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ACP | Articles | Volume 20, issue 18
Atmos. Chem. Phys., 20, 11161–11180, 2020
https://doi.org/10.5194/acp-20-11161-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 11161–11180, 2020
https://doi.org/10.5194/acp-20-11161-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 Sep 2020

Research article | 29 Sep 2020

A dedicated flask sampling strategy developed for Integrated Carbon Observation System (ICOS) stations based on CO2 and CO measurements and Stochastic Time-Inverted Lagrangian Transport (STILT) footprint modelling

Ingeborg Levin et al.

Data sets

ICOS Atmospheric Greenhouse Gas Mole Fractions of CO2, CH4, CO, 14CO2 and Meteorological Observations September 2015-April 2019 for 19 stations (49 vertical levels), final quality controlled Level 2 data ICOS RI https://doi.org/10.18160/CE2R-CC91

Model code and software

Jupyter Notebook for ICOS Flask Sampling Strategy (Version 1.0) U. Karstens https://doi.org/10.18160/FSS2-SH26

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Short summary
Based on observations and Stochastic Time-Inverted Lagrangian Transport (STILT) footprint modelling, a sampling strategy has been developed for tall tower stations of the Integrated Carbon Observation System (ICOS) research infrastructure atmospheric station network. This strategy allows independent quality control of in situ measurements, provides representative coverage of the influence area of the sites, and is capable of automated targeted sampling of fossil fuel CO2 emission hotspots.
Based on observations and Stochastic Time-Inverted Lagrangian Transport (STILT) footprint...
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