Climate Forecast Ensemble: Scenario and Uncertainty in…

What is a Climate Forecast Ensemble?

A climate forecast ensemble involves running multiple simulations of the Earth's climate system under different scenarios to account for uncertainties in initial conditions, model parameters, and external forcings such as greenhouse gas emissions. Each member of the ensemble represents a possible future state of the climate.

This approach allows scientists to quantify the range of potential outcomes and assess the robustness of their predictions.

Key Components of an Ensemble Model

The model used in this simulation is based on an energy-balance framework, which simplifies the Earth's climate system into a series of equations describing heat flow between different components like the atmosphere, land surface, and oceans.

Radiative forcing from greenhouse gases and other factors is incorporated to simulate changes in the Earth’s energy budget over time.

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Impact of Emission Scenarios

Different scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) represent varying levels and patterns of future greenhouse gas emissions, leading to different climate outcomes.

These scenarios help policymakers understand the potential consequences of current and future emission pathways on global temperatures and other climatic variables.

Role of Climate Sensitivity

Climate sensitivity (ECS) refers to the equilibrium change in global mean surface temperature following a doubling of atmospheric CO2 concentrations.

In the simulation, adjusting the climate sensitivity slider allows users to explore how this parameter influences the overall warming trend and variability across different scenarios.

Frequently asked questions

What is radiative forcing in the context of climate models?

Radiative forcing refers to the difference between incoming solar radiation and outgoing infrared radiation at the top of the atmosphere. It quantifies how much more or less energy the Earth's surface absorbs, driving changes in temperature.

How does internal variability affect climate forecasts?

Internal variability represents natural fluctuations in the climate system that occur even without external forcings like greenhouse gases. These variations can lead to short-term deviations from long-term trends and complicate the prediction of future climates.

Why is it important to run multiple ensemble members?

Running multiple ensemble members accounts for uncertainties in model parameters, initial conditions, and external forcings, providing a more comprehensive view of potential climate futures and helping to identify robust trends.

What does the forecast speed slider control?

The forecast speed slider allows users to adjust the rate at which the simulation runs, enabling them to observe short-term variability or long-term trends in climate outcomes more quickly or slowly.

Try it live

Everything above runs in your browser — open Climate Forecast Ensemble — Scenario & Uncertainty Simulator and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Climate Forecast Ensemble — Scenario & Uncertainty Simulator simulation

Climate Forecast Ensemble: Scenario and Uncertainty in Climate Modeling