Introduction o Claude Gibert o Meteorological Operations Section (Metops). o Areas of responsibilities: Operational forecast verification and maintenance.

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Presentation transcript:

Introduction o Claude Gibert o Meteorological Operations Section (Metops). o Areas of responsibilities: Operational forecast verification and maintenance of verification / diagnostics software. Plot production and publication on the web site. Post-processing in operational suites.

Introduction o Publication: Graphical products on the web site, plots showing forecast and analysis fields, or verification results. Fields (GRIB) on data server: reanalysis 40 years (ERA40) and DEMETER (EU project). o Verification: Deterministic and probabilistic forecast Database of pre-computed scores, extraction / plotting facilities

Publication (plots) o Database of plots and plot descriptions. Currently: 400,000 different images in the database (archiving). o Update: Daily: 10,000 plots Weekly: 3,000 plots Monthly: 540 o Authoring can be done by non-experts. o The complete production / update of plots is automatic.

Publication (plots) o Access control Different types of organisations access the web site with different credentials, not all products are available to all users. Each product is given categories which specify which type of user can access it. There are three types of authentification: oWeb login and password created by ECMWF oUser login and securID cards oDomain users, recognised by their internet address.

Publication (data) o Data server has been available for a couple of years. Data is available online: Demeter data Re-analysis (ERA40) 1 Terabyte of data is kept. o Usage: 6000 different users from pretty much all countries in the World have been observed. 1 Terabyte of data served each month.

Verification o A package enabling research and operations to: Compute scores (deterministic, i.e. root mean square errors, correlation coefficient, anomaly-based scores) Extract scores Plot scores, mean values, time series, scatter plots o Scores are computed both against analysis and observations.

Verification o The verification package is being re- written. o New types of verification are added (i.e. probabilistic) o Diagnostics used routinely in Research are to be integrated.

Building blocks o Web graphical products and data server rely on a web-application framework developed at ECMWF in 2000 (OO Perl and FastCGI). o Meteorological Python (MetPy) is an ECMWF Python extension to support data formats used in Meteorology (Fields and observations), score / diagnostics computation and plotting. It uses Magics which is an ECMWF graphics library specialised in plotting fields-based data. o The verification package is built on MetPy o Operational plot production carried out using MetPy.

RAQ Requirements on Web RAQ needs a Data archive, Plot display, Verification capability o for daily forecasts 10 regional models to MM(?) days for NN variables? for LL levels?

GEMS Data Service Req. Archive & Plot o 3 separate reanalyses (GHG, GRG, AER) o for ~5 years each o Global o Agreed list of variables Archive o Boundary conditions for 1 common frame and 1 user- frame (1 per user)

oaoa

GEMS Archive in MARS o All observations o All still-useful experiments o All reanalyses

Have we captured all requirements?