From version 20.1
edited by S2S_ver
on 2016/04/27 22:47
To version 21.1
edited by S2S_ver
on 2016/06/02 21:41
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Content changes

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28 28 Joanne Robbins (UKMO, UK)
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32 32 **3) Linkages with coordinated WMO operational activities**
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34 +**3.1) Collaboration between S2S and WMO**
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34 34 The research performed in S2S has strong linkages with WMO operational activities, particularly with the CBS/CCl Expert Team on Operational Prediction from Sub-seasonal to Longer time-scale ([[ET-OPSLS>>url:http://www.wmo.int/pages/prog/wcp/ccl/opace/opace3/ET-OPSLS.php]]) and the WMO Lead Centre for Long Range Forecast Multi-Model Ensemble ([[LC-LRFMME>>url:https://www.wmolc.org/]]). The S2S project in collaboration with WMO is therefore bridging research and operation activities to drive science and technology forward for producing better weather/climate information for a number of application sectors.
35 35
36 36 As part of this collaboration between S2S and WMO the S2S sub-project on verification and products has been conducting the following activities:
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47 +**3.2) The pilot real-time sub-seasonal MME prediction in WMO LC-LRFMME**
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50 +The WMO Lead Centre for Long Range Forecast Multi-Model Ensemble ([[LC-LRFMME>>url:https://www.wmolc.org/]]) has recently developed a pilot system for real-time multi-model subseasonal forecasts using real-time forecasts (and hindcasts) from a subset of models contributing to the WWRP/WCRP S2S research project accessible via ECMWF data archive. //**Following [[//**this link**//>>url:http://s2sprediction.net/file/documents_reports/Report_on_subseasonal_MME_in_LC-LRFMME_MAY2016.pdf]] the S2S research community has the opportunity to see the initial developments conducted by the LC-LRFMME and [[(% class="wikiinternallink wikiinternallink" %)//**provide feedback**//>>path:mailto:[email protected]]](%%) for future developments and improvements in this pilot under development system**//. Subseasonal models from four GPCs are currently used: ECMWF, Exeter, Tokyo and Washington. A range of forecast products has been developed including probabilities for tercile categories of weekly averages of 2m temperature and rainfall as well as the MJO and BSISO indices. Verification has also been generated using ROC curves and scores as well as anomaly pattern correlation for a few case studies.
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44 44 **4) List of published literature on verification methods of relevance to S2S verification**
45 45
46 46 Below in sections 4.1 and 4.2 is a selected list of published literature (including books, technical reports and scientific papers) on verification methodologies of relevance for S2S forecast verification. A more comprehensive list and additional information on forecast verification is available at [[http:~~/~~/www.cawcr.gov.au/projects/verification/>>url:http://www.cawcr.gov.au/projects/verification/]] a website of the [[//WWRP/WGNE Joint Working Group on Forecast Verification Research.//>>url:http://www.wmo.int/pages/prog/arep/wwrp/new/Forecast_Verification.html]]

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