Abstract

This study conducted the first comprehensive assessment of the aerosol optical depth (AOD) product retrieved from the observations by the Advanced Himawari Imager (AHI) onboard the Himawari-8 satellite. The AHI Level 3 AOD (Version 3.0) was evaluated using the collocated Aerosol Robotic Network (AERONET) level 2.0 direct sun AOD measurements over the last three years (May 2016–December 2018) at 58 selected AERONET sites. A comprehensive comparison between AHI and AERONET AOD was carried out, which yielded a correlation coefficient (R) of 0.82, a slope of 0.69, and a root mean square error (RMSE) of 0.16. The results indicate a good agreement between AHI and AERONET AOD, while revealing that the AHI aerosol retrieval algorithm tends to underestimate the atmospheric aerosol load. In addition, the expected uncertainty of AHI Level 3 AOD (Version 3.0) is ± (0.1 + 0.3 × AOD). Furthermore, the performance of the AHI aerosol retrieval algorithm exhibits regional variation. The best performance is reported over East Asia (R 0.86), followed by Southeast Asia (R 0.79) and Australia (R 0.35). The monthly and seasonal comparisons between AHI and AERONET show that the best performance is found in summer (R 0.93), followed by autumn (R 0.84), winter (R 0.82), and spring (R 0.76). The worst performance was observed in March (R 0.75), while the best performance appeared in June (R 0.94). The variation in the annual mean AHI AOD on the scale of hours demonstrates that AHI can perform continuous (no less than ten hours) aerosol monitoring.

Highlights

  • Atmospheric aerosols play a key role in global climate change [1,2,3], radiative energy balance [4,5,6,7], and air quality assessment [8,9,10,11,12]

  • Linear fit statistics are the main criterion of the validation analysis and the others provide a way to understand the overall condition of comparisons

  • Summary statistics of Advanced Himawari Imager (AHI) aerosol optical depth (AOD) compared to Aerosol Robotic Network (AERONET) AOD for different areas 1

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Summary

Introduction

Atmospheric aerosols play a key role in global climate change [1,2,3], radiative energy balance [4,5,6,7], and air quality assessment [8,9,10,11,12]. Their influence is not yet well understood nor has it been quantified due to their short lifetime and high temporal and spatial variability [13,14]. These inadequacies arise in regions where aerosol particles originate from multiple sources and prevail with high concentration aerosols, such as East Asia [20,21,22,23]

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