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A wide range of capital providers make markets in weather risk. To date the weather risk management trading market is primarily made up of dedicated weather trading operations, such as Nephila Capital Ltd, Galileo Weather Risk Management Advisors LCC, Swiss Re, RenRe, and Coriolis Capital, who execute trade orders in weather or weather-contingent commodity trades, the trading desks of ...
In weather forecasting, model output statistics (MOS) is a multiple linear regression technique in which predictands, often near-surface quantities (such as two-meter-above-ground-level air temperature, horizontal visibility, and wind direction, speed and gusts), are related statistically to one or more predictors.
Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time.
Weather derivatives are financial instruments that can be used by organizations or individuals as part of a risk management strategy to reduce risk associated with adverse or unexpected weather conditions. Weather derivatives are index-based instruments that usually use observed weather data at a weather station to create an index on which a ...
Winter storms can bring all sorts of precipitation: snow, sleet, hail, freezing rain or even plain old rain. Why so much variety? The answer involves temperature changes as the precipitation falls.
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
Weather forecast skill is often presented in the form of seasonal geographical maps. Forecasting skill for single-value forecasts (i.e., time series of a scalar quantity) is commonly represented in terms of metrics such as correlation, root mean squared error, mean absolute error, relative mean absolute error, bias, and the Brier score, among ...
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