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
Volume 7, issue 4
Geosci. Model Dev., 7, 1451-1465, 2014
https://doi.org/10.5194/gmd-7-1451-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 7, 1451-1465, 2014
https://doi.org/10.5194/gmd-7-1451-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 16 Jul 2014

Methods for assessment of models | 16 Jul 2014

Comparison of the ensemble Kalman filter and 4D-Var assimilation methods using a stratospheric tracer transport model

S. 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
Short summary
EnKF and 4D-Var data assimilation with chemical transport model BASCOE (version 05.06)
Sergey Skachko, Richard Ménard, Quentin Errera, Yves Christophe, and Simon Chabrillat
Geosci. Model Dev., 9, 2893-2908, https://doi.org/10.5194/gmd-9-2893-2016,https://doi.org/10.5194/gmd-9-2893-2016, 2016
Short summary
Related subject area  
Atmospheric Sciences
OLYMPUS v1.0: development of an integrated air pollutant and GHG urban emissions model – methodology and calibration over greater Paris
Arthur Elessa Etuman and Isabelle Coll
Geosci. Model Dev., 11, 5085-5111, https://doi.org/10.5194/gmd-11-5085-2018,https://doi.org/10.5194/gmd-11-5085-2018, 2018
Short summary
Two new submodels for the Modular Earth Submodel System (MESSy): New Aerosol Nucleation (NAN) and small ions (IONS) version 1.0
Sebastian Ehrhart, Eimear M. Dunne, Hanna E. Manninen, Tuomo Nieminen, Jos Lelieveld, and Andrea Pozzer
Geosci. Model Dev., 11, 4987-5001, https://doi.org/10.5194/gmd-11-4987-2018,https://doi.org/10.5194/gmd-11-4987-2018, 2018
Concentrations and radiative forcing of anthropogenic aerosols from 1750 to 2014 simulated with the Oslo CTM3 and CEDS emission inventory
Marianne Tronstad Lund, Gunnar Myhre, Amund Søvde Haslerud, Ragnhild Bieltvedt Skeie, Jan Griesfeller, Stephen Matthew Platt, Rajesh Kumar, Cathrine Lund Myhre, and Michael Schulz
Geosci. Model Dev., 11, 4909-4931, https://doi.org/10.5194/gmd-11-4909-2018,https://doi.org/10.5194/gmd-11-4909-2018, 2018
Short summary
A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”)
Dien Wu, John C. Lin, Benjamin Fasoli, Tomohiro Oda, Xinxin Ye, Thomas Lauvaux, Emily G. Yang, and Eric A. Kort
Geosci. Model Dev., 11, 4843-4871, https://doi.org/10.5194/gmd-11-4843-2018,https://doi.org/10.5194/gmd-11-4843-2018, 2018
Short summary
Adaptive Cartesian meshes for atmospheric single-column models: a study using Basilisk 18-02-16
J. Antoon van Hooft, Stéphane Popinet, and Bas J. H. van de Wiel
Geosci. Model Dev., 11, 4727-4738, https://doi.org/10.5194/gmd-11-4727-2018,https://doi.org/10.5194/gmd-11-4727-2018, 2018
Short summary
Cited articles  
Anderson, J. L.: Spatially and temporally varying adaptive covariance inflation for ensemble filters, Tellus A, 61, 72–83, 2009.
Bannister, R. N.: A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances, Q. J. Roy. Meteorol. Soc., 134, 1951–1970, 2008.
Buehner, M., Houtekamer, P. L., Charette, C., Mitchell, H. L., and He, B.: Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments, Mon. Weather Rev., 138, 1550–1566, 2010a.
Buehner, M., Houtekamer, P. L., Charette, C., Mitchell, H. L., and He, B.: Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part II: One-Month Experiments with Real Observations, Mon. Weather Rev., 138, 1567–1586, 2010b.
Constantinescu, E. M., Sandu, A., Chai, T., and Carmichael, G. R.: Ensemble-based chemical data assimilation. I: General approach, Q. J. Roy. Meteorol. Soc., 133, 1229–1243, 2007a.
Publications Copernicus
Download
Citation
Share