3 years ago

Aerosol optical depth retrieval from visibility in China during 1973–2014

Visibility is a widely-used indicator to quantify aerosol loadings. However, there are still some uncertainties in retrieving Aerosol Optical Depth (AOD) from surface visibility data. In this study, a new method, KM-Elterman method, was developed to retrieve AOD based on visibility from 1973 to 2014 and MODIS (Aqua) AOD product from 2002 to 2014. The analysis indicated that KM-Elterman method performed better than previous algorithms, such as Qiu, Elterman, and M-Elterman algorithms. The correlation between inferred AOD and MODIS measurements from 2002 to 2010 reached at 0.942 and the Root Mean Squared Error (RMSE) is about 0.077 for annual inferred AOD. Singular Value Decomposition (SVD) method was used to investigate the consistency of spatio-temporal variations between inferred AOD and MODIS measurements from July 2002 to December 2014. The correlation between Principal Components (PCs) is well above 0.72. The spatial patterns of inferred AOD agreed well with that of MODIS datasets. Long-term AOD trends over China during 1973–2014 were analyzed using the inferred AOD and our results pointed out that rapidly increasing trends of AOD were observed before 1980 in North China Plain (NCP), Yangtze River Delta (YRD), central China, Sichuan Basin (SB), and Pearl River Delta (PRD). Slight decreasing trends were found in southwest China. The inferred AOD can be used to explore aerosol effects on climate change and Earth's radiative budget.

Publisher URL: www.sciencedirect.com/science

DOI: S135223101730585X

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.