Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO&lt;sub&gt;2&lt;/sub&gt; data and its application to European elevated mountain stations

Titel:: Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO< sub> 2< /sub> data and its application to European elevated mountain stations
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Yuan, Ye; Ries, Ludwig; Petermeier, Hannes; Steinbacher, Martin; Gómez-Peláez, Angel J.; Leuenberger, Markus C.; Schumacher, Marcus; Trickl, Thomas; Couret, Cedric; Meinhardt, Frank; Menzel, Annette
Zeitschriftentitel:: Atmospheric Measurement Techniques
Jahr:: 2018
Band / Volume:: 11
Heft / Issue:: 3
Seitenangaben Beitrag:: 1501-1514
Volltext / DOI:: doi:10.5194/amt-11-1501-2018
Verlag / Institution:: Copernicus GmbH
E-ISSN:: 1867-8548
Publikationsdatum:: 15.03.2018
BibTeX

Adaptive selection of diurnal minimum variation: a statistical strategy to obtain representative atmospheric CO&lt; sub&gt; 2&lt; /sub&gt; data and its application to European elevated mountain stations