摘要
利用中分辨率成像光谱仪(MODIS)二级云产品、大气红外探空仪(AIRS)二级大气产品和AIRSLIB红外高光谱数据,采用通用大气辐射传输(CART)模式,选择9μm(带宽为1070~1135cm2)、11.03/am(带宽为886~928cm^-1)和12.02μm(带宽为815~850cm^-1)波段对冰云大气顶的亮温进行了模拟与分析。对反演冰云参数和MODIS云产品下的模拟亮温分别与AIRS观测亮温间关系进行了分析与比较,并对反演冰云参数下的模拟亮温和AIRS观测亮温的亮温差的概率分布进行了研究。结果表明:基于反演的冰云光学厚度和云顶高度的三波段模拟亮温和AIRS实际观测亮温分布一致,模拟计算和AIRS实际观测亮温间相关系数达0.98以上。11.03μm和12.02μm波段模拟计算和AIRS实际观测亮温间亮温差主要分布在0~5K,9μm波段亮温差主要分布在0~±0.5K。建立在反演冰云参数基础上的实际大气条件下的大气辐射特性模拟研究具有准确性和可靠性。
Combined atmospheric radiative transfer (CART) model based on moderate resolution imaging spectroradiometer (MODIS) levels cloud products, atmospheric infrared sounder (AIRS) level 2 atmospheric products and AIRS L1B product is used to simulate and analyze brightness temperature at the top of ice clouds atmosphere at 9 μm (band from 1070 cm-1 to 1135 cm 1), 11.03 μm (band from 886 cm 1 to 928 cm-1) and 12.02 μm (band from 815 cm-1 to 850 cm 1) bands. Brightness temperatures between AIRS observation and simulation brightness temperatures with retrieved ice clouds parameters and MODIS cloud product at three bands are compared and analyzed. The probability distribution of brightness temperature difference between simulation with retrieved ice clouds parameters and AIRS observation is studied. Results show that distribution of brightness temperature simulated based on retrieved ice clouds optical thickness and cloud top height is consistent with AIRS observation at three bands. Correlation coefficient of brightness temperature between them is bigger than 0. 98. The brightness temperature difference between model simulation and AIRS observation at 11.03 μm and 12.02 μm bands is at the range from 0 to 5 K, and 0 to ±0.5 K at 9 μm band. It is definitely accurate and reliable to simulate atmospheric radiative properties under actual atmospheric conditions with retrieved ice clouds parameters.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2014年第9期15-21,共7页
Acta Optica Sinica
基金
国家自然科学基金(61077081)
国家自然科学基金青年基金(41105021)
关键词
大气光学
大气辐射
通用大气辐射传输模式
卫星观测
遥感
atmospheric optics
atmospheric radiation
combined atmospheric radiative transfer model
satelliteobservations
remote sensing