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纸质出版日期： 2019-3 ，
录用日期： 2018-3-22
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曹亚楠, 袁野, 郑小艺, 周述学. 2019. 基于MODIS数据的淮北地区云特性研究. 遥感学报, 23(2): 349–358
Cao Y N, Yuan Y, Zheng X Y and Zhou S X. 2019. MODIS data-based cloud properties in Huaibei Region. Journal of Remote Sensing, 23(2): 349–358
利用2006年—2015年MODIS云产品数据(MYD06)，对淮北地区不同云相态、不同相态云粒子有效半径和云顶温度逐月概率分布进行了统计对比分析，同时对四季云水路径逐年变化进行了研究。研究表明：淮北地区夏秋冬季水云出现的概率较高，春夏季冰云出现的概率较高。水云年均发生概率是冰云的近2倍，晴空和冰云相当，混合相态云较少。除7月份，水云有效半径概率逐月分布逐年有所变化，主要分布在5—30 μm。冰云有效半径主要分布在15—35 μm，且10年间4、5和8月份概率分布较为一致。混和相云有效半径主要分布在10—40 μm，逐月发生概率在10—20 μm和25—35 μm出现两个峰值，这与水云和冰云不同，且在春秋冬较为明显。10年间淮北地区上空云水路径年均值低于300 g/m
2
。冬季年均云水路径相对较低且逐年呈现减少的趋势。春秋冬季云顶温度逐月概率分布逐年变化较大。春冬季冷云发生的概率较大，夏秋季暖云出现的概率要高于冷云。
In this study
a monthly probability distribution of different cloud phases
effective radii
and top temperatures in Huaibei region based on MODIS cloud product data (MYD06) from 2006 to 2015 were analyzed contrastively. Moreover
annual variations of cloud water path were discussed. Results showed that a water cloud probability of occurrence during summer
autumn
and winter in Huaibei region is high
whereas an ice cloud probability of occurrence during spring and summer is high. The annual average of water cloud probability is nearly 2 times that of ice cloud
that of clear sky is the same as ice cloud
and that of the mixed cloud is relatively minimal. The monthly probability distribution of water cloud effective radius has varied annually
except in July. Water cloud is mainly distributed between 5 and 30 μm. Ice cloud effective radius is mainly distributed between 15 and 35 μm. The monthly probability distribution of ice cloud particle effective radius has changed monthly in ten years
except in August and May. A mixed cloud effective radius is mainly distributed between 10 and 40 μm
and the monthly probability appears two peaks between 10 and 20 μm and between 25 and 35 μm. It is different from water and ice clouds
and it is obvious during spring
autumn
and winter. During the studied decade
the annual average of cloud water path in Huaibei region is below 300 g/m
2
. During winter
the annual average of cloud water path is relatively decreasing annually. The monthly probability distribution change of the cloud top temperature in summer has been smaller than the other seasons in ten years. The cold cloud occurrence probability during spring and winter is significantly high
and the warm cloud probability of occurrence during summer and autumn is higher than that of the cold cloud.
云特性云相态有效半径云顶温度云水路径淮北地区人工影响天气
cloud propertiescloud phasecloud effective radiuscloud top temperaturecloud water pathHuaibei regionweather modification
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杨大生, 王普才. 2012b. 中国地区夏季6~8月云水含量的垂直分布特征. 大气科学, 36(1): 89–101
Yang D S and Wang P C. 2012b. Characteristics of vertical distributions of cloud water contents over China during summer. Chinese Journal of Atmospheric Sciences, 36(1): 89–101 (
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