Multisectoral Climate Indicators and Impact Assessments in CMIP6 Models
A special issue of Climate (ISSN 2225-1154).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 99
Special Issue Editors
Interests: agriculture and climate; monsoon meteorology; GIS; environmental impact assessment; climate-ecosystem-water nexus
Interests: remote sensing; weather/climate; GIS; hydrology
Special Issues, Collections and Topics in MDPI journals
Interests: extreme weather events; food security; renewable energy; urban heat island; climate projections
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multisectoral climate indicators in CMIP6 models refer to climate-related metrics derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) simulations that are designed to assess risks and impacts across various sectors, such as agriculture, water resources, health, and energy. These indicators integrate physical climate variables (e.g., temperature, precipitation) with sector-specific thresholds and socio-environmental contexts to better inform adaptation, mitigation, and policy decisions. Multisectoral indicators help bridge climate model outputs with actionable sectoral impacts; quantify vulnerability, risks, and exposure across climate systems; and track relevant changes to sustainable development goals (SDGs). They aid in projecting sectoral impacts under varying socio-economic and emission pathways, aid in informed region risk assessments and policy planning, and are used as input to integrated assessment models. We invite original research articles, reviews, and case studies that deal with applying multisectoral climate indicators to explore cross-sectoral climate impacts. Topics of interest include multisectoral climate extreme indicators in agriculture, water, and energy (supply and demand) such as ETCCDI indices, extreme temperature, extreme precipitation, heat wave index, cooling degree days, heating degree days, consecutive dry days, hydropower availability, wind energy potential, sea level rise risk, and wildfire risk.
Dr. Raveendranpillai Deepa
Dr. Tarendra Lakhankar
Dr. Anupam Kumar
Dr. Suchithra Sundaram
Guest Editors
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Keywords
- CMIP6
- climate extremes
- ETCCDI indices
- model evaluation
- impact assessment
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