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Types of predictability

Climate forecasts and climate projections When using climate information (or data) to anticipate future conditions, it’s important to understand both the type and the source of the prediction methods that …

Principles of climate models

Raw prediction data is produced in a number of ways. To determine whether it’s fit for your particular purposes, you’ll need to know how the predictions are made. But first, …

The use of climate model ensembles

Climate predictions and projections rely heavily on the use of ‘ensembles’. An ensemble refers to a set of multiple different but equally plausible ‘realisations’, usually intended to be consistent with …

Impact modelling

A common challenge in developing climate intelligence for business lies in connecting the raw climate data to the problem of interest. For example, it’s well established that the demand for …

How EnergyMetric converts data to intelligence

In the previous Step, Maria introduced the work of EnergyMetric – a climate service tool which has been developed to aid long-term planning in the energy sector. Maria described how …

Useful sources of climate information

Many climate services and other simplified portals for accessing climate data have developed over the years. To varying extents, these services gather climate datasets and make them accessible, carry out …

Introduction to climate data

Climate data can take many different forms. Here are some of the main sources along with their advantages and limitations. Site-based meteorological instruments Conceptually, the most straight-forward source of climate …

Uncertainty: understanding the two types

Dealing with uncertainty is unavoidable when using climate information, particularly when you’re applying it in a highly localised and business-specific way. It’s a big and complex topic and a full …

Why do I need climate intelligence?

According to a recent United Nations report1, climate-related disasters jumped 83% in the past 20 years and yet, against this backdrop of risk and uncertainty, 76% of global CEOs stated …