Digesting WRF-forcasted meterological parameters for aerosol optical properties predicting with the CAM model

Qiao Zhi; Shengcheng Cui; Baoying Li; Zihan Zhang; Yue Pan; Yang Wu; Kun Zhang; Feifei Wang; Gang Sun; Tao Luo; Xuebin Li

doi:10.1117/12.2605799

24 November 2021 Digesting WRF-forcasted meterological parameters for aerosol optical properties predicting with the CAM model

Qiao Zhi, Shengcheng Cui, Baoying Li, Zihan Zhang, Yue Pan, Yang Wu, Kun Zhang, Feifei Wang, Gang Sun, Tao Luo, Xuebin Li

Author Affiliations +

Proceedings Volume 12064, AOPC 2021: Optical Spectroscopy and Imaging; 1206409 (2021) https://doi.org/10.1117/12.2605799
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

As an important part of the atmospheric environment, aerosols play a critical role in the study of the relationship between light and radiation. However, due to the complex spatiotemporal distribution of aerosols, it is much difficult to measure their microphysical properties and to determine their optical properties in coastal areas. In this paper, basic meteorological elements (e.g., wind speed, temperature, humidity) are simulated with the numerical weather forecasting (WRF) model. Then, the coastal aerosol model (CAM) together with the observation data is used to simulate the aerosol particle size distribution (APSD) and extinction coefficient for the coastal environment of Qingdao. Finally, data measured by the automatic weather station and particle counter in the coastal area are compared to their corresponding simulations. According to the comparisons results, temperature simulations were higher from an overall perspective (<2°C) with the correlation coefficient larger than 0.96; humidity simulations were comparatively lower on the 11th and 12th day (<10%) than those onthe 13th day (<20%), but the correlation coefficient was still larger than 0.8. With the meterological parameters simulations, the CAM model was used to predict the APSDs. It is founded that simulations for large particles are generally larger, while those for giant particles are generally smaller, but the simulated temperature, humidity, APSD and extinction coefficient are very consistent with their corresponding measurements. The method established in this paper is promising for the simulation and forecast of both the meteorological elements and aerosol microphysical properties.

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Qiao Zhi, Shengcheng Cui, Baoying Li, Zihan Zhang, Yue Pan, Yang Wu, Kun Zhang, Feifei Wang, Gang Sun, Tao Luo, and Xuebin Li "Digesting WRF-forcasted meterological parameters for aerosol optical properties predicting with the CAM model", Proc. SPIE 12064, AOPC 2021: Optical Spectroscopy and Imaging, 1206409 (24 November 2021); https://doi.org/10.1117/12.2605799

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KEYWORDS

Aerosols

Atmospheric modeling

Atmospheric particles

Content addressable memory

Coastal modeling

Humidity

Meteorology

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