cloud cluster 中文意思是什麼

cloud cluster 解釋
雲團
  • cloud : n 1 雲。2 雲狀塵埃、煙(等);(鳥、蟲、飛機等的)大群,大隊。3 (水晶等的)霧斑,(鏡子等上的)...
  • cluster : n 1 叢集;叢;(葡萄等的)串,掛;(花)團;(秧)蔸;組。2 (蜂、人等的)叢,群,群集。3 【物理...
  1. First, based on the historical data of 20 years of henan province, the cloud seeding operation cases in april and october in the central region of henan province were evaluated by cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates, cluster - analysis - based floating control historical regression method with uniform precipitation as meteorological covariate, and floating control historical regression method ( fcm )

    首先,根據河南省近20年的歷史資料,分別用以降水量為協變量的ca - fcm方法、以降水量和整層大氣可降水量為協變量的ca - fcm方法和浮動對比區歷史回歸統計檢驗方法( fcm ) ,對河南省4月和10月增雨作業進行評估。
  2. Then, six evaluation methods ( double ratio analysis evaluation method using regional rainfall tendency control for single cloud seeding operation case, regression analysis evaluation effects on the bases of regional correlation and developing tendency of rainfall, multiple regression analysis evaluation effects on the bases of regional developing tendency of rainfall, cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as meteorological covariates, cluster - analysis - based floating control historical regression method with uniform precipitation used as meteorological covariate, and float ing control historical regression method ) were compared and analyzed with the case of the cloud seeding operation on 5 april 2002 in henan province

    然後,以河南省2002年4月5日飛機增雨作業為個例,對作業區域趨勢對比雙比分析評估方案、區域趨勢相關回歸分析方案、區域趨勢多元回歸分析方案、以降水量為協變量的ca - fcm方法、以降水量和整層大氣可降水量為協變量的ca - fcm方法和fcm方法6種評價方案進行分析比較。
  3. In the end, cluster - analysis - based floating control historical regression method with uniform precipitation and atmospheric precipitable water as metoorological covariates could more validly evaluate efficiency of cloud seeding operations and significant level of ca - fcm method was higher than the other methods, because it adopted cluster analysis which highly improved the correlativity between rainfall distributions in the control area and target area, and used grid interpolation which enhanced exactness of calculating precipitation rainfall, and chose atmospheric precipitable water as the covariant which increased the inferential accuracy of natural rainfall on the cloud seeding operational area

    最後,得到以降水量和整層大氣可降水量為協變量的ca - fcm方法,由於採用聚類分析( ca )方法,提高了對比區和影響區相關性;採用網格插值技術提高了雨量的計算準確度;引入了不受催化影響的物理協變量(整層大氣可降水量) ,提高了作業區自然降水量估計值的準確性;所以評估效果最好,顯著水平高於0 . 05 。
  4. The hydrometeors distribution in mcc illustrat that the precipitable ice is dominant which fills in the cloud cluster in almost entire troposphere with maximum cores at the mid - levels. rain water and cloud liquid water are in the middle and lower troposphere, and cloud ice water only scatters at the 8 - 18km upper levels

    水凝物垂直分佈顯示, mcc中可降水冰含量最大,分佈在幾乎整個對流層,雨水和雲水主要分佈在的對流層中、低層,而雲冰則分佈於高層大氣中。
  5. To test which was correct, astronomers led by douglas clowe of the university of arizona turned their telescopes on the cloud in the bullet cluster

    為了證明哪一種說法正確,在亞利桑那大學的道格拉斯.克洛的帶領下,天文學家們將他們的望遠鏡瞄準了子彈狀星雲團的雲。
  6. I always see you in my view. you are a gust of wind, a piece of cloud, you are a course of wave, a cluster of green

    總是在目光所及之處,看見你。你是每一陣風,每一朵雲,你是每道波瀾,每簇新綠。
  7. The main relative systems of heavy - hard rainfall in northeast plateau are western pacific subtropical high, south asia high, low latitude systems, upper level jet ( ulj ), low level greater wind speed axes, westerly trough and plateau trough, low level vortex, cold frontal, occluded front in qinghai lake, mesoscale low pressure, heat low - pressure in qinghai, shear line and convergence line, mesoscale cloud cluster, etc. the west subsidiary model of south asia high is the main circulation type of heavy - hard rainfall in this area

    3 、西太平洋副高、南亞高壓、低緯系統、高空急流、低空大風速軸;西風槽和高原槽、低渦、冷鋒、青海湖錮囚鋒以及中尺度低壓、青海熱低壓、切變線與輻合線、中尺度雲團等系統是高原東北部地區大到暴雨的主要相關系統。 100hpa上的南亞高壓中心強度加強,位置東西擺動預示高原地區將有降水產生,中心強度減弱,降水過程結束。南亞高壓西部副型是高原東北部地區大到暴雨的主要流型。
  8. The winds generated by the collision created a bullet - shaped cloud of hot gas that gives the cluster its name

    由碰撞產生的星際風形成了一團子彈形狀的熱氣雲,該星系團由此而得名。
  9. In addition, a thought of how to use the mesoscale convergence center, tbb of convective cloud and the radar echo for rainfall rate to predict the mesoscale rain cluster is presented

    提出利用逐時的中尺度輻合中心、衛星紅外雲圖雲頂亮溫及雷達回波降水率做中尺度雨團量級預測思路。
  10. These mean images reveal not only the synoptic cloud systems but also the mesoscale convective cloud cluster. the long - term high water level of mid - yangtze river and the frequent flood peak of the upper yangtze river from the middle of june to the middle of august in 1998 was caused by the high frequent activity of convection

    旬月和季平均雲圖表明,長江上游從6月中旬開始到8月中旬長達兩個多月對流的頻繁發生是「 98洪水」長江上游洪峰多,中游高水位維持時間長的重要原因。
  11. The results show that unbalance force of atmospheric motion and the coupling reaction among convective cloud cluster and moisture frontal zone and low level jet lead to the continuation of strong convergence in low layer and the maintenance of torrential rain

    分析結果發現,大氣運動非平衡強迫、凝結降水的非均勻分佈與強烈垂直風切變的耦合作用、 「濕度鋒」與低空急流的耦合相互作用通過促進低空輻合流的維持,導致了對流雲團和暴雨天氣的持續。
  12. It contains a bullet - shaped cloud of hot gas from a smaller cluster that passed through the hot gas from a larger one

    它包括一個由一個較大的星系熱氣團傳遞給較小星系團形成的彈狀的熱氣團。
  13. 3 it contains a bullet - shaped cloud of hot gas from a smaller cluster that passed through the hot gas from a larger one

    它包括一個由一個較大的星系熱氣團傳遞給較小星系團形成的子彈狀熱氣團。
  14. The results show that the event is directly affected by the formation and evolution of southwest vortex and mcc cloud cluster which locate in the intersection region of the upper - level jet and the low - level jet

    結果表明:高、低空急流耦合區中西南低渦及mcc特徵雲團的形成和維持是造成此次特大暴雨的直接影響系統。
  15. In this paper we studied the textural features extraction, remote sensing images classification and bp neural network techniques and their applications in the meteorological problems such as recognition of the cloud cluster feature, cloud - drift wind retrieval and heavy rain process analysis etc. to the question of the low precise recognition of satellite images by using spectral features, the proposed approach assumes to perform a multiple analysis based on an advisable decision - making model by first developing a mixed pixel model which was based on the textural features of images, and then improving the recognition intelligence

    本文對模式識別領域中的圖像紋理特徵提取、遙感圖像分類、 bp神經網路與紋理特徵組合分類等方法,以及它們在雲團屬性識別、雲跡風反演和暴雨過程分析等氣象問題中的應用作了研究。針對過去利用圖像光譜亮度特徵進行識別分析氣象衛星圖像準確度不高的問題,本文提出了發展混合像元的分解模型,以圖像的紋理特徵為基礎,提高圖像識別的智能水平,以實現在分析決策模型的支持下,快速準確的復合分析的解決方案。
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