Extending existing models to capture vegetation response to extreme weather events: The MODEXTREME project

Keyphrases

• Vegetation Response 100%
• Modeling Solutions 100%
• Extreme Weather Events 100%
• Software Library 50%
• Future Climate 50%
• Reusable Software 50%
• Biophysical Applications 50%
• High-low Temperature 50%
• Short-term Forecasting 50%
• Meteorological Drivers 50%
• Water Deficit 50%
• Low Water 50%
• Multi-model 50%
• Extreme Weather Impacts 50%
• Human Living 50%
• Medium-term Forecast 50%
• Early Warning System 50%
• Extreme Weather Conditions 50%
• Economic System 50%
• Security Monitoring 50%
• New Modeling 50%

Earth and Planetary Sciences

• Europe 100%
• Vegetation 100%
• Food Security 50%
• European Commission 50%
• China 50%
• Brazil 50%
• Republic of South Africa 50%
• United States 50%
• Weather Condition 50%
• Grassland 50%
• Argentina 50%
• Weather Impact 50%

Engineering

• European Commission Joint Research Centre 100%
• Term Forecast 100%
• Predictive Capability 100%
• Brazil 100%
• Low-Temperature 100%
• Simulation Mode 100%