基于多源衛(wèi)星資料的中國地區(qū)云宏微觀特征研究

doi:10.12306/2022jms.0004

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基于多源衛(wèi)星資料的中國地區(qū)云宏微觀特征研究
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                        10.12306/2022jms.0004
                    
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中圖分類號(hào):P405;P426.5
基金項(xiàng)目:國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目（2019YFC0214604）；國家自然科學(xué)基金資助項(xiàng)目（42030612；41775096）

Study on cloud macro and micro characteristics in China based on multi-source satellite data

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摘要:

利用2007—2016年國際衛(wèi)星云氣候計(jì)劃（International Satellite Cloud Climatology Project，ISCCP）、云和地球輻射能量系統(tǒng)（Clouds and the Earth's Radiant Energy System，CERES）和中分辨率成像光譜儀（Moderate Resolution Imaging Spectroradiometer，MODIS）衛(wèi)星反演云產(chǎn)品，對(duì)比分析了不同數(shù)據(jù)反演的中國地區(qū)云系結(jié)構(gòu)的宏微觀特征，并采用復(fù)合評(píng)價(jià)指標(biāo)定量評(píng)估了不同數(shù)據(jù)之間時(shí)間和空間上的一致性。結(jié)果表明：三套衛(wèi)星數(shù)據(jù)都能較好地反演出中國地區(qū)總云量呈南高北低、東高西低、夏高冬低的分布特征，但通過比較時(shí)間技巧（Temporal Skill，S_T）及空間技巧（Spatial Skill，S_S）復(fù)合評(píng)價(jià)指標(biāo)及其各項(xiàng)分量發(fā)現(xiàn)，與MODIS相比，CERES與ISCCP數(shù)據(jù)反演的總云量時(shí)間序列演變特征明顯更為一致，且其評(píng)分均有南方優(yōu)于北方，夏季優(yōu)于冬季的特征；進(jìn)一步分析不同高度云量的S_T評(píng)分發(fā)現(xiàn)，CERES和ISCCP兩套數(shù)據(jù)在南方地區(qū)的總云量差異主要來自于低云量的絕對(duì)偏差，而北方地區(qū)的偏差則同時(shí)存在于低云和中云；對(duì)比分析MODIS和CERES反演的云滴有效半徑發(fā)現(xiàn)，高云對(duì)應(yīng)的冰相云一致性較高，而中低云相對(duì)應(yīng)的液相云的偏差則有夏季高于冬季的規(guī)律。針對(duì)夏季液相和冰相云滴粒徑及概率密度分析則表明，相比CERES數(shù)據(jù)，MODIS對(duì)夏季液水和冰水粒子的有效半徑在不同地區(qū)均有不同程度的高估，液（冰）水譜寬則更寬（窄）。

Abstract:

Based on ISCCP(International Satellite Cloud Climatology Project), CERES(Clouds and the Eart's Radiant Energy System), MODIS(Moderate-resolution Imaging Spectroradiometer) satellite inversion cloud products from 2007 to 2016, a comparative analysis of the macro and micro characteristics of the cloud structure in China in the past decade was made. The composite evaluation index is used to quantitatively evaluate the temporal and spatial consistency between these data sets. The results show that the three sets of satellite data can better reflect the distribution characteristics of the total cloud cover in China, which is high in the south(east) and low in the north(west), and high in summer and low in winter. However, by comparing temporal skill (S_T) and spatial skill (S_S) of the composite evaluation index and its components, it was found that the evolution characteristics of the total cloud cover time series retrieved by CERES and ISCCP data are significantly more consistent than MODIS. The spatial and temporal characteristics of the south is better than the north, and the summer is better than the winter. Further analysis of the S_T scores of different heights of cloud cover found that the difference in total cloud cover of CERES and ISCCP data in the southern region is mainly due to the absolute deviation of low cloud cover, while the bias in the northern region exists in both low and medium cloud. The comparative analysis of the effective radius of the cloud drop retrieved by MODIS and CERES found that the ice phase cloud corresponding to the high cloud has a higher consistency, while the deviation of the liquid phase cloud corresponding to the middle and low cloud is much higher in summer than in winter. The analysis of cloud droplet size and probability density of liquid and ice phase in summer shows that compared with CERES data, the effective radius of cloud droplet size of different phases retrieved by MODIS has different degrees of overestimation in different regions, while the liquid (ice) water spectrum width is wider (narrower).

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黃乾,殷馨玉,王子欣,姚素香.基于多源衛(wèi)星資料的中國地區(qū)云宏微觀特征研究.氣象科學(xué),2023,43(2):143-154 HUANG Qian, YIN Xinyu, WANG Zixin, YAO Suxiang. Study on cloud macro and micro characteristics in China based on multi-source satellite data. Journal of the Meteorological Sciences,2023,43(2):143-154

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收稿日期:2021-08-30
最后修改日期:2022-01-30
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在線發(fā)布日期: 2023-05-20
出版日期: 2023-04-15

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