Articles | Volume 7, issue 1
https://doi.org/10.5194/gmd-7-433-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-7-433-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
26 Feb 2014
Model description paper |
| 26 Feb 2014
PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
P. B. Holden
Environment, Earth and Ecosystems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
N. R. Edwards
Environment, Earth and Ecosystems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
P. H. Garthwaite
Mathematics and Statistics, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
K. Fraedrich
Max Planck Institute of Meteorology, KlimaCampus, Bundesstraße 53, 20146 Hamburg, Germany
F. Lunkeit
Meteorological Institute, University of Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
E. Kirk
Meteorological Institute, University of Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
M. Labriet
Eneris Environment Energy Consultants s.l., c/Duque de Alba 15, 3–6, 28012 Madrid, Spain
A. Kanudia
Eneris Environment Energy Consultants s.l., c/Duque de Alba 15, 3–6, 28012 Madrid, Spain
F. Babonneau
ORDECSYS, Place de l'Etrier 4, 1224 Chêne-Bougeries, Switzerland
Economics and Environmental Management Laboratory, Swiss Federal Institute of Technology at Lausanne (EPFL), Switzerland
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- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. https://doi.org/10.1029/2022GL099012
- Machine learning for weather and climate are worlds apart D. Watson-Parris https://doi.org/10.1098/rsta.2020.0098
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- Sensitivity of the Eocene climate to CO2 and orbital variability J. Keery et al. https://doi.org/10.5194/cp-14-215-2018
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29 citations as recorded by crossref.
- Visuanimation in statistics M. Genton et al. https://doi.org/10.1002/sta4.77
- Modeling the ecology and evolution of biodiversity: Biogeographical cradles, museums, and graves T. Rangel et al. https://doi.org/10.1126/science.aar5452
- Physical and Economic Consequences of Sea-Level Rise: A Coupled GIS and CGE Analysis Under Uncertainties S. Joshi et al. https://doi.org/10.1007/s10640-015-9927-8
- Modelling the effect of aerosol and greenhouse gas forcing on the South Asian and East Asian monsoons with an intermediate-complexity climate model L. Recchia & V. Lucarini https://doi.org/10.5194/esd-14-697-2023
- Building a traceable climate model hierarchy with multi-level emulators G. Tran et al. https://doi.org/10.5194/ascmo-2-17-2016
- Precipitation over Indochina during the monsoon transition: modulation by Indian Ocean and ENSO regimes F. Ge et al. https://doi.org/10.1007/s00382-021-05817-6
- Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models L. De Cruz et al. https://doi.org/10.5194/npg-25-387-2018
- Large-scale emulation of spatio-temporal variation in temperature under climate change X. Yuan et al. https://doi.org/10.1088/1748-9326/abd213
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. https://doi.org/10.1029/2022GL099012
- Machine learning for weather and climate are worlds apart D. Watson-Parris https://doi.org/10.1098/rsta.2020.0098
- An integrative approach to estimating productivity in past societies using Seshat: Global History Databank P. Turchin et al. https://doi.org/10.1177/0959683621994644
- Multi-level emulation of complex climate model responses to boundary forcing data G. Tran et al. https://doi.org/10.1007/s00382-018-4205-4
- Modelling complex systems of heterogeneous agents to better design sustainability transitions policy J. Mercure et al. https://doi.org/10.1016/j.gloenvcha.2016.02.003
- A Chemical Transport Model Emulator for the Interactive Evaluation of Mercury Emission Reduction Scenarios F. De Simone et al. https://doi.org/10.3390/atmos11080878
- Emulation and interpretation of high-dimensional climate model outputs P. Holden et al. https://doi.org/10.1080/02664763.2015.1016412
- PLASIM–GENIE v1.0: a new intermediate complexity AOGCM P. Holden et al. https://doi.org/10.5194/gmd-9-3347-2016
- Producing Policy-relevant Science by Enhancing Robustness and Model Integration for the Assessment of Global Environmental Change R. Warren et al. https://doi.org/10.1016/j.envsoft.2018.05.010
- Should we geoengineer larger ice caps? J. Haqq-Misra https://doi.org/10.1016/j.futures.2015.07.002
- Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. https://doi.org/10.5194/esd-11-139-2020
- Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. https://doi.org/10.5194/gmd-14-7659-2021
- Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE J. Mercure et al. https://doi.org/10.1016/j.esr.2018.03.003
- Climate model emulation in an integrated assessment framework: a case study for mitigation policies in the electricity sector A. Foley et al. https://doi.org/10.5194/esd-7-119-2016
- The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector J. Mercure et al. https://doi.org/10.1016/j.enpol.2014.06.029
- Emulating global climate change impacts on crop yields O. Oyebamiji et al. https://doi.org/10.1177/1471082X14568248
- Sensitivity of the Eocene climate to CO2 and orbital variability J. Keery et al. https://doi.org/10.5194/cp-14-215-2018
- Multivariate Estimations of Equilibrium Climate Sensitivity From Short Transient Warming Simulations R. Bastiaansen et al. https://doi.org/10.1029/2020GL091090
- Emulators of Climate Model Output C. Tebaldi et al. https://doi.org/10.1146/annurev-environ-012125-085838
- PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate P. Holden et al. https://doi.org/10.5194/gmd-12-5137-2019
- The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0) J. Franke et al. https://doi.org/10.5194/gmd-13-3995-2020
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