A Framework for the Datasets of CRDS CO2 and CH4 Stable Carbon Isotope Measurements in the Atmosphere

Accessible datasets of greenhouse gas (GHG) concentrations help define long-term trends on a global scale and also provide significant information on the characteristic variability of emission sources and sinks. The integration of stable carbon isotope measurements of carbon dioxide (CO2) and methane (CH4) can significantly increase the accuracy and reliability of source apportionment efforts, due to the isotopic fractionation processes and fingerprint that characterize each mechanism. Via isotopic parameters such as δ13C, the ratio of 13C to 12C compared to an international standard (VPDB, Vienna Pee Dee Belemnite), it is in fact possible to discriminate, for example, between thermogenic and microbial sources of CH4, thus ensuring a more detailed understanding of global balances. A number of stations within the Italian consortium of atmospheric observation sites have been equipped with Picarro G2201-i CRDS (Cavity Ring-Down Spectrometry) analyzers capable of measuring the stable carbon isotopic ratios of CO2 and CH4, reported as δ13C-CO2 and δ13C-CO2, respectively. The first dataset (Lamezia Terme, Calabria region) of the consortium resulting from these measurements was released, and a second dataset (Potenza, Basilicata region) from another station was also released, relying on the same format to effectively standardize these new types of datasets. This work provides details on the data, format, and methods used to generate these products and describes a framework for the format and processing of similar data products based on CRD spectroscopy.

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Published
2025-09-22
DOI
https://doi.org/10.3390/data10090150
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1
Primary Topic
Atmospheric and Environmental Gas Dynamics
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article
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1.11
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article

A Framework for the Datasets of CRDS CO2 and CH4 Stable Carbon Isotope Measurements in the Atmosphere

Claudia Roberta Calidonna, Teresa Lo Feudo, Daniel Gullì, Ivano Ammoscato et al.
1 citations
Data
Atmospheric and Environmental Gas Dynamics
1.11
article

A Framework for the Datasets of CRDS CO2 and CH4 Stable Carbon Isotope Measurements in the Atmosphere

Claudia Roberta Calidonna, Teresa Lo Feudo, Daniel Gullì, Ivano Ammoscato, Luana Malacaria, Francesco D’Amico, Salvatore Sinopoli, Giorgia De Benedetto
article en
1 citations

Abstract

Accessible datasets of greenhouse gas (GHG) concentrations help define long-term trends on a global scale and also provide significant information on the characteristic variability of emission sources and sinks. The integration of stable carbon isotope measurements of carbon dioxide (CO2) and methane (CH4) can significantly increase the accuracy and reliability of source apportionment efforts, due to the isotopic fractionation processes and fingerprint that characterize each mechanism. Via isotopic parameters such as δ13C, the ratio of 13C to 12C compared to an international standard (VPDB, Vienna Pee Dee Belemnite), it is in fact possible to discriminate, for example, between thermogenic and microbial sources of CH4, thus ensuring a more detailed understanding of global balances. A number of stations within the Italian consortium of atmospheric observation sites have been equipped with Picarro G2201-i CRDS (Cavity Ring-Down Spectrometry) analyzers capable of measuring the stable carbon isotopic ratios of CO2 and CH4, reported as δ13C-CO2 and δ13C-CO2, respectively. The first dataset (Lamezia Terme, Calabria region) of the consortium resulting from these measurements was released, and a second dataset (Potenza, Basilicata region) from another station was also released, relying on the same format to effectively standardize these new types of datasets. This work provides details on the data, format, and methods used to generate these products and describes a framework for the format and processing of similar data products based on CRD spectroscopy.

DataVol. 10(9)
Institute of Atmospheric Sciences and Climate (IT), University of Calabria (IT)
Openalex Percentile: Top 19%
Atmospheric and Environmental Gas Dynamics
1.11
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