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 <br class='hide-on-tablet hide-on-mobile'>index value: 51 Scimago H
    index 51
Volume 10, issue 12
Geosci. Model Dev., 10, 4563-4575, 2017
https://doi.org/10.5194/gmd-10-4563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 4563-4575, 2017
https://doi.org/10.5194/gmd-10-4563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 15 Dec 2017

Model description paper | 15 Dec 2017

A method to encapsulate model structural uncertainty in ensemble projections of future climate: EPIC v1.0

Jared Lewis et al.
Related authors  
An updated version of a gap-free monthly mean zonal mean ozone database
Birgit Hassler, Stefanie Kremser, Greg E. Bodeker, Jared Lewis, Kage Nesbit, Sean M. Davis, Martyn P. Chipperfield, Sandip S. Dhomse, and Martin Dameris
Earth Syst. Sci. Data, 10, 1473-1490, https://doi.org/10.5194/essd-10-1473-2018,https://doi.org/10.5194/essd-10-1473-2018, 2018
Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations
Sandip S. Dhomse, Douglas Kinnison, Martyn P. Chipperfield, Ross J. Salawitch, Irene Cionni, Michaela I. Hegglin, N. Luke Abraham, Hideharu Akiyoshi, Alex T. Archibald, Ewa M. Bednarz, Slimane Bekki, Peter Braesicke, Neal Butchart, Martin Dameris, Makoto Deushi, Stacey Frith, Steven C. Hardiman, Birgit Hassler, Larry W. Horowitz, Rong-Ming Hu, Patrick Jöckel, Beatrice Josse, Oliver Kirner, Stefanie Kremser, Ulrike Langematz, Jared Lewis, Marion Marchand, Meiyun Lin, Eva Mancini, Virginie Marécal, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke Oman, Giovanni Pitari, David A. Plummer, John A. Pyle, Laura E. Revell, Eugene Rozanov, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Simone Tilmes, Daniele Visioni, Yousuke Yamashita, and Guang Zeng
Atmos. Chem. Phys., 18, 8409-8438, https://doi.org/10.5194/acp-18-8409-2018,https://doi.org/10.5194/acp-18-8409-2018, 2018
Short summary
A comparison of Loon balloon observations and stratospheric reanalysis products
Leon S. Friedrich, Adrian J. McDonald, Gregory E. Bodeker, Kathy E. Cooper, Jared Lewis, and Alexander J. Paterson
Atmos. Chem. Phys., 17, 855-866, https://doi.org/10.5194/acp-17-855-2017,https://doi.org/10.5194/acp-17-855-2017, 2017
Short summary
Validation of merged MSU4 and AMSU9 temperature climate records with a new 2002–2012 vertically resolved temperature record
A. A. Penckwitt, G. E. Bodeker, P. Stoll, J. Lewis, T. von Clarmann, and A. Jones
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amtd-8-235-2015,https://doi.org/10.5194/amtd-8-235-2015, 2015
Publication in AMT not foreseen
Methodological aspects of a pattern-scaling approach to produce global fields of monthly means of daily maximum and minimum temperature
S. Kremser, G. E. Bodeker, and J. Lewis
Geosci. Model Dev., 7, 249-266, https://doi.org/10.5194/gmd-7-249-2014,https://doi.org/10.5194/gmd-7-249-2014, 2014
Related subject area  
Climate and Earth System Modeling
First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect
Stephanie Fiedler, Bjorn Stevens, Matthew Gidden, Steven J. Smith, Keywan Riahi, and Detlef van Vuuren
Geosci. Model Dev., 12, 989-1007, https://doi.org/10.5194/gmd-12-989-2019,https://doi.org/10.5194/gmd-12-989-2019, 2019
The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model
Salomon Eliasson, Karl Göran Karlsson, Erik van Meijgaard, Jan Fokke Meirink, Martin Stengel, and Ulrika Willén
Geosci. Model Dev., 12, 829-847, https://doi.org/10.5194/gmd-12-829-2019,https://doi.org/10.5194/gmd-12-829-2019, 2019
Short summary
The Air-temperature Response to Green/blue-infrastructure Evaluation Tool (TARGET v1.0): an efficient and user-friendly model of city cooling
Ashley M. Broadbent, Andrew M. Coutts, Kerry A. Nice, Matthias Demuzere, E. Scott Krayenhoff, Nigel J. Tapper, and Hendrik Wouters
Geosci. Model Dev., 12, 785-803, https://doi.org/10.5194/gmd-12-785-2019,https://doi.org/10.5194/gmd-12-785-2019, 2019
Short summary
GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems
Katherine Calvin, Pralit Patel, Leon Clarke, Ghassem Asrar, Ben Bond-Lamberty, Ryna Yiyun Cui, Alan Di Vittorio, Kalyn Dorheim, Jae Edmonds, Corinne Hartin, Mohamad Hejazi, Russell Horowitz, Gokul Iyer, Page Kyle, Sonny Kim, Robert Link, Haewon McJeon, Steven J. Smith, Abigail Snyder, Stephanie Waldhoff, and Marshall Wise
Geosci. Model Dev., 12, 677-698, https://doi.org/10.5194/gmd-12-677-2019,https://doi.org/10.5194/gmd-12-677-2019, 2019
Short summary
Limitations of the 1 % experiment as the benchmark idealized experiment for carbon cycle intercomparison in C4MIP
Andrew Hugh MacDougall
Geosci. Model Dev., 12, 597-611, https://doi.org/10.5194/gmd-12-597-2019,https://doi.org/10.5194/gmd-12-597-2019, 2019
Short summary
Cited articles  
Ackerley, D., Dean, S., Sood, A., and Mullan, A. B.: Regional climate modeling in NZ: comparison to gridded and satellite observations, Wea. Clim., 32, 3–22, 2012.
Bhaskaran, B., Mullan, A. B., and Renwick, J.: Modelling of atmospheric variation at NIWA, Wea. Clim., 19, 23–36, 1999.
Bhaskaran, B., Renwick, J., and Mullan, A. B.: On application of the Unified Model to produce finer scale climate information, Wea. Clim., 22, 19–27, 2002.
Bodeker, G. E. and Kremser, S.: Techniques for analyses of trends in GRUAN data, Atmos. Meas. Tech., 8, 1673–1684, https://doi.org/10.5194/amt-8-1673-2015, 2015.
Drost, F., Renwick, J., Bhaskaran, B., Oliver, H., and MacGregor, J. L.: Simulation of New Zealand's climate using a high-resolution nested regional climate model, Int. J. Climatol., 27, 1153–1169, 2007.
Publications Copernicus
Download
Short summary
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate pattern scaling to expand a small number of daily maximum and minimum surface temperature projections into an ensemble that captures the structural uncertainty between climate models. The method is useful for providing projections of changes in climate to users wishing to investigate the impacts of climate change in a probabilistic and computationally efficient way.
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate...
Citation