Study on the evolution of initial field error in the simulation of river flow 河流流場(chǎng)數(shù)值模擬初始場(chǎng)誤差發(fā)展研究
The initial field formed by 3dvar system is right and reasonable 三維變分?jǐn)?shù)據(jù)同化系統(tǒng)同化衛(wèi)星數(shù)據(jù)后,所形成的初值場(chǎng)是合理和正確的。
This paper presents an application of genetic algorithms ( gas ) to variational data assimilation for the initial fields 本文將遺傳算法應(yīng)用于初始場(chǎng)的變分同化中。
Adjoint method provides an efficient tool to calculate the gradient vector of the cost function to the initial field 利用伴隨方法,可以求出該度量函數(shù)關(guān)于初始場(chǎng)的梯度向量。
The forecasting of meteorological element fields and precipitation is improved by use of the adjusted initial field 使用調(diào)整后的初始場(chǎng)對(duì)降水及其它物理量場(chǎng)的預(yù)報(bào)均有所改善。
The optimal initial field not only meets the dynamical and thermal expectations but also reflects the true atmospheric state 最優(yōu)初始場(chǎng),既要滿足模式動(dòng)力和熱力要求,又能反映大氣的真實(shí)狀態(tài)。
Then adjust these data to needful format . and then combine t106 data , sst data and sur , uao meteorologic data to form initial field 結(jié)合t106資料、 sst資料以及地面、探空常規(guī)觀測(cè)資料,構(gòu)成初始場(chǎng),進(jìn)行模擬。
The result shows that the mm5 adjoint - model assimilation system can effectively assimilate the conventional data and adjust the initial field 對(duì)比研究結(jié)果表明, mm5伴隨模式能有效同化常規(guī)觀測(cè)資料,調(diào)整初始場(chǎng)。
Then adjust these data to needful format . and then combine t106 data , sst data and sur , uao meteorologic data to form initial field 寫(xiě)成模式需要的格式,結(jié)合t106資料、 sst資料以及地面、探空常規(guī)觀測(cè)資料,構(gòu)成初始場(chǎng),進(jìn)行模擬。
Recently the development of numerical models has run to perfection , so whether the initial field stands to exactness counts 近年來(lái),數(shù)值模式的發(fā)展相當(dāng)精細(xì),可以真實(shí)地描寫(xiě)和模擬出實(shí)際天氣過(guò)程的演變發(fā)展,因而初始場(chǎng)是否精確就至關(guān)重要。