Abstract
Forecasts provide indications of possible future climate changes that are needed to inform policymakers, strategic planners, and the public. This chapter compares the usefulness of climate forecasts obtained from three distinct approaches: univariate statistical methods, models based on physical processes, and the judgments of experts. It evaluates the methods on four criteria: (1) accuracy and lack of bias, (2) uncertainty assessment, (3) acceptability by users, and (4) computational efficiency. While acknowledging the limitations of the methods, it concludes that all three approaches can have a valuable and complementary role in indicating future climate changes, given the diverse needs of forecast users.
| Original language | English |
|---|---|
| Title of host publication | Indicators of Climate Change |
| Place of Publication | Netherlands |
| Publisher | Elsevier |
| Chapter | 12 |
| Pages | 299-315 |
| Number of pages | 17 |
| ISBN (Electronic) | 9780443328381 |
| ISBN (Print) | 9780443328398 |
| DOIs | |
| Publication status | Published - 31 Dec 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- expert judgment
- Forecasting
- general circulation models
- uncertainty
- univariate methods
ASJC Scopus subject areas
- General Environmental Science
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