Evaluation of PM25 Forecast Performance Based on WRFChem Model
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
In order to understand the PM25 concentration forecasting performance over Anhui Province, the forecasting results of the Operational Forecasting System for Atmospheric Environment over East China based on the WRFChem Model is evaluated in combination with the observation data from June 2015 to May 2016 The results show that: (1) The correlation between the modelforecasted values and the observed is good, and the prediction performance of different lead times can reach “excellent.” (2) The spatial distribution of the mean forecast bias is negative in North Anhui and positive in South Anhui. (3) The mean biases of the 24hour forecasts in the summer and autumn of 2015 were negative in the northeast Anhui and positive in other regions. In the winter of 2015 and spring of 2016, the mean biases for the northeastern Anhui province and south of the Yangtze River were negative. The mean bias of the 14 cities in different seasons was within ±30 μg〖DK〗·m-3. (4) The missing rate was bigger than the false alarm ratio in moderate and above pollution days for most cities in Anhui Province.
Keywords:
Project Supported:
Clc Number:
You are thevisitors
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.