Spatiotemporal Distribution of Major Aerosol Types over China Based on MODIS Products between 2008 and 2017

Abstract

<jats:p>Knowledge of aerosol-type distribution is critical to the evaluation of aerosol–climate effects. However, research on aerosol-type distribution covering all is limited. This study characterized the spatiotemporal distribution of major aerosol types over China by using MODerate resolution Imaging Spectroradiometer (MODIS) products from 2008 to 2017. Two aerosol-type classification methods were combined to achieve this goal. One was for relatively high aerosol load (AOD ≥ 0.2) using aerosol optical depth (AOD) and aerosol relative optical depth (AROD) and the other was for low aerosol load (AOD &lt; 0.2) using land use and population density information, which assumed that aerosols are closely related to local emissions. Results showed that the dominant aerosol-type distribution has a distinct spatial and temporal pattern. In western China, background aerosols (mainly dust/desert dust and continent aerosol) dominate with a combined occurrence ratio over 70% and they have slight variations on seasonal scale. While in eastern China, the dominant aerosols show strong seasonal variations. Spatially, mixed aerosols dominate most parts of eastern China in spring due to the influence of long-range transported dust from Taklamakan and Gobi desert and urban/industry aerosols take place in summer due to strong photochemical reactions. Temporally, mixed and urban/industry aerosols co-dominate eastern China.</jats:p>

Aerosols optical depth and Ångström exponent over different regions in Garhwal Himalaya, India

“…AOD and AE) using 13 years of data during 2001–2013 (Habib et al, 2019 ) were observed using the Aerosol Robotic Network (AERONET), Moderate Resolution Imaging Spectroradiometer (MODIS), and Multi-angle Imaging Spectroradiometer (MISR) over regions of the Asian desert. Further, according to Chen et al ( 2020 ), the background aerosols (mainly continent aerosol) dominate with a combined occurrence ratio of over 70% and they have slight variations on the seasonal scale with the dominant aerosols showing strong seasonal variations. Nonetheless, with the significance of the climatic effect of aerosols and the importance of aerosols in cloud formation, many investigations have been performed by using the data of aerosol parameters (i.e.…”

Preliminary discussion about the air pollution status in Afghanistan from Aerosol Optical Depth

“…Many satellite instruments, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) [5], [12][13][14], the multi-angle imaging spectroradiometer (MISR) [16], [17], the Medium Resolution Spectrum Imager (MERSI), and the Advanced Himawari Imager (AHI), have set bands to retrieve AOD. The objective of this study is to evaluate the spatiotemporal distribution and seasonal variability of aerosol optical depth (AOD) at 550 nm in the atmosphere over the Kabul city of Afghanistan based on long-term data (2001-2021) from MODIS Aqua/Terra satellite observations with 1 km×1 km resolution.…”

Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019)

“…Therefore, many previous studies have analyzed aerosol optical properties using long-term data or case studies of specific regions (e.g., Kim et al, 2007;Lee et al, 2007;Shin et al, 2019;Tian et al, 2020). However, fewer studies have examined long-term variations in aerosol type (e.g., Chen et al, 2020;Ou et al, 2017). Several studies have focused on aerosol emissions (e.g., Ou et al, 2017;Song et al, 2008) and aerosol characteristics in East Asia (e.g., Li et al, 2015), because aerosol types considerably vary in this region due to the diverse range of emission sources (Kang et al, 2017).…”

“…Until recently, it was difficult to determine whether these long-term results have had a steady effect on aerosol properties. Therefore, past studies have provided extensive aerosol data, but there have been few studies of long-term variation in aerosol types according to their optical properties (e.g., Chen et al, 2020;Ou et al, 2017).…”