Istanbul Technical University, Eurasia Institute of Earth Sciences, Istanbul, Turkey; University of Wisconsin-Madison, Space Science and Engineering Center, Madison, WI, USA.
NOAA/NESDIS/STAR, USA.
Sci Total Environ. 2018 Aug 15;633:317-328. doi: 10.1016/j.scitotenv.2018.03.150. Epub 2018 Mar 23.
An online-coupled regional Weather Research and Forecasting model with chemistry (WRF-Chem) is utilized incorporating 0.1°×0.1° spatial resolution HTAP (Hemispheric Transport of Air Pollution) anthropogenic emissions to investigate the spatial and temporal distribution of a Saharan dust outbreak, which contributed to high levels (>50μg/m) of daily PM concentrations over Turkey in April 2008. Aerosol optical depth and cloud optical thickness retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on board of Aqua satellite are used to better analyze the synoptic conditions that generated the dust outbreak in April 2008. A "Sharav" low pressure system, which transports the dust from Saharan source region over Turkey along the cold front, tends to move faster in WRF-Chem simulations than observed. This causes the predicted dust event to arrive earlier than observed leading to an overestimation of surface PM concentrations in WRF-Chem simulation at the beginning of the event.
利用在线耦合的区域气象研究和预测化学模型(WRF-Chem),结合空间分辨率为 0.1°×0.1°的 HTAP(半球大气污染物传输)人为排放物,研究了一次撒哈拉沙尘爆发的时空分布情况,此次沙尘爆发导致 2008 年 4 月土耳其出现高浓度(>50μg/m)的日 PM2.5 浓度。利用搭载在 Aqua 卫星上的中分辨率成像光谱仪(MODIS)传感器获取的气溶胶光学深度和云光学厚度反演结果,可更好地分析 2008 年 4 月引发沙尘爆发的天气条件。“Sharav”低压系统沿冷锋将沙尘从撒哈拉源区输送至土耳其,在 WRF-Chem 模拟中,该系统的移动速度比观测到的要快。这导致预测的沙尘事件比观测到的更早到达,从而导致在沙尘事件开始时,WRF-Chem 模拟中的地表 PM2.5 浓度被高估。