Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions

Yang, Xiankun; Zhao, Chuanfeng; Luo, Nana; Zhao, Wenji; Shi, Wenzhong; Xiao, Yan

doi:10.1016/j.atmosenv.2019.117068

Cited by 52 publications

(43 citation statements)

References 51 publications

(48 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This L3 product is reported every 1 h and it has a spatial resolution of 5 km. Aerosol products (L2 V1.0, V2.1) from Himawari-8 have been compared and evaluated against AERONET and MODIS C6.1 aerosol products over Asia and the oceanic regions with satisfactory agreement (Yang et al, 2020). Furthermore, Himawari-8 observations have been widely used for aerosol studies and for estimations of solar radiation over East Asia (Shi et al, 2018;Yan et al, 2018;Hou et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…In order to collocate the Himawari-8 AOD, the AERONET data were averaged for ±30 min of the Himawari-8 overpass time (Zhang et al, 2019). A single satellite pixel (fine scale AOD) that lies over or closest to the AERONET stations was used for the validation, a method similar to that adopted by Yang et al (2020) and Emili et al (2011). Statistical measures such as the root mean square error (RMSE), relative bias (RB) and mean absolute error (MAE) were used to quantify the accuracy of the Himawari-8 L3 AOD against AERONET.…”

Section: Methodsmentioning

confidence: 99%

“…Among the SEA countries, Malaysia enforced the movement control order (MCO) for a longer period, starting from 18 March until 6 June 2020. In addition, for a more detailed analysis over Malaysia, which is only marginally affected by the forest and vegetation fires in the northern part of SEA, the AOD values were extracted for a single pixel (Yang et al, 2020;Emili et al, 2011) that is located over or closest to the 65 monitoring stations including industrial (7), urban (10), suburban (36) and rural sites (12). The Himawari-8 L3 AODs over these sites were temporally averaged during a period of 44 days, starting from March 18 to April 30 for the years 2018, 2019 and 2020.…”

Section: Himawari-8 Aodmentioning

confidence: 99%

See 2 more Smart Citations

COVID-19's impact on the atmospheric environment in the Southeast Asia region

Kanniah

Zaman

Kaskaoutis

et al. 2020

Science of The Total Environment

285

255

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Himawari-8 Aodmentioning

confidence: 99%

See 1 more Smart Citation

COVID-19's impact on the atmospheric environment in the Southeast Asia region

Kanniah

Zaman

Kaskaoutis

et al. 2020

Science of The Total Environment

285

255

View full text Add to dashboard Cite

show abstract

“…Its mask product correctly identifies cloudy or clear areas 90%-96% of the time during the day and 88%-95% during the night over non-polar areas [35]. MODIS retrievals of AOT have been thoroughly validated by comparison to Aerosol Robotic Network (AER-ONET) data worldwide (e.g., [37][38][39][40][41]). PWV has also been validated by comparison to AERONET and GPS data [42][43][44].…”

Section: Dataset and Methodologymentioning

confidence: 99%

Global Spatial and Temporal Variation of the Combined Effect of Aerosol and Water Vapour on Solar Radiation

et al. 2021

View full text Add to dashboard Cite

This study aims to calculate the combined and individual effects of the optical thickness of aerosols (AOT) and precipitable water vapour (PWV) on the solar radiation reaching the Earth’s surface at a global scale and to analyse its spatial and temporal variation. For that purpose, a novel but validated methodology is applied to CERES SYN1deg products for the period 2000–2019. Spatial distributions of AOT and PWV effects, both individually and combined, show a close link with the spatial distributions of AOT and PWV. The spatially averaged combined effect results in a −13.9% reduction in irradiance, while the average AOT effect is −2.3%, and the PWV effect is −12.1%. The temporal analysis focuses on detecting trends in the anomalies. The results show overall positive trends for AOT and PWV. Consequently, significant negative overall trends are found for the effects. However, significant positive trends for the individual AOT and the combined AOT-PWV effects are found in specific regions, such as the eastern United States, Europe or Asia, indicating successful emission control policies in these areas. This study contributes to a better understanding of the individual and combined effects of aerosols and water vapour on solar radiation at a global scale.

show abstract

“…There are numerous studies that have focused on aerosol optical properties in Australia. Northern Australia is highly influenced by biomass burning aerosol from wild fires during the dry season (typically April-November), while central Australia is mostly affected by dust aerosol (Yoon et al, 2016;Qin and Mitchell, 2009). Australian aerosol optical depth (AOD) generally increases from the austral winter to spring then decreases from summer to fall (Mitchell et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia

et al. 2021

Self Cite

View full text Add to dashboard Cite

Abstract. The spatiotemporal distributions of aerosol optical properties and major aerosol types, along with the vertical distribution of major aerosol types over Australia, are investigated based on multi-year Aerosol Robotic Network (AERONET) observations at nine sites, the Moderate Resolution Imaging Spectroradiometer (MODIS), Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and back-trajectory analysis from the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT). During the observation period from 2001–2020, the annual aerosol optical depth (AOD) at most sites showed increasing trends (0.002–0.029 yr−1), except for that at three sites, Canberra, Jabiru, and Lake Argyle, which showed decreasing trends (−0.004 to −0.014 yr−1). In contrast, the annual Ångström exponent (AE) showed decreasing tendencies at most sites (−0.045 to −0.005 yr−1). The results showed strong seasonal variations in AOD, with high values in the austral spring and summer and relatively low values in the austral fall and winter, and weak seasonal variations in AE, with the highest mean values in the austral spring at most sites. Monthly average AOD increases from August to December or the following January and decreases during March–July. Spatially, the MODIS AOD showed obvious spatial heterogeneity, with high values appearing over the Australian tropical savanna regions, Lake Eyre Basin, and southeastern regions of Australia, while low values appeared over the arid regions in western Australia. MERRA-2 showed that carbonaceous aerosol over northern Australia, dust over central Australia, sulfate over densely populated northwestern and southeastern Australia, and sea salt over Australian coastal regions are the major types of atmospheric aerosols. The nine ground-based AERONET sites over Australia showed that the mixed type of aerosols (biomass burning and dust) is dominant in all seasons. Moreover, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) showed that polluted dust is the dominant aerosol type detected at heights 0.5–5 km over the Australian continent during all seasons. The results suggested that Australian aerosol has similar source characteristics due to the regional transport over Australia, especially for biomass burning and dust aerosols. However, the dust-prone characteristic of aerosol is more prominent over central Australia, while the biomass-burning-prone characteristic of aerosol is more prominent in northern Australia.

show abstract

Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions

Cited by 52 publications

References 51 publications

COVID-19's impact on the atmospheric environment in the Southeast Asia region

COVID-19's impact on the atmospheric environment in the Southeast Asia region

Global Spatial and Temporal Variation of the Combined Effect of Aerosol and Water Vapour on Solar Radiation

Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia

Contact Info

Product

Resources

About