Update on SVS-LRF Lead Centre Dr David Jones 1 & Bertrand Denis 2 1 Australian Bureau of Meteorology 2 Environment Canada CBS Expert Team on Extended and Long Range Forecasting Geneva, March, 2012
Role of the Lead Centre The role of the Lead Centre is to facilitate the exchange of seasonal and longer range forecast verification results, as specified in the Standardised Verification System (SVS) for Long Range Forecasts (LRF) defined in the WMO Manual on the Global Data-Processing System (new attachment II.8).attachment II.8 The Lead Centre will ensure that clear and concise information explaining the verification scores, graphics and data is available and maintained up-to-date on the SVSLRF website. Also, links to the participating Global Producing Centres will be listed on the site. The Lead Centre will provide and maintain software to calculate the verification scores, as well as recommended datasets for use in the assessments of the forecasts.
Lead Centre - Web Site Lead Centre web site is fully functional Contains Disclaimer, Documentation, Users Guide and Verification Maps As experts and potential users, we value your feedback Link to Lead Centre for MME site
Lead Centre – Data Presentation Series of Korn shell scripts, using “GrADS” (The COLA Grid Analysis and Display System) for displaying data GrADS was chosen due to its portability, ease of use, and as it is free and publicly available: rads.html This means ease of relocation if the Lead Centre responsibilities changed hands. rads.html
Lead Centre – Files submitted
Examples of submitted data
Number of Web HitsJun-11Jul-11Aug-11Sep-11Oct-11Nov-11Dec-11Jan-12 Total for 8 months Main page Usersguide Datasets Documentation roc info reliability info gpc info Scores AttachmentII msss info maps: /cgi-bin/climate/wmo.cgi Measuring Success?
Measuring Success? (last ET meeting) Spike coinciding with the announcement of the Exeter Meeting. Generally low level of use – expected or unexpected?
Some Points to Consider Original recommended hindcast period was Every centre seems to verify over a different period. Move to 1981 to 2010 as a “priority”. Some models bias correct and correct for variance (i.e. MSSS2 and MSSS3 is zero everywhere), which gives an inflated value for the overall MSSS score compared to models that don’t bias correct. Do we move to dynamical mapping (see ), noting that the current pages look a bit tired. Consequences for download speed. ENSO stratification not implemented yet.
Some Points to Consider Some GPC skill maps appear to have errors – GPCs need to periodically check. Ability to assess forecast skill in addition to hindcast skill? Putting forecasts alongside verification. How to verify multimodel ensembles. Role of lead centre for extended range forecasts.