L'idée est de percevoir les "dynamiques" des "systèmes" à l'oeuvre dans le changement climatique à l'échelle planétaire. Pour cela comprendre les stocks, flux, boucles de rétroactions (lorsqu'un phénomène X influx sur un autre Y, qui influx à son tour sur X) permet de faire apparaître les liens de causes à conséquences parfois difficilement perceptibles.

L'idée étant de s'adosser sur le succès de la Fresque du Climat, qui a vulgarisé la compréhension du changement climatique pour désormais l'analyser grâce à la dynamique des systèmes (et comprendre ce qu'est un modèle, son utilité).

Sur la base du travail de Scott Formann-Roe

A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).

The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.

This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.

🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.

A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).

The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.

This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.

🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.

A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).

The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.

This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.

🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.

A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).

The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.

This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.

🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.

A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).

The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.

This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.

🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.