Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jennifer Müller-Williams"'
Autor:
Peter Bergamaschi, Arjo Segers, Dominik Brunner, Jean-Matthieu Haussaire, Stephan Henne, Michel Ramonet, Tim Arnold, Tobias Biermann, Huilin Chen, Sebastien Conil, Marc Delmotte, Grant Forster, Arnoud Frumau, Dagmar Kubistin, Xin Lan, Markus Leuenberger, Matthias Lindauer, Morgan Lopez, Giovanni Manca, Jennifer Müller-Williams, Simon O'Doherty, Bert Scheeren, Martin Steinbacher, Pamela Trisolino, Gabriela Vítková, Camille Yver Kwok
Publikováno v:
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, 2022, 22, pp.13243-13268. ⟨10.5194/acp-22-13243-2022⟩
Atmospheric Chemistry and Physics, 22(20), 13243-13268. COPERNICUS GESELLSCHAFT MBH
Bergamaschi, P, Segers, A, Brunner, D, Haussaire, J, Henne, S, Ramonet, M, Arnold, T, Biermann, T, Chen, H, Conil, S, Delmotte, M, Forster, G, Frumau, A, Kubistin, D, Lan, X, Leuenberger, M, Lindauer, M, Lopez, M, Manca, G, Müller-williams, J, O'doherty, S, Scheeren, B, Steinbacher, M, Trisolino, P, Vítková, G & Yver Kwok, C 2022, ' High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system ', Atmospheric Chemistry and Physics, vol. 22, no. 20, pp. 13243-13268 . https://doi.org/10.5194/acp-22-13243-2022
Atmospheric Chemistry and Physics, 2022, 22, pp.13243-13268. ⟨10.5194/acp-22-13243-2022⟩
Atmospheric Chemistry and Physics, 22(20), 13243-13268. COPERNICUS GESELLSCHAFT MBH
Bergamaschi, P, Segers, A, Brunner, D, Haussaire, J, Henne, S, Ramonet, M, Arnold, T, Biermann, T, Chen, H, Conil, S, Delmotte, M, Forster, G, Frumau, A, Kubistin, D, Lan, X, Leuenberger, M, Lindauer, M, Lopez, M, Manca, G, Müller-williams, J, O'doherty, S, Scheeren, B, Steinbacher, M, Trisolino, P, Vítková, G & Yver Kwok, C 2022, ' High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system ', Atmospheric Chemistry and Physics, vol. 22, no. 20, pp. 13243-13268 . https://doi.org/10.5194/acp-22-13243-2022
We present a novel high-resolution inverse modelling system (“FLEXVAR”) based on FLEXPART-COSMO back trajectories driven by COSMO meteorological fields at 7 km×7 km resolution over the European COSMO-7 domain and the four-dimensional variational
Autor:
Peter Bergamaschi, Arjo Segers, Dominik Brunner, Jean-Matthieu Haussaire, Stephan Henne, Michel Ramonet, Tim Arnold, Tobias Biermann, Huilin Chen, Sebastien Conil, Marc Delmotte, Grant Forster, Arnoud Frumau, Dagmar Kubistin, Xin Lan, Markus Leuenberger, Matthias Lindauer, Morgan Lopez, Giovanni Manca, Jennifer Müller-Williams, Simon O’Doherty, Bert Scheeren, Martin Steinbacher, Pamela Trisolino, Gabriela Vítková, Camille Yver Kwok
We present a novel high-resolution inverse modelling system ("FLEXVAR") based on FLEXPART-COSMO back trajectories driven by COSMO meteorological fields at 7 km × 7 km resolution over the European COSMO-7 domain and the four-dimensional variational (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f0429661c082220576f6afc430ad7f
https://doi.org/10.5194/acp-2022-118
https://doi.org/10.5194/acp-2022-118
Autor:
Peter Bergamaschi, Arjo Segers, Dominik Brunner, Jean-Matthieu Haussaire, Stephan Henne, Michel Ramonet, Tim Arnold, Tobias Biermann, Huilin Chen, Sebastien Conil, Marc Delmotte, Grant Forster, Arnoud Frumau, Dagmar Kubistin, Xin Lan, Markus Leuenberger, Matthias Lindauer, Morgan Lopez, Giovanni Manca, Jennifer Müller-Williams, Simon O’Doherty, Bert Scheeren, Martin Steinbacher, Pamela Trisolino, Gabriela Vítková, Camille Yver Kwok
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4664140fd95c5dcea6ab27f2aabdaf8f
https://doi.org/10.5194/acp-2022-118-supplement
https://doi.org/10.5194/acp-2022-118-supplement
Autor:
Michal Heliasz, Michel Ramonet, Richard Engelen, Philippe Ciais, Martin Steinbacher, Jérôme Tarniewicz, L. Rivier, Dagmar Kubistin, Ivan Mammarella, Sébastien Conil, Meelis Mölder, Alex Resovsky, Jennifer Müller-Williams, Matthias Lindauer
Publikováno v:
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques, 2021, 14 (9), pp.6119-6135. ⟨10.5194/amt-14-6119-2021⟩
Atmospheric Measurement Techniques, European Geosciences Union, 2021, 14 (9), pp.6119-6135. ⟨10.5194/amt-14-6119-2021⟩
Atmospheric Measurement Techniques, Vol 14, Pp 6119-6135 (2021)
Atmospheric Measurement Techniques, 2021, 14 (9), pp.6119-6135. ⟨10.5194/amt-14-6119-2021⟩
Atmospheric Measurement Techniques, European Geosciences Union, 2021, 14 (9), pp.6119-6135. ⟨10.5194/amt-14-6119-2021⟩
Atmospheric Measurement Techniques, Vol 14, Pp 6119-6135 (2021)
We present a statistical framework to identify regional signals in station-based CO2 time series with minimal local influence. A curve-fitting function is first applied to the detrended time series to derive a harmonic describing the annual CO2 cycle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26a029abaaa7217baf02754799614c53
https://amt.copernicus.org/preprints/amt-2021-16/
https://amt.copernicus.org/preprints/amt-2021-16/