To become a better forecaster, it is not enough to simply know that a forecast did not verify. One must determine what happened and identify methods for improvement through forecast verification. The forecast verification process helps answer questions like: Is there a particular method that has been more effective in the past in similar circumstances? Is there guidance that is more accurate? Are there persistent biases in our forecasts? Do our forecasts perform better in certain regimes than others? In the era of gridded forecasts, grid-based verification provides more information about the spatial distribution of mismatches between forecasts and analyses. In this module, you will be given an example forecast and verifying analysis. Then you will assess what corrective actions are needed based on the mismatches that occurred.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.
Format: Digital (Standard Copyright)