Bell ringer: start here (while attendance happens)
Data interpretation · 5 min

Three numbers, three worlds. Average surface temperature: Venus 464°C, Earth 15°C, Mars −63°C. Venus is closer to the Sun than Earth, but not that much closer.
Task: What could explain a 449-degree gap between neighbors? Write one guess. Today's math answers it.

Answer in your Field Notebook, dated.

Today we are learning

I can explain the role of albedo + atmospheric absorption + thermal output in the energy-balance equation, estimate planetary temperature under different GHG concentrations, and explain why this math works for Earth but produces very different outputs for Venus or Mars.

I can: tick as you go (for you, not for marks)
full course map →
AI Partners available for today's work
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What today is about

Block 1 was the qualitative version. Today is quantitative.

The energy-balance equation (solar input minus albedo-reflected, plus atmospheric trapping, equals thermal output) has a real numerical answer. Plug in the numbers: you get a planetary temperature. Plug in different greenhouse-gas concentrations: you get different temperatures. This is how climate science predicts. Not by hand-waving; by math.

Today also connects directly back to Unit 1. The same energy-balance logic you'll work through here applies to Earth, Mars, and Venus in the Goldilocks Report habitability framework. Now you have the equations behind the framework, and the Habitability Zone Calculator becomes a checkable model rather than a black box.

Before you start the work

Start with the Watch: projected and recorded for replay. The Interact is the habitability calculator you practise the math on, and the Read is your reference.

Live in class
Watch (~6 min)
Stefan-Boltzmann derivation worked example. Solar constant → albedo-reflected → atmospheric absorption → planetary thermal emission. Done step-by-step on the board with one full numerical example for Earth.
Placeholder
Read (~8 min)
TBD: lookup tables. Solar constants for Earth / Mars / Venus / habitable-zone exoplanets. Planetary albedos. GHG concentrations + their radiative-forcing values. The Habitability Zone Calculator preset values cross-referenced.
Interact (~25 min)
Guided practice calculating no-atmosphere temperatures for Earth / Mars / Venus. Use the Habitability Zone Calculator as your check: your hand calculation should agree with the calculator output within a few °C.

Everyone does this

Vocabulary support
The U4 pre-teach: 15 terms with definitions and sentence stems. Several are in today's block.

Today's work: choose one path

All four paths end the same: three temperature calculations + a 2-sentence sensitivity claim. The path you pick is about how deep you go on the assumptions.

Learning Intention: I can explain the role of albedo + atmospheric absorption + thermal output in the energy-balance equation, estimate planetary temperature under different GHG concentrations, and explain why this math works for Earth but produces very different outputs for Venus or Mars.
A
Earth at 280, 420, 560 ppm (default)
Estimate Earth's planetary temperature at pre-industrial CO₂ (280 ppm), current (420 ppm), and a doubled-CO₂ scenario (560 ppm). Use the lookup tables for atmospheric absorption coefficients. Show your work; exit ticket is the comparison.
Solo · Default
B
Earth + Venus + Mars (stretch)
Same as Path A, plus calculate planetary temperatures for Venus and Mars using their actual GHG concentrations. Your Venus number will be way off from the observed surface temperature (~462°C). Explain why. That's a real climate-physics question.
Solo · Stretch
C
Climate Modeler consultation (choice)
Bring your Path A calculation to the Climate Modeler. Ask it to push you on the assumptions hidden in your numbers: what does your albedo value depend on? What's missing from the equation that the real climate has? Document the exchange.
Solo · Choice
D
Stefan-Boltzmann peer-help (practice)
If the Stefan-Boltzmann derivation is shaky, come to the peer-help table. Pair with a student who's solid on it. Walk through the worked example together. Ms. Jayanthi/Mr. Ignash floats.
Pairs · Practice

Open your Class Notebook and type today's entry header as Heading 2:

A: Jan 20 | U4 B2 | Earth's Energy Balance: The MathB: Jan 21 | U4 B2 | Earth's Energy Balance: The Math

What you're submitting today

Three numbers + two sentences. The numbers have to be correct; the sentences have to be precise.

Three temperature calculations + sensitivity claim

Three Earth temperatures (at 280 / 420 / 560 ppm CO₂) with work shown. Then a 2-sentence claim about temperature-sensitivity: "If CO₂ doubles from 280 to 560 ppm, planetary temperature changes by ___ °C, which is consistent / inconsistent with IPCC equilibrium climate sensitivity estimates of 2-4°C because ___."

Submit via Google Classroom (link posted in August)

Rubric link: Quantitative reasoning about climate physics is K/U bedrock for the Chennai Climate Brief's Background section. The K/U 7-8 band requires "energy balance, greenhouse effect, carbon cycle correctly applied." See the rubric.

One question before you leave

Three to five minutes. Your answer is saved to your reflection journal, where you can read back everything you have written this year.

Surface the step that needs Block 3 to build on.

Today's reflection is in Google Classroom, under Reflection Journal.

Link posted in August

Sign in with your school account. Your teacher can see what you write here.