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The CarbonTracker Data Assimilation Shell (CTDAS) v1.0 : Implementation and global carbon balance 2001-2015

Van Der Laan-Luijkx, Ingrid T.; Van Der Velde, Ivar R.; Van Der Veen, Emma; Tsuruta, Aki; Stanislawska, Karolina; Babenhauserheide, Arne 1; Fang Zhang, Hui; Liu, Yu; He, Wei; Chen, Huilin; Masarie, Kenneth A.; Krol, Maarten C.; Peters, Wouter
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)


Data assimilation systems are used increasingly to constrain the budgets of reactive and long-lived gases measured in the atmosphere. Each trace gas has its own lifetime, dominant sources and sinks, and observational network (from flask sampling and in situ measurements to space-based remote sensing) and therefore comes with its own optimal configuration of the data assimilation. The CarbonTracker Europe data assimilation system for CO2 estimates global carbon sources and sinks, and updates are released annually and used in carbon cycle studies. CarbonTracker Europe simulations are performed using the new modular implementation of the data assimilation system: the CarbonTracker Data Assimilation Shell (CTDAS). Here, we present and document this redesign of the data assimilation code that forms the heart of CarbonTracker, specifically meant to enable easy extension and modification of the data assimilation system. This paper also presents the setup of the latest version of CarbonTracker Europe (CTE2016), including the use of the gridded state vector, and shows the resulting carbon flux estimates. We present the distribution of the carbon sinks over the hemispheres and between the land biosphere and the oceans. ... mehr

Volltext §
DOI: 10.5445/IR/1000073025
DOI: 10.5194/gmd-10-2785-2017
Zitationen: 54
Web of Science
Zitationen: 52
Zitationen: 56
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1991-959X, 1991-9603
KITopen-ID: 1000073025
HGF-Programm 12.04.05 (POF III, LK 01) Trends,Variaility,Large-Scale Processes
Erschienen in Geoscientific model development
Verlag Copernicus Publications
Band 10
Heft 7
Seiten 2785-2800
Nachgewiesen in Dimensions
Web of Science
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