台风“卡努”的数值模拟与非对称结构的分析

热带气旋登陆过程中受到浅海区大陆架和海岸地形的影响,其结构将发生突变.本文用MM5模式模拟了0515号台风"卡努"登陆浙江的过程,表明MM5模式能很好地模拟出台风路径及其主要雨带.在结构上,登陆后主要完成了从基本对称的垂直分布到东西非对称分布的转换.在热力场方面,登陆后的相当位温、相对湿度、水汽通量散度都比登陆前更加有利于暴雨的发生,登陆后的东西两侧也演变为不对称的分布,东侧的水汽比西侧更充沛,同时东侧的大气层结更加不稳定.     

GRAPES_GFS 2.0模式系统误差评估

通过选取2014年1月、4月、7月、10月的GRAPES_GFS 2.0预报产品和NCEP FNL分析资料进行对比分析,发现GRAPES_GFS 2.0的系统误差具有以下特性:位势高度场误差的空间分布具有纬向条带状或波列状特征,误差大值集中在中高纬度地区,低纬度地区误差较小。误差在南北半球各自的冬季最大、夏季最小,并呈现明显的季节变化特征。误差随预报时效的增速略低于线性增速且不同预报时效下误差随高度变化的曲线趋势相似。温度场误差的空间分布相对均匀,误差大值位于30°S~30°N附近地区。纬向风场误差没有十分明显的分布规律,与纬度变化、海陆分布和地形的关系均不密切,西风误差和东风误差交替出现。结果表明:模式对冬季中高纬度地区和边界层及对流层顶的模拟技巧尚需提高。明确GRAPES_GFS 2.0的系统误差分布特性,有助于有针对性地进行模式订正,改善误差大值区域的模式预报方法。     

“99.9.4”突发性局地特大暴雨中尺度分析

通过对卫星云图、常规气象要素和Ｔ１０６物理诊断产品较为细致的分析,归纳出１９９９年９月４日凌晨发生在温州的突发性局地特大暴雨成因及中尺度系统特征,所得结果可对今后预报提供一些启示和参考。     

序

四川盆地东部伏旱区,包括重庆市和四川省达州市及广安、南充地区部份市县.在1957年前称为川东伏旱区.虽然国家已将行政体制改变,但夏季仍属同一气候区,为利于气候上的研究和文字上的叙述,本文集统称四川盆地东部伏旱区,简称盆东伏旱区.     

盆东气候变化与太阳活动影响的关系

一是周期分析,采用NI(非整数波)功率谱和方差等周期分析方法,对近百年来重庆市沙坪坝站各季、全年的降水、气温等气象要素和太阳黑子年相对数的十年滑动平均值进行周期分析;同时对各要素的历史变化趋势项、主要周期项等气候变化层次结构进行分解和相关计算,进一步了解盆东降水、气温变化的规律、特点、内在联系以及它们与太阳活动之间的关系.二是气候分型,以伏旱气候年代为基础对全年的气候进行总结和分类.三是气候展望 ,根据太阳活动变化趋势及对伏旱气候年代的预测就展望盆东未来气候的变化,结合各季、全年降水、气温的预测,对气候展望进行补充订正.     

江苏省植物气候生产力时空演变特征

根据江苏省59站1960-2006年年平均气温、降水量资料,采用Thornthwaite Memo-riai模型计算了江苏植物气候生产力(TSPV),用EOF等统计方法分析了TSPV时空分布变化特征.结果表明:江苏省总体气候生产力水平呈南高北低的状态,随纬度增高而降低;北部气候生产力近年来不断增长,南部则较为平稳;EOF分析结果表明江苏的气候生产力主要有全省一致、苏南和苏北相反、江淮为中心等分布型.     

The twentieth century contiguous US temperature changes indicated by daily data and higher statistical moments

The daily surface air temperature data are used to assess the climate changes of the contiguous United States during the period of 1901 to 2000. The assessment is made through the first four statistical moments of the daily maximum, minimum, and mean temperature anomalies, the linear trends of the moments, and the changes of the anomalies?? probability density functions. The results on the first moment, i.e., the mean, are compared with the existing ones in terms of intra-annual means and their linear trends. Our first moment results agree with known ones and demonstrate a decrease from the 1930s to the 1960s and an increase from the 1970s to 2000. The temperature fluctuation is the smallest in the 1960s among the decades from 1931 to 2000. The trends of the higher (second-, third- and fourth-order) moments of the mean, maximum, and minimum surface air temperatures are calculated for the periods 1901?C2000, 1910?C1945, 1946?C1975, and 1976?C2000. The results show a decreasing trend of the second- and third-order moments of all the temperatures. The fourth-order moments of the mean and maximum surface air temperatures have increasing trends, but that of the minimum surface air temperature has a decreasing trend. The seasonal histograms of the mean, maximum, and minimum surface air temperatures are calculated for the three periods 1910?C1945, 1946?C1975, and 1976?C2000 for the stations which have the largest trend of maximum daily surface air temperature. An obvious change has been identified in the probability density functions. Among the changes of statistical parameters, the ones for the minimum temperature are larger than those for the maximum and mean temperatures.     

Comparison of three methods for estimating the sea level rise effect on storm surge flooding

Two linear methods, including the simple linear addition and linear addition by expansion, and numerical simulations were employed to estimate storm surges and associated flooding caused by Hurricane Andrew for scenarios of sea level rise (SLR) from 0.15 m to 1.05 m with an interval of 0.15 m. The interaction between storm surge and SLR is almost linear at the open Atlantic Ocean outside Biscayne Bay, with slight reduction in peak storm surge heights as sea level rises. The nonlinear interaction between storm surges and SLR is weak in Biscayne Bay, leading to small differences in peak storm surge heights estimated by three methods. Therefore, it is appropriate to estimate elevated storm surges caused by SLR in these areas by adding the SLR magnitude to storm surge heights. However, the magnitude and extent of inundation at the mainland area by Biscayne Bay estimated by numerical simulations are, respectively, 22–24 % and 16–30 % larger on average than those generated by the linear addition by expansion and the simple linear addition methods, indicating a strong nonlinear interaction between storm surge and SLR. The population and property affected by the storm surge inundation estimated by numerical simulations differ up to 50–140 % from that estimated by two linear addition methods. Therefore, it is inappropriate to estimate the exacerbated magnitude and extent of storm surge flooding and affected population and property caused by SLR by using the linear addition methods. The strong nonlinear interaction between surge flooding and SLR at a specific location occurs at the initial stage of SLR when the water depth under an elevated sea level is less than 0.7 m, while the interaction becomes linear as the depth exceeds 0.7 m.     

A constrained LAMBDA method for GPS attitude determination

An improved method to obtain fixed integer ambiguity in GPS attitude determination is presented. Known conditions are utilized as constraints to acquire attitude information when the float solution and its variance–covariance matrix are not accurate enough. The searching ellipsoidal region is first expanded to compensate for errors caused by the inaccurate float solution. Then the constraints are used to shrink the region to a proper size, which maintains the true integer ambiguity. Experimental results demonstrate that this scheme gives a fast search time and a higher success rate in determining the fixed integer ambiguity than the unconstrained method. The accuracy of attitude angles is also improved.

Ionospheric and receiver DCB-constrained multi-GNSS single-frequency PPP integrated with MEMS inertial measurements

Single-frequency precise point positioning (SF-PPP) is a potential precise positioning technique due to the advantages of the high accuracy in positioning after convergence and the low cost in operation. However, there are still challenges limiting its applications at present, such as the long convergence time, the low reliability, and the poor satellite availability and continuity in kinematic applications. In recent years, the achievements in the dual-frequency PPP have confirmed that its performance can be significantly enhanced by employing the slant ionospheric delay and receiver differential code bias (DCB) constraint model, and the multi-constellation Global Navigation Satellite Systems (GNSS) data. Accordingly, we introduce the slant ionospheric delay and receiver DCB constraint model, and the multi-GNSS data in SF-PPP modular together. In order to further overcome the drawbacks of SF-PPP in terms of reliability, continuity, and accuracy in the signal easily blocking environments, the inertial measurements are also adopted in this paper. Finally, we form a new approach to tightly integrate the multi-GNSS single-frequency observations and inertial measurements together to ameliorate the performance of the ionospheric delay and receiver DCB-constrained SF-PPP. In such model, the inter-system bias between each two GNSS systems, the inter-frequency bias between each two GLONASS frequencies, the hardware errors of the inertial sensors, the slant ionospheric delays of each user-satellite pair, and the receiver DCB are estimated together with other parameters in a unique Kalman filter. To demonstrate its performance, the multi-GNSS and low-cost inertial data from a land-borne experiment are analyzed. The results indicate that visible positioning improvements in terms of accuracy, continuity, and reliability can be achieved in both open-sky and complex conditions while using the proposed model in this study compared to the conventional GPS SF-PPP.