ERA5再分析云量在大氣環境評估中的適用性研究
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河北省氣象局科研開發項目(19kyd01)、河北省地方十三五生態環境氣象保障工程項目(201810979)共同資助


Research on Applicability of ERA5 Reanalysis Cloud Cover in Assessment of Atmospheric Environment
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    以河北省7個國家級氣象站為例,利用1979—2013年ERA5云量和地面實測云量數據,依國標推薦法計算混合層高度,通過公式推導出通風量和大氣自凈能力指數,比較兩套數據的計算結果,對ERA5再分析云量在大氣環境評估中的適用性進行了研究;采用ERA5云量計算2013年3月至2021年2月的大氣自凈能力指數,對其與PM2.5濃度之間的關系進行分析。結果表明:①兩種云量資料計算的月平均混合層高度、通風量和大氣自凈能力指數的相對誤差近似符合正態分布,主要集中在0~5%;各月混合層高度:相對誤差>通風量>大氣自凈能力指數,相關性則相反。秋冬季的相對誤差(相關系數)大都低(高)于春夏季,邢臺、石家莊和保定的誤差明顯小于其他站。②利用兩種云量數據計算的大氣自凈能力指數的多年平均相對誤差最小,通風量的次之,歷年值的相關性和偏差也是中南部站點的更為理想。③2013年3月至2021年2月,各站月平均大氣自凈能力指數和PM2.5濃度呈反向相關,中南部站點的相關性更為顯著。

    Abstract:

    Taking seven national weather stations in Hebei Province as an example, the mixed layer height, ventilation capacity and atmospheric selfcleaning ability index are calculated using ERA5 cloud data and measured cloud data from 1979 to 2013, and a preliminarily assessment of ERA5 reanalysis cloud data is conducted through comparing the results by two sets of data calculated. ERA5 cloud cover is used to calculate the atmospheric self-cleaning capacity index from March 2013 to February 2021, and the relationship between it and PM2.5 concentration is analyzed. The results are as follows: (1) The monthly average relative errors between the mixed layer height, ventilation capacity, and atmospheric self-cleaning ability index calculated by using two sets of cloud data approximately accord with the normal distribution, the highest frequency occurring in 0-5%; the monthly relative error of the mixed layer height > ventilation capacity > atmospheric self-cleaning ability index; and the correlation is opposite. The relative errors (correlation coefficients) of autumn and winter are mostly lower (higher) in spring and summer. The monthly mean relative errors of Xingtai, Shijiazhuang and Baoding are significantly smaller than those of other stations. (2) The annual average relative error of the atmospheric self-cleaning ability index is the smallest, followed by ventilation capacity. The fitting degree and deviation of the annual values in the south-central stations are also more ideal. (3) From March 2013 to February 2021, the monthly average atmospheric self-cleaning ability index and PM2.5 concentration are inversely correlated at all stations. The correlativeness is more obvious in the central and southern stations.

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許啟慧,張金龍,許康,井元元. ERA5再分析云量在大氣環境評估中的適用性研究[J].氣象科技,2023,51(2):183~191

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  • 收稿日期:2022-04-22
  • 定稿日期:2023-02-02
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  • 在線發布日期: 2023-04-27
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