排序方式： 共有29条查询结果，搜索用时 41 毫秒
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利用2005年1月\_2010年2月自动气象站的地面风观测资料, 分析了四川新津机场地面风的平均日变化、 月变化\, 季变化及年际变化等, 讨论了地面瞬时风与机场跑道的关系, 并对≥5 m·s-1地面瞬时风的预报进行了探索。结果表明： 机场主要受偏北风、 偏西南风和偏东南风影响, 且偏北风和偏东南方向风速较大。全年较大风主要出现在春季。各季节均盛行偏北风, 秋\, 冬季偏北风出现的频率远大于春\, 夏季。下午风速大, 早晨和夜间风速小。全年平均风速小, 年际差异小, 微风和静风频率高。持续时间较长的≥5 m·s-1地面瞬时风的预报重点在于天气系统的预报上。 相似文献
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在收集整理低阻油层资料的基础上,对低阻油层成因进行了分析,并根据研究区的具体情况对王集油田低阻油层成因进行了分析,确定了相控低阻和复杂水系低阻为王集油田低阻油层的主要模式。这为王集油田老井复查和提高油气层的解释符合率奠定了坚实的基础,具有一定的指导意义。 相似文献
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Shipboard X-band radar images acquired on 24 June 2009 are used to study nonlinear internal wave characteristics in the northeastern
South China Sea. The studied images show three nonlinear internal waves in a packet. A method based on the Radon Transform
technique is introduced to calculate internal wave parameters such as the direction of propagation and internal wave velocity
from backscatter images. Assuming that the ocean is a two-layer finite depth system, we can derive the mixed-layer depth by
applying the internal wave velocity to the mixed-layer depth formula. Results show reasonably good agreement with in-situ
thermistor chain and conductivity-temperature-depth data sets. 相似文献
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Evaluation and fusion of SST data from MTSAT and TMI in East China Sea, Yellow Sea and Bohai Sea in 2008 总被引：1，自引：0，他引：1
Two typical satellite sea surface temperature (SST) datasets, from the Multi-functional Transport Satellite (MTSAT) and Tropical Rainfall Measuring Mission Microwave Imager (TMI), were evaluated for the East China Sea, Yellow Sea, and Bohai Sea throughout 2008. Most monthly-mean availabilities of MTSAT are higher than those of TMI, whereas the seasonal variation of the latter is less than that of the former. The analysis on the one-year data shows that the annual mean availability of MTSAT (61%) is greater than that of TMI (56%). This is mainly because MTSAT is a geostationary satellite, which achieves longer observation than the sun-synchronous TMI. The daily availability of TMI (28%-75%) is more constant than that of MTSAT (9%-93%). The signal of infrared sensors on MTSAT is easily disturbed on cloudy days. In contrast, the TMI microwave sensor can obtain information through clouds. Based on in-situ SSTs, the SST accuracy of TMI is superior to that of MTSAT. In 2008, the root mean square (RMS) error of TMI and MTSAT were 0.77 K and 0.84 K, respectively. The annual mean biases were 0.14 K (TMI) and -0.31 K (MTSAT). To attain a high availability of SSTs, we propose a fusion method to merge both SSTs. The annual mean availability of fusion SSTs increases 17% compared to MTSAT. In addition, the availabilities of the fusion SSTs become more constant. The annual mean RMS and bias of fusion SSTs (0.78 K and -0.06 K, respectively) are better than those of MTSAT (0.84 K and -0.31 K). 相似文献
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利用中国南极第24次至第26次(2008年-2010年)考察获取的实测数据和AMSR-E辐射计亮温资料开展南大洋实时海面气温的反演研究, 分析了AMSR-E的各通道亮温与海面气温的相关性, 未发现与海面气温相关性较强的观测通道, 相关性最高的是23.8 GHz 水平通道, 相关系数为0.38。将实测数据与亮温资料进行数据匹配, 得到有效的建模数据集, 然后利用多元回归和神经网络两种方法建立海面气温实时反演模型。基于全通道多元回归建立了高纬、低纬海域AMSR-E亮温的反演模型, 对反演结果利用实测数据进行验证, 高纬海域反演的结果均方根差为0.96 ℃, 相关系数为0.93;低纬海域反演结果均差差为1.29 ℃, 相关性系数0.96。基于Back Propagation(BP)神经网络反演模型的反演结果均方根差为1.26 ℃, 相关系数为0.98。 相似文献
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