Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble

Single model initial-condition large ensembles (SMILEs) are valuable tools that can be used to investigate the climate system. SMILEs allow scientists to quantify and separate the internal variability of the climate system and its response to external forcing, with different types of SMILEs appropri...

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Published in:Earth System Dynamics
Main Authors: Maher, N., Milinski, S., Ludwig, R.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/21.11116/0000-0007-7C8F-E
http://hdl.handle.net/21.11116/0000-0007-7C91-A
http://hdl.handle.net/21.11116/0000-0008-4FB4-5
http://hdl.handle.net/21.11116/0000-0008-79ED-6
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spelling ftpubman:oai:pure.mpg.de:item_3266777 2023-08-27T04:11:02+02:00 Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble Maher, N. Milinski, S. Ludwig, R. 2021-04-22 application/pdf application/zip http://hdl.handle.net/21.11116/0000-0007-7C8F-E http://hdl.handle.net/21.11116/0000-0007-7C91-A http://hdl.handle.net/21.11116/0000-0008-4FB4-5 http://hdl.handle.net/21.11116/0000-0008-79ED-6 eng eng info:eu-repo/semantics/altIdentifier/doi/10.5194/esd-12-401-2021 http://hdl.handle.net/21.11116/0000-0007-7C8F-E http://hdl.handle.net/21.11116/0000-0007-7C91-A http://hdl.handle.net/21.11116/0000-0008-4FB4-5 http://hdl.handle.net/21.11116/0000-0008-79ED-6 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Earth System Dynamics info:eu-repo/semantics/article 2021 ftpubman https://doi.org/10.5194/esd-12-401-2021 2023-08-02T01:45:08Z Single model initial-condition large ensembles (SMILEs) are valuable tools that can be used to investigate the climate system. SMILEs allow scientists to quantify and separate the internal variability of the climate system and its response to external forcing, with different types of SMILEs appropriate to answer different scientific questions. In this editorial we first provide an introduction to SMILEs and an overview of the studies in the special issue "Large Ensemble Climate Model Simulations: Exploring Natural Variability, Change Signals and Impacts". These studies analyse a range of different types of SMILEs including global climate models (GCMs), regionally downscaled climate models (RCMs), a hydrological model with input from a RCM SMILE, a SMILE with prescribed sea surface temperature (SST) built for event attribution, a SMILE that assimilates observed data, and an initialised regional model. These studies provide novel methods, that can be used with SMILEs. The methods published in this issue include a snapshot empirical orthogonal function analysis used to investigate El Niño-Southern Oscillation teleconnections; the partitioning of future uncertainty into model differences, internal variability, and scenario choices; a weighting scheme for multi-model ensembles that can incorporate SMILEs; and a method to identify the required ensemble size for any given problem. Studies in this special issue also focus on RCM SMILEs, with projections of the North Atlantic Oscillation and its regional impacts assessed over Europe, and an RCM SMILE intercomparison. Finally a subset of studies investigate projected impacts of global warming, with increased water flows projected for future hydrometeorological events in southern Ontario; precipitation projections over central Europe are investigated and found to be inconsistent across models in the Alps, with a continuation of past tendencies in Mid-Europe; and equatorial Asia is found to have an increase in the probability of large fire and drought events under higher ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Max Planck Society: MPG.PuRe Earth System Dynamics 12 2 401 418
institution Open Polar
collection Max Planck Society: MPG.PuRe
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language English
description Single model initial-condition large ensembles (SMILEs) are valuable tools that can be used to investigate the climate system. SMILEs allow scientists to quantify and separate the internal variability of the climate system and its response to external forcing, with different types of SMILEs appropriate to answer different scientific questions. In this editorial we first provide an introduction to SMILEs and an overview of the studies in the special issue "Large Ensemble Climate Model Simulations: Exploring Natural Variability, Change Signals and Impacts". These studies analyse a range of different types of SMILEs including global climate models (GCMs), regionally downscaled climate models (RCMs), a hydrological model with input from a RCM SMILE, a SMILE with prescribed sea surface temperature (SST) built for event attribution, a SMILE that assimilates observed data, and an initialised regional model. These studies provide novel methods, that can be used with SMILEs. The methods published in this issue include a snapshot empirical orthogonal function analysis used to investigate El Niño-Southern Oscillation teleconnections; the partitioning of future uncertainty into model differences, internal variability, and scenario choices; a weighting scheme for multi-model ensembles that can incorporate SMILEs; and a method to identify the required ensemble size for any given problem. Studies in this special issue also focus on RCM SMILEs, with projections of the North Atlantic Oscillation and its regional impacts assessed over Europe, and an RCM SMILE intercomparison. Finally a subset of studies investigate projected impacts of global warming, with increased water flows projected for future hydrometeorological events in southern Ontario; precipitation projections over central Europe are investigated and found to be inconsistent across models in the Alps, with a continuation of past tendencies in Mid-Europe; and equatorial Asia is found to have an increase in the probability of large fire and drought events under higher ...
format Article in Journal/Newspaper
author Maher, N.
Milinski, S.
Ludwig, R.
spellingShingle Maher, N.
Milinski, S.
Ludwig, R.
Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
author_facet Maher, N.
Milinski, S.
Ludwig, R.
author_sort Maher, N.
title Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
title_short Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
title_full Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
title_fullStr Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
title_full_unstemmed Large ensemble climate model simulations: Introduction, overview, and future prospects for utilising multiple types of large ensemble
title_sort large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble
publishDate 2021
url http://hdl.handle.net/21.11116/0000-0007-7C8F-E
http://hdl.handle.net/21.11116/0000-0007-7C91-A
http://hdl.handle.net/21.11116/0000-0008-4FB4-5
http://hdl.handle.net/21.11116/0000-0008-79ED-6
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Earth System Dynamics
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http://hdl.handle.net/21.11116/0000-0008-79ED-6
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op_doi https://doi.org/10.5194/esd-12-401-2021
container_title Earth System Dynamics
container_volume 12
container_issue 2
container_start_page 401
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