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
Volume 9, issue 8 | Copyright
Geosci. Model Dev., 9, 2893-2908, 2016
https://doi.org/10.5194/gmd-9-2893-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 26 Aug 2016

Methods for assessment of models | 26 Aug 2016

EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06)

Sergey Skachko et al.
Related authors
Harmonisation and diagnostics of MIPAS ESA CH4 and N2O profiles using data assimilation
Quentin Errera, Simone Ceccherini, Yves Christophe, Simon Chabrillat, Michaela I. Hegglin, Alyn Lambert, Richard Ménard, Piera Raspollini, Sergey Skachko, Michiel van Weele, and Kaley A. Walker
Atmos. Meas. Tech., 9, 5895-5909, https://doi.org/10.5194/amt-9-5895-2016,https://doi.org/10.5194/amt-9-5895-2016, 2016
Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model
S. Skachko, Q. Errera, R. Ménard, Y. Christophe, and S. Chabrillat
Geosci. Model Dev., 7, 1451-1465, https://doi.org/10.5194/gmd-7-1451-2014,https://doi.org/10.5194/gmd-7-1451-2014, 2014
Related subject area
Numerical Methods
A conservative reconstruction scheme for the interpolation of extensive quantities in the Lagrangian particle dispersion model FLEXPART
Sabine Hittmeir, Anne Philipp, and Petra Seibert
Geosci. Model Dev., 11, 2503-2523, https://doi.org/10.5194/gmd-11-2503-2018,https://doi.org/10.5194/gmd-11-2503-2018, 2018
Automated model optimisation using the Cylc workflow engine (Cyclops v1.0)
Richard M. Gorman and Hilary J. Oliver
Geosci. Model Dev., 11, 2153-2173, https://doi.org/10.5194/gmd-11-2153-2018,https://doi.org/10.5194/gmd-11-2153-2018, 2018
Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models
David J. Gardner, Jorge E. Guerra, François P. Hamon, Daniel R. Reynolds, Paul A. Ullrich, and Carol S. Woodward
Geosci. Model Dev., 11, 1497-1515, https://doi.org/10.5194/gmd-11-1497-2018,https://doi.org/10.5194/gmd-11-1497-2018, 2018
A fully consistent and conservative vertically adaptive coordinate system for SLIM 3D v0.4 with an application to the thermocline oscillations of Lake Tanganyika
Philippe Delandmeter, Jonathan Lambrechts, Vincent Legat, Valentin Vallaeys, Jaya Naithani, Wim Thiery, Jean-François Remacle, and Eric Deleersnijder
Geosci. Model Dev., 11, 1161-1179, https://doi.org/10.5194/gmd-11-1161-2018,https://doi.org/10.5194/gmd-11-1161-2018, 2018
faSavageHutterFOAM 1.0: Depth-integrated simulation of dense snow avalanches on natural terrain with OpenFOAM
Matthias Rauter, Andreas Kofler, Andreas Huber, and Wolfgang Fellin
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-67,https://doi.org/10.5194/gmd-2018-67, 2018
Revised manuscript accepted for GMD
Cited articles
Anderson, E. and Järvinen, H.: Variational quality control, Q. J. Roy. Meteor. Soc., 125, 697–722, https://doi.org/10.1002/qj.49712555416, 1999.
Anderson, J. L.: Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation, Mon. Weather Rev., 140, 2359–2371, https://doi.org/10.1175/MWR-D-11-00013.1, 2012.
Bocquet, M., Elbern, H., Eskes, H., Hirtl, M., vZabkar, R., Carmichael, G. R., Flemming, J., Inness, A., Pagowski, M., Pérez Camaño, J. L., Saide, P. E., San Jose, R., Sofiev, M., Vira, J., Baklanov, A., Carnevale, C., Grell, G., and Seigneur, C.: Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models, Atmos. Chem. Phys., 15, 5325–5358, https://doi.org/10.5194/acp-15-5325-2015, 2015.
Brasseur, G. and Solomon, S.: Aeronomy of the middle atmosphere: chemistry and physics of the stratosphere and mesosphere, Springer Netherlands, Dordrecht, Reidel, https://doi.org/10.1007/1-4020-3824-0, 1986, 2005.
Publications Copernicus
Download
Short summary
In the present work, we performed a comparison of two broadly used data assimilation algorithms, 4D-Var and EnKF, applied to a state-of-the-art atmospheric chemistry transport model. The comparison is carried out using carefully calibrated error statistics. The paper discusses the advantages and disadvantages of each method applied to real-life conditions of a numerical atmospheric chemistry data assimilation.
In the present work, we performed a comparison of two broadly used data assimilation algorithms,...
Citation
Share