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991.
Leveraging the commercial CFD software FLUENT, the fine-scale three-dimensional wind structure over the Paiya Mountains on the Dapeng Peninsula near Shenzhen, a city on the seashore of South China Sea, during the landfall of Typhoon Molave has been simulated and analyzed. Through the study, a conceptual wind structure model for mountainous areas under strong wind condition is established and the following conclusions are obtained as follows: (1) FLUENT can reasonably simulate a three-dimensional wind structure over mountainous areas under strong wind conditions; (2) the kinetic effect of a mountain can intensify wind speed in the windward side of the mountain and the area over the mountain peak; and (3) in the leeward side of the mountain, wind speed is relatively lower with relatively stronger wind shear and turbulence.  相似文献   
992.
Based on an analysis of the relationship between the tropical cyclone genesis frequency and large-scale circulation anomaly in NCEP reanalysis, large-scale atmosphere circulation information forecast by the JAMSTEC SINTEX-F coupled model is used to build a statistical model to predict the cyclogenesis frequency over the South China Sea and the western North Pacific. The SINTEX-F coupled model has relatively good prediction skill for some circulation features associated with the cyclogenesis frequency including sea level pressure, wind vertical shear, Intertropical Convergence Zone and cross-equatorial air flows. Predictors derived from these large-scale circulations have good relationships with the cyclogenesis frequency over the South China Sea and the western North Pacific. A multivariate linear regression (MLR) model is further designed using these predictors. This model shows good prediction skill with the anomaly correlation coefficient reaching, based on the cross validation, 0.71 between the observed and predicted cyclogenesis frequency. However, it also shows relatively large prediction errors in extreme tropical cyclone years (1994 and 1998, for example).  相似文献   
993.
太阳能光伏发电已成为仅次于水电和风能的第三大可再生能源,光伏发电受云量时空变化的影响较大,因此准确模拟云天太阳辐射的时空变化对电网安全运行至关重要。围绕如何减小中尺度气象模式的云初始场误差,进而改进云天的太阳辐射模拟这一关键科学问题,本文通过研究基于卫星资料同化的LAPS(Local Analysis Prediction System)多时间层三维云分析同化方法,改进三维云结构,并将LAPS模式输出结果作为WRF(Weather Research and Forecasting)模式的初始场,模拟了2008年1月及夏季(6~8月)北京地区的总云量和总辐射的时空分布,重点分析了多云和有降水天气过程总辐射的模拟改进效果及其原因。结果表明,同化前后的总云量模拟值与观测值的时间变化趋势基本一致,但大部分时次总云量的模拟值低于观测值;大部分多云及降水时段同化后总云量模拟值较接近于实测值。1月晴天、多云天以及夏季晴天同化前后总辐射模拟值与实测值的时间变化趋势较一致,但同化前后两者的相关性差异不明显;晴天条件下同化前后总辐射模拟值均低于实测值,1月多云条件下多数时段同化后总辐射模拟误差减小不明显,与总云量的改进效果不显著有关。夏季多云、有降水及6月典型降水三种天气条件下同化前后总辐射模拟值与观测值的相关性稍差,同化后两者的相关性较同化前有所改进,尤其是6月典型降水过程改进效果较明显;同化前总辐射模拟误差较大,而同化后误差显著减小,尤其是6月典型降水过程同化后均方根误差和平均相对误差较同化前分别减小了102.6 W m-2和355.9%,最大相对误差减小更显著;同化后总辐射模拟误差小于同化前的比例高达75%,即大部分时刻同化后模拟误差小于同化前。多云和有降水天气过程总辐射模拟效果的显著改进与总云量的改进密切相关,即同化后总云量模拟值增加,云的反射和散射作用增强,导致模拟总辐射减小,即更接近于实测总辐射值。研究结果对于多云和降水天气条件下太阳辐射的模拟效果改进、太阳能资源客观评估以及光伏电站的发电量预测具有一定的科学和实际应用价值。  相似文献   
994.
巢清尘  巢纪平 《大气科学》2014,38(6):1029-1040
本文利用中国气象局上海台风研究所整编的《热带气旋年鉴》(1951~2010年)最佳路径资料,分析影响我国和关键经济区热带气旋(TC)降水量、降水强度以及不同等级降水TC频数的气候变化趋势,研究结果表明,影响全国的TC总降水量的年际变化幅度大,年际差异显著。长江三角洲、珠江三角洲地区影响TC过程雨量年极值自1970年代开始缓慢上升,表明近年来TC引起的极端性降水存在增加的可能。全国范围内自1970年代开始,过程雨量大于250 mm的TC频数也在增加,但长江三角洲、珠江三角洲地区发生极端性降水的TC频数并没有明显的增长。TC造成的24小时降水极值的气候变化趋势不明显,但是1980年代全国范围内的24小时降水极值存在跃变。长江三角洲、珠江三角洲地区日降水极值超过250 mm的TC频数自1980年代开始有缓慢增加趋势。全国范围、长江三角洲及珠江三角洲内TC小时降雨量年极值呈现振荡的周期变化,而在年代际上没有明显的变化趋势。  相似文献   
995.
我国北方地区冬小麦干旱灾害风险评估   总被引:7,自引:0,他引:7  
选取我国粮食重要生产区——北方冬麦区作为研究区,基于干旱灾害对作物产量的影响开展冬小麦干旱灾害风险评估和区划。在确定干旱灾害危险性指标过程中,通过对比分析MCI、CWDIa、CI、Pa及Ma干旱指数的适应性,确定了干旱灾害风险危险性指数;在分析北方冬麦区干旱背景和脆弱性时,考虑了冬麦区的地形、土壤类型、土壤有效持水量、河网水系、灌溉条件、降水量及干燥度等环境因素,以及冬小麦的耕地面积、播种面积、主要生育期的水分敏感系数、历史产量等。与以往致灾因子危险性分析方法不同,本文首先建立了干旱指标与冬小麦减产率之间的关系,通过减产率等级来确定干旱致灾临界阈值,在此基础上计算分析了冬小麦全生育期和6个关键生育期不同等级干旱发生的频率。综合考虑干旱发生的危险性、不同地区干旱背景和脆弱性,建立了我国北方冬麦区全生育期和6个关键生育期的干旱灾害风险评估模型和区划方法,实现了我国北方冬麦区干旱灾害的风险评估和区划。结果表明,MCI更能反映北方冬麦区干旱的特征,故以MCI指数作为干旱灾害风险危险性指数;我国北方冬麦区中北部的干旱灾害风险较高,应该加强防旱抗旱能力建设,南部地区包括苏皖和河南东南部的干旱灾害风险较小。本文建立的北方冬麦区不同生育期干旱灾害风险评估模型可应用于干旱灾害风险动态评估实时业务中。  相似文献   
996.
马琴  刘新  李伟平  丁宝弘 《大气科学》2014,38(2):337-351
本文针对青藏高原部分地区土壤有机质和砾石含量较高的特点,在前人工作的基础上,发展了一个新的参数化方案以描述土壤有机质和砾石对土壤导热率、导水率的影响。通过对通用陆面模式CoLM中的土壤水、热参数化方案以及地表蒸发阻抗三方面的逐步改进,对青藏高原藏东南站和纳木错站两种不同下垫面进行单点数值模拟分析。对比原方案与最终优化方案的模拟结果表明:采用新方案的CoLM模式对藏东南站土壤湿度模拟性能明显提高,平均偏差减小到0.04,而对纳木错站浅层20 cm以上土壤湿度的模拟偏差略微增大。新方案在藏东南站对土壤内部温度的模拟改善较为显著,平均偏差减小了0.2℃;而在纳木错站40 cm以上有所改进。新参数化方案较好地模拟了两个观测站表面能量通量的时间变化,纳木错站7、8月份的潜热通量改进尤为明显,比原方案减少大约20 W m-2,与观测结果较为接近。  相似文献   
997.
By comparing correlation of sea surface temperature (SST) and vertical circulation with canonical El Niño and El Niño Modoki, we find that El Niño Modoki has an effect on the Indian Ocean different from traditional El Niño. There exists obvious Indian Ocean basin mode (IOBM) after canonical El Niño, while insignificant SST anomalies exist in the Indian Ocean after El Niño Modoki. Anomalous downdraft and updraft appear over the eastern and western Indian Ocean, respectively, during canonical El Niño, while anomalous updraft is weak over the Indian Ocean during El Niño Modoki. Besides, the strength of El Niño Modoki is slightly weaker than that of canonical El Niño. According to previous studies, two mechanisms can explain IOBM after canonical El Niño: tropospheric temperature (TT) mechanism and ocean dynamics. However, both of them do not exist during El Niño Modoki. Comparing with the complicated oceanic processes, it is convenient to verify the observed TT anomalies and test the possible mechanism using the simple model. Therefore, we pay more attention on the question why TT mechanism does not work during El Niño Modoki. Using a linear barocinic model (LBM), we demonstrate that the strength of SST anomalies and cold SST anomalies in the eastern Pacific have an influence on TT anomalies. Especially, cold SST anomalies in the eastern Pacific cancel the effects of warm SST anomalies in the central Pacific on TT anomalies. It suggests that the SST anomalies in the eastern Pacific are important for the TT mechanism in two types of El Niño.  相似文献   
998.
The spectral characteristics of precipitation intensity during warm and cold years are compared in six regions of China based on precipitation data at 404 meteorological stations during 1961-2006.In all of the studied regions except North China,with the increasing temperature,a decreasing trend is observed in light precipitation and the number of light precipitation days,while an increasing trend appears in heavy precipitation and the heavy precipitation days.Although changes in precipitation days in North China are similar to the changes in the other five regions,heavy precipitation decreases with the increasing temperature in this region.These results indicate that in most parts of China,the amount of precipitation and number of precipitation days have shifted towards heavy precipitation under the background of a warming climate;however,the responses of precipitation distributions to global warming differ from place to place.The number of light precipitation days decreases in the warm and humid regions of China(Jianghuai region,South China,and Southwest China),while the increasing amplitude of heavy precipitation and the number of heavy precipitation days are greater in the warm and humid regions of China than that in the northern regions(North China,Northwest China,and Northeast China).In addition,changes are much more obvious in winter than in summer,indicating that the changes in the precipitation frequency are more affected by the increasing temperature during winter than summer.The shape and scale parameters of the Γ distribution of daily precipitation at most stations of China have increased under the background of global warming.The scale parameter changes are smaller than the shape parameter changes in all regions except Northwest China.This suggests that daily precipitation shifts toward heavy precipitation in China under the warming climate.The number of extreme precipitation events increases slightly,indicating that changes in the Γ distribution fitting parameters reflect changes in the regional precipitation distribution structure.  相似文献   
999.
In previous statistical forecast models, prediction of summer precipitation along the Yangtze River valley and in North China relies heavily on its close relationships with the western Pacific subtropical high (WPSH), the blocking high in higher latitudes, and the East Asian summer monsoon (EASM). These relationships were stable before the 1990s but have changed remarkably in the recent two decades. Before the 1990s, precipitation along the Yangtze River had a significant positive correlation with the intensity of the WPSH, but the correlation weakened rapidly after 1990, and the correlation between summer rainfall in North China and the WPSH also changed from weak negative to significantly positive. The changed relationships present a big challenge to the application of traditional statistical seasonal prediction models. Our study indicates that the change could be attributed to expansion of the WPSH after around 1990. Owing to global warming, increased sea surface temperatures in the western Pacific rendered the WPSH stronger and further westward. Under this condition, more moisture was transported from southern to northern China, leading to divergence and reduced (increased) rainfall over the Yangtze River (North China). On the other hand, when the WPSH was weaker, it stayed close to its climatological position (rather than more eastward), and the circulations showed an asymmetrical feature between the stronger and weaker WPSH cases owing to the decadal enhancement of the WPSH. Composite analysis reveals that the maximum difference in the moisture transport before and after 1990 appeared over the western Pacific. This asymmetric influence is possibly the reason why the previous relationships between monsoon circulations and summer rainfall have now changed.  相似文献   
1000.
In this paper, the methods to detect dust based on passive and active measurements from satellites have been summarized. These include the visible and infrared (VIR) method, thermal infrared (TIR) method, microwave polarized index (MPI) method, active lidar-based method, and combined lidar and infrared measurement (CLIM) method. The VIR method can identify dust during daytime. Using measurements at wavelengths of 8.5, 11.0, and 12.0 μm, the TIR method can distinguish dust from other types of aerosols and cloud, and identify the occurrence of dust over bright surfaces and during night. Since neither the VIR nor the TIR method can penetrate ice clouds, they cannot detect dust beneath ice clouds. The MPI method, however, can identify about 85% of the dust beneath ice clouds. Meanwhile, the active lidar-based method, which uses the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data and five-dimensional probability distribution functions, can provide very high-resolution vertical profiles of dust aerosols. Nonetheless, as the signals from dense dust and thin clouds are similar in the CALIOP measurements, the lidar-based method may fail to distinguish between them, especially over dust source regions. To address this issue, the CLIM method was developed, which takes the advantages of both TIR measurements (to discriminate between ice cloud and dense dust layers) and lidar measurements (to detect thin dust and water cloud layers). The results obtained by using the new CLIM method show that the ratio of dust misclassification has been significantly reduced. Finally, a concept module for an integrated multi-satellites dust detection system was proposed to overcome some of the weaknesses inherent in the single-sensor dust detection.  相似文献   
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