模式預報 的英文怎麼說

中文拼音 [shìbào]
模式預報 英文
model predictions
  • : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
  • : 名詞1 (樣式) type; style 2 (格式) pattern; form 3 (儀式; 典禮) ceremony; ritual 4 (自然科...
  • : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
  • : Ⅰ動詞1 (告知; 報告) report; declare; announce 2 (回答) reply; respond; reciprocate 3 (答謝)...
  • 模式 : model; mode; pattern; type; schema
  • 預報 : [訊] forecast; forecasting; prediction
  1. For long-term climatic forecasting the attention in numerical modelling should be directed towards the ocean.

    對于長期氣候來說,數值化的注意力主要應針對海洋。
  2. Zhoushan is sea area which fertility is tiptop in our country. sea surface wind is important factor of influencing contrail of excursion oil and culturist so investigating sea surface wind of zhoushan and setting up numerical forecast model which fits this sea area can offer tool for study sea wind in this area and let us has a mensurable acquaintance ship of effect degree of physics factors which effect sea surface wind in zhoushan sea area and acquaint oneself with physic process

    而海面風是影響溢油油團漂移軌跡和養殖業的重要因素,因此,對舟山海域的海面風進行研究,建立適合此區域的數值,可為研究該區域海面風作用過程提供數值工具,使我們對近海區域海面風場作用中物理因子的影響程度有更定量的認識,並對物理過程和影響機制有更深刻地了解。
  3. The task selects the up to the minute mesoscale numerical model as our forecasting model and use thrice fixed nesting and terrain datum of down to dale ( highest precision data of 30s ) as our terrain datum in the endothecium

    本文選擇了當今最為先進的中尺度數值mm5v3作為數值,採用三層固定網格嵌套,選用其最新提供的30s高精度資料作為內層重點考察小區的地形資料。
  4. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先,系統分析了影響黃河水位的水沙因素,及僅用水沙因素有效研究水位的可行性,並按變量對應思想採集它們的相應數據;其次,由於相應水位過程數據中含極強的非線性關系,本論文經細致的理論分析,將基本的非線性分析方法、統計建方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合,提出了能有效實現這類數據高精度擬合的分層篩選法,並改進了統計學中多因子(三個以上)方差分析法;再次,將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合,實現了這一典型非線性關系的高精度擬合,各年汛期上下游相應洪水位過程的擬合誤差都較小;最後,明確黃河下游含沙量對水位的主要影響方,即含沙量主要是與其它因素聯合對水位作用;另外分析了要實現變動河床洪水位過程準確的困難所在及改進方向。
  5. ( 4 ) on the efficient method for the dynamical core of the new generation multi - scale forecasting model i ) we present a new multi - level sparse approximate inverse preconditnioner for the complicated 3 - d helmholtz equations in the new generation weather forecasting model. as a result, the new sparse approximate inverse preconditioned gcr and gmres algorithms are given and successfully applied in the dynamical core. numerical tests show that the new algorithms perform very efficiently, and can greatly improve the efficiency of numerical model

    對此,本文提出了一種基於逐層門限技術的近似逆矩陣稀疏選方法,並構造了相應的稀疏近似逆條件子,結合gcr演算法和g州[ r衛s演算法,首次將逐層門限稀疏近似逆條件子應用於新一代多尺度動力內核的實際計算,數值實驗表明這里給出的方法可以大大提高數值的計算效率。
  6. Forecast model for key mechanical parameters of level ice sheet in bohai

    渤海連續冰層關鍵力學參數
  7. For the rcm, it is important to note that the limited number of model runs from 1998 to 2001 is not sufficiently large to adequately describe the distribution of the model climate

    評詁表現及把測轉為可用的本地或區域時,對本地氣候的了解是很重要的ecmwf 2003 。
  8. Observations obtained from overseas sources as well as from local networks are decoded and quality - checked for doubtful or erroneous data. short - range forecast fields i. e. 3 - hour forecast from 20 - km inner model and 6 - hour forecast from 60 - km outer model from the previous model run are used as first - guess or background in assimilating the latest observational data. objective analyses are then carried out and currently a three - dimensional optimal interpolation method is used to prepare the initial fields for the model forecast

    天文臺從海外及本地網路取得觀測資料,經過譯碼后,便會進行質量控制檢查,把可疑和錯誤的數據剔除,然後利用上一次運行所得出的短期場,即20公里內的3小時及60公裡外的6小時,作為初估背景場,再注入最新觀測數據,進行客觀分析,以得出模式預報的初始場。
  9. The weather system and precipitation predict - ed by the model is close to the real case

    用該模式預報的形勢場與實況較一致,的暴雨強度、位置也與實況相近。
  10. The result was used to adjust relative humidity and to enhance the ability of mm5 mesoscale modeling system to produce accurate forecast of precipitation. we define the air condition includes 5 kinds : the clear sky, semitransparent or fractional cloud, high cloud and low cloud and middle cloud. in this process, we present the method development for the generation of cloud based on gms - 5 images. mm5 ( fifth - generation perm. state / near mesoscale model ) output will be extensively used for the off - line computation of dynamic changeable mutispectral thresholds in order to adapt to variable weather using statistical regressive relations produced by optimal regressive analysis

    基於常規地面觀測資料,將天空狀況分為晴空、半透明雲或碎雲、高雲、中雲和低雲5種情況,用最優回歸分析法對mm5的三維要素場和常規地面觀測資料進行統計分析,得出雲判別和雲分類的衛星雲圖多譜閾值的統計關系統計回歸判別方程,對衛星雲圖進行雲判別和雲分類,據此得出mm5中尺度數值初始場各點的雲分佈,並對初始場的相對濕度進行調整,以達到改善中尺度數值模式預報結果的目的。
  11. The circumstance calculated by mm5 forecast system is very near compared with the real one ;. the physical quantity and precipitation calculated by mm5 forecast system should be well used in work ; the area and numeric of the precipitation forecasted by mm5 have some difference compared with the fact, that needs more some more work to make progress

    對這次冷渦暴雨的形勢擬與實際形勢場極其接近,是一個成功的應用範例; ( 5 ) 、 mm5對各種物理量和降水場的擬結果與實況接近,在精細化的定點定量實踐中具有很好的參考價值; ( 6 ) 、 mm5模式預報降水范圍和強度與實況還有一定偏差,需要進一步深入的工作來改進。
  12. Further analysis on the model forecast residuals indicate that the residual time series does not follow a normal distribution but rather exhibits non - gaussianity ; similarly too, the existence of persistent pattern in the error / residual structure is discernibly evident

    殘差進一步分析可知,殘差的時間序列並不服從正態分佈,而是呈現出了逆高斯分佈。同樣,在誤差/殘差結構中存在著非常明顯的固定
  13. Data assimilation is an effective approach to improve the numerical forecasts skill

    資料同化是提高數值模式預報能力的有效方法。
  14. By comparing the values of the traditional rolling force model and the prediction model by cmac with the measured ones, the precision of the prediction model by the fuzzy cmac is much better than that of the traditional rolling force model and is more suitable for online use of a multi - roll cold tandem mill controlled by computer, which also meets manufacturing requirement of the field and receives better control effect of the shape and thickness

    通過對傳統軋制力型計算值、小腦計算值與實測值進行對比分析可知,基於糊小腦型神經網路的多輥冷連軋機軋制力型具有較高的計算精度,更適合於多輥軋機在線計算機過程控制制的應用,滿足現場在線生產的要求,取得良好的板形板厚控制效果。
  15. Commentary on soil water erosion distribution forecasting model study

    土壤水蝕分散型研究述評
  16. Since 1985 the hong kong observatory has been using numerical models to forecast wave conditions over the china seas and the western north pacific in support of such specialized service

    為了提供這些專門服務,天文臺自一九八五年開始應用數值模式預報中國沿海及北太平洋西部的海浪情況。
  17. Accuracy of pw retrieved from gps observation can be improved by using the average vertical temperature calculated from mm5 outputs

    應用mm5模式預報結果計算大氣平均溫度可提高gps可降水量的反演精度。
  18. Numerical weather prediction

    數值模式預報
  19. In practice, the initial state of the atmosphere is analyzed by taking a previous short - range model forecast, ingesting the latest meteorological observations to update the situation, and then starting a new forecast cycle

    在業務運作上,大氣初始狀況的分析是利用最新氣象觀測資料訂正先前的短期模式預報,再進行新一輪的運算。
  20. Using the function, the relations between dynamic error data comparability and data correlation function are deduced, and the evaluating method that assesses the model ' s prediction error using correlation function ' s relative error is built. the effective prediction space concept is established, on the base of these, this paper deduces two representations " evaluating equation, one evaluates the prediction error and the other evaluates the prediction error in limited space

    提出以樣本距離空間范數來描述數據間相似程度並定義了相似度函數,推導出動態誤差數據相似度與數據相關函數之間的關系,建立了以相關函數相對誤差來評定誤差的評定方法,建立了有效空間的概念,推導出了誤差的評定公和在有效空間中的兩種表示形
分享友人