Developing data assimilation system of numeric predict model by using the adjoint code technique is one of new four - dimensional data assimilation methods 用伴隨碼方法構(gòu)造數(shù)值預報模式的伴隨同化系統(tǒng)是目前較新的四維同化方法之一。
Developing data assimilation system of numeric predict model by the use of adjoint coding technique is one of the new four - dimensional data assimilation methods 而用伴隨碼方法構(gòu)造數(shù)值預報模式的四維變分伴隨同化系統(tǒng)則是目前國際主流的方法之一。
To that end , more involved data assimilation methods , e . g . three - dimensional or four - dimensional variational analysis and extended kalman filtering technique , will also be explored 資料同化可能需要采用更深入的運算方法,如三維或四維變分法及增強卡爾曼濾波等技術(shù)。
To that end , more involved data assimilation methods , e . g . three - dimensional or four - dimensional variational analysis and extended kalman filtering technique , will also be explored 資料同化可能需要采用更深入的運算方法,如三維或四維變分法及增強卡爾曼濾波等技術(shù)。
Greater and greater concern and attention in the whole world has focused on using all kinds of non - routinely observed data and data assimilation methods that have developed very quickly in marine atmospheric research , especially in operational forecast 海洋氣象研究中,特別是業(yè)務預報中使用各種非常規(guī)觀測數(shù)據(jù)和各種迅速發(fā)展的大氣數(shù)據(jù)同化方法,已經(jīng)在全世界引起了越來越大的關(guān)注和重視。
The study of the thesis is based on such background to carry out the satellite data assimilation methods connected with mm5 mesoscale meteorology model operational forecast , and to serve for the marine environmental forecast and prediction 本論文的任務正是基于此背景,而開展對衛(wèi)星氣象數(shù)據(jù)同化方法及其應用的研究,尋求同mm5中尺度氣象模式業(yè)務預報相結(jié)合的數(shù)據(jù)同化方法,為海洋環(huán)境預報服務。
The research on marine atmospheric numerical forecast and data assimilation methods are very important parts in the project of " marine environmental forecasting and natural disasters reducing technology " , which belongs to the national key scientific projects of tenth five - year “十?五”國家重點科技攻關(guān)項目“海洋環(huán)境預報與減災技術(shù)”中把海洋氣象數(shù)值預報及資料同化方法的研究列入重點內(nèi)容。
Then , the numerical simulation experiments with satellite assimilation are launched on three typhoons in 2002 using the 2dvar data assimilation system . the comparison analysis with other data assimilation methods , such as nudging , is also going on the simulation results to typhoon track influence 使用該二維變分同化系統(tǒng),對2002年發(fā)生的三個臺風進行了同化衛(wèi)星數(shù)據(jù)的數(shù)值模擬實驗,并對模擬結(jié)果同三維觀測松弛逼近等數(shù)據(jù)同化方法對臺風路徑影響做了比較分析。