Lesson guide
Ice and Albedo Lesson Plan
1What You Get
This ice albedo lesson plan walks you through a one-class-period lesson on ice-albedo feedback using the Wavicle simulation. The lesson takes 45 minutes. Students join by code with no login required, predict how ice cover affects Earth's temperature, explore the model using controls for atmospheric CO2 and volcanic forcing, explain what happens at tipping points, and answer auto-graded assessment questions. You see live results as students work.
The simulation shows how ice reflects sunlight back to space. Ice and snow are bright, with high albedo (reflectivity). Ocean and land are darker, with low albedo. When ice melts, more dark ocean is exposed, which absorbs more sunlight and heats up, causing more ice to melt. This is a positive feedback loop. Students adjust CO2 levels and volcanic effects to see when the system stays in one climate state and when it tips into another.
The model is honest: it is simplified, not reality. The simulation uses a one-dimensional energy balance model and shows stable climate states and tipping points, not the full complexity of ice sheets or ocean circulation. Students learn the mechanism of albedo feedback, not a complete planetary system.
2Class Period Flow
Setup (5 minutes): Launch the simulation on your screen and display the join code. Students open a browser, navigate to join.wavicle.com, and type the code. No account is needed. When students are in, they see the simulation interface with controls and a climate landscape diagram.
Predict (5 minutes): Ask students: "Earth's climate has stable states where ice either covers the poles or does not. What could cause the climate to flip from one state to the other?" Have them write their prediction on a whiteboard, in a notebook, or discuss with a neighbor. Do not reveal the answer yet.
Explore (25 minutes): Guide students to use the simulation. Show them the climate landscape diagram, which shows energy input on one axis and a curve with valleys representing stable climate states. They start with the feedback loop switched off to see the bare mechanism. Then they adjust the CO2 slider to raise atmospheric greenhouse gas concentration and watch the system respond. Show them the tipping point where the curve flattens and the system can no longer stay in the ice-covered state. Then they toggle feedback on and observe how the ice-albedo feedback accelerates the change. Have them explore what happens when CO2 drops again (hysteresis: the system does not return to the ice-covered state at the same CO2 level). Then show them volcanic forcing: a spike in aerosols cools the climate, but if feedback is on, a large enough cooling can flip the system back into an ice-covered state. Encourage hypothesis: "Will a big volcano always cause an ice age?", "Can we escape this feedback by turning it off?"
Explain (8 minutes): Pause and ask: "What did you notice?", "How did ice cover change when you increased CO2?", "What is the difference between the simulation with feedback on and off?", "Why did the system not return to ice cover when you lowered CO2 again?" Guide them to explain the feedback: ice is bright, so when it melts, darker ocean absorbs more heat, causing more ice to melt. This amplifies the original change. Explain tipping points: beyond a certain CO2 level, the ice-covered state is no longer stable. Explain hysteresis: the system depends on both CO2 and the current state, not just CO2 alone.
Assess (2 minutes): Students answer three to five auto-graded multiple-choice questions. Examples: "In the model, when CO2 increased, ice cover decreased. Which statement explains this?", "Why is the ice-albedo feedback called a positive feedback?", "The model shows that once the system tips to an ice-free state, raising CO2 higher does not flip it back to ice-covered. What is the name for this effect?" Results appear in your live view.
3What Students See
The simulation interface shows a climate landscape diagram on the left (a curve with two valleys representing stable states), a control panel in the middle (sliders for CO2 and volcanic forcing, a toggle for feedback), and a summary of the current ice cover and temperature on the right.
Sunlight split: The diagram shows incoming solar radiation (bright yellow or blue arrows) hitting the top of the atmosphere. The model displays what fraction bounces back (albedo effect) and what fraction is absorbed. When ice cover is high, more bounces back. When ice melts, less bounces back.
Climate landscape: A curve shows the stable climate states as valleys. The x-axis represents factors that drive climate change (CO2, volcanic forcing). The y-axis represents the system state (ice cover from 0 to 100 percent). Students see two valleys at low CO2 (ice-covered state and a less stable ice-free state) and one valley at high CO2 (ice-free state). As they adjust CO2, the landscape deforms, valleys flatten, tipping points appear, and the system state jumps between valleys.
Tipping point: When students push CO2 high enough, the ice-covered valley disappears. If the system is in that valley, it must jump to the ice-free valley. This is shown dynamically on the landscape curve.
Volcanic winter: A large volcanic spike in the control panel adds a temporary cooling pulse. If feedback is on and the cooling is large enough, this can trigger a flip back to ice cover.
Feedback on/off toggle: Students can switch the albedo feedback on and off. With feedback off, ice cover responds to CO2 changes but the response is smaller and more gradual. With feedback on, the system shows tipping points and hysteresis. This makes the mechanism of feedback visible.
4Getting Started
Before class, log in to the teacher dashboard at wavicle.com/teacher/login and launch the ice-albedo simulation. Copy the join code. Have students open a web browser and go to join.wavicle.com. They enter the code and their name (first name only is fine). The simulation starts immediately.
If you prefer to run the simulation live in front of the class, that works too. You control the sliders and toggle, ask students to predict, adjust, and discuss. Students do not need to use their own devices; this is a whole-class inquiry.
The simulation works on any modern browser, tablet, or Chromebook. No plugins or downloads are required. If a student loses connection, they rejoin with the same code.
After the lesson, check your teacher results view to see which students engaged and how they answered assessment questions. Use this to plan follow-up on feedback loops and climate tipping points.
Misconceptions
A feedback loop always runs away forever.
Correction:
A positive feedback loop amplifies a change, but it does not always escalate without limit. In the ice-albedo simulation, the feedback amplifies warming as ice melts, but once all the ice is gone, there is no more ice to melt and the feedback reaches an end point. The system reaches a new stable state (ice-free). Feedback is powerful because it makes the change faster and pushes the system past tipping points, not because it grows forever. The model shows multiple stable states, each with feedback active.
Earth has exactly one stable climate.
Correction:
The ice-albedo simulation shows that Earth can have multiple stable climate states at the same CO2 level. At low CO2, both an ice-covered state and an ice-free state are possible, depending on the initial condition and history. This is not a contradiction; both states are real equilibria. The feedback loop does not break this; it means that small changes near a tipping point can flip the system from one state to the other. Past climate has shifted between ice ages and warm periods, which the model captures.
Volcanoes emit more CO2 than humans.
Correction:
Volcanoes emit aerosols (fine particles) that cool the climate over months to years, and they also release CO2, but the amount is much smaller than human emissions. In the simulation, volcanic forcing is a temporary cooling effect added to the model. The point of volcanic forcing is not to show CO2 from volcanoes; it is to show that a large, fast cooling can trigger a climate tipping point if the albedo feedback is strong. The simulation separates CO2 forcing and volcanic aerosol forcing so students can see both mechanisms independently.
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