Economic Value of Weather and Climate Forecasts - Practical
Economic Value of Weather and Climate Forecasts - Practical
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In this review of Economic Value of Weather and Climate Forecasts, the bottom line is clear: this book is essential for researchers, policy makers and practitioners who need a rigorous, interdisciplinary look at how forecasts influence economic decisions. The editors and contributing authors connect meteorology, economics, psychology and statistics to show why forecasts matter and how to measure their benefit. The single biggest reason to buy is the book's focus on quantifying the economic impact of forecasts across time scales, which makes it a practical reference for designing or improving forecast systems.
Key Features
- Interdisciplinary approach: Combines meteorological and economic perspectives so readers see both how forecasts are made and how they affect markets and decisions.
- Range of temporal scales: Covers forecasts from next few hours to seasonal climate outlooks, helping readers apply concepts to very short and long lead times.
- Specialist chapters: Contributions from area specialists provide domain-specific insights that clarify the practical uses of forecasts.
- Behavioral focus: Addresses the impact of forecasts on human behavior, making the connection between information and decision making explicit.
- Evaluation emphasis: Seeks to determine the economic benefits of existing systems and the incremental gains from improving forecasts, useful for cost-benefit analysis.
Who It's For
This volume is best suited to economists, climate scientists, forecast providers, and planners who need a rigorous treatment of value and evaluation. Graduate students and academics working at the intersection of meteorology and economics will find the specialist chapters and methodological discussion particularly useful.
Practitioners seeking quick how-to instructions or light introductions should look elsewhere; this book assumes some familiarity with economic reasoning and forecast concepts and is most valuable to those prepared for an analytical, interdisciplinary discussion.
Pros & Cons
Pros
- Comprehensive interdisciplinary coverage links forecast science to economic outcomes.
- Practical emphasis on quantifying economic benefits supports policy and investment choices.
- Includes chapters by specialists, offering depth across different sectors and time scales.
Cons
- Not a beginner's primer; readers without background in economics or forecasting may find some chapters dense.
Specifications
| Title | Economic Value of Weather and Climate Forecasts |
| Editors/Authors | Richard W. Katz, Allan H. Murphy |
| Scope | Weather and climate forecasts across short to seasonal time scales |
| Approach | Interdisciplinary: meteorology, economics, psychology, statistics |
| Focus | Economic benefits and evaluation of forecast systems |
| Audience | Researchers, policy makers, forecast providers, advanced students |
Our Verdict
Economic Value of Weather and Climate Forecasts is a strong, interdisciplinary resource for readers who need to understand and measure how forecasts affect economic decisions. It offers practical evaluation frameworks and domain expertise, making it good value for researchers and decision makers seeking evidence-based guidance on forecast investments.
Frequently Asked Questions
Does the book cover both weather and seasonal climate forecasts?
Yes, it examines forecasts from the next few hours through seasonal climate outlooks and their economic implications.
Who contributes to the chapters?
Chapters are written by area specialists combining meteorological, economic, psychological and statistical expertise.
Is this suitable for casual readers?
Not ideally; the content is aimed at readers with some familiarity with economics or forecasting and is more analytical than introductory.
Editor's Take
Economic Value of Weather and Climate Forecasts is a rigorous interdisciplinary resource that explains how to quantify forecast benefits; recommended for researchers, policy makers and advanced students.

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