Greenhouse gas concentrations
While paused, moving a slider updates the results immediately.
Greenhouse effect: $T = T_e / (1-\varepsilon/2)^{1/4}$
RF(CO₂): $\Delta F = 5.35\ln(C/C_0)$ W/m²
Adjust CO2 concentration and solar constant to see their effect on Earth temperature
While paused, moving a slider updates the results immediately.
The physical model of the greenhouse effect and global warming simulator is based on the Earth's energy balance. The balance between short-wave radiation supplied by the Sun and long-wave radiation emitted by the Earth determines the surface temperature. Greenhouse gases in the atmosphere absorb and re-emit long-wave radiation, warming the surface. The radiative forcing \(\Delta F\) of CO₂ is logarithmic in the concentration \(C\): \(\Delta F = 5.35 \ln(C / C_0)\) (\(C_0\) = 280 ppm). In this tool, the total radiative forcing of CO₂, CH₄ and N₂O is converted into a change of the atmospheric absorptivity \(\varepsilon\), and the equilibrium surface temperature is found with the one-layer atmosphere model \(T = T_e / (1-\varepsilon/2)^{1/4}\). Changing each gas concentration or the albedo shows the change in radiative forcing and temperature in real time, giving an intuitive grasp of how the greenhouse effect works physically.
Industrial use
In the climate policies of companies and local governments, the relationship between radiative forcing and temperature is used to link emission reductions to their effect on temperature. The idea of radiative forcing by gas is also the basis for comparing the effect of cutting emissions not only of CO₂ but of methane and nitrous oxide.
Research and education
In university earth-science and environmental-science courses, it is used as a topic for understanding the physics of radiative forcing and energy balance. Calculating the temperature change for a doubling of CO₂ with a simple model like this and comparing it with the IPCC figures shows how large the feedbacks from water vapour, clouds and so on are.
Relation to CAE analysis and practical use
This tool is a learning aid for quickly grasping the size of the relationship between radiative forcing and temperature before detailed projections with climate models (GCMs). For practical studies such as building air-conditioning loads or environmental impact assessments, use climate projection data from public institutions.
It is tempting to imagine that "adding greenhouse gases raises the temperature right away", but in reality the large heat capacity of the oceans delays the warming by decades or more. This simulator shows the equilibrium temperature, so when you change a concentration the temperature jumps to its new value immediately; note that in reality it takes a long time to approach that value. It is also tempting to think that "cutting CO₂ alone will stop global warming", but methane (CH₄) and nitrous oxide (N₂O) are powerful greenhouse gases too; CH₄ in particular has a warming effect per unit mass tens of times that of CO₂, so cutting emissions of these gases is just as important. Furthermore, because radiative forcing is logarithmic in gas concentration, the warming from doubling CO₂ from the present level of about 420 ppm cannot be predicted by simple proportional calculation.
With CO₂ at 415 ppm, CH₄ at 1900 ppb and N₂O at 332 ppb, the radiative forcing is about 2.9 W/m² and the temperature rise relative to pre-industrial is about 1.3 K. Increasing CO₂ to 560 ppm raises the radiative forcing to about 4.5 W/m² and the temperature anomaly reaches about 2.0 K. Lowering the albedo from 0.30 to 0.29 (assuming melting ice sheets) adds further warming at the same gas concentrations, showing a positive feedback.