Jupyter Notebook for ICOS flask sampling strategy

DOI: 10.18160/FSS2-SH26

Access URL: RINGO_T1.3_flasksampling_v5.ipynb

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Version: 1.0

Description: Jupyter Notebook for evaluation of flask sampling strategies for (1) quality control for in situ observations, (2) representative information on atmospheric components currently not monitored in situ at the stations, (3) samples for 14CO2 analysis that are significantly influenced by fossil fuel CO2 (ffCO2) emission areas. Evaluation of sampling strategies is based on STILT footprints and ICOS measurement data.

The notebook supports the analysis presented in the paper:

Levin, I., Karstens, U., Eritt, M., Maier, F., Arnold, S., Rzesanke, D., Hammer, S., Ramonet, M., Vítková, G., Conil, S., Heliasz, M., Kubistin, D., and Lindauer, M.: 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, Atmos. Chem. Phys., https://doi.org/10.5194/acp-20-11161-2020, 2020.