From version 10.1
edited by S2S_r2o
on 2020/03/25 11:34
To version 11.1
edited by S2S_r2o
on 2020/03/25 11:36
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Content changes

... ... @@ -33,7 +33,7 @@
33 33 Are there identifiable opportunities for producing sub-seasonal precipitation forecasts over land with improved quality? For example, are forecasts produced during Madden and Julian Oscillation (MJO) and/or El Niño Southern Oscillation (ENSO) events more skilful than when neutral conditions are present? Are forecasts for active and break rainfall phases and dry/wet spells (or other quantities of interest) of adequate quality for developing forecast products for use in application sectors?\\
34 34 )))
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36 -(% style="font-weight: normal;" %)**In order to address these questions the research community is encouraged to explore existing and develop novel methodologies for forecast calibration, combination and verification. Following the **(%%)**[[S2S verification chapter produced by the JWGFVR for the recent S2S book>>url:http://s2sprediction.net/resources/documents/sub-projects/Ch17-S2S-forecast-verification-chapter-S2S-wiki.pdf||style="font-weight: normal;"]](% style="font-weight: normal;" %), it is particularly encouraged the identification of the most relevant forecast quality attributes for the target audiences (e.g. model and forecast developers, and various application sectors) in order to choose appropriate scores and metrics to be able to adequately address clearly and previously defined verification questions of interest. This practice helps performing a thorough assessment of sub-seasonal forecasts from both the probabilistic and deterministic points of view.(%%)**
36 +(% style="font-weight: normal;" %)**In order to address these questions the research and operational communities are encouraged to explore existing and develop novel methodologies for forecast calibration, combination and verification. Following the **(%%)**[[S2S verification chapter produced by the JWGFVR for the recent S2S book>>url:http://s2sprediction.net/resources/documents/sub-projects/Ch17-S2S-forecast-verification-chapter-S2S-wiki.pdf||style="font-weight: normal;"]](% style="font-weight: normal;" %), it is particularly encouraged the identification of the most relevant forecast quality attributes for the target audiences (e.g. model and forecast developers, and various application sectors) in order to choose appropriate scores and metrics to be able to adequately address clearly and previously defined verification questions of interest. This practice helps performing a thorough assessment of sub-seasonal forecasts from both the probabilistic and deterministic points of view.(%%)**
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38 38 **4) Current work of S2S operational and research communities on calibration, multi-model combination, verification and forecast products generation**
39 39

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