The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

Проект взаимного сравнения сценарных моделей (ScenarioMIP) для CMIP6
Gerald A. Meehl, Detlef P. van Vuuren, Jean‐François Lamarque, Reto Knutti, Brian C. O’Neill, Claudia Tebaldi, Veronika Eyring, Pierre Friedlingstein, G. C. Hurtt, Elmar Kriegler, Jason Lowe, Keywan Riahi, Benjamin M. Sanderson, Richard H. Moss
2016-09-28

CMIP6ScenarioMIPclimate projectionsemissions and land use scenariosintegrated assessment models
Abstract. Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.
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Its scenario design supports coordinated research across climate science, integrated assessment, and impacts, adaptation, and vulnerability communities, contributing evidence for future IPCC assessments.
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ScenarioMIP is CMIP6’s primary activity for generating multi-model climate projections under alternative future emissions and land-use scenarios from integrated assessment models.
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ScenarioMIP targets questions involving land-use and aerosol forcing, peak-and-decline forcing pathways, warming below 2 °C, uncertainty partitioning, and climate outcomes beyond the 21st century.
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Selected scenarios will support variants in other CMIP6-endorsed projects investigating the effects of specific climate forcings.
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The experimental design includes eight alternative 21st-century scenarios, one large initial-condition ensemble, and long-term extensions organized into two priority tiers.

The Scenario Model Intercomparison Project (ScenarioMIP) within CMIP6

the effects of scenario-dependent forcings and uncertainties on climate change, including land use, aerosols, forcing peaks and declines, warming limits, and long-term climate outcomes

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2016-09-28
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Authors
Gerald A. Meehl
Detlef P. van Vuuren
Jean‐François Lamarque
Reto Knutti
Brian C. O’Neill
Claudia Tebaldi
Veronika Eyring
Pierre Friedlingstein
G. C. Hurtt
Elmar Kriegler
Jason Lowe
Keywan Riahi
Benjamin M. Sanderson
Richard H. Moss
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