Long-term changes in the aerosol optical thickness in moscow and correction under strong atmospheric turbidity

Gorbarenko, E. V.; Rublev, A. N.

doi:10.1134/s0001433816010035

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…These inhomogeneities, in the general case, do not have a regular spatial distribution and, apparently, depend on the transfer of smoke aerosol arising as a result of forest fires. In [21], the authors analyzed parameters of forest fires in the Baikal region using VEGA PRO remote sensing data for 2002-2017. One of the results from this analysis is shown as a dotted line in Figure 4 as the count of forest fires per year.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variations of Aerosol Optical Depth in the Atmosphere over Baikal Region Based on MODIS Data

et al. 2021

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This paper considers spatiotemporal distribution and seasonal variability of aerosol optical depth (AOD) of the atmosphere at the 0.55 μm wavelength in the atmosphere over the Baikal region of Russia based on long-term data (2005–2019) from satellite observations (MODIS/AQUA). A comparison of satellite AOD values with the AERONET record at the Geophysical Observatory of Institute of Solar-Terrestrial Physics of Siberian Brunch of Russian Academy of Science was performed. The results show that interannual AOD variability is mainly due to forest fires. The highest atmospheric transparency was in 2010, 2013 and 2016, and the lowest was in 2008, 2012 and 2014. It is noted that AOD decreased with latitude with a gradient ΔAOD = 0.002 ÷ 0.001 per degree of latitude. The mean seasonal variations in AOD at the six satellite overpass points were characterized by spring (April) and summer (July) highs and low AOD values in autumn. From June to November, the drop in AOD monthly means was more than 60%.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variations of Aerosol Optical Depth in the Atmosphere over Baikal Region Based on MODIS Data

et al. 2021

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“…1. Corrected aerosol optical depth at 500 nm (AOD500), by the method of Chubarova (2005) and by the method of Gorbarenko and Rublev (2013) for three different solar elevations, h, vs uncorrected AOD500*. The lowest curve, 1-to-1 line, is given for comparison.…”

Section: Model M2cmentioning

confidence: 99%

“…Recently Gorbarenko and Rublev (2013) reported about using a solar elevation-dependent correction of AOD500*. Assuming continental aerosols with a fixed Ångström exponent, α 1, = they derived a correction algorithm:…”

Section: Model M2cmentioning

confidence: 99%

Spectral aerosol optical depth prediction by some broadband models. Validation with AERONET observations

Kannel¹,

Ohvril²,

Okulov³

et al. 2014

Proc. Estonian Acad. Sci.

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A comprehensive investigation on the performance of aerosol optical depth at 500 nm (AOD500) predictions using broadband physical and statistical models is detailed here. Seven simple models and one more complicated model were selected. A special database with more than 26 000 broadband (direct solar beam) and spectral (AODλ) instantaneous observations at clear solar disc during 10 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) at Tõravere (Estonia) was compiled for the intercomparison. The database allows analysing the variability and climatological behaviour of several column parameters: coefficient of broadband transparency, precipitable water, AOD500, and the Ångström wavelength exponent (α). A statistical AOD500 model is finally recommended. It uses only two input parameters: coefficient of column broadband transparency and precipitable water. Two models from the set enabled variation of Ångström α. However, consideration of a priori known instantaneous α values did not improve predictions.

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Long-term variations of aerosol optical depth according to satellite data and its effects on radiation and temperature in the Moscow megacity

Poliukhov,

Zhdanova,

Chubarova

2024

Atmospheric Research

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Long-term changes in the aerosol optical thickness in moscow and correction under strong atmospheric turbidity

Cited by 7 publications

References 5 publications

Spatiotemporal Variations of Aerosol Optical Depth in the Atmosphere over Baikal Region Based on MODIS Data

Spatiotemporal Variations of Aerosol Optical Depth in the Atmosphere over Baikal Region Based on MODIS Data

Spectral aerosol optical depth prediction by some broadband models. Validation with AERONET observations

Long-term variations of aerosol optical depth according to satellite data and its effects on radiation and temperature in the Moscow megacity

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