測高平均氣溫 的英文怎麼說

中文拼音 [cègāopíngjūnqìwēn]
測高平均氣溫 英文
barometric mean temperature
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 高 : Ⅰ形容詞1 （從下向上距離大; 離地面遠） tall; high 2 （在一般標準或平均程度之上; 等級在上的） above...
  • 平 : Ⅰ形容詞1 （沒有高低凹凸 不頃斜） flat; level; even; smooth 2 （高度相同; 不相上下） on the same l...
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 氣 : Ⅰ名詞1 （氣體） gas 2 （空氣） air 3 （氣息） breath 4 （自然界冷熱陰晴等現象） weather 5 （氣味...
  • 溫 : Ⅰ形容詞（不冷不熱） warm; lukewarm; hot; gentle; mild Ⅱ名詞1 （溫度） temperature 2 （瘟） acute ...
  • 氣溫 : [氣象學] air temperature; atmospheric temperature
  1. The results show that : l ) there are three anomalous high temperature areas and three anomalous low temperature areas, and the whole area high temperature anomaly took place in the late 1980s, whereas the low temperature anomaly in the 1970 ; 2 ) the spatial mode manifests identical variations in the whole area, and the temporal coefficient curve is of 2 - 3 year period oscillation and an interdecadal abrupt in the late 1970s ; 3 ) the variance of interdecadal component is obviously larger than that of interannual in the most part of nespa ; 4 ) the interdecadal variation of the temperature is mainly linear ascendance in the late 1970s, the large range anomalous high ( low ) temperature occurs when the interdecadal and interannual anomaly are both positive ( negative ) in the year ; 5 ) the temperature anomaly is divided into four patterns : southern, northern, eastern and western patterns, in which the interdecadal variation of the southern and western patterns is relatively importance and the interannual variation of eastern and northern pattern is relatively importance

    本文用夏季（ 6 - 8月）中國東北地區91個測站44年氣溫資料，對該區夏季氣溫的氣候平均和異常場進行分析，採用諧波分析將異常變化的年代際、年際尺度分量分離，分別分析兩種尺度上氣溫異常的時空特徵，最後應用reof進行了氣溫異常的區劃，研究局域異常變化的年代際、年際分量的變化特徵。結果發現： 1 ）東北夏季有三個異常高溫高發區和三個異常低溫高發區。全區性異常高溫（低溫）階段出現在上世紀80年代后（ 70年代） 。
  2. The updated model with complete forcing has excellent ability of simulation and forecast. to study yellow and east china circulation in winter and summer, based on long - term ocean observation data of january and august, the fine structure of yellow and east china seas circulation is diagnostically calculated with complete forcing ( including surface wind stress, boundary transportation, baroclinic effect, tide, changjiang river runoff ) in winter. the influences of factors on main circulation patterns are discussed respectively

    對于冬季和夏季海洋環流的情況，在多年觀測的溫鹽資料基礎上，分別以1月份和8月份代表黃東海冬季和夏季的情況，以月平均大氣風應力、邊界流輸送、溫鹽斜壓效應、潮汐、長江口徑流等作為強迫條件，對黃東海環流的細微結構作了高分辨的三維數值模擬，探討了各因子對冬、夏季主要流系的動力學作用。
  3. During the course of the research, the criterions of the interpolation effect are mean error ( me ), mean absolute error ( mae ), root mean squared interpolation error ( rmse ) and the difference of mean square deviation between the measured and the estimated surface air temperature. the conclusions are as follows : ( 1 ) by contrasting the gaussian weighted model associated with the error modification with the gaussian weighted model, the error modification is proved to considerably ameliorate the precision of spatial interpolation ; ( 2 ) on the base of the gaussian weighted model, taking altitudinal effect into account can reflect the trend in which temperature changes according to the topographic altitude and may ameliorate the precision of spatial interpolation correspondingly and apparently, which indicates that topographical effect on the preciseness of spatial interpolation can not be disregarded in terms of the region with complicated topography ; ( 3 ) the map of daily surface air temperature distribution, using the modified gaussian weighted model a and b, can accurately reflect the temperature - changing - with - topographical - altitude trend. among them, the better is the model a, whose me is below 0. 03 ?

    在此過程中，採用平均誤差（ me ） ，平均絕對誤差（ mae ） ，插值平均誤差平方的平方根（ rootmeansquaredinterpolationerror ，簡稱rmsie ） ，插值前後測站要素值的均方差（ meansquaredeviation ，簡稱msd ）差值作為判定插值效果的標準，得出如下結論：通過高斯權重法與結合逐步訂正的高斯權重法的對比，說明結合逐步訂正方案的高斯權重法可大大提高地面日氣溫的插值精度；在高斯權重法中加入海拔影響項可以反映出溫度隨地形高度的變化趨勢，同時也能較大地提高地面日氣溫的空間插值精度，說明在地形復雜的區域，地形影響在插值精度中是不可忽略的；對于高斯權重法的兩種改進方案得到的地面日氣溫分布圖都能很好地反映出表面大氣氣溫隨地形高度的變化趨勢。
  4. In this paper, the climatic variation features and spatial and temporal distribution of the flood and drought in zhejiang province were analyzed by using 36 monthly and seasonal station data during 1961 - 1999 observed over zhejiang province, 160 rainfall and temperature data during 1951 - 1999 observed over china, northern hemisphere 500mb height data during ! 961 - 1999, the planting and flood disasters area data in zhejiang province during 1949 - 1998. we used many method : calculated trend coefficient of rainfall and temperature, used eof, reof, ssa ( singular spectrum analysis ) and mem ( maximum entropy spectrum ) method and synoptic method. we first studied the climatic variation features of summer and autumn and characters of the flood and drought in zhejiang

    本文用1961 - 1999年浙江省36個氣象觀測站的降水量和氣溫資料、 1951 - 1999年全國160站的降水量和氣溫資料、 1961 - 1999年500hpa月平均高度資料和1949 - 1999年浙江省11個地市的受災面積、成災面積、耕地面積等資料，通過計算趨勢系數、變量場eof分解、旋轉eof分解、奇異譜分析和最大熵譜分析等多種統計學方法和天氣學方法，研究了浙江省氣候變化特點及旱澇災害時空分佈的特徵。
  5. Through having done field surveys in the campus of chongqing university, this paper tested classroom indoor and outdoor climate parameters in june, july and september of 2005, it used questionnaire to acquire subjects ’ thermal sense, draft sense and humidity sense in classroom each month, and programmed composition to compute predicted mean vote and compared pmv with the field testing results of mean thermal sensation vote. it is discovered that pmv is overvalued the college student ’ thermal sensation in chongqing. it finds that people in chongqing adapt to the typical summer hot and winter cold sweltering weather

    對重慶地區高校教室的現場調查，測試了重慶大學2005年六月、七月和九月教室室內外熱環境參數，通過採用問卷主要掌握了受測對象教室里的冷熱感、氣流感和潮濕感，通過編製程序求得預測平均熱感覺評價pmv的值，比較pmv和問卷調查得到的平均熱感覺mtsv ，發現pmv預測值高估了重慶地區高校學生的熱感覺，這里的人群對重慶這種夏熱冬冷地區比較典型的悶熱氣候具有一定的熱適應性，對現場問卷調查的結果進行分析，得出了室內空氣溫度、氣流速度、相對濕度與人體主觀感覺之間的回歸曲線，發現重慶地區高校學生熱中性時的空氣溫度為25 . 5 ， fanger根據歐美人群調查得到的公式計算出的預測熱感覺為中性時的空氣溫度為25 . 0 ，兩者相差0 . 5 。
  6. The approaches establish a relationship between monthly precipitation abnormality and monthly circulation, soil moisture and temperature on the shallow and deep layers. the relationship is the precipitation diagnostic equation and its coefficients and dimensions are determined by using the observed data of huai river basin. then we select the main soil moisture and temperature attributing factors by the dimensional analysis to establish a forecasting equation of summer precipitation over huai river basin with the statistic approach

    通過將大氣中的熱量、水汽收支方程與一個簡化的兩層土壤溫度、濕度方程相結合，並依據月尺度大氣環流的演變特徵，推導出月降水距平與500hp月平均高度距平場、土壤深淺兩層溫、濕度的關系；利用臺站觀測資料，使用統計反演方法確定方程中各項的系數和量級，從而找出影響降水的主要土壤溫、濕因子；利用統計方法建立這些因子與淮河流域夏季降水異常之間的簡單線性預報方程，並對1992 - 2000年淮河流域夏季降水趨勢進行回報。
  7. The daily change law of air ion is : the density of air ion in morning is the highest, it falls at noon or in the afternoon. while it raises again in the dusk. ( 2 ) in summer, the density of air anion in songgu and diaoqiao scene district is more than 30000 / cm3, while in yungu scene district and bailongtan, renzipu of wenquan scene district it is 10000 / cm3. in beihai it reachs 18000 / cm3, the density is not well - distributed in xihai, yupin and tianhai, it presents a kind of jumping change ; ( 3 ) the air anion density in winter is small than 1000 / cm3 only at yiranting, taoyuan square of wenquan and yupinglou

    大氣離子日變化規律是：清晨最高，正午或午後降低，傍晚又比較高； （ 2 ）夏季，松谷景區和釣橋景區的負離子濃度均在30000個cm ~ 3以上，而雲谷景區和溫泉景區的人字瀑和白龍潭測點負離子濃度在10000個cm ~ 3以上；北海景區負離子濃度在18000個cm ~ 3以上，西海、玉屏和天海三景區的負離子濃度分佈不均勻，呈現一種跳躍性變化； （ 3 ）冬季負離子濃度只有溫泉景區的翼然亭、桃園廣場和玉屏樓的負離子濃度小於1000個cm ~ 3 ，其它地方的負離子濃度均大於1000個cm ~ 3 ； （ 4 ）全風景區中以松谷和釣橋景區的負離子含量水平高，而且它們在春季負離子含量也超過8000個cm ~ 3 ，具有治病的功能；溫泉景區的人字瀑和白龍潭測點負離子濃度春季超過16000個cm ~ 3 ； （ 5 ）整個風景區的負離子含量均大於正離子含量，用單極系數q和空氣離子評議系數ci評價，各景區的q 1 ， ci 1 ，高於最佳空氣清潔度的指標。
  8. Refined grids were utilized in a large - eddy simulation model for obtaining high - resolution planetary boundary data and analyzing surface layer turbulence. simulation results showed that refined meshes reduced turbulent contributions of subgrid scales, sensitivity of simulation results to sgs parameters decreased, and features of the whole boundary layer were explicitly resolved better. results also revealed flux - profile relationship correctly in surface layer and a good agreement of turbulent velocity characters with observation. therefore, it concluded that the les method was able for simulation of surface layer flow and turbulence, and might be used for further applications

    採用加密網格的大渦模式獲取邊界層風溫場的高解析度模擬結果，並據以分析近地面層大氣的湍流特性。結果表明，較小的網格尺度使次網格湍流貢獻率大為降低，模式計算結果對次網格參數的依賴性減小，邊界層整體特徵得到更好的反映。同時，模擬出的近地面層通量廓線關系及湍流速度特徵與實際觀測結果吻合甚好，表明模式具有反映近地面層平均運動和湍流特性的能力。
  9. China is one of the countries which are harmed by storm surge both tropical and temperate cyclones, the disaster of storm surge can occure every seasons and from south to north in china ' s coastal area. based on the analysis of the features of temporal and spatial changes of storm surge disaster in the recent 50 years, this paper focuses on the frequency changes of historical records in recent 500 years and measured data in recent 50 years of storm surge disaster and the relationships between storm frequency change and climate fluctuation. meanwhlie, the effects of future increase in the frequency of tropical cyclones landing or affecting china and relative sea level rise with global warming on storm surge disaster of china ' s coastal area also discussed. the results show that, in recent 500 years, there are direct relationships between storm frequency change and climate fluctuation, i. e., high global mean temperature correspond with high storm frequency and low mean temperature correspond with low storm frequency. storm surge disaster in china ' s coastal area will be exacerbated with global warming

    中國是全球少數幾個同時受臺風風暴潮和溫帶風暴潮危害的國家之一，風暴潮災一年四季，從南到北均可發生.本文基於中國沿海近50年風暴潮災時間變化和空間分佈特點的分析，著重探討了近500年全國及長江、黃河、珠江三角洲的歷史記錄和近50年實測風暴潮災發生頻次的變化及其與氣候波動的關系，並對未來全球變化背景下，中國沿海風暴潮災的變化趨向進行了討論.結果表明:近500年來，中國沿海的風暴潮災在氣溫較高的偏暖時段比氣溫較低的偏冷時段明顯增多.近50年實測臺風暴潮災的變化也是如此，而溫帶風暴湖的變化則與此相反.未來全球變化引起的登陸影響中國的熱帶氣旋頻次增加和相對海平面的上升，均將導致風暴潮災呈加重的趨向
  10. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  11. Apart from the original set of surface charts on temperatures, wind direction and wind speed, mean sea level pressure and weather conditions, the contents of the new computer upper - air forecast charts include spatial distributions of key weather elements at four different layers within the troposphere, as well as an explanatory note to facilitate understanding and application by the general public

    內容方面，除原有的地面溫度、地面風向及風速、平均海平面氣壓及天氣情況外，新增的電腦預測圖提供在大氣對流層內四個不同高度的層面的主要氣象資訊，以及一些相關的解釋，方便市民理解及使用。
  12. The information is generated by the observatory s high - speed computer using physical models and mathematical equations to simulate the evolution of weather systems. the computer simulations are presented as maps showing the surface temperature, surface wind speed and wind direction, mean sea level pressure and the state of the sky at various locations

    這些預測資料是利用天文臺高速電腦根據物理定律及數學方法計算出來的，以天氣圖顯示，內容包括地面溫度、地面風向及風速、平均海平面氣壓及天氣的大致情況。
  13. Various computer climate models forecast a continuing rise in the global average temperature, of 1. 4 to 5. 8

    不同的電腦氣候模式均預測全球平均氣溫還會繼續上升，在1990至2100年間將會升高1
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