Observationally-constrained estimates of global fine-mode AOD

40Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

Abstract

Small aerosols are mostly anthropogenic, and the fine-mode aerosol optical depth (fAOD) can be used to infer anthropogenic aerosol amounts. We estimate AOD and fAOD globally on a monthly time scale from 2001 to 2010 by integrating monthly satellite-based (MODIS and MISR) and ground-based (AERONET) observations. For fAOD, three integration methods are developed to utilize global coverage by satellite data and maximize the influence of AERONET data. We evaluate each method by applying the method without a few randomly-chosen AERONET data and comparing its output with the few AERONET data. The best method of the three is based on integrating the Ångström exponent (AE) data from MODIS, MISR and AERONET, and its output is closer to AERONET fAOD accuracy than MODIS or MISR fAOD over both ocean and land. Using our integrated data, we find that the global 2001-2010 average of 500 nm AOD and fAOD is 0.17 and 0.089, respectively. Eastern China as a region shows the largest decadal-mean fAOD. The linear trend of global AOD or global fAOD from 2001 to 2010 is found to be slightly negative. This decreasing trend is particularly pronounced over the West (Western Europe and US/Canada combined) where AOD and fAOD reductions are about -20%. By contrast, fAOD in India and eastern China combined increased slightly. These results reflect the overall anthropogenic aerosol emission reduction in the West, and stagnating conditions in Asia. Moreover, our results in the West are consistent with the so-called surface brightening phenomenon in the recent decades. © Author(s) 2013.

Figures

  • Table 1. Summary of the acronyms.
  • Table 2. Datasets used in this study.
  • Fig. 1. (a) Comparison of monthly AERONET aerosol optical depths (AODs) and monthly MISR AODs collocated in time and space. (b) Comparison with MODIS AODs. The T42 data in the 2001–2010 period is used here. The solid red line in each panel represents the linear regression, and the dashed blue line shows a slope of 1.0. R denotes the correlation coefficient, and N the number of the collocated data.
  • Fig. 2. Decadal mean AOD on the T42 resolution. Our best estimates, as shown in (c), integrate AERONET, MISR, MODIS, and GOCART data.
  • Fig. 3. Comparison of monthly AERONET AE and monthly MODIS (or MISR) AE. The data on the T42 resolution are used here.
  • Table 3. Definitions of fAOD, mAOD and cAOD. See Table 1 for the AOD acronyms. Only the MISR algorithm gives mAOD.
  • Fig. 4. Ångström exponent (AE) from (a) MISR, (b) MODIS, and (c) our best estimate. Shown are the 10-yr (2001–2010) AE averages, using the 10-yr mean AOD at each wavelength.
  • Fig. 5. Comparison of monthly AERONET FMF and monthly MODIS (or MISR) FMF. The data on the T42 resolution are used here. MISR FMF is defined as the ratio of fAOD to total AOD.

References Powered by Scopus

An Association between Air Pollution and Mortality in Six U.S. Cities

6834Citations
N/AReaders
Get full text

AERONET - A federated instrument network and data archive for aerosol characterization

6240Citations
N/AReaders
Get full text

Bounding the role of black carbon in the climate system: A scientific assessment

4731Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Constraining the Twomey effect from satellite observations: Issues and perspectives

70Citations
N/AReaders
Get full text

High-resolution daily AOD estimated to full coverage using the random forest model approach in the Beijing-Tianjin-Hebei region

69Citations
N/AReaders
Get full text

Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

65Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Lee, K., & Chung, C. E. (2013). Observationally-constrained estimates of global fine-mode AOD. Atmospheric Chemistry and Physics, 13(5), 2907–2921. https://doi.org/10.5194/acp-13-2907-2013

Readers over time

‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 16

55%

Researcher 12

41%

Professor / Associate Prof. 1

3%

Readers' Discipline

Tooltip

Earth and Planetary Sciences 13

52%

Environmental Science 10

40%

Physics and Astronomy 1

4%

Chemistry 1

4%

Save time finding and organizing research with Mendeley

Sign up for free
0