Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
GMD | Articles | Volume 11, issue 8
Geosci. Model Dev., 11, 3515-3536, 2018
https://doi.org/10.5194/gmd-11-3515-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 3515-3536, 2018
https://doi.org/10.5194/gmd-11-3515-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 30 Aug 2018

Model description paper | 30 Aug 2018

CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations

Wei He et al.
Related authors  
Reviews and syntheses: Carbonyl sulfide as a multi-scale tracer for carbon and water cycles
Mary E. Whelan, Sinikka T. Lennartz, Teresa E. Gimeno, Richard Wehr, Georg Wohlfahrt, Yuting Wang, Linda M. J. Kooijmans, Timothy W. Hilton, Sauveur Belviso, Philippe Peylin, Róisín Commane, Wu Sun, Huilin Chen, Le Kuai, Ivan Mammarella, Kadmiel Maseyk, Max Berkelhammer, King-Fai Li, Dan Yakir, Andrew Zumkehr, Yoko Katayama, Jérôme Ogée, Felix M. Spielmann, Florian Kitz, Bharat Rastogi, Jürgen Kesselmeier, Julia Marshall, Kukka-Maaria Erkkilä, Lisa Wingate, Laura K. Meredith, Wei He, Rüdiger Bunk, Thomas Launois, Timo Vesala, Johan A. Schmidt, Cédric G. Fichot, Ulli Seibt, Scott Saleska, Eric S. Saltzman, Stephen A. Montzka, Joseph A. Berry, and J. Elliott Campbell
Biogeosciences, 15, 3625-3657, https://doi.org/10.5194/bg-15-3625-2018,https://doi.org/10.5194/bg-15-3625-2018, 2018
Short summary
The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015
Ingrid T. van der Laan-Luijkx, Ivar R. van der Velde, Emma van der Veen, Aki Tsuruta, Karolina Stanislawska, Arne Babenhauserheide, Hui Fang Zhang, Yu Liu, Wei He, Huilin Chen, Kenneth A. Masarie, Maarten C. Krol, and Wouter Peters
Geosci. Model Dev., 10, 2785-2800, https://doi.org/10.5194/gmd-10-2785-2017,https://doi.org/10.5194/gmd-10-2785-2017, 2017
Short summary
Related subject area  
Atmospheric Sciences
The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1
Sandra L. LeGrand, Chris Polashenski, Theodore W. Letcher, Glenn A. Creighton, Steven E. Peckham, and Jeffrey D. Cetola
Geosci. Model Dev., 12, 131-166, https://doi.org/10.5194/gmd-12-131-2019,https://doi.org/10.5194/gmd-12-131-2019, 2019
Short summary
Global tropospheric effects of aromatic chemistry with the SAPRC-11 mechanism implemented in GEOS-Chem version 9-02
Yingying Yan, David Cabrera-Perez, Jintai Lin, Andrea Pozzer, Lu Hu, Dylan B. Millet, William C. Porter, and Jos Lelieveld
Geosci. Model Dev., 12, 111-130, https://doi.org/10.5194/gmd-12-111-2019,https://doi.org/10.5194/gmd-12-111-2019, 2019
Short summary
Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1
Guy P. Brasseur, Ying Xie, Anna Katinka Petersen, Idir Bouarar, Johannes Flemming, Michael Gauss, Fei Jiang, Rostislav Kouznetsov, Richard Kranenburg, Bas Mijling, Vincent-Henri Peuch, Matthieu Pommier, Arjo Segers, Mikhail Sofiev, Renske Timmermans, Ronald van der A, Stacy Walters, Jianming Xu, and Guangqiang Zhou
Geosci. Model Dev., 12, 33-67, https://doi.org/10.5194/gmd-12-33-2019,https://doi.org/10.5194/gmd-12-33-2019, 2019
Short summary
TPVTrack v1.0: a watershed segmentation and overlap correspondence method for tracking tropopause polar vortices
Nicholas Szapiro and Steven Cavallo
Geosci. Model Dev., 11, 5173-5187, https://doi.org/10.5194/gmd-11-5173-2018,https://doi.org/10.5194/gmd-11-5173-2018, 2018
Short summary
From climatological to small-scale applications: simulating water isotopologues with ICON-ART-Iso (version 2.3)
Johannes Eckstein, Roland Ruhnke, Stephan Pfahl, Emanuel Christner, Christopher Diekmann, Christoph Dyroff, Daniel Reinert, Daniel Rieger, Matthias Schneider, Jennifer Schröter, Andreas Zahn, and Peter Braesicke
Geosci. Model Dev., 11, 5113-5133, https://doi.org/10.5194/gmd-11-5113-2018,https://doi.org/10.5194/gmd-11-5113-2018, 2018
Short summary
Cited articles  
Alden, C. B.: Terrestrial carbon cycle responses to drought and climate stress: new insights using atmospheric observations of CO2 and δ13C,  Dissertations & Theses, Gradworks, 167–196, 2013. 
Andersson, E., Kahnert, M., and Devasthale, A.: Methodology for evaluating lateral boundary conditions in the regional chemical transport model MATCH (v5.5.0) using combined satellite and ground-based observations, Geosci. Model Dev., 8, 3747–3763, https://doi.org/10.5194/gmd-8-3747-2015, 2015. 
Andrews, A. E., Kofler, J. D., Trudeau, M. E., Williams, J. C., Neff, D. H., Masarie, K. A., Chao, D. Y., Kitzis, D. R., Novelli, P. C., Zhao, C. L., Dlugokencky, E. J., Lang, P. M., Crotwell, M. J., Fischer, M. L., Parker, M. J., Lee, J. T., Baumann, D. D., Desai, A. R., Stanier, C. O., De Wekker, S. F. J., Wolfe, D. E., Munger, J. W., and Tans, P. P.: CO2, CO, and CH4 measurements from tall towers in the NOAA Earth System Research Laboratory's Global Greenhouse Gas Reference Network: instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts, Atmos. Meas. Tech., 7, 647–687, https://doi.org/10.5194/amt-7-647-2014, 2014. 
Baker, I. T., Prihodko, L., Denning, A. S., Goulden, M., Miller, S., and da Rocha, H. R.: Seasonal drought stress in the Amazon: Reconciling models and observations, J. Geophys. Res.-Biogeo., 113, G00b01, https://doi.org/10.1029/2007jg000644, 2008. 
Publications Copernicus
Download
Short summary
We have implemented a regional, high-resolution, and computationally attractive carbon dioxide data assimilation system. This system, named CTDAS-Lagrange, is capable of simultaneously optimizing terrestrial biosphere fluxes and the lateral boundary conditions. The CTDAS-Lagrange system can be easily extended to assimilate an additional tracer, e.g., carbonyl sulfide (COS or OCS), for regional estimates of both net and gross carbon fluxes.
We have implemented a regional, high-resolution, and computationally attractive carbon dioxide...
Citation
Share