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Atmospheric Particles-Equivalent Black Carbon MAAP (2016)

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Measurements of equivalent black carbon in Ispra, Italy.

Contributors

How to cite

Martins dos Santos, Sebastiao (2026): Atmospheric Particles-Equivalent Black Carbon MAAP (2016). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.8TFQS1G PID: http://data.europa.eu/89h/jrc-abcis-ap-ebcma-2016

Keywords

Air pollutionAir qualityClimate ChangeEMEP

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Unvalidated 10 min averages in UTC time-base of black carbon equivalent [µg/m³] - EBC (670 nm).

Publications

Publication
Putaud J, Cavalli F, Martins Dos Santos S, Dell`Acqua A. Long term trends in aerosol optical characteristics in the Po Valley, Italy. ATMOSPHERIC CHEMISTRY AND PHYSICS 14 (17); 2014. p. 9129 - 9136. JRC87490
COPERNICUS GESELLSCHAFT MBH, GOTTINGEN, GERMANY
  • Aerosol properties have been monitored by ground-based in situ and remote sensing measurements at the station for atmospheric research located in Ispra, on the edge of the Po Valley, for almost one decade. In situ measurements are performed according to Global Atmosphere Watch recommendations, and quality is assured through the participation in regular inter-laboratory comparisons. Sunphotometer data are produced by the Aerosol Robotic Network (AERONET). Data show significant decreasing trends over the 2004–2010 period for a number of variables, including particulate matter (PM) mass concentration, aerosol scattering, backscattering and absorption coefficients, and aerosol optical thickness (AOT). In situ measurement data show no significant trends in the aerosol backscatter ratio, but they do show a significant decreasing trend of about −0.7±0.3%yr−1 in the aerosol single scattering albedo

    (SSA) in the visible light range. Similar trends are observed in the SSA retrieved from sun-photometer measurements.

    Correlations appear between in situ PM mass concentration and aerosol scattering coefficient, on the one hand, and elemental

    carbon (EC) concentration and aerosol absorption coefficient, on the other hand. However, no increase in the EC /PM ratio was observed, which could have explained the decrease in SSA. The application of a simple approximation to calculate the direct radiative forcing by aerosols suggests a significant diminution in their cooling effect, mainly due to the decrease in AOT. Applying the methodology we present

    to those sites, where the necessary suite of measurements is available, would provide important information to inform future policies for air-quality enhancement and fast climate change mitigation.

Temporal coverage

From date To date
2016-01-01 2016-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jean.putaud (at) ec.europa.eu
Update frequency
continuous

The item is updated more frequent than daily.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2016-01-01
Created date
14 Dec 2018 10:39
Modified date
20 Dec 2018 10:48
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Dataset identifier
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