GPS气象学研究及应用的进展与前景

概述了GPS气象学的形成、发展过程及其主要研究内容,对GPS气象学基本原理作了简单介绍。比较全面、系统地分析了国内外GPS技术在气象学研究及应用方面的现状及最新进展,展望了GPS气象学潜在的应用领域以及广阔的应用前景。     

Transport of water vapor over North China during the drought period in summer of 1980

The features of water vapor transport, such as temporal evolution, vertical structure and spatial pattern, over North China during the prolonged drought in the summer of 1980 have been analyzed through computation of water vapor flux based on the once daily ECMWF grid-point data at 12GMT. The results indicate that it is unlikely that the characteristics of the atmospheric mass divergence, ascending motion and stratification stability in North China were completely opposite to those in the Yangtze River Valley, where the heavy flood occurred in the summer of 1980. It is major differences that the strong ascending motion and significant water vapor convergence overlap fairly well each other in the vertical levels in the Yangtze River Valley, while the maximum ascending motion is accompa-nied by water vapor divergence or weak water vapor convergence in North China. This vertical structure in North China results in insufficient water vapor supply and, therefore, little condensation and precipitation in the middle and upper atmosphere were produced. Additionally, a mode of monthly-scale low frequency oscillation can be found in water vapor flux, which is in correspondence to the fluctuation period of rainfall.     

环渤海地区1961—2007年极端强降水时空变化特征

20世纪90年代以来,环渤海地区降水总量持续偏少,极端强降水和干旱缺水问题十分突出。利用环渤海地区60个台站1961—2007年逐日降水资料,应用百分位方法确定极端强降水阈值,分析了极端强降水量、降水强度和频率的空间分布及时间变化趋势。结果表明:环渤海地区极端降水强度大、频率高的地区与年降水量高值区相一致,说明极端降水量的多少影响年降水量;极端降水日数呈减少趋势,特别是京津冀中部地区减少显著;极端降水多发生在7月中旬到8月中旬,最高频次在7月下旬,近10年极端降水季节分配比较分散,很少出现每候25站次以上的极端强降水;间隔30d以上的极端强降水近年来增加明显。     

台风海棠远距离暴雨中尺度系统特征

利用常规探空、加密地面资料、卫星云图和新一代天气雷达产品资料,对2005年7月22日台风海棠倒槽形成的大暴雨天气进行诊断分析。结果表明:(1)台风北伸倒槽与西风带弱冷空气结合造成了这次大暴雨过程,是典型的中低纬系统相互作用过程。(2)倒槽东侧东南低空急流从低纬海上为大暴雨区输送了丰富的热量和水汽,同时,在它的左前方成为强中尺度对流系统发生的源地。(3)高层反气旋的增强,加强了高空的抽气效应,使辐合上升加强,暴雨增幅。(4)卫星云图上,团状的、密实的强中β尺度对流系统的形成和维持是造成短时强暴雨的直接原因。(5)多普勒雷达反射率因子场上,多条中尺度回波带的汇合使回波增强,暴雨增幅。(6)暴雨发生期间,多普勒雷达径向速度场表现明显的水平风场的非均匀性,表现为中低层大范围强辐合风场;风向的垂直方向不连续性,主要表现在风的垂直切变大,风的垂直切变可以为对流云的发展提供动能,有利于大雷暴云的发展和暴雨的形成;逆风区多次出现在风速较大的入流区中并做气旋性旋转北上与正速度区合并,逆风区附近及所经途中出现强回波,暴雨增幅。     

倾斜涡度的发展与云南冬季强降水

应用倾斜涡度发展理论,对云南的一次冬季强降水天气进行诊断分析。结果表明：强降水发生在θｅ 陡立密集区内;倾斜涡度发展和条件性对称不稳定是形成强降水的重要因子;大气的弱位势稳定和强斜压性有利于云南冬季强降水的发生。     

Performance of a multi-RCM ensemble for South Eastern South America

The ability of four regional climate models to reproduce the present-day South American climate is examined with emphasis on La Plata Basin. Models were integrated for the period 1991–2000 with initial and lateral boundary conditions from ERA-40 Reanalysis. The ensemble sea level pressure, maximum and minimum temperatures and precipitation are evaluated in terms of seasonal means and extreme indices based on a percentile approach. Dispersion among the individual models and uncertainties when comparing the ensemble mean with different climatologies are also discussed. The ensemble mean is warmer than the observations in South Eastern South America (SESA), especially for minimum winter temperatures with errors increasing in magnitude towards the tails of the distributions. The ensemble mean reproduces the broad spatial pattern of precipitation, but overestimates the convective precipitation in the tropics and the orographic precipitation along the Andes and over the Brazilian Highlands, and underestimates the precipitation near the monsoon core region. The models overestimate the number of wet days and underestimate the daily intensity of rainfall for both seasons suggesting a premature triggering of convection. The skill of models to simulate the intensity of convective precipitation in summer in SESA and the variability associated with heavy precipitation events (the upper quartile daily precipitation) is far from satisfactory. Owing to the sparseness of the observing network, ensemble and observations uncertainties in seasonal means are comparable for some regions and seasons.     

基于极坐标投影的多谱勒雷达数据栅格化技术

通过研究球面距离算法、极坐标投影原理及新一代多谱勒天气雷达产品的数据存储格式,实现精度较高的雷达数据栅格化,为雷达回波追踪、降水算法优化、短时临近预报等相关的应用与研究提供经过仰角订正、球面距离订正后的更准确更通用的产品数据.     

南京市农业资源开发效益的评估

根据南京市农业资源开发的有关资料，参照已有的研究成果，拟定了农业资源开发效益评估的指标体系，确定其仅重分配，分别对农业资源开发后的经济效益，生态效益，社会效益及综合效益进行了评估。所得结果，为南京市农业资源的进一步开发利用提供了依据。     

Arctic Climate Changes Based on Historical Simulations (1900‒2013) with the CAMS-CSM

The Chinese Academy of Meteorological Sciences Climate System Model (CAMS-CSM) is a newly developed global climate model that will participate in the Coupled Model Intercomparison Project phase 6. Based on historical simulations (1900?2013), we evaluate the model performance in simulating the observed characteristics of the Arctic climate system, which includes air temperature, precipitation, the Arctic Oscillation (AO), ocean temperature/salinity, the Atlantic meridional overturning circulation (AMOC), snow cover, and sea ice. The model?data comparisons indicate that the CAMS-CSM reproduces spatial patterns of climatological mean air temperature over the Arctic (60°?90°N) and a rapid warming trend from 1979 to 2013. However, the warming trend is overestimated south of the Arctic Circle, implying a subdued Arctic amplification. The distribution of climatological precipitation in the Arctic is broadly captured in the model, whereas it shows limited skills in depicting the overall increasing trend. The AO can be reproduced by the CAMS-CSM in terms of reasonable patterns and variability. Regarding the ocean simulation, the model underestimates the AMOC and zonally averaged ocean temperatures and salinity above a depth of 500 m, and it fails to reproduce the observed increasing trend in the upper ocean heat content in the Arctic. The large-scale distribution of the snow cover extent (SCE) in the Northern Hemisphere and the overall decreasing trend in the spring SCE are captured by the CAMS-CSM, while the biased magnitudes exist. Due to the underestimation of the AMOC and the poor quantification of air–sea interaction, the CAMS-CSM overestimates regional sea ice and underestimates the observed decreasing trend in Arctic sea–ice area in September. Overall, the CAMS-CSM reproduces a climatological distribution of the Arctic climate system and general trends from 1979 to 2013 compared with the observations, but it shows limited skills in modeling local trends and interannual variability.