Document Type

Article

Publication Date

7-18-2017

Publication Title

Geoscientific Model Development

ISSN

1991-9603

Volume

10

Issue

7

DOI

http://dx.doi.org/10.5194/gmd-10-2785-2017

Abstract

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. We show that with equal fossil fuel emissions, 2015 has a higher atmospheric CO2 growth rate compared to 2014, due to reduced net land carbon uptake in later year. The European carbon sink is especially present in the forests, and the average net uptake over 2001–2015 was 0. 17 ± 0. 11 PgC yr−1 with reductions to zero during drought years. Finally, we also demonstrate the versatility of CTDAS by presenting an overview of the wide range of applications for which it has been used so far.

Comments

Ingrid T. van der Laan-Luijkx1,2, Ivar R. van der Velde3,4,1,5, Emma van der Veen1, Aki Tsuruta6, Karolina Stanislawska7, Arne Babenhauserheide8, Hui Fang Zhang9,10, Yu Liu11, Wei He5,12, Huilin Chen5,4, Kenneth A. Masarie3,a, Maarten C. Krol1,2,13, and Wouter Peters1,5

1Meteorology and Air Quality Group, Wageningen University and Research, Wageningen, the Netherlands 2Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands 3Global Monitoring Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration (NOAA), Boulder, Colorado, USA 4Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Colorado, USA 5Centre for Isotope Research, University of Groningen, Groningen, the Netherlands 6Climate Research, Finnish Meteorological Institute, Helsinki, Finland 7Meteorological Research, Finnish Meteorological Institute, Helsinki, Finland 8IMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany 9State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China 10University of Chinese Academy of Sciences, Beijing, China 11Institute of Biogeochemistry and Pollutant Dynamics (IBP), ETH Zurich, Zurich, Switzerland 12International Institute for Earth System Science, Nanjing University, Nanjing, China 13SRON Netherlands Institute for Space Research, Utrecht, the Netherlands anow at: SkyData Solutions LLC, Boulder, Colorado USA

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

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