forecast verification

forecast verification

[¦fȯr‚kast ‚ver·ə·fə′kā·shən]
(meteorology)
Any process for determining the accuracy of a weather forecast by comparing the predicted weather with the observed weather of the forecast period; used to test forecasting skills and methods.
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References in periodicals archive ?
Such predictability is not unseen, and forecast verification based on a large reforecast dataset covering the past 20 years for a weekly strike probability product suggests some skill up to week 3 (Vitart and Molteni 2010), with predictability mainly originating from the strong modulation by the Madden-Julian oscillation and other tropical waves, which can be predicted up to 4-5 weeks in advance (Vitart 2017).
The forecast verification methodology for continuous values and binary events is explained in Section 3.
Case studies of the river city Sondrio in the Italian Alps highlight the problems analysts face when implementing flood forecast verification methods, damage assessment tools, and a damage reduction index.
Forecast verification. A practitioner's guide in atmospheric science.
To our knowledge, these analyses are the first application of forecast verification methods to a predictive disease transmission model.
31) by WeatheRate, which Channel 5 says is the only independent forecast verification company in the nation.
In order to carry out the required forecast verification the corresponding observed minimum (00-12 UTC) and maximum temperatures (12-00 UTC) for New Brunswick, NJ were obtained.
Xue, "Prediction and ensemble forecast verification of hail in the supercell storms of 20 May 2013," Weather and Forecasting, vol.
Forecast verification; a practitioner's guide in atmospheric science, 2d ed.
Convective wind data serve many purposes, including local and national forecast verification, calibration of severe weather probabilities derived from numerical models, hazard assessment for insurance and preparedness efforts, and climate analysis.
Ultimately, each forecast point of a route has a set of changing parameters that makes a proper forecast hard to reach and is the primary reason for noise in forecast verification statistics.