Climate and Agriculture Risk Visualization and Assessment (CAVA)
Risk analytics platform
Description
The Climate Analytics and Vulnerability Assessment Platform (CAVA) is a web-based analytical resource developed by FAO to support climate risk analysis and vulnerability assessment in agrifood systems. The platform provides access to climate indicators, exposure and vulnerability metrics, and analytical outputs to support evidence-based planning, policy design and climate-informed decision-making at national and subnational levels
Technology
CAVA is a web-based analytical platform that integrates climate data, socio-economic indicators and geospatial information to support climate risk and vulnerability analysis for agrifood systems. The platform combines a graphical user interface with analytical workflows implemented in R and Python to process and analyse climate model outputs and derived agroclimatic indicators. CAVA uses global gridded observations, reanalysis datasets and CORDEX-CORE climate simulations, with projections extending up to 2100. It generates automatic, downloadable reports and data products through an online portal supported by cloud-based services.
Target
Climate and Agriculture Risk Visualization and Assessment (CAVA) targets public-sector planners, technical advisors and researchers who develop climate adaptation and disaster risk reduction activities in agriculture.
Business model
Climate and Agriculture Risk Visualization and Assessment (CAVA) is provided as a freely accessible platform for visualisation and analysis of climate and agriculture risk information.
Impact
CAVA aims to support improved access to climate risk and vulnerability information for agriculture and food systems. By providing standardized climate indicators, derived agroclimatic indices and automated analytical outputs, the platform strengthens the capacity of policy makers, analysts and development practitioners to incorporate climate risk considerations into agricultural planning, policy formulation and project design. The platform contributes to more consistent use of climate evidence in decision-making processes related to climate change adaptation and resilience in agrifood systems.
Partners
Predictia Intelligent Data Solutions; University of Cantabria; University of Cape Town
Four Betters
Better environment
Better production
