Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

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.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

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.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

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.

Temperature Stress Mortality Simulator: for the older (70+ years) population of West Dorset, UK using the UKCP09 SRES A1B Emission Scenario.

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.