This 189 page report supplies detailed temperature distributional statistics for twenty-three locations throughout the US.
While this report targets the needs of CME weather derivatives trading, the information can readily be applied to a wide variety of temperature related planning, especially risk analysis.
This report is perfect for:
- Weather Derivatives Traders
- Energy Traders
- Energy Risk Analysts
- Utility Executives
- Anyone with exposure to temperature risk
For each of the locations, RisQuant Weather Metrics distills thirty to sixty years of data, nearly one million points of data, into eight pages of detailed statistics. Variables include: TMAX, TMIN, TMID (average of max and min), cumulative CDDs, cumulative HDDs, number of days with highs 90° and above and number of subfreezing lows.
Nearly every (21 of 23) locations report at least fifty years of data, all through December 2008. The extraordinary longevity of the data means that we report stable distributional statistics beyond merely the average. With our metrics, an analyst can reliably estimate tail probabilities.
You will learn answers to questions like:
* What is the likelihood that June, July and August together will exceed 900 cumulative CDDs? 1100 cumulative CDDs?
* What is the probability that March will have more than twenty subfreezing lows?
* What does a 5% probability mild December look like?
* The NWS is forecasting an ‘above normal’ summer. Specifically, what does that mean in CDDs and days with highs above 90°?
Where does our data originate?
We have compiled temperature histories from the National Climatic Data Center ‘First Order Summary of Day’ and ‘CF6’ reports. While these are preliminary reports and the datasets have not undergone final quality control checks at the NCDC, their quality is outstanding.
View Table of ContentsPages: 189
Publication Date: January, 2009
Publisher: RisQuant Energy
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