Understanding the role of weather and climate change is essential in predicting and managing outbreaks of mosquito-borne diseases. To support research at the Laboratory of Mathematical Parallel Systems (LAMPS), this section provides a curated collection of historical weather records and future climate projections relevant to mosquito and vector-borne disease modeling.
🌍 Climate Data Coverage:
- Historical Weather Data
- Sourced from ground-based weather stations and ERA5 reanalysis datasets.
- Covers Peel Region, the Province of Ontario, Canada-wide, and global locations.
- Future Climate Projections
- Based on CMIP6 climate models under multiple Shared Socioeconomic Pathways (SSPs).
- Available at multiple time scales:
- Daily, weekly, monthly, annual
- Decadal and 30-year climatological averages
📁 Data Formats Provided:
- Raw Data Tables: For download and detailed quantitative analysis.
- Searchable Interfaces: Custom queries for location, time, or model.
- Spatial Distribution Maps: Visual insights into past and projected climate patterns.
This section is designed to give LAMPS researchers and public health modelers robust access to the environmental variables driving mosquito ecology and disease risk. Whether you’re analyzing short-term weather patterns or long-term climate trends, this data infrastructure helps bridge mosquito-borne disease surveillance with environmental science.