Launch
Launch
You will investigate a local weather mystery by noticing real conditions around your community, testing possible questions with a science partner, and selecting one meaningful direction for the weather station project.
Day 1
Research & Plan
Research & Plan
You will turn a local weather mystery into a focused investigation plan by refining your community question, building and checking instruments, peer-reviewing your method, and confirming your setup with a college or university science partner before full data collection begins.
Days 2 - 4
Analyze & Present
Analyze & Present
You will clean and analyze your community weather dataset, test your hypothesis with charts and comparisons, refine your interpretations with peer and college-partner feedback, and prepare a concise data-story presentation and exhibit materials for Forecast Fest.
Days 5 - 7
Showcase
Showcase
You will present your community weather investigation at Forecast Fest, demonstrate how your instruments and data support your answer, respond to audience questions, and complete a final reflection that captures how your scientific thinking and collaboration developed.
Day 8
Launch
Days 1–1
Day 1
π¦οΈ Weather Mystery Walk Notes
Launch
45m
π Scientist Question Tuning
Community Experience
45m
Research & Plan
Days 2–4
Day 2
π§ Weather Mystery Question Studio
Knowledge/Skill Building
80m
Day 3
π οΈ Instrument Calibration and Method Critique
Project Work
90m
Day 4
π¦οΈ College Partner Plan Check
Community Experience
90m
Analyze & Present
Days 5–7
Day 5
π Weather Dataset Cleanup
Knowledge/Skill Building
90m
Day 6
π Trend Graphs and Pattern Claims
Project Work
90m
Day 7
π€ Data-Story Draft with Partner Review
Deliverable
90m
Showcase
Days 8–8
Day 8
π¦οΈ Forecast Fest Data-Story Showcase
Assessment
90m
September 2026
Mon
Tue
Wed
Thu
Fri
28
Day 1
Launch
π¦οΈ Weather Mystery Walk Notes
π Scientist Question Tuning
29
Day 2
Research & Plan
π§ Weather Mystery Question Studio
October 2026
Mon
Tue
Wed
Thu
Fri
5
Day 3
π οΈ Instrument Calibration and Method Critique
6
Day 4
π¦οΈ College Partner Plan Check
12
Day 5
Analyze & Present
π Weather Dataset Cleanup
13
Day 6
π Trend Graphs and Pattern Claims
19
Day 7
π€ Data-Story Draft with Partner Review
20
Day 8
Showcase
π¦οΈ Forecast Fest Data-Story Showcase