1 / 6

SRNWP first workshop on MESOSCALE VERIFICATION

This workshop focused on verifying mesoscale weather predictions to improve forecasting accuracy. Results emphasized the need for data exchange, pattern matching, and probabilistic evaluation.

mkammer
Download Presentation

SRNWP first workshop on MESOSCALE VERIFICATION

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SRNWPfirst workshop onMESOSCALEVERIFICATION

  2. INTRODUCTION • What is SRNWP? • Why the workshop? • What was its outcome? • Lessons & recommendations Results from the first SRNWP mesoscale verification workshop. B. Wichers Schreur, KNMI

  3. SRNWP • Short Range Numerical Weather Prediction: • Eumetnet coordination of research • http://srnwp.sma.ch • Participating Consortia: • HIRLAM, ALADIN, LACE, COSMO, UKMO • Lead Centres: • 4DVar, NH modelling, numerical techniques, soil-surface, statistical adaptation, verification methods Results from the first SRNWP mesoscale verification workshop. B. Wichers Schreur, KNMI

  4. BACKGROUND • Verification of added value of mesoscale forecasting and R&D (‘return on investment’) • ‘Traditional’ approach does not apply: • data problems • simple accuracy measures lead to problems, e.g. ‘double penalty’ • areal & time averaged statistics remove short lived, small scales • what we value changes Results from the first SRNWP mesoscale verification workshop. B. Wichers Schreur, KNMI

  5. PRECIPITATION VERIFICATION • Radar • marginal distributions validation • contingency tables • pattern matching • High density networks • Analysis & field verification • Extreme events • Probabilistic evaluation (MOS, EPS, subjective), skill Results from the first SRNWP mesoscale verification workshop. B. Wichers Schreur, KNMI

  6. LESSONS & RECOMMENDATIONS • Need to exchange more data • Verification vs. radar is practical • Need to exploit precipitation structure information • Develop pattern matching (advection and development) • Feasibility probabilistic evaluation of added value in high resolution models • Multiplicity of metrics: just as many answers as questions  value Results from the first SRNWP mesoscale verification workshop. B. Wichers Schreur, KNMI

More Related