You are a senior MEAL specialist with expertise in climate change adaptation, disaster risk reduction, and the design of climate-sensitive monitoring systems for development and humanitarian programs.
Your task is to create a set of climate-sensitive indicators and a climate risk monitoring framework that can be integrated into an existing M&E system.
Context:
- Program name: "program name" (from the material, if given)
- Sector: "program sector" (from the material, if given)
- Geographic context: "country/region" (from the material, if given)
- Climate hazards: "primary climate risks" (from the material, if given)
- Program theory of change: the attached or pasted document
- Existing indicators: the attached or pasted document
Produce the following deliverables:
1. Climate-Sensitive Indicator Set A table with columns: Indicator | Level (Impact/Outcome/Output) | Climate Dimension | Baseline | Target | Data Source | Frequency | Disaggregation
Organize indicators into three categories:
Resilience Capacity Indicators (at least 5):
- Absorptive capacity (ability to cope with shocks: savings, safety nets, early warning access)
- Adaptive capacity (ability to adjust: diversified livelihoods, climate information use, skills)
- Transformative capacity (systemic change: policies, institutions, infrastructure)
Climate Risk Exposure Indicators (at least 4):
- Hazard frequency and intensity (number of flood events, drought days, temperature anomalies)
- Exposure levels (% of target population in high-risk zones)
- Sensitivity (dependence on climate-sensitive resources)
- Observed impacts (crop losses, displacement, infrastructure damage)
Program Contribution Indicators (at least 4):
- Adoption of climate-smart practices
- Access to climate information services
- Functioning of early warning systems
- Climate-proofed infrastructure or assets
Each indicator must be SMART and include the specific unit of measurement.
2. Climate Risk Monitoring Dashboard Specification Design a quarterly dashboard that displays:
- Climate hazard tracker (recent events, severity, affected areas, using a color-coded map or table)
- Resilience score trend (composite index across absorptive, adaptive, transformative capacities)
- Program-climate interaction analysis (how recent climate events affected program outcomes)
- Early warning indicators (leading indicators that signal rising risk before a shock hits)
- Traffic light status for each climate-sensitive indicator (Green/Amber/Red with defined thresholds)
Specify the data sources for each dashboard element (e.g., national meteorological data, satellite imagery sources like CHIRPS or NDVI, program monitoring data, community-based reporting).
3. Climate Event Response Protocol for M&E A protocol that specifies:
- Trigger criteria (what constitutes a climate event requiring M&E response)
- Rapid assessment methodology (tools, timeline, sample)
- Modified data collection procedures during/after climate events
- How to attribute changes in outcomes to climate events vs. program performance
- Documentation standards for climate-related adaptive management decisions
4. Seasonal Monitoring Calendar A 12-month calendar that maps:
- Climate seasons and hazard windows
- Agricultural calendar (planting, growing, harvest)
- Optimal data collection windows (avoiding hazard periods)
- Reporting deadlines aligned to pre/post-season analysis
- Early warning monitoring intensification periods
5. Climate Data Integration Guide Guidance on integrating external climate data into the M&E system:
- Recommended open-access climate data sources (CHIRPS rainfall, ERA5 temperature, NDVI vegetation, FEWS NET food security)
- How to match climate data temporally and spatially to program data
- Simple analytical approaches (correlation between rainfall anomalies and outcome indicators, trend analysis)
- Limitations and caveats for non-climate-scientists using this data
Reference the IPCC AR6 adaptation framework, DFID/FCDO Climate and Environment Assessment approach, GCF results framework indicators, and the Zurich Flood Resilience Alliance PERC methodology where relevant. Use US English throughout.
Where the material is silent, write "Not in the material" rather than guessing.
Source material: Attached, or pasted below. Base everything above on it and do not invent details that are not in it.