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Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
by
Frieler, Katja
, Huber, Veronika
, Serdeczny, Olivia
, Schewe, Jacob
, Piontek, Franziska
, Warszawski, Lila
in
Agriculture
/ Agriculture - statistics & numerical data
/ Atmosphere - analysis
/ Biota
/ Carbon Dioxide - analysis
/ climate
/ Climate change
/ Climate Change - statistics & numerical data
/ Climate models
/ Datasets
/ Ecosystem models
/ Environment
/ Environmental impact
/ Forecasting - methods
/ GLOBAL CLIMATE IMPACTS: A CROSS-SECTOR, MULTI-MODEL ASSESSMENT SPECIAL FEATURE
/ Global climate models
/ Global warming
/ Humans
/ Hydrological modeling
/ Impact analysis
/ Malaria
/ Malaria - epidemiology
/ Modeling
/ Models, Theoretical
/ Physical Sciences
/ Projects
/ Socioeconomic Factors
/ Socioeconomics
/ Temperature
/ Water Supply - statistics & numerical data
2014
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Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
by
Frieler, Katja
, Huber, Veronika
, Serdeczny, Olivia
, Schewe, Jacob
, Piontek, Franziska
, Warszawski, Lila
in
Agriculture
/ Agriculture - statistics & numerical data
/ Atmosphere - analysis
/ Biota
/ Carbon Dioxide - analysis
/ climate
/ Climate change
/ Climate Change - statistics & numerical data
/ Climate models
/ Datasets
/ Ecosystem models
/ Environment
/ Environmental impact
/ Forecasting - methods
/ GLOBAL CLIMATE IMPACTS: A CROSS-SECTOR, MULTI-MODEL ASSESSMENT SPECIAL FEATURE
/ Global climate models
/ Global warming
/ Humans
/ Hydrological modeling
/ Impact analysis
/ Malaria
/ Malaria - epidemiology
/ Modeling
/ Models, Theoretical
/ Physical Sciences
/ Projects
/ Socioeconomic Factors
/ Socioeconomics
/ Temperature
/ Water Supply - statistics & numerical data
2014
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Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
by
Frieler, Katja
, Huber, Veronika
, Serdeczny, Olivia
, Schewe, Jacob
, Piontek, Franziska
, Warszawski, Lila
in
Agriculture
/ Agriculture - statistics & numerical data
/ Atmosphere - analysis
/ Biota
/ Carbon Dioxide - analysis
/ climate
/ Climate change
/ Climate Change - statistics & numerical data
/ Climate models
/ Datasets
/ Ecosystem models
/ Environment
/ Environmental impact
/ Forecasting - methods
/ GLOBAL CLIMATE IMPACTS: A CROSS-SECTOR, MULTI-MODEL ASSESSMENT SPECIAL FEATURE
/ Global climate models
/ Global warming
/ Humans
/ Hydrological modeling
/ Impact analysis
/ Malaria
/ Malaria - epidemiology
/ Modeling
/ Models, Theoretical
/ Physical Sciences
/ Projects
/ Socioeconomic Factors
/ Socioeconomics
/ Temperature
/ Water Supply - statistics & numerical data
2014
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Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
Journal Article
Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
2014
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Overview
The Inter-Sectoral Impact Model Intercomparison Project offers a framework to compare climate impact projections in different sectors and at different scales. Consistent climate and socio-economic input data provide the basis for a cross-sectoral integration of impact projections. The project is designed to enable quantitative synthesis of climate change impacts at different levels of global warming. This report briefly outlines the objectives and framework of the first, fast-tracked phase of Inter-Sectoral Impact Model Intercomparison Project, based on global impact models, and provides an overview of the participating models, input data, and scenario set-up.
Publisher
National Academy of Sciences,National Acad Sciences
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