地基微波輻射計(jì)資料的質(zhì)量控制及同化應(yīng)用研究

doi:10.12306/2022jms.0056

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地基微波輻射計(jì)資料的質(zhì)量控制及同化應(yīng)用研究
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                        10.12306/2022jms.0056
                    
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中圖分類號:P407.7
基金項(xiàng)目:國家自然科學(xué)基金重大資助項(xiàng)目(42192553)

Research on quality control and assimilation application of ground-based microwave radiometer data

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摘要:

針對地基微波輻射計(jì)反演資料的質(zhì)量問題,利用北京區(qū)域7個站點(diǎn)的RPG-HATPRO型微波輻射計(jì)反演的溫濕數(shù)據(jù),在傳統(tǒng)質(zhì)量控制方法的基礎(chǔ)上,通過增加雙權(quán)重檢查和偏差訂正方法,設(shè)計(jì)了新的質(zhì)量控制方案,而后針對質(zhì)量控制后的溫濕廓線開展了同化應(yīng)用研究,結(jié)果表明:只有個別站點(diǎn)的反演溫度誤差較大,反演溫度誤差大的站點(diǎn)在質(zhì)量控制前最大均方根誤差為8 ℃,但在質(zhì)量控制后均方根誤差下降到4 ℃以內(nèi),誤差下降50％以上,而對于反演溫度誤差小的站點(diǎn),質(zhì)量控制只對高層數(shù)據(jù)有所改善;進(jìn)一步分析表明所有站點(diǎn)的反演相對濕度誤差都比較大,在質(zhì)量控制前反演的相對濕度均方根誤差最大甚至達(dá)到50％,但在質(zhì)量控制后所有站點(diǎn)反演的相對濕度均方根誤差都降到20％以內(nèi),誤差顯著降低,同時經(jīng)過質(zhì)量控制后的反演溫濕數(shù)據(jù)誤差平均偏差降為0左右,誤差滿足高斯分布,符合同化的要求。同化試驗(yàn)表明:與控制試驗(yàn)相比,同化質(zhì)量控制后的地基微波輻射計(jì)反演溫濕廓線資料能有效改善模式對所有量級的6 h累積降水量預(yù)報(bào),無論是降水中心位置預(yù)報(bào)還是降水量級預(yù)報(bào),都使得模式降水預(yù)報(bào)更加趨近實(shí)況,同化試驗(yàn)還表明同化對溫濕場有較大影響,使得模式溫濕場更加合理,能有效提高模式的預(yù)報(bào)準(zhǔn)確率。

Abstract:

In this paper, aiming at the quality problem of the retrieved data of ground-based microwave radiometer, on the basis of traditional quality control methods, a new quality control scheme was designed by adding double weight check and deviation correction methods by using the temperature and humidity data retrieved by RPG-HATPRO microwave radiometer at 7 stations in Beijing area. Then, the assimilation and application of temperature and humidity profile after quality control were studied. Results show that: only individual stations have large inversion temperature error, and the maximum Root Mean Square Error (RMSE) of stations with large inversion temperature error is 8 ℃ before quality control, but after quality control, the RMSE drops to less than 4 ℃, and the error drops by more than 50％. However, for sites with small inversion temperature error, quality control only improves the high-level data. Further analysis shows that the relative humidity inversion error of all stations is relatively large, and the RMSE of relative humidity inversion before quality control is the largest or even reaches 50％, but the RMSE of relative humidity inversion of all stations after quality control is reduced to less than 20％, and the error is significantly reduced. After quality control, the Average Deviation (AD) of inversion temperature and humidity data is reduced to about zero, and the error distribution meets Gaussian distribution, which can meet the requirements before assimilation. This quality control scheme provides technical support for the effective use of temperature and humidity profile data of ground-based microwave radiometer in numerical model. Assimilation test shows that the inversion of temperature and humidity profile data by ground-based microwave radiometer after assimilation quality control can effectively improve the model's 6-hour cumulative precipitation forecast for all orders of magnitude, which makes the model's precipitation forecast closer to the reality. Assimilation test also shows that assimilation has great influence on the temperature and humidity field, which makes the model's temperature and humidity field more reasonable and can effectively improve the model's forecast accuracy.

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曹玉杰,閔錦忠,趙新宇.地基微波輻射計(jì)資料的質(zhì)量控制及同化應(yīng)用研究.氣象科學(xué),2024,44(3):536-547 CAO Yujie, MIN Jinzhong, ZHAO Xinyu. Research on quality control and assimilation application of ground-based microwave radiometer data. Journal of the Meteorological Sciences,2024,44(3):536-547

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收稿日期:2022-04-04
最后修改日期:2022-06-30
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在線發(fā)布日期: 2024-07-16
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