Quality-controlled total column GHG time series in ATC format
Calibration scale WMOX2017.
Retrieval Algorithm: Proffast 2.4, GGG2020 Profiles.
Data Processing Pipeline: https://github.com/tum-esm/em27-retrieval-pipeline
Documentation: https://doi.org/10.5194/amt-11-2173-2018 https://doi.org/10.5194/amt-14-1111-2021 https://doi.org/10.21105/joss.05131 https://doi.org/10.5281/zenodo.14284968
@misc{https://doi.org/10.18160/f19d-dn79,
doi = {10.18160/F19D-DN79},
url = {https://citymeta.icos-cp.eu/collections/_gw1SA37USG80FZxMPgReMDo},
author = {Makowski, Moritz and Chen, Jia and Luther, Andreas and Klappenbach, Friedrich and Stauber, Josef and Li, Junwei},
keywords = {EM27/SUN, XCO2, XCO, Urban, MUCCnet, Munich, ICOS Cities PAUL, COCCON},
title = {ICOS Cities Total Column CO2/CO observations using EM27/SUN FTIR Spectrometers at 5 locations in Munich, Germany (2022-12-01 - 2024-11-30, Level 2)},
publisher = {ICOS ERIC -- Carbon Portal},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
TY - GEN T1 - ICOS Cities Total Column CO2/CO observations using EM27/SUN FTIR Spectrometers at 5 locations in Munich, Germany (2022-12-01 - 2024-11-30, Level 2) AU - Makowski, Moritz AU - Chen, Jia AU - Luther, Andreas AU - Klappenbach, Friedrich AU - Stauber, Josef AU - Li, Junwei DO - 10.18160/F19D-DN79 UR - https://citymeta.icos-cp.eu/collections/_gw1SA37USG80FZxMPgReMDo AB - Calibration scale WMOX2017. Retrieval Algorithm: Proffast 2.4, GGG2020 Profiles. Data Processing Pipeline: https://github.com/tum-esm/em27-retrieval-pipeline Documentation: https://doi.org/10.5194/amt-11-2173-2018 https://doi.org/10.5194/amt-14-1111-2021 https://doi.org/10.21105/joss.05131 https://doi.org/10.5281/zenodo.14284968 KW - EM27/SUN KW - XCO2 KW - XCO KW - Urban KW - MUCCnet KW - Munich KW - ICOS Cities PAUL KW - COCCON PY - 2024 PB - ICOS ERIC -- Carbon Portal ER -
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PAUL, Pilot Applications in Urban Landscapes - Towards integrated city observatories for greenhouse gases (ICOS Cities), has received funding
from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 101037319.