Parameterization of clear-sky surface irradiance and its implications for estimation of aerosol direct radiative effect and aerosol optical depth

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Xia, Xiangao ^a  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84942154882     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep14376     Document Type: Article

References (29)

1. Wild, M. Global dimming and brightening: A review. J. Geophys. Res. 114, D00D16, doi: 10.1029/2008JD011470 (2009).
2. Mercado, L. M. et al. Impact of changes in diffuse radiation on the global land carbon sink. Nature 458, 1014-U1087, doi: 10.1038/nature07949 (2009).
3. Wang, K. C. & Dickinson, R. E. Contribution of solar radiation to decadal temperature variability over land. Proc Natl Acad Sci USA 110, 14877-14882, doi: 10.1073/pnas.1311433110 (2013).
4. Satheesh, S. K. & Ramanathan, V. Large differences in tropical aerosol forcing at the top of the atmosphere and Earths surface. Nature 405, 60-63, doi: 10.1038/35011039 (2000).
5. Conant, W. C. et al. A model for the radiative forcing during ACE-Asia derived from CIRPAS Twin Otter and R/V Ronald H. Brown data and comparison with observations. J. Geophys. Res. 108, 8661, doi: 10.1029/2002JD003260 (2003).
6. Dumka, U. C. et al. Surface changes in solar irradiance due to aerosols over central Himalayas. Geophys. Res. Lett. 33, L20809, doi: 10.1029/2006GL027814 (2006).
7. Xia, X. A., Li, Z. Q., Chen, H. B. & Cribb, M. Estimation of aerosol effects on surface irradiance based on measurements and radiative transfer model simulations in northern China. J. Geophys. Res. 112, D22S10, doi: 10.1029/2006JD008337 (2007).
8. Huttunen, J. et al. Effect of water vapor on the determination of aerosol direct radiative effect based on the AERONET fluxes. Atmos. Chem. Phys. 14, 6103-6110 (2014).
9. Gueymard, C. Clear-sky irradiance predictions for solar resource mapping and large-scale applications: Improved validation methodology and detailed performance analysis of 18 broadband radiative models. Sol. Energy 86, 2145-2169 (2012).
10. Badescu, V. et al. Computing global and diffuse solar hourly irradiation on clear sky. Review and testing of 54 models. Renew. Sust. Energy Rev. 16, 1636-1656 (2012).
11. Reno, M. J., Hansen, C. W. & Stein, J. S. Global Horizontal Irradiance Clear Sky Models: Implementation and Analysis, Sandia Nationa Lboratories. Tech Report SAND 2012-2389 (2012).
12. Gueymard, C. A. & Ruiz-Arias, J. A. Validation of direct normal irradiance predictions under arid conditions: A review of radiative models and their turbidity-dependent performance. Renew. Sust. Energy Rev. 45, 379-396 (2015).
13. Conant, W. An observational approach for determining aerosol surface radiative forcing: results from the first field phase of INDOEX. J. Geophys. Res. 105, 15347-15360 (2000).
14. Allen, R. J., Norris, J. R. & Wild, M. Evaluation of multidecadal variability in CMIP5 surface solar radiation and inferred underestimation of aerosol direct effects over Europe, China, Japan and India. J. Geophy. Res. 118, 6311-6336, doi: 10.1002/ jgrd.50426 (2013).
15. Long, C. N. & Ackerman, T. P. Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects. J. Geophys. Res. 105, 15609-15626 (2000).
16. Iqbal, M. An introduction to solar radiation. Elsevier (2012).
17. Xia, X. A critical assessment of direct radiative effects of different aerosol types on surface global radiation and its components. J. Quant. Spec. Rad. Tran. 149, 72-80 (2014).
18. Levy, R. et al. Global evaluation of the Collection 5 MODIS dark-target aerosol products over land. Atmos. Chem. Phys. 10, 10399-10420 (2010).
19. Ohmura, A. et al. Baseline surface radiation network (BSRN/WCRP): new precision radiometry for climate research. Bull. Amer. Meteo. Soc. 79, 2115-2136 (1998).
20. Hinkelman, L. M., Stackhouse, P. W., Wielicki, B. A., Zhang, T. P. & Wilson, S. R. Surface insolation trends from satellite and ground measurements: comparisons and challenges. J. Geophys. Res. 114, D00D20, doi: 10.1029/2008JD011004 (2009).
21. Qiu, J. Q. A method to determine atmospheric aerosol optical depth using total direct solar radiation. J. Atmos. Sci. 55, 744-757 (1998).
22. Diermendjian, D. A survey of light-scattering techniques used in the remote monitoring of atmospheric aerosol. Rev. Geophys. Space Phys. 18, 341-360 (1980).
23. Gueymard, C. & Garrison, J. Critical evaluation of precipitable water and atmospheric turbidity in Canada using measured hourly solar irradiance. Sol. Energy 62, 291-307 (1998).
24. Eck, T. et al. Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures. J. Geophys. Res. 115, D19205, doi: 10.1029/2010JD014002 (2010).
25. Holben, B. N. et al. AERONET-a Federated Instrument Network and Data Archive for aerosol characterization. Remote Sens. Environ. 66, 1-16 (1998).
26. Eck, T. F. et al. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. J. Geophys. Res. 104, 31333-31349, doi: 10.1029/1999JD900923 (1999).
27. Dubovik, O. & King, M. D. A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J. Geophys. Res. 105, 20673-20696, doi: 10.1029/2000JD900282 (2000).
28. Garc, O. E. et al. Validation of AERONET estimates of atmospheric solar surface fluxes and aerosol radiative forcing by groundbased broadband measurements. J. Geophys. Res. 113, D21207, doi: 10.1029/2008JD010211 (2008).
29. Li, Z., Lee, K., Wang, Y., Xin, J. & Hao, W. First observation-based estimates of cloud-free aerosol radiative forcing across China. J. Geophys. Res. 115, D00K18, doi: 10.1029/2009JD013306 (2010).