Effect of aerosol vertical distribution on aerosol-radiation interaction: A theoretical prospect

Mishra, Amit Kumar; Koren, Ilan; Rudich, Yinon

doi:10.1016/j.heliyon.2015.e00036

Cited by 73 publications

(44 citation statements)

References 65 publications

(67 reference statements)

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“…Differences in the DARF are very low at both levels, with mean differences of -0.001 Wm -2 (standard deviation of 0.009 Wm -2 ) at the SURF, and of 0.012 Wm -2 (standard deviation of 0.050 Wm -2 ) at the TOA. These results are in line with the sensitivity study performed by Mishra et al (2015), who concluded that aerosol forcing in the visible-near infrared range is less sensitive to changes in the aerosol layer height as compared to thermal-infrared and ultraviolet ranges.…”

Section: Aerosol Radiative Forcingsupporting

confidence: 92%

Thirteen Years of Aerosol Radiative Forcing in Southwestern Iberian Peninsula

Muñoz

Costa

Silva

et al. 2017

Aerosol Air Qual. Res.

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Notable uncertainties in the aerosol impact on the Earth's radiative budget still remain, mainly at local scales. This study aims to accurately quantify the shortwave aerosol radiative forcing (ARF) and its efficiency (ARFE) at Évora (Portugal, Southwestern Europe). This is an interesting region affected by different aerosol types and sources. Towards this goal, ARF and ARFE are calculated for Évora during thirteen years (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015), which is the longest period ever analyzed for this region. For this calculation, the most updated AERONET data have been used to simulate irradiance with the libRadtran code. Thus, 1676 daily values were analyzed, obtaining a mean ARF of -7.4 W m -2 at the Earth's surface (SURF) and -1.1 W m -2 at the top of the atmosphere (TOA), indicating a cooling of the Earth-atmosphere system. The difference in ARF between TOA and SURF indicates a mean net gain of 6.3 W m -2 for the atmosphere. While no ARF seasonal pattern is observed at the TOA, a clear seasonal cycle is detected at the SURF with the most negative values occurring in summer. On the other hand, ARFE shows mean values of -62.7 W m -2 τ -1 at the SURF and -14.3 W m -2 τ -1 at the TOA. Results show that ARFE highly depends on the aerosol single scattering albedo, showing opposite behavior at the SURF and at the TOA. The large temporal variability detected in the aerosol properties in the region of study confirms the general need for long time series of measurements to achieve an accurate estimation of the ARF and ARFE.

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Section: Aerosol Radiative Forcingsupporting

confidence: 92%

Thirteen Years of Aerosol Radiative Forcing in Southwestern Iberian Peninsula

Muñoz

Costa

Silva

et al. 2017

Aerosol Air Qual. Res.

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“…3), which is expected due to the different geographical areas and periods of interest between the two studies. The smooth reduction with increasing wavelength in the SSA of pure soot in this study, as well as the abrupt decrease from 1 to 3 µm in the water-soluble aerosol modes, is consistent with the findings of Mishra et al (2014Mishra et al ( , 2015 for the polluted air masses over the Mediterranean as well as with the respective model values used in the study by Takemura et al (2002) for carbonaceous and sulfate aerosol.…”

Section: The Aerosol Optical Propertiessupporting

confidence: 91%

Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation

et al. 2017

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Abstract. For the past 8 years, Greece has been experiencing a major financial crisis which, among other side effects, has led to a shift in the fuel used for residential heating from fossil fuel towards biofuels, primarily wood. This study simulates the fate of the residential wood burning aerosol plume (RWB smog) and the implications on atmospheric chemistry and radiation, with the support of detailed aerosol characterization from measurements during the winter of 2013-2014 in Athens. The applied model system (TNO-MACC_II emissions and COSMO-ART model) and configuration used reproduces the measured frequent nighttime aerosol spikes (hourly PM 10 > 75 µg m −3 ) and their chemical profile (carbonaceous components and ratios). Updated temporal and chemical RWB emission profiles, derived from measurements, were used, while the level of the model performance was tested for different heating demand (HD) conditions, resulting in better agreement with measurements for T min < 9 • C. Half of the aerosol mass over the Athens basin is organic in the submicron range, of which 80 % corresponds to RWB (average values during the smog period). Although organic particles are important light scatterers, the direct radiative cooling of the aerosol plume during wintertime is found low (monthly average forcing of -0.4 W m −2 at the surface), followed by a minor feedback to the concentration levels of aerosol species. The low radiative cooling of a period with such intense air pollution conditions is attributed to the timing of the smog plume appearance, both directly (longwave radiation increases during nighttime) and indirectly (the mild effect of the residual plume on solar radiation during the next day, due to removal and dispersion processes).

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“…δ(AOD) can be calculated using Equation (9). Considering that the MODIS TOA brightness temperature errors are 0.25 K for channels 28, 33, 34 and 35, 0.05 K for channels 29, 31 and 32, and 0.35 K for channel 36, respectively, δ(L DSLR ) can be acquired with Equation (8).…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…DSLR is the result of atmospheric scattering, absorption and emission in the entire vertical column, and it can be accurately calculated with complex radiative transfer models for which the concentrations of atmospheric constituents and the vertical distribution of temperature, water vapor, aerosol and clouds as the input parameters [4][5][6][7]. It is therefore necessary to evaluate accurately these parameters if one wants to reduce uncertainties in computing their radiative effects [8,9]. However, acquisition of these parameters is difficult and they are varying rapidly, at a daily or even hourly scale.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky

Wang

Tang

et al. 2017

Remote Sensing

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Abstract:The variation of aerosols, especially dust aerosol, in time and space plays an important role in climate forcing studies. Aerosols can effectively reduce land surface longwave emission and re-emit energy at a colder temperature, which makes it difficult to estimate downwelling surface longwave radiation (DSLR) with satellite data. Using the latest atmospheric radiative transfer code (MODTRAN 5.0), we have simulated the outgoing longwave radiation (OLR) and DSLR under different land surface types and atmospheric profile conditions. The results show that dust aerosol has an obvious "warming" effect to longwave radiation compared with other aerosols; that aerosol longwave radiative forcing (ALRF) increased with the increasing of aerosol optical depth (AOD); and that the atmospheric water vapor content (WVC) is critical to the understanding of ALRF. A method is proposed to improve the accuracy of DSLR estimation from satellite data for the skies under heavy dust aerosols. The AOD and atmospheric WVC under cloud-free conditions with a relatively simple satellite-based radiation model yielding the high accurate DSLR under heavy dust aerosol are used explicitly as model input to reduce the effects of dust aerosol on the estimation of DSLR. Validations of the proposed model with satellites data and field measurements show that it can estimate the DSLR accurately under heavy dust aerosol skies. The root mean square errors (RMSEs) are 20.4 W/m 2 and 24.2 W/m 2 for Terra and Aqua satellites, respectively, at the Yingke site, and the biases are 2.7 W/m 2 and 9.6 W/m 2 , respectively. For the Arvaikheer site, the RMSEs are 23.2 W/m 2 and 19.8 W/m 2 for Terra and Aqua, respectively, and the biases are 7.8 W/m 2 and 10.5 W/m 2 , respectively. The proposed method is especially applicable to acquire relatively high accurate DSLR under heavy dust aerosol using MODIS data with available WVC and AOD data.

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Effect of aerosol vertical distribution on aerosol-radiation interaction: A theoretical prospect

Cited by 73 publications

References 65 publications

Thirteen Years of Aerosol Radiative Forcing in Southwestern Iberian Peninsula

Thirteen Years of Aerosol Radiative Forcing in Southwestern Iberian Peninsula

Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation

Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky

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