Quick Start Guide: Multi-Variable Climate Dashboard
How to Access the Dashboard
Navigate to the Dashboards section and select Multi-Variable Climate Dashboard. The map will load, centered on a default location, showcasing average temperature projections based on selected time frames.
1. Explore the Map
Upon loading, the map visualizes the average temperature for the selected month or season, compared to the 1980-2010 mean baseline. The display is color-coded to indicate areas where temperatures are projected to rise or fall.
- Navigation: Zoom and pan to explore temperature projections across different regions.
- Data Visualization: Color gradients represent variations from the baseline, simplifying the identification of hotter or cooler areas.
2. Customize Your View
Tailor the information displayed on the map and chart by adjusting the following settings:
- Temporal Selection: Choose from Annual, specific Months (January to December), or Seasons (Spring, Summer, Fall, Winter) to view corresponding data.
3. View the Chart
The interactive chart displays a comparative analysis of precipitation, minimum temperature, maximum temperature, and average temperature, all referenced against the 1980-2010 baseline.
- Interaction: Hovering over the chart updates the map to reflect specific data points and temporal changes.
- Unit Conversion: Toggle between Metric and English units to suit your preference.
- Chart Customization: Adjust the y-axis to start at zero or customize the scale for a detailed view of the changes.
- Data Export: Export the visual chart as a PNG file or download the data for offline analysis.
4. Additional Features
- Data Layering: Multiple variables are layered in a single chart to allow for easy comparison across different climate factors.
- Baseline Comparison: All data points are compared to a set baseline period (1980-2010), providing a consistent reference for analysis.
- Color Coding: Each variable is distinctly color-coded within the chart to differentiate between data types effectively.
This dashboard provides a comprehensive tool for visualizing and analyzing projected climate data over time, focusing on key variables such as temperature and precipitation. Customize your view to explore data for different times of the year and visualize how each variable compares to historical averages.