Aerosol optical depths over North Africa: 2. Modeling and model validation
Aerosol optical depths over North Africa: 2. Modeling and model validation
复制标题
北非上空的气溶胶光学深度：2. 建模和模型验证
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
E. Highwood
中科院分区：
文献类型：
--
作者：
G. Greed;J. Haywood;S. Milton;A. Keil;S. Christopher;Pawan Gupta;E. Highwood
[1]一个业务沙尘预报模式的开发包括气象局哈德利中心气候模式沙尘参数化方案，在气象局区域数值天气预报（NWP）模式。该模型包括参数化的灰尘隆起，灰尘运输，灰尘沉积在六个离散的大小箱，并提供诊断，如气溶胶光学厚度。的结果进行比较，对地面和卫星遥感测量和现场测量设施的大气机载测量的案例研究时，一个强大的沙尘暴事件的预测。还对整个8月的卫星和地面仪器进行了比较。个例分析表明，该模式对沙尘天气预报有很好的指导作用，预报时间可提前42 h。对月数据的分析表明，沙尘模型的平均值和变异性也得到了很好的体现。
[1] An operational dust forecasting model is developed by including the Met Office Hadley Centre climate model dust parameterization scheme, within a Met Office regional numerical weather prediction (NWP) model. The model includes parameterizations for dust uplift, dust transport, and dust deposition in six discrete size bins and provides diagnostics such as the aerosol optical depth. The results are compared against surface and satellite remote sensing measurements and against in situ measurements from the Facility for Atmospheric Airborne Measurements for a case study when a strong dust event was forecast. Comparisons are also performed against satellite and surface instrumentation for the entire month of August. The case study shows that this Saharan dust NWP model can provide very good guidance of dust events, as much as 42 h ahead. The analysis of monthly data suggests that the mean and variability in the dust model is also well represented.