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Keywords = Plateau Rosa station

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20 pages, 3930 KiB  
Article
Application of a Common Methodology to Select in Situ CO2 Observations Representative of the Atmospheric Background to an Italian Collaborative Network
by Pamela Trisolino, Alcide di Sarra, Damiano Sferlazzo, Salvatore Piacentino, Francesco Monteleone, Tatiana Di Iorio, Francesco Apadula, Daniela Heltai, Andrea Lanza, Antonio Vocino, Luigi Caracciolo di Torchiarolo, Paolo Bonasoni, Francescopiero Calzolari, Maurizio Busetto and Paolo Cristofanelli
Atmosphere 2021, 12(2), 246; https://doi.org/10.3390/atmos12020246 - 12 Feb 2021
Cited by 5 | Viewed by 3492
Abstract
We describe and implement a data selection algorithm aimed at identifying background atmospheric CO2 observations from in situ continuous measurements. Several selection criteria for detecting the background data have been developed and are currently used: the main objective of this work was [...] Read more.
We describe and implement a data selection algorithm aimed at identifying background atmospheric CO2 observations from in situ continuous measurements. Several selection criteria for detecting the background data have been developed and are currently used: the main objective of this work was to define a common methodology to extract the atmospheric background signal minimizing heterogeneities due to the use of different selection algorithms. The algorithm used in this study, (BaDS, Background Data Selection) was tested and optimized using data (from 2014 to 2018) from four Italian stations characterized by markedly different environmental conditions (i.e., mountain, coastal and marine): Plateau Rosa (PRS), Mt. Cimone (CMN), Capo Granitola (CGR) and Lampedusa (LMP). Their locations extend from the Alps to the central Mediterranean. The adopted algorithm proved to be effective in separating the local/regional from the background signal in the CO2 time series. About 6% of the data at LMP, 11% at PRS, 20–38% at CMN and 65% at CGR were identified as non-background. LMP and PRS can be used as reference sites for the central Mediterranean, while CMN and CGR were more impacted by regional sources and sinks. Finally, we discuss a possible application of BaDS screened data. Full article
(This article belongs to the Section Air Quality)
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21 pages, 5639 KiB  
Article
Thirty Years of Atmospheric CO2 Observations at the Plateau Rosa Station, Italy
by Francesco Apadula, Claudio Cassardo, Silvia Ferrarese, Daniela Heltai and Andrea Lanza
Atmosphere 2019, 10(7), 418; https://doi.org/10.3390/atmos10070418 - 20 Jul 2019
Cited by 24 | Viewed by 6988
Abstract
The atmospheric background CO2 concentration is a key quantity for the analysis and evaluation of the ongoing climate change. Long-term CO2 observations have been carried out at the high Plateau Rosa mountain station, in the north-western Alps since 1989. The complete [...] Read more.
The atmospheric background CO2 concentration is a key quantity for the analysis and evaluation of the ongoing climate change. Long-term CO2 observations have been carried out at the high Plateau Rosa mountain station, in the north-western Alps since 1989. The complete time series covers thirty years, and it is suitable for climatological analysis. The continuous CO2 measurements, collected since 1993, were selected, by means of a BaDS (Background Data Selection) filter, to obtain the hourly background data. The monthly background data series was analysed in order to individuate the parameters that characterise the seasonal cycle and the long-term trend. The growth rate was found to be 2.05 ± 0.03 ppm/year, which is in agreement with the global trend. The increased background CO2 concentration at the Plateau Rosa site is the consequence of global anthropic emissions, whereas the natural variability of the climatic system taken from the SOI (South Oscillation Index) and MEI (Multivariate ENSO Index) signals was detected in the inter-annual changes of the Plateau Rosa growth rate. Full article
(This article belongs to the Special Issue High Altitude Site Observations of the Atmospheric Chemical Composition)
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