北非沙尘预报:卫星和地面观测的验证

Aditi Singh, Sumit Kumar, J. George
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引用次数: 2

摘要

北非干旱地区被认为是主要的沙尘来源之一。本文主要研究北非不同地区沙尘气溶胶光学深度(AOD)的预报。NCMRWF统一模型(NCUM)基于00世界时初始条件,在不同波长下产生尘埃AOD预报,预估时间可达240小时。基于不同初始条件的550nm至72小时的尘埃AOD模式预报与2014年5 - 6月的卫星和地面总AOD观测进行了验证,假设除尘埃外,所有其他气溶胶类型的存在都可以忽略不计。利用气溶胶机器人网络(AERONET)站的总模态和粗模态AOD观测资料,验证了粉尘AOD预测的具体位置和地理分布。利用MODIS中分辨率成像光谱仪(MODIS)的550 nm暗目标和深蓝色合并的3级气溶胶总光学深度(AOD)和CALIOP云气溶胶激光雷达(CALIOP)的532 nm反演尘埃光学深度(AOD)进行验证。CALIOP粉尘AOD由气溶胶剖面2级产品在532 nm处的气溶胶消光系数垂直积分得到。结果表明,在所有选定的AERONET站点上,NCUM能较好地提前3天预测粉尘AODs的变化趋势。除了在Cinzana(马里)的一个地点,模型预测与AERONET的点测量之间存在良好的相关性,偏差(~±0.06)和RMSE(~ 0.2)值一直很低。与CALIOP相比,模型预测的粉尘AOD持续高估,偏差为0.25,RMSE为0.40。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dust forecast over North Africa: verification with satellite and ground based observations
Arid regions of North Africa are considered as one of the major dust source. Present study focuses on the forecast of aerosol optical depth (AOD) of dust over different regions of North Africa. NCMRWF Unified Model (NCUM) produces dust AOD forecasts at different wavelengths with lead time upto 240 hr, based on 00UTC initial conditions. Model forecast of dust AOD at 550 nm up to 72 hr forecast, based on different initial conditions are verified against satellite and ground based observations of total AOD during May–June 2014 with the assumption that except dust, presence of all other aerosols type are negligible. Location specific and geographical distribution of dust AOD forecast is verified against Aerosol Robotic Network (AERONET) station observations of total and coarse mode AOD. Moderate Resolution Imaging Spectroradiometer (MODIS) dark target and deep blue merged level 3 total aerosol optical depth (AOD) at 550 nm and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) retrieved dust AOD at 532 nm are also used for verification. CALIOP dust AOD was obtained by vertical integration of aerosol extinction coefficient at 532 nm from the aerosol profile level 2 products. It is found that at all the selected AERONET stations, the trend in dust AODs is well predicted by NCUM up to three days advance. Good correlation, with consistently low bias (~ ±0.06) and RMSE (~ 0.2) values, is found between model forecasts and point measurements of AERONET, except over one location Cinzana (Mali). Model forecast consistently overestimated the dust AOD compared to CALIOP dust AOD, with a bias of 0.25 and RMSE of 0.40.
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