Forecast Interpretation CBRFC Stakeholder Forum October 20, 2015.

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Forecast Interpretation CBRFC Stakeholder Forum October 20, 2015

Forecast Interpretation Deterministic Forecasts – Single Valued Example: 10 Day Streamflow forecasts No “measure” of uncertainty Easy to Understand Probabilistic Forecasts - Range of Possible Outcomes Example: Water Supply Forecasts, Peak Flow Forecasts A way to express uncertainty More difficult to understand

Forecast Interpretation Probability is simple and easy to understand! Right? Or is it? Probability = likelihood a particular event will happen Probability = event/s * 100 # of outcomes Odds 9:4 for “Your Favorite Team” Odds = # desired outcomes : # undesired outcomes Example #2: Odds of “Your Favorite Team” beating “Team You Hate” Odds -> Probability of YFT Winning Total outcomes = 9 / (9+4) Probability = 9/13 * 100 = 69% ½ * 100 = 50% Example #1: Flipping a Coin Two Possible Outcomes: 1. Heads 2. Tails What is the probability of landing on heads? Easy Right?..... Or is it?

Forecast Interpretation: NPR Series NPR Special Series - Risk and Reason: How people interpret probability

Forecast Interpretation: NPR Series One of the most common encounters we have with probability has to do with the weather…… NCAR Survey to understand how people understand weather forecasts Journal Article : Morss, R.E, Demuth,J.L, and Lazo,JK (2008). Communicating Uncertainty in Weather Forecasts: A Survey of the U.S. Public, Weather and Forecasting,23,

Forecast Interpretation: NPR Series NPR Online Results Many Different Conclusions 20% Chance = definitely bring an umbrella 20% Chance= maybe a drizzle

Forecast Interpretation: NPR Series Bottom Line: - General public in confused about probability - Forecasters add to confusion with poor explanations - Probability is simple - Interpretation of probability is not simple Oh and the correct answer to the survey question is ……

Forecast Interpretation: NPR Series

Forecast Interpretation: CBRFC Forecasts - 30 possible future streamflow scenarios Each year is given a 1/30 chance of occurring -Statistics are simplified

Forecast Interpretation: CBRFC Forecasts 9800 KAF 6500 KAF 4400 KAF 3/30 scenarios should be higher than the 10% probability 3/30 scenarios should be lower than the 90% probability 50% chance Apr-Jul observed could be > than % chance Apr-Jul observed could be < than % chance Apr-Jul observed could be > than % chance Apr-Jul observed will be > than /30 scenarios should fall in between the 90%-10% range