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Selection of climate change scenario data for impact modelling
M. Sloth Madsen
*
, C. Fox Maule, N. MacKellar, J. E. Olesen,
J. Hesselbjerg Christensen
*
Corresponding author for this work
14
Citations (Scopus)
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Dive into the research topics of 'Selection of climate change scenario data for impact modelling'. Together they form a unique fingerprint.
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Keyphrases
Climate Models
100%
Impact Model
100%
Climate Change Projections
100%
Humidity
100%
Climate Change Scenarios
100%
Climate Change Impacts
50%
Climate Data
50%
Climate Projections
50%
Projection Data
50%
Model Uncertainty
50%
Climate Model Output
50%
Missing Variables
50%
Food Safety
50%
Treat-all
50%
Temperature-humidity Index
50%
Climate Change Signal
50%
Mycotoxins
50%
Impact Analysis
50%
Projected Climate Change
50%
Statistical Methods
50%
Engineering
Climate Change Scenario
100%
Climatic Change
100%
Climate Change
100%
Relative Humidity
66%
Local Scale
33%
Illustrates
33%
Climate Change Effect
33%
Model Uncertainty
33%
Food Safety
33%
Projection Data
33%
Food Science
Mycotoxin
100%
Food Safety
100%
Earth and Planetary Sciences
Mycotoxin
20%