Identifying trend reversals in atmospheric ethane from a multi-site analysis
Artikel i vetenskaplig tidskrift, 2026
Atmospheric ethane
Nonparametric trend analysis
FTIR remote sensing
Kalman filter
Författare
Marina Friedrich
Vrije Universiteit Amsterdam
Tinbergen Institute - TI
Siem Jan Koopman
Vrije Universiteit Amsterdam
Tinbergen Institute - TI
Yicong Lin
Tinbergen Institute - TI
Vrije Universiteit Amsterdam
E. Mahieu
Universite de Liège
Stephan Smeekes
Universiteit Maastricht
M. De Maziere
Belgian Institute for Space Aeronomy (BIRA-IASB)
Victoria A. Flood
University of Toronto
Matthias Max Frey
Karlsruher Institut für Technologie (KIT)
M. Grutter
Universidad Nacional Autónoma de México
J. W. Hannigan
National Center for Atmospheric Research
F. Hase
Karlsruher Institut für Technologie (KIT)
N. Jones
University of Wollongong
Rigel Kivi
Finnish Meteorological Institute
M. V. Makarova
Saint Petersburg State University - Spsu
Isamu Morino
National Institute for Environmental Studies of Japan
Isao Murata
Tohoku University
Tomoo Nagahama
Nagoya University
J. Notholt
Universität Bremen
Ivan Ortega
National Center for Atmospheric Research
Maxime Prignon
Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys
Amelie N. Röhling
Karlsruher Institut für Technologie (KIT)
Dan Smale
National Institute of Water and Atmospheric Research (NIWA)
K. Strong
University of Toronto
Yao Té
Université Pierre et Marie Curie (UPMC)
Minqiang Zhou
Chinese Academy of Sciences
Climatic Change
0165-0009 (ISSN) 1573-1480 (eISSN)
Vol. 179 4 66Ämneskategorier (SSIF 2025)
Naturgeografi
DOI
10.1007/s10584-026-04153-0