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: 5.240 IF 5.240
  • IF 5-year value: 5.768 IF 5-year
    5.768
  • CiteScore value: 8.9 CiteScore
    8.9
  • SNIP value: 1.713 SNIP 1.713
  • IPP value: 5.53 IPP 5.53
  • SJR value: 3.18 SJR 3.18
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 51 h5-index 51
Volume 11, issue 10
Geosci. Model Dev., 11, 4291–4316, 2018
https://doi.org/10.5194/gmd-11-4291-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 4291–4316, 2018
https://doi.org/10.5194/gmd-11-4291-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 19 Oct 2018

Development and technical paper | 19 Oct 2018

Dynamic hydrological discharge modelling for coupled climate model simulations of the last glacial cycle: the MPI-DynamicHD model version 3.0

Thomas Riddick et al.

Related authors

The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations
David Walters, Ian Boutle, Malcolm Brooks, Thomas Melvin, Rachel Stratton, Simon Vosper, Helen Wells, Keith Williams, Nigel Wood, Thomas Allen, Andrew Bushell, Dan Copsey, Paul Earnshaw, John Edwards, Markus Gross, Steven Hardiman, Chris Harris, Julian Heming, Nicholas Klingaman, Richard Levine, James Manners, Gill Martin, Sean Milton, Marion Mittermaier, Cyril Morcrette, Thomas Riddick, Malcolm Roberts, Claudio Sanchez, Paul Selwood, Alison Stirling, Chris Smith, Dan Suri, Warren Tennant, Pier Luigi Vidale, Jonathan Wilkinson, Martin Willett, Steve Woolnough, and Prince Xavier
Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017,https://doi.org/10.5194/gmd-10-1487-2017, 2017
Short summary

Related subject area

Climate and Earth System Modeling
Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration
Harald Rybka and Holger Tost
Geosci. Model Dev., 13, 2671–2694, https://doi.org/10.5194/gmd-13-2671-2020,https://doi.org/10.5194/gmd-13-2671-2020, 2020
Short summary
The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability
Katja Matthes, Arne Biastoch, Sebastian Wahl, Jan Harlaß, Torge Martin, Tim Brücher, Annika Drews, Dana Ehlert, Klaus Getzlaff, Fritz Krüger, Willi Rath, Markus Scheinert, Franziska U. Schwarzkopf, Tobias Bayr, Hauke Schmidt, and Wonsun Park
Geosci. Model Dev., 13, 2533–2568, https://doi.org/10.5194/gmd-13-2533-2020,https://doi.org/10.5194/gmd-13-2533-2020, 2020
Short summary
Investigating the sensitivity to resolving aerosol interactions in downscaling regional model experiments with WRFv3.8.1 over Europe
Vasileios Pavlidis, Eleni Katragkou, Andreas Prein, Aristeidis K. Georgoulias, Stergios Kartsios, Prodromos Zanis, and Theodoros Karacostas
Geosci. Model Dev., 13, 2511–2532, https://doi.org/10.5194/gmd-13-2511-2020,https://doi.org/10.5194/gmd-13-2511-2020, 2020
Short summary
Correcting a bias in a climate model with an augmented emulator
Doug McNeall, Jonny Williams, Richard Betts, Ben Booth, Peter Challenor, Peter Good, and Andy Wiltshire
Geosci. Model Dev., 13, 2487–2509, https://doi.org/10.5194/gmd-13-2487-2020,https://doi.org/10.5194/gmd-13-2487-2020, 2020
Short summary
Improving climate model coupling through a complete mesh representation: a case study with E3SM (v1) and MOAB (v5.x)
Vijay S. Mahadevan, Iulian Grindeanu, Robert Jacob, and Jason Sarich
Geosci. Model Dev., 13, 2355–2377, https://doi.org/10.5194/gmd-13-2355-2020,https://doi.org/10.5194/gmd-13-2355-2020, 2020
Short summary

Cited articles

Alkama, R., Kageyama, M., Ramstein, G., Marti, O., Ribstein, P., and Swingedouw, D.: Impact of a realistic river routing in coupled ocean–atmosphere simulations of the Last Glacial Maximum climate, Clim. Dynam., 30, 855–869, https://doi.org/10.1007/s00382-007-0330-1, 2008.
Argus, D. F., Peltier, W. R., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, https://doi.org/10.1093/gji/ggu140, 2014.
Bahadory, T. and Tarasov, L.: LCice 1.0 – a generalized Ice Sheet System Model coupler for LOVECLIM version 1.3: description, sensitivities, and validation with the Glacial Systems Model (GSM version D2017.aug17), Geosci. Model Dev., 11, 3883–3902, https://doi.org/10.5194/gmd-11-3883-2018, 2018.
Barnes, R., Lehman, C., and Mulla, D.: Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models, Comput. Geosci., 62, 117–127, 2014.
Publications Copernicus
Download
Short summary
During the Last Glacial Maximum, many rivers were blocked by the presence of large ice sheets and thus found new routes to the sea. This resulted in changes in the pattern of freshwater discharge into the oceans and thus would have significantly affected ocean circulation. Also, rivers found routes across the vast exposed continental shelves to the lower coastlines of that time. We propose a model for such changes in river routing suitable for use in wider models of the last glacial cycle.
During the Last Glacial Maximum, many rivers were blocked by the presence of large ice sheets...
Citation