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wg:ptof:index [2018/09/13 12:08] – [Group description] Altered intro text. brierley | wg:ptof:index [2019/08/29 16:36] (current) – [PMIP WG - Past2Future: insights from a constantly varying past] brierley | ||
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====== PMIP WG - Past2Future: | ====== PMIP WG - Past2Future: | ||
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===== Group description ===== | ===== Group description ===== | ||
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Paleoclimate modellers have for many years argued the importance of paleoclimate simulations as a means of increasing understanding of the climate system. However, it is only since the fifth iteration of the climate model inter-comparison project (CMIP5) that simulations of paleoclimates have been officially included. This endeavour created the first coherent ensemble of climate models run for past climates, recent historical, control and future scenarios. This fostered the first multi-model, | Paleoclimate modellers have for many years argued the importance of paleoclimate simulations as a means of increasing understanding of the climate system. However, it is only since the fifth iteration of the climate model inter-comparison project (CMIP5) that simulations of paleoclimates have been officially included. This endeavour created the first coherent ensemble of climate models run for past climates, recent historical, control and future scenarios. This fostered the first multi-model, | ||
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This working group seeks to help climate scientists make the best use of the fact that CMIP6/PMIP4 includes so many models and time periods. This is a great source of information that represents a lot of effort by researchers from across the world - and then donated to the rest of the community. However it is such a large and complicated dataset that gleaning those insights can be a challenge. This working group exists to make analyses using multiple models, multiple time periods easier to undertake. The working group has put together a series of resources that provide easy access to some standard model fields, links to relevant paleo-observations, | This working group seeks to help climate scientists make the best use of the fact that CMIP6/PMIP4 includes so many models and time periods. This is a great source of information that represents a lot of effort by researchers from across the world - and then donated to the rest of the community. However it is such a large and complicated dataset that gleaning those insights can be a challenge. This working group exists to make analyses using multiple models, multiple time periods easier to undertake. The working group has put together a series of resources that provide easy access to some standard model fields, links to relevant paleo-observations, | ||
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+ | ===== About The Group ===== | ||
+ | This working group was created by merging two PMIP3 WG: [[https:// | ||
* [[Current Aims and Scope|Aims and Scope]] | * [[Current Aims and Scope|Aims and Scope]] | ||
- | * [[/members|Members and mailing list]] | + | * [[members|Members and mailing list]] |
- | * Resources | + | * [[meetings|Meetings]] |
- | * [[Models|Where to find the models, and some post-processed standard | + | * [[analyses|Planned Analyses]] |
- | * [[/Methods|Methods | + | |
- | * [[Data|Where to find the data]] | + | ===== Resources |
- | * [[PapersEval|Papers on model evaluation]] | + | |
- | * [[PapersVar|Papers analysing climate variability]] | + | === Inputs === |
- | * [[Papers|Papers relating past and future]] | + | |
+ | * [[Output|Model outputs | ||
+ | * [[Data|Where to find the data?]] | ||
+ | === Methods === | ||
+ | * [[/Methods|Methods for combining data and models]] | ||
+ | === Focus areas, projects | ||
* [[LGM_sens|LGM sensitivity subgroup]] | * [[LGM_sens|LGM sensitivity subgroup]] | ||
- | | + | === Examples === |
+ | | ||
+ | * [[PapersVar|Papers analysing climate variability]] | ||
+ | * [[Papers|Papers relating past and future]] | ||
- | <WRAP center round info 80%> | ||
- | This working group was created by merging two PMIP3 WG: | ||
- | * [[https:// | ||
- | * [[https:// | ||
- | The aim of the merger is to encourage researchers to look across multiple past and future climates in the PMIP ensemble. This is something that is especially useful for modes of variability, | ||
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