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Here we define a "real-time tsunami forecast" to derive the information required for evacuation before the first arrival of a tsunami at the coast.
The aim of the present study is to define a pharmacoeconomic model for the forecast of the costs of a group of chronically treated patients followed over the period 2004 2009.
Often, fault interaction models do not improve earthquake forecasting skill We define a simple parameter that indicates when fault interaction matters We find some requirements to get a time synchronization of faults.
We define a big loss as a judgmental adjustment that significantly decreases the forecasting accuracy compared to the baseline statistical forecast.
Define a + 0 = a.
Define a scientific fact.
Define a goal.
The combination of these testing classes and the 3 testing regions, "All Japan," "Mainland," and "Kanto," defines a total of 9 forecast categories.
For both observed and forecast data, we defined a heat wave indicator as periods of ≥ 2 consecutive days with daily mean AT ≥ 95th percentile of the observed or predicted summertime distribution (1 May–30 September) determined separately for each year.
Step 1: Define the forecast date τ and let parameter "training target date" equal τ − 1 (measured wind power (Y_{0})), considering the existence of wind speed persistence.
Open image in new window Fig. 1 Logic structure of proposed method for wind power forecast Step 1: Define the forecast date τ and let parameter "training target date" equal τ − 1 (measured wind power (Y_{0})), considering the existence of wind speed persistence.
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