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: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
  • CiteScore value: 5.56 CiteScore
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
GMD | Articles | Volume 11, issue 9
Geosci. Model Dev., 11, 3781–3794, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 3781–3794, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 18 Sep 2018

Model description paper | 18 Sep 2018

sympl (v. 0.4.0) and climt (v. 0.15.3) – towards a flexible framework for building model hierarchies in Python

Joy Merwin Monteiro et al.
Related authors  
Climate sensitivity and meridional overturning circulation in the late Eocene using GFDL CM2.1
David K. Hutchinson, Agatha M. de Boer, Helen K. Coxall, Rodrigo Caballero, Johan Nilsson, and Michiel Baatsen
Clim. Past, 14, 789–810,,, 2018
Short summary
Atmospheric circulation and hydroclimate impacts of alternative warming scenarios for the Eocene
Henrik Carlson and Rodrigo Caballero
Clim. Past, 13, 1037–1048,,, 2017
Short summary
The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)
Daniel J. Lunt, Matthew Huber, Eleni Anagnostou, Michiel L. J. Baatsen, Rodrigo Caballero, Rob DeConto, Henk A. Dijkstra, Yannick Donnadieu, David Evans, Ran Feng, Gavin L. Foster, Ed Gasson, Anna S. von der Heydt, Chris J. Hollis, Gordon N. Inglis, Stephen M. Jones, Jeff Kiehl, Sandy Kirtland Turner, Robert L. Korty, Reinhardt Kozdon, Srinath Krishnan, Jean-Baptiste Ladant, Petra Langebroek, Caroline H. Lear, Allegra N. LeGrande, Kate Littler, Paul Markwick, Bette Otto-Bliesner, Paul Pearson, Christopher J. Poulsen, Ulrich Salzmann, Christine Shields, Kathryn Snell, Michael Stärz, James Super, Clay Tabor, Jessica E. Tierney, Gregory J. L. Tourte, Aradhna Tripati, Garland R. Upchurch, Bridget S. Wade, Scott L. Wing, Arne M. E. Winguth, Nicky M. Wright, James C. Zachos, and Richard E. Zeebe
Geosci. Model Dev., 10, 889–901,,, 2017
Short summary
Evolution of the large-scale atmospheric circulation in response to changing ice sheets over the last glacial cycle
M. Löfverström, R. Caballero, J. Nilsson, and J. Kleman
Clim. Past, 10, 1453–1471,,, 2014
Does Antarctic glaciation cool the world?
A. Goldner, M. Huber, and R. Caballero
Clim. Past, 9, 173–189,,, 2013
Related subject area  
Climate and Earth System Modeling
Global simulation of semivolatile organic compounds – development and evaluation of the MESSy submodel SVOC (v1.0)
Mega Octaviani, Holger Tost, and Gerhard Lammel
Geosci. Model Dev., 12, 3585–3607,,, 2019
Short summary
The road weather model RoadSurf (v6.60b) driven by the regional climate model HCLIM38: evaluation over Finland
Erika Toivonen, Marjo Hippi, Hannele Korhonen, Ari Laaksonen, Markku Kangas, and Joni-Pekka Pietikäinen
Geosci. Model Dev., 12, 3481–3501,,, 2019
Short summary
Climate projections of a multivariate heat stress index: the role of downscaling and bias correction
Ana Casanueva, Sven Kotlarski, Sixto Herrera, Andreas M. Fischer, Tord Kjellstrom, and Cornelia Schwierz
Geosci. Model Dev., 12, 3419–3438,,, 2019
Short summary
PatCC1: an efficient parallel triangulation algorithm for spherical and planar grids with commonality and parallel consistency
Haoyu Yang, Li Liu, Cheng Zhang, Ruizhe Li, Chao Sun, Xinzhu Yu, Hao Yu, Zhiyuan Zhang, and Bin Wang
Geosci. Model Dev., 12, 3311–3328,,, 2019
Short summary
How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0?
Karina E. Williams, Anna B. Harper, Chris Huntingford, Lina M. Mercado, Camilla T. Mathison, Pete D. Falloon, Peter M. Cox, and Joon Kim
Geosci. Model Dev., 12, 3207–3240,,, 2019
Short summary
Cited articles  
Alpire, A.: Predicting Solar Radiation using a Deep Neural Network, available at: (last access: 20 August 2018), 2017. a
Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244,, 2005. a, b, c
Dagum, L. and Menon, R.: OpenMP: an industry standard API for shared-memory programming, IEEE Comput. Sci. Eng., 5, 46–55, 1998. a
DeLuca, C., Theurich, G., and Balaji, V.: The Earth System Modeling Framework, in: Earth System Modelling, vol. 3, SpringerBriefs in Earth System Sciences, Springer, Berlin, Heidelberg, 43–54,, 2012. a
Donahue, A. S. and Caldwell, P. M.: Impact of Physics Parameterization Ordering in A Global Atmosphere Model, J. Adv. Model. Earth Sy., 10, 481–499,, 2018. a
Publications Copernicus
Short summary
In the same way that the fruit fly or the yeast cell serve as model systems in biology, climate scientists use a range of computer models to gain a fundamental understanding of our climate system. These models range from extremely simple models that can run on your phone to those that require supercomputers. Sympl and climt are packages that make it easy for climate scientists to build a hierarchy of such models using Python, which facilitates easy to read and self-documenting models.
In the same way that the fruit fly or the yeast cell serve as model systems in biology, climate...