On the verification of the crossing-point forecast
The crossing-point forecast is defined by the intersection between a forecast (conditional) and a climate (unconditional) cumulative probability distribution function. It is interpreted as the probabilistic worst-case scenario with respect to climatology. This article discusses a scoring function co...
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Taylor & Francis Group
2021
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oai:doaj.org-article:93fb49c0754d4c5594c60ee16dd12dd42021-12-01T14:40:58ZOn the verification of the crossing-point forecast1600-087010.1080/16000870.2021.1913007https://doaj.org/article/93fb49c0754d4c5594c60ee16dd12dd42021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/16000870.2021.1913007https://doaj.org/toc/1600-0870The crossing-point forecast is defined by the intersection between a forecast (conditional) and a climate (unconditional) cumulative probability distribution function. It is interpreted as the probabilistic worst-case scenario with respect to climatology. This article discusses a scoring function consistent for the crossing-point forecast where both forecasts and verifying observations are expressed in terms of a climatological probability level. Scores defined in ‘probability space’ are commonly used for the verification of deterministic forecasts and this concept is here generalised to ensemble forecast verification. Practical challenges for its application as well as the sensitivity of the score to ensemble size (number of ensemble members) and to climatology definition (number of used climate quantiles) are illustrated and discussed.Zied Ben BouallègueTaylor & Francis Grouparticlescoring functionprobabilistic forecast interpretationensemble verificationdiagonal scorecrossing-pointOceanographyGC1-1581Meteorology. ClimatologyQC851-999ENTellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-10 (2021) |
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DOAJ |
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EN |
| topic |
scoring function probabilistic forecast interpretation ensemble verification diagonal score crossing-point Oceanography GC1-1581 Meteorology. Climatology QC851-999 |
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scoring function probabilistic forecast interpretation ensemble verification diagonal score crossing-point Oceanography GC1-1581 Meteorology. Climatology QC851-999 Zied Ben Bouallègue On the verification of the crossing-point forecast |
| description |
The crossing-point forecast is defined by the intersection between a forecast (conditional) and a climate (unconditional) cumulative probability distribution function. It is interpreted as the probabilistic worst-case scenario with respect to climatology. This article discusses a scoring function consistent for the crossing-point forecast where both forecasts and verifying observations are expressed in terms of a climatological probability level. Scores defined in ‘probability space’ are commonly used for the verification of deterministic forecasts and this concept is here generalised to ensemble forecast verification. Practical challenges for its application as well as the sensitivity of the score to ensemble size (number of ensemble members) and to climatology definition (number of used climate quantiles) are illustrated and discussed. |
| format |
article |
| author |
Zied Ben Bouallègue |
| author_facet |
Zied Ben Bouallègue |
| author_sort |
Zied Ben Bouallègue |
| title |
On the verification of the crossing-point forecast |
| title_short |
On the verification of the crossing-point forecast |
| title_full |
On the verification of the crossing-point forecast |
| title_fullStr |
On the verification of the crossing-point forecast |
| title_full_unstemmed |
On the verification of the crossing-point forecast |
| title_sort |
on the verification of the crossing-point forecast |
| publisher |
Taylor & Francis Group |
| publishDate |
2021 |
| url |
https://doaj.org/article/93fb49c0754d4c5594c60ee16dd12dd4 |
| work_keys_str_mv |
AT ziedbenbouallegue ontheverificationofthecrossingpointforecast |
| _version_ |
1718405007971188736 |