Correlating aerosol optical thickness measurement with PM10 mass concentration in Wuhan area

2011 ◽  
Author(s):  
Chensheng Wang ◽  
Zhijie Zhang ◽  
Song Yue
Keyword(s):  
Optical Thickness ◽  
Mass Concentration ◽  
Thickness Measurement ◽  
Aerosol Optical Thickness ◽  
Wuhan Area ◽  
Pm10 Mass

Aerosol Optical Thickness Measurement with Elevation-Scanning Lidar

2015 ◽  
Vol 32 (7) ◽  
pp. 1364-1371
Author(s):  
Pavel I. Ionov ◽  
Andrew K. Mollner
Keyword(s):  
Optical Thickness ◽  
Thickness Measurement ◽  
High Accuracy ◽  
Sufficient Accuracy ◽  
Aerosol Optical Thickness ◽  
Calibration Standards ◽  
Accuracy Measurement ◽  
Scanning Lidar ◽  
Sun Photometer ◽  
High Accuracy Measurement

AbstractHigh-accuracy measurement of aerosol optical thickness (AOT) τa with an elevation-scanning lidar is demonstrated and the results are compared with a collocated Cimel 318 sun photometer. Linear regression of the time-coincident data from a 2-week measurement campaign with the two instruments is found to be τalidar = (1.00 ± 0.17)τaphot + (0.025 ± 0.019) (1σ). The method proved to have sufficient accuracy to measure AOTs of 0.1–0.2 commonly seen in relatively clear atmosphere. The measurement is absolute and thus does not depend on any external calibration standards.

scholarly journals Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data

2006 ◽  
Vol 6 (12) ◽  
pp. 4843-4849 ◽  
Author(s):  
M. Kacenelenbogen ◽  
J.-F. Léon ◽  
I. Chiapello ◽  
D. Tanré
Keyword(s):  
Correlation Coefficient ◽  
Optical Thickness ◽  
Environmental Protection Agency ◽  
Fine Particle ◽  
Mass Concentration ◽  
Volume Fraction ◽  
Aerosol Optical Thickness ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Data Points

Abstract. We analyze the relationship between daily fine particle mass concentration (PM2.5) and columnar aerosol optical thickness derived from the Polarization and Directionality of Earth's Reflectances (POLDER) satellite sensor. The study is focused over France during the POLDER-2 lifetime between April and October 2003. We have first compared the POLDER derived aerosol optical thickness (AOT) with integrated volume size distribution derived from ground-based Sun Photometer observations. The good correlation (R=0.72) with sub-micron volume fraction indicates that POLDER derived AOT is sensitive to the fine aerosol mass concentration. Considering 1974 match-up data points over 28 fine particle monitoring sites, the POLDER-2 derived AOT is fairly well correlated with collocated PM2.5 measurements, with a correlation coefficient of 0.55. The correlation coefficient reaches a maximum of 0.80 for particular sites. We have analyzed the probability to find an appropriate air quality category (AQC) as defined by U.S. Environmental Protection Agency (EPA) from POLDER-2 AOT measurements. The probability can be up to 88.8% (±3.7%) for the "Good" AQC and 89.1% (±3.6%) for the "Moderate" AQC.

scholarly journals Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data

2006 ◽  
Vol 6 (4) ◽  
pp. 6299-6316 ◽  
Author(s):  
M. Kacenelenbogen ◽  
J.-F. Léon ◽  
I. Chiapello ◽  
D. Tanré
Keyword(s):  
Correlation Coefficient ◽  
Optical Thickness ◽  
Environmental Protection Agency ◽  
Fine Particle ◽  
Mass Concentration ◽  
Volume Fraction ◽  
Aerosol Optical Thickness ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Data Points

Abstract. We analyze the relationship between daily fine particle mass concentration (PM2.5) and columnar aerosol optical thickness derived from the Polarization and Directionality of Earth's Reflectances (POLDER) satellite sensor. The study is focused over France during the POLDER-2 lifetime between April and October 2003. We have first compared the POLDER derived aerosol optical thickness (AOT) with integrated volume size distribution derived from ground-based Sun Photometer observations. The good correlation (R=0.72) with sub-micron volume fraction indicates that POLDER derived AOT is sensitive to the fine aerosol mass concentration. Considering 1974 match-up data points over 28 fine particle monitoring sites, the POLDER-2 derived AOT is fairly well correlated with collocated PM2.5 measurements, with a correlation coefficient of 0.55. The correlation coefficient reaches a maximum of 0.80 for particular sites. We have analyzed the probability to find an appropriate air quality category (AQC) as defined by the U.S. Environmental Protection Agency (EPA) from POLDER-2 AOT measurements. The probability can be up to 88.8% (±3.7%) for the "Good'' AQC and 89.1% (±3.6%) for the "Moderate'' AQC.

Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China

2017 ◽  
Vol 170 ◽  
pp. 290-302 ◽  
Author(s):  
Xing Yan ◽  
Wenzhong Shi ◽  
Zhanqing Li ◽  
Zhengqiang Li ◽  
Nana Luo ◽  
...  
Keyword(s):  
Optical Thickness ◽  
Aerosol Optical Thickness ◽  
Fine Mode ◽  
Fine Mode Aerosol

scholarly journals Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget

2007 ◽  
Vol 7 (19) ◽  
pp. 5061-5079 ◽  
Author(s):  
A. Lauer ◽  
V. Eyring ◽  
J. Hendricks ◽  
P. Jöckel ◽  
U. Lohmann
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Optical Thickness ◽  
Emission Inventory ◽  
Cloud Microphysics ◽  
Number Concentration ◽  
Climate Impacts ◽  
Aerosol Optical Thickness ◽  
Radiation Budget ◽  
International Shipping

Abstract. International shipping contributes significantly to the fuel consumption of all transport related activities. Specific emissions of pollutants such as sulfur dioxide (SO2) per kg of fuel emitted are higher than for road transport or aviation. Besides gaseous pollutants, ships also emit various types of particulate matter. The aerosol impacts the Earth's radiation budget directly by scattering and absorbing the solar and thermal radiation and indirectly by changing cloud properties. Here we use ECHAM5/MESSy1-MADE, a global climate model with detailed aerosol and cloud microphysics to study the climate impacts of international shipping. The simulations show that emissions from ships significantly increase the cloud droplet number concentration of low marine water clouds by up to 5% to 30% depending on the ship emission inventory and the geographic region. Whereas the cloud liquid water content remains nearly unchanged in these simulations, effective radii of cloud droplets decrease, leading to cloud optical thickness increase of up to 5–10%. The sensitivity of the results is estimated by using three different emission inventories for present-day conditions. The sensitivity analysis reveals that shipping contributes to 2.3% to 3.6% of the total sulfate burden and 0.4% to 1.4% to the total black carbon burden in the year 2000 on the global mean. In addition to changes in aerosol chemical composition, shipping increases the aerosol number concentration, e.g. up to 25% in the size range of the accumulation mode (typically >0.1 μm) over the Atlantic. The total aerosol optical thickness over the Indian Ocean, the Gulf of Mexico and the Northeastern Pacific increases by up to 8–10% depending on the emission inventory. Changes in aerosol optical thickness caused by shipping induced modification of aerosol particle number concentration and chemical composition lead to a change in the shortwave radiation budget at the top of the atmosphere (ToA) under clear-sky condition of about −0.014 W/m² to −0.038 W/m² for a global annual average. The corresponding all-sky direct aerosol forcing ranges between −0.011 W/m² and −0.013 W/m². The indirect aerosol effect of ships on climate is found to be far larger than previously estimated. An indirect radiative effect of −0.19 W/m² to −0.60 W/m² (a change in the atmospheric shortwave radiative flux at ToA) is calculated here, contributing 17% to 39% of the total indirect effect of anthropogenic aerosols. This contribution is high because ship emissions are released in regions with frequent low marine clouds in an otherwise clean environment. In addition, the potential impact of particulate matter on the radiation budget is larger over the dark ocean surface than over polluted regions over land.

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