heavy satellite 中文意思是什麼
heavy satellite
解釋
重型衛星-
The main characteristics of satellite images for the regional heavy rain are overlapping of the different cloud systems
在疊置區出現較強的由平流引起的非熱成風渦度傾向（一2獷 -
Using satellite cloud pictures and data from the intensive and conventional observation, the reason of the heavy rainfall event on 16 - 17 july 2004 over shah river area is studied
摘要應用常規、加密氣象資料及衛星雲圖，分析了2004年7月16 ~ 17日沙澧河流域特大暴雨成因。 -
Detailed diagnoses is made on a heavy - hard rain in the northeast qinghai - xizang plateau using ncep data of 1 x 1 with 6h intervals, more complete and integrated conventional observational data and the data set of automatic meteorological stations in plateau and new generation doppler radar data and satellite images and etc. the following conclusions can be drawn : 1. the distribution of heavy - hard rain, which is characteristics of valley topography in northeast qinghai - xizang plateau is obviously effected by topography. the distribution of yearly mean precipitation and the frequencies of heavy - hard rain in this area are descending from east to west
本文首先利用ncep時間間隔為6小時的1 1的格點資料、更全面、更為完整的常規探測資料和高原地區布設的自動氣象站資料、新一代多卜勒天氣雷達資料、衛星雲圖資料等對高原東北部地區大到暴雨的天氣、氣候特徵及大尺度環流背景進行分析，形成對高原暴雨的整體認識，並為以後的數值模擬提供大尺度環流背景及依據，分析中發現： 1 、高原東北部地區大到暴雨的分佈明顯受到地形影響，年降水量和大到暴雨次數自東向西呈階梯性遞減趨勢，分別在高原東北部的外流河谷地區和四川北部地區存在大值中心。 -
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。 -
The rocket carrying the winds satellite - - a joint project of the japan aerospace exploration agency ( jaxa ) and mitsubishi heavy industries - - lifted off its pad at 5 : 55 p. m. ( 0855 gmt )
作為日本宇航探測總署和三菱重工聯合項目的一部分，搭載winds衛星的這枚火箭于下午5點55分發射升空。 -
Use radar and satellite data to improve initial humidity field and four dimensional variational data assimilation to improve initial wind field, and simulate it with mm5, which has improved the simulation ability of meiyu heavy rainfall
利用雷達、衛星資料對初始濕度場的改進和四維變分同化對初始風場的改進進行中尺度數值模式（ mm5 ）模擬，提高了梅雨暴雨模擬能力。
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