演的地面瞬时降水产品, 采用散射指数 (Is) 法从理论上探讨了我国江淮、华南降水尤其是暴雨的微波特性, 其中I_s表达式通过江淮、华南晴空TMI资料统计回归得到。以联合反演的地面瞬时降水产品为真值, 用面积相当法对14个降水个例求I_s降水阈值, 研究了阈值和降水面积以及85.5 GHz垂直通道最低亮温的关系, 并寻求了I_s和降水的相关特征。研究表明:I_s降水阈值随降水面积的增大或85.5 GHz垂直通道最低亮温的降低有增高的趋势; I_s与强对流性降水瞬时雨强对应很好, I_s≥60 K是一个好的暴雨指标。最后进行了初步的雨强反演试验研究, 由于TMI资料分辨率的提高以及时空配合较好的真值, 反演的地面瞬时降水与真值相关效果大大提高。     

台风“莫兰蒂”近海加强的成因分析

2010年第10号台风“莫兰蒂”属于少见的近海突然加强的微型台风,给福建省中北部沿海地区造成较严重的影响.通过分析1 °×1°NCEP/NCAR全球再分析格点资料、自动站资料、卫星云图、雷达等资料,发现:副热带高压加强、台风中心附近存在次级环流、台湾海峡狭管效应导致台风空间水平尺度减小、广东南部MCC(中尺度对流云团)...     

TMI微波亮温反演热带气旋KUJIRA(T0302)降水结构

利用热带降雨测量卫星的微波成像仪(TMI)和星载测雨雷达(PR)资料,选取2003年第2号热带气旋KUJIRA降水个例,采用高频通道直接组合方案和全通道间接对数组合方案建立了多频道线性回归算式,对4种不同分辨率(0.1、0.2、0.25、0.5)进行了TMI反演降水试验。结果表明,运用全通道间接对数组合法反演降水效果明显优于常用的高频通道反演效果,且更稳定,因此,低频通道微波信息在降水反演中的作用是不可忽视的。运用0.2和0.25分辨率反演降水效果优于0.1和0.5分辨率,其中0.2分辨率更具实际应用价值。     

TMI降水结构的反演算法和最佳分辨率选取个例试验

利用热带降雨测量卫星（TRMM）的微波成像仪（TMI）和星载测雨雷达（PR）资料,选取了2003年出现在西北太平洋亚洲季风区的热带气旋ETAU（T0310）,采用间接对数组合方案建立了多频道线性回归算式,对4种不同分辨率（0．1°、0．2°、0．25°、0．5°）进行了TMI反演降水试验。结果表明,间接对数组合法能够较好地表征降水区的范围和强度分布,且反演结果稳定,是由微波亮温资料反演洋面降水的一种较为理想方法。采用0．2°和0．25°分辨率反演降水效果相对较好,具有实际应用价值,能对降水的宏观特征做出一定的指示。本文结果对于利用卫星微波遥感资料反演降水的研究具有一定参考价值。     

2000-2019年中国云水资源特性的诊断评估

本文基于Cai et al.(2020)建立的云水资源诊断评估方案(CWR-DQ),首先利用2000～2019年NCEP大气再分析资料和卫星资料诊断得到中国地区1°×1°分辨率的三维云场分布产品,进而结合Global Precipitation Climatology Project(GPCP)降水产品,实现了近20年...     

一次天气过程的初始时间敏感性研究

本文以2011年第九号“梅花”台风为研究对象,利用WRF模式模拟输出降水与实况对比,确定控制实验,模式初始场和边界场资料采用NCEP FNL (Final) Operational Global Analysis Data,空间分辨率为1°×1°,时间分辨率为6h.雷达回波每小时实况资料取自中央气象台历史气象资料.日降水资料取自中国逐日格点降水量实时分析系统(1.0版)数据集SURF_ CLI_CHN_PRE_DAY_GRID_0.25,通过改变模式模拟的初始时间,研究WRF模式模拟出的登陆台风强度和降水分布等演变特征对初始时间的敏感性.     

不同海表面温度对南海台风“杜鹃”的影响试验

采用水平分辨率0.25 °×0.25 °的日平均和周平均的卫星微波成像仪(TMI)和卫星微波辐射计(AMSRE)的海温资料(TMI-AMSRE SST)作为下强迫源,利用中尺度数值模式MM5对南海过境台风"杜鹃"进行了模拟.试验结果表明:台风中心附近SST的差异会导致大气风场的差异,从而使模式对SST有比较快速而且明显的响应;不同的SST对台风的强度和路径都有一定的影响,而对台风降水和台风中心附近潜热通量有明显的影响;不同SST对台风的影响主要是通过改变海-气潜热通量来实现的.     

"狮子山"持续性强降水特征分析

利用常规气象观测资料、NCEP1°×1°再分析格点资料以及多普勒雷达资料,对"狮子山"持续性强降水进行分析,找出了其相应的天气环流特征.     

Validation of satellite rainfall products over Greece

Six widely available satellite precipitation products were extensively validated and intercompared on monthly-to-seasonal timescales and various spatial scales, for the period 1998–2006, using a dense station network over Greece. Satellite products were divided into three groups according to their spatial resolution. The first group had high spatial (0.5°) resolution and consists only of Tropical Rainfall Measuring Mission (TRMM) products: the TRMM Microwave Imager (TMI) precipitation product (3A12) and the TRMM multisatellite precipitation analysis products (3B42 and 3B43). The second group comprised products with medium spatial (1°) resolution. These products included the TRMM 3B42 and 3B43 estimates (remapped to 1° resolution) and the Global Precipitation Climatology Project one-degree daily (GPCP-1DD) analysis. The third group consisted of low spatial (2.5°) resolution products and included the 3B43 product (remapped to 2.5° resolution), the GPCP Satellite and Gauge (GPCP-SG) product, and the National Oceanographic and Atmospheric Administration Climate Prediction Center (NOAA-CPC) Merged Analysis (CMAP). Rain gauge data were first gridded and then compared with monthly and seasonal precipitation totals as well as with long-term averages of the six satellite products at different spatial resolutions (2.5°, 1°, and 0.5°). The results demonstrated the excellent performance of the 3B43 product over Greece in all three spatial scales. 3B42 from the first and second group and CMAP from the third exhibited a reasonable skill.     

中国及其周边地区多种水凝物资料的气候态特征比较

对云的水凝物含量进行研究有利于认识云的辐射性质和强迫效应,以及改善模式的预报性能。利用目前几种较为常用的卫星观测资料（ISCCP、MODIS和CloudSat）和再分析资料（CFSR和ERA-Interim）,对中国及其周边地区的多种水凝物变量,包括积分的云水路径、液水路径和冰水路径,以及分层的液态水含量和冰水含量的气候态水平及垂直分布特征进行了比较研究。结果表明,在总的水凝物含量方面,无论是描述整个中国及其周边地区的水平分布特征和主要变化模态,还是不同海陆区域的月变化特点,MODIS、ERA和CFSR三种资料都显示出较高的一致性,而ISCCP的绝对数值和变化幅度与它们均存在一定差异。在液态水含量方面,无论是水平还是垂直分布,ERA-Interim都有最高的数值,作为观测数据的MODIS和ISCCP则显著偏低。对于冰水含量,不同资料间无论是水平和垂直分布形式还是具体数值都存在明显差异。通过分析不同水凝物资料间气候态分布的差异性特征,有利于认识目前常用的几种水凝物资料的“不确定性”程度,从而更好地估计云的辐射效应,以及理解其在气候变化中所扮演的角色。      

Evaluating spatial scales of climate variability in sub-Saharan Africa

Summary Spatial scales of variability in seasonal rainfall over Africa are investigated by means of statistical and numerical techniques. In the statistical analysis spatial structure is studied using gridded 0.5° resolution monthly data in the period 1948–1998. The de-seasonalized time series are subjected to successive principal component (PC) analysis, allowing the number of modes to vary from 10 to 24, producing cells of varying dimension. Then the original rainfall data within each cell are cross-correlated (internal), then averaged and compared with the adjacent cells (external) for each PC solution. By considering the ratio of internal to external correlation, the spatial scales of rainfall variability are evaluated and an optimum solution is found whose cell dimensions are approximately 10⁶ km². The aspect of scale is further studied for southern Africa by consideration of numerical model ensemble simulations over the period 1985–1999 forced with observed sea surface temperatures (SSTs). The hindcast products are compared with observed January to March (JFM) rainfall, based on a station-satellite merged analysis of precipitation (CMAP) data at 2.5° resolution. Validations for different sized areas indicate that cumulative standardized errors are greatest at the scale of a single grid cell (10⁴ km²) and decrease 20–30% by averaging over successively larger areas (10⁶ km²).     

Optimal Gridding Process for GMI Brightness Temperature Using the Backus-Gilbert Method

Satellite microwave instruments have different field of views (FOVs) in different channels. A direct average technique ("direct method") is frequently used to generate gridded datasets in the earth science community. A large FOV will measure radiance from outside the area of a designated grid cell. Thus, the direct method will lead to errors in a measurement over a grid cell because some pixels covering areas outside of the cell are involved in the averaging process. The Backus-Gilbert method (BG method) is proposed and demonstrated to minimize those uncertainties. Three sampling resolutions (6.5 km × 6.0 km, 11.5 km × 6.0 km, 13.0 km × 6.0 km) are analyzed based on the scanning characteristics of the Global Precipitation Measurement (GPM) Microwave Imager (GMI) 18.9-GHz channel. Brightness temperatures (TBs) at 0.5 km × 0.5 km resolution over eastern China are used to obtain synthetic 18.9-GHz TBs at the three sampling resolutions. The direct and BG methods are both applied to create a 25 km × 25 km gridded dataset and their related uncertainties are analyzed. Results indicate the error variances with the direct method are 3.00, 3.68 and 4.99 K2 at the three sampling resolutions, respectively. By contrast, the BG method leads to a much smaller error variance than the direct method, especially over areas with a large TB gradient. Two GMI orbital measurements are applied to verify the BG method for gridding process is reliable. The BG method could be utilized for general purpose of creating a gridded dataset.     

Variations of 500 hPa flow patterns over Iranand surrounding areas and their relationship with the climate of Iran

Summary In order to explore the spatial and temporal variations of 500 hPa flow patterns and their relationship with the climate of Iran, monthly mean geopotential heights for the region 0° E to 70° E and 20° N to 50° N, at 5 degree resolution, were analysed. The study period covered the winter months October to March during the period 1961–90. The monthly height of the 500 hPa level was averaged along each meridian from 25° N to 45° N. The height of the mean monthly pressure pattern was mapped against the study years. The results showed that the characteristics of the 500 hPa flow pattern varied over monthly and annual time scales. Principal Component Analysis, with S-mode and Varimax rotation, was also used to reduce the gridded data to 5 (6 in October) significant factors. The factor scores for each month were then correlated with monthly Z-scores of precipitation and temperature anomalies over Iran. The results showed that troughs and ridges located close to Iran had more influence on the climate of Iran. Two troughs were identified and named the Caspian and Syrian troughs. Received April 12, 2001 Revised July 24, 2001     

ON THE SENSITIVITY OF PRECIPITATION FORECASTS TO THE MOIST PHYSICS AND THE HORIZONTAL RESOLUTION OF NUMERICAL MODEL*

The impacts of the enhanced model's moist physics and horizontal resolution upon the QPFs(quantitative precipitation forecasts) are investigated by applying the HIRLAM(high resolution limited area model) to the summer heavy-rain cases in China.The performance of the control run,for which a 0.5°×0.5°grid spacing and a traditional "grid-box supersaturation removal+Kuo type convective paramerization" are used as the moist physics,is compared with that of the sensitivity runs with an enhanced model's moist physics(Sundqvist scheme) and an increased horizontal resolution(0.25°×0.25°),respectively.The results show:(1) The enhanced moist physics scheme(Sundqvist scheme),by introducing the cloud water content as an additional prognostic variable and taking into account briefly of the microphysics involved in the cloud-rain conversion,does bring improvements in the model's QPFs.Although the deteriorated QPFs also occur occasionally,the improvements are found in the majority of the cases,indicating the great potential for the improvement of QPFs by enhancing the model's moist physics.(2) By increasing the model's horizontal resolution from 0.5°×0.5°,which is already quite high compared with that of the conventional atmospheric soundings,to 0.25°×0.25°without the simultaneous enhancement in model physics and objective analysis,the improvements in QPFs are very limited.With higher resolution,although slight amelioration in locating the rainfall centers and in resolving some finer structures of precipitation pattern are made,the number of the mis-predicted fine structures in rainfall field increases with the enhanced model resolution as well.     

高原切变线的客观识别与时空分布的统计分析

本文利用计算机客观识别技术,稳定地识别出高原切变线并分析了高原切变线的气候特征。通过对比三套常用的高分辨率再分析资料（ERA-Interim、NCEP CFSR和JRA-55）在高原地区中低层大气的适用性,筛选出与高原地区500 hPa风场较为吻合的NCEP CFSR（National Centers for Environmental Prediction Climate ForecastSystem Reanalysis）再分析资料作为基础数据,根据人工判识切变线的基本标准与计算机几何学知识,定义了高原切变线的客观识别标准。对客观识别出的2005~2015年高原切变线与《青藏高原低涡切变线年鉴》中的结果进行对比分析与验证,并在此基础上统计分析了近11年高原切变线的气候特征。高原切变线年均生成49.4条,其中东部型切变线年均38条,是高原切变线的基本型;高原切变线维持时间多为6 h;切变线两侧的水平散度、垂直涡度和总变形三个物理量的大值区均出现在94°~95°E。客观识别高原切变线的方法可以较为高效地识别高原切变线,为高原切变线研究提供了新的途径。     

An Evaluation of Temperature and Precipitation Surface-Based and Reanalysis Datasets for the Canadian Arctic, 1950–2010

The spatial and temporal consistency of seasonal air temperature and precipitation in eight widely used gridded observation-based climate datasets (CANGRD, CRU-TS3.1, CRUTEM4.1, GISTEMP, GPCC, GPCP, HadCRUT3, and UDEL) and eight reanalyses (20CR, CFSR, ERA-40, ERA-Interim, JRA25, MERRA, NARR, and NCEP2) was evaluated over the Canadian Arctic for the 1950–2010 period. The evaluation used the CANGRD dataset, which is based on homogenized temperature and adjusted precipitation from climate stations, as a reference. Dataset agreement and bias were observed to exhibit important spatial, seasonal, and temporal variability over the Canadian Arctic with the largest spread occurring between datasets over mountain and coastal regions and over the Canadian Arctic Archipelago. Reanalysis datasets were typically warmer and wetter than surface observation-based datasets, with CFSR and 20CR exhibiting biases in total annual precipitation on the order of 300?mm. Warm bias in 20CR exceeded 12°C in winter over the western Arctic. Analysis of the temporal consistency of datasets over the 1950–2010 period showed evidence of discontinuities in several datasets as well as a noticeable increase in dataset spread in the period after approximately 2000. Declining station networks, increased automation, and the inclusion of new satellite data streams in reanalyses are potential contributing factors to this phenomenon. Evaluation of trends over the 1950–2010 period showed a relatively consistent picture of warming and increased precipitation over the Canadian Arctic from all datasets, with CANGRD giving moistening trends two times larger than the multi-dataset average related to the adjustment of the station precipitation data. The study results indicate that considerable care is needed when using gridded climate datasets in local or regional scale applications in the Canadian Arctic.     

Trends and uncertainties in surface air temperature over the Tibetan Plateau, 1951–2013

Trends and uncertainties of surface air temperature over the Tibetan Plateau (TP) are evaluated by using observations at 100 meteorological stations during the period 1951–2013. The sampling error variances of gridded monthly data are estimated for every month and every grid box of data. The gridded data and their sampling error variances are used to calculate TP averages, their trends, and associated uncertainties. It is shown that large sampling error variances dominate northern and western TP, while small variances appear over southern and eastern TP. Every month from January to December has a positive linear trend during the study period. February has the largest trend of 0.34 ± 0.18°C (10 yr)^–1, and April the smallest at 0.15 ± 0.11°C (10 yr)^–1. The uncertainties decrease steadily with time, implying that they are not large enough to alter the TP warming trend.