Articles | Volume 10, issue 2
Geosci. Model Dev., 10, 811–826, 2017
Geosci. Model Dev., 10, 811–826, 2017

Development and technical paper 21 Feb 2017

Development and technical paper | 21 Feb 2017

Enabling BOINC in infrastructure as a service cloud system

Diego Montes et al.

Related authors

Current status on the need for improved accessibility to climate models code
Juan A. Añel, Michael García-Rodríguez, and Javier Rodeiro
Geosci. Model Dev., 14, 923–934,,, 2021
Short summary
OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting
Sarah Sparrow, Andrew Bowery, Glenn D. Carver, Marcus O. Köhler, Pirkka Ollinaho, Florian Pappenberger, David Wallom, and Antje Weisheimer
Geosci. Model Dev. Discuss.,,, 2020
Revised manuscript accepted for GMD
Short summary
Ozone measurement practice in the laboratory using Schönbein's method
Ignacio Arturo Ramirez-Gonzalez, Juan Antonio Añel, and Antonio Cid Samamed
Geosci. Commun., 3, 99–108,,, 2020
Short summary
Attribution of the Australian bushfire risk to anthropogenic climate change
Geert Jan van Oldenborgh, Folmer Krikken, Sophie Lewis, Nicholas J. Leach, Flavio Lehner, Kate R. Saunders, Michiel van Weele, Karsten Haustein, Sihan Li, David Wallom, Sarah Sparrow, Julie Arrighi, Roop P. Singh, Maarten K. van Aalst, Sjoukje Y. Philip, Robert Vautard, and Friederike E. L. Otto
Nat. Hazards Earth Syst. Sci. Discuss.,,, 2020
Revised manuscript accepted for NHESS
Short summary
Reducing climate model biases by exploring parameter space with large ensembles of climate model simulations and statistical emulation
Sihan Li, David E. Rupp, Linnia Hawkins, Philip W. Mote, Doug McNeall, Sarah N. Sparrow, David C. H. Wallom, Richard A. Betts, and Justin J. Wettstein
Geosci. Model Dev., 12, 3017–3043,,, 2019
Short summary

Related subject area

Climate and Earth system modeling
Evaluation of polar stratospheric clouds in the global chemistry–climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements
Michael Steiner, Beiping Luo, Thomas Peter, Michael C. Pitts, and Andrea Stenke
Geosci. Model Dev., 14, 935–959,,, 2021
Short summary
Lossy compression of Earth system model data based on a hierarchical tensor with Adaptive-HGFDR (v1.0)
Zhaoyuan Yu, Dongshuang Li, Zhengfang Zhang, Wen Luo, Yuan Liu, Zengjie Wang, and Linwang Yuan
Geosci. Model Dev., 14, 875–887,,, 2021
Short summary
Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0)
Franziska Winterstein and Patrick Jöckel
Geosci. Model Dev., 14, 661–674,,, 2021
Short summary
Coordinating an operational data distribution network for CMIP6 data
Ruth Petrie, Sébastien Denvil, Sasha Ames, Guillaume Levavasseur, Sandro Fiore, Chris Allen, Fabrizio Antonio, Katharina Berger, Pierre-Antoine Bretonnière, Luca Cinquini, Eli Dart, Prashanth Dwarakanath, Kelsey Druken, Ben Evans, Laurent Franchistéguy, Sébastien Gardoll, Eric Gerbier, Mark Greenslade, David Hassell, Alan Iwi, Martin Juckes, Stephan Kindermann, Lukasz Lacinski, Maria Mirto, Atef Ben Nasser, Paola Nassisi, Eric Nienhouse, Sergey Nikonov, Alessandra Nuzzo, Clare Richards, Syazwan Ridzwan, Michel Rixen, Kim Serradell, Kate Snow, Ag Stephens, Martina Stockhause, Hans Vahlenkamp, and Rick Wagner
Geosci. Model Dev., 14, 629–644,,, 2021
Short summary
Implementation of sequential cropping into JULESvn5.2 land-surface model
Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, and Andy Wiltshire
Geosci. Model Dev., 14, 437–471,,, 2021
Short summary

Cited articles

Allen, M.: Do-it-yourself climate prediction, Nature, 401, 642,, 1999.
Añel, J. A.: The importance of reviewing the code, Commun. ACM, 54, 40–41,, 2011.
Añel, J. A., López-Moreno, J. I., Otto, F. E. L., Vicente-Serrano, S., Schaller, N., Massey, N., Buisán, S., and Allen, M. R.: The extreme snow accumulation in the western Spanish Pyrenees during winter and spring 2013, B. Am. Meterol. Soc., 95, S73–S76, 2014.
Anderson, D. P.: Boinc: A system for public-resource computing and storage, in: 5th IEEE/ACM International Workshop on Grid Computing, GRID 2004, Pittsburgh, USA, 8 November 2004, IEEE Computer Society Washington, DC, USA, 4–10,, 2004.
AWS: S3 Princing, available at: (last access: 22 December 2016), 2016a.
Short summary
This paper discusses the how the combination of cloud and volunteer computing can be a feasible solution to address large, complex, and expensive computing problems such as climate modelling.