Global three‐dimensional simulation of aerosol optical thickness distribution of various origins

Takemura, Toshihiko; Okamoto, Hajime; Maruyama, Yoshihiro; Numaguti, Atusi; Higurashi, Akiko; Nakajima, Teruyuki

doi:10.1029/2000jd900265

Cited by 413 publications

(405 citation statements)

References 83 publications

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“…For example, in the developmental version of the fourth generation Canadian Centre for Climate Modelling and Analysis Atmospheric General Circulation Model (Bäumer et al 2007), the sizes of OC particles were fixed to 0.2 and 2.0 μm in diameter for fine and coarse mode, respectively. Furthermore, Takemura et al (2000) used a single size for carbonaceous aerosols including OC and EC. They assumed the size to be dependent on the ambient relative humidity.…”

Section: Source Diagnostic Ratiosmentioning

confidence: 99%

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Lee

Shin

Bae

et al. 2008

Air Qual Atmos Health

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The atmospheric size distributions of particulate polycyclic aromatic hydrocarbons (PAHs) up to 10 μm in diameter were measured at Seoul in the summer and winter of 2003. The concentrations of total PAHs were from 4.32 to 5.48 ng m −3 in summer and from 25.6 to 35.9 ng m −3 in winter, respectively. Majority of the PAHs concentrations were found on fine particles (D p <2.1 μm). The size distributions of individual PAH compounds were bimodal with the peaks in the 0.43-0.65-and 4.7-5.8-μm range in summer. In winter, those were unimodal or weakly bimodal with the peaks in the 0.65-1.1-and 4.7-5.8-μm range. The seasonal variation of the peak size range in the fine mode might be caused by longer residence time in the air in winter. Based on the previously reported source diagnostic ratios of PAHs for the major emission sources, it was suggested that vehicles were the major source of PAH in summer, while coal-related emissions and firewood fire were the major sources in winter for fine particles. The seasonal variation of the peak size ranges in the fine particles had not shown noticeable effect on the dry deposition fluxes. However, it might affect the optical properties of the atmosphere.

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Section: Source Diagnostic Ratiosmentioning

confidence: 99%

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Lee

Shin

Bae

et al. 2008

Air Qual Atmos Health

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“…The Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) is a global aerosol transport-radiation model, based on a general circulation model (Takemura et al, 2000(Takemura et al, , 2002(Takemura et al, , 2005, that simulates the transport of tropospheric aerosols (e.g., dust, sulfate, organic carbon, black carbon, and sea-salt) over a global and regional domain. In the present study, SPRINTARS simulated data are used to interpret the temporal distribution of aerosol species (e.g., dust, sulfate, organic carbon, black carbon, and sea-salt).…”

Section: Sprintars Derived Aerosol Species Datamentioning

confidence: 99%

Dust Induced Changes in Ice Cloud and Cloud Radiative Forcing over a High Altitude Site

Patel

Kumar

2016

Aerosol Air Qual. Res.

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Aerosol-cloud interaction is the subject of considerable scientific research, due to the importance of clouds in controlling climate. In the present study, three years (2011)(2012)(2013) satellite observations are used to investigate the aerosol indirect effect (AIE) over Dehradun. The low values of Angstrom exponent (α) during March-July are attributed to the loading of dust-like coarse particles in the atmosphere, whereas the analysis of aerosol type and Spectral Radiation Transport Model for Aerosol species (SPRINTARS) simulated aerosol species variation supports the fact. Moderate Resolution Imaging Spectroradiometer (MODIS) derived AOD data are associated to the cloud product to examine the dust impact on properties of liquid cloud and ice cloud. The positive values of aerosol cloud interaction effect (ACI) for ice cloud during pre-monsoon (March-May) and monsoon (June-August) seasons reveal the significant impact of dust on ice clouds over Dehradun, which is maximum during May (~0.24 ± 0.05). The present study shows that ice cloud effective radius (ICER) decrease with AOD during dust period. The increase in ice water path (IWP) and ice cloud optical depth (ICOD) reveals the impact of dust on heterogeneous ice generation in low level clouds. However, there is no relation between dust and liquid water cloud during dust period. It is difficult to provide definite conclusions that the dust and cloud changes are driven by the same meteorological conditions. Cloud and the Earth's Radiant Energy System (CERES) derived flux data are used to examine the associated changes in TOA cloud radiative forcing. The diminution in effective size of ice crystal due to aerosol first indirect effect traps more longwave radiation and reflects more solar radiation. Both first and second indirect effects enhance cloud cooling, whereas the dust induced cloud warming is mainly the result of the semi-direct effect.

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“…The aerosol optical properties are calculated from an offline three-dimensional aerosol transport model, the Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS) [Takemura et al, 2000], which simulates aerosol mass concentration distributions (soil dust, carbonaceous, sulfate, and sea-salt aerosols). The wave number dependency of the aerosol optical depth, as well as the single-scattering albedo and phase function are also calculated from SPRINTARS and were fixed during the retrieval.…”

Section: Nies 01xx and Nies 02xxmentioning

confidence: 99%

Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO₂ retrievals over TCCON sites

et al. 2013

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[1] This report is the second in a series of companion papers describing the effects of atmospheric light scattering in observations of atmospheric carbon dioxide (CO 2 ) by the Greenhouse gases Observing SATellite (GOSAT), in orbit since 23 January 2009. Here we summarize the retrievals from six previously published algorithms; retrieving columnaveraged dry air mole fractions of CO 2 (X CO2 ) during 22 months of operation of GOSAT from June 2009. First, we compare data products from each algorithm with ground-based remote sensing observations by Total Carbon Column Observing Network (TCCON). Our GOSAT-TCCON coincidence criteria select satellite observations within a 5 radius of 11 TCCON sites. We have compared the GOSAT-TCCON X CO2 regression slope, standard deviation, correlation and determination coefficients, and global and station-to-station biases. The best agreements with TCCON measurements were detected for NIES 02.xx and RemoTeC. Next, the impact of atmospheric light scattering on X CO2 retrievals was estimated for each data product using scan by scan retrievals of light path modification with the photon path length probability density function (PPDF) method. After a cloud prefiltering test, approximately 25% of GOSAT soundings processed by NIES 02.xx, ACOS B2.9, and UoL-FP: 3G and 35% processed by RemoTeC were found to be contaminated by atmospheric light scattering. This study suggests that NIES 02.xx and ACOS B2.9 algorithms tend to overestimate aerosol amounts over bright surfaces, resulting in an underestimation of X CO2 for GOSAT observations. Cross-comparison between algorithms shows that ACOS B2.9 agrees best with NIES 02.xx and UoL-FP: 3G while RemoTeC X CO2 retrievals are in a best agreement with NIES PPDF-D.

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Global three‐dimensional simulation of aerosol optical thickness distribution of various origins

Abstract: The other finding is that the seasonal shift off the west coast of North Africa observed by satellites, i.e., the latitude of the maximum optical thickness moves seasonally, is also reproduced in consideration of a mixed state of soil dust and carbonaceous aerosols.

Cited by 413 publications

References 83 publications

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Dust Induced Changes in Ice Cloud and Cloud Radiative Forcing over a High Altitude Site

Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO₂ retrievals over TCCON sites

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Global three‐dimensional simulation of aerosol optical thickness distribution of various origins

Abstract: The other finding is that the seasonal shift off the west coast of North Africa observed by satellites, i.e., the latitude of the maximum optical thickness moves seasonally, is also reproduced in consideration of a mixed state of soil dust and carbonaceous aerosols.

Cited by 413 publications

References 83 publications

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Seasonal variation of particle size distributions of PAHs at Seoul, Korea

Dust Induced Changes in Ice Cloud and Cloud Radiative Forcing over a High Altitude Site

Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites

Contact Info

Product

Resources

About

Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO₂ retrievals over TCCON sites