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1 Intercomparison of low visibility prediction methods COST-722 (WG-i) Frédéric Atger & Thierry Bergot (Météo-France)
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2 Proposal Horizontal surface (2m) visibility Main goal : learn about the value of the different existing methods Not a competition
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3 Observations Participants propose airports where hourly visibility observations are available WG-i select one airport (validated by MC) Selected participant provides observations for 4 « winter » seasons (October to March) from Oct. 1999 to March 2003 2 seasons for adjusting statistical methods and models characteristics 2 seasons for evaluating existing methods
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4 Observed parameters Minimum required : hourly visibility (reference for verification) Any potentially useful parameters (according to local observation capabilities) for initializing models as predictors for statistical methods
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5 Forecasts Forecast basis : 00 UTC and 12 UTC Lead times : +3h to +24h by 3h step It is not a competition : Participants indicate the main characteristics of the forecasting method (e.g. « 1D model coupled to ECMWF » or « MOS based on Aladin ») Participants are encouraged to provide alternative sets of forecasts obtained by modifying these characteristics
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6 Visibility thresholds Depend on WG-ii conclusions (requirements from the forecasters and from the customers) Proposal : 200 m (roads) 600 m (airports) 1000 m (fog) 5000 m (mist) Participants provide probabilistic or deterministic forecasts for as many thresholds as possible
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7 Verification Comparison for a given validity (e.g. 06 UTC) and a given lead time (e.g. +6h) 2 verification aspects : Contingency tables hit rate and false alarm rate ROC or « pseudo-ROC » diagram Reliability diagram Brier Score + reliability and resolution components Deterministic forecasts are considered as a special case of probabilistic forecasts
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8 ROC and pseudo-ROC curves 2 definitions for the False Alarm Rate !
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9 Reliability diagram and Brier score decomposition BS= (p i -o i ) 2 /N BS=REL-RES+UNC REL= n k (p k -o k ) 2 /N RES= n k (o k -o) 2 /N UNC=o(1-o)
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10 Evaluation tasks More efficient if performed centrally Could be performed by a WG-i participant not involved in the intercomparison due time defined format Data (observations and forecasts) should be provided in due time and in a defined format by the participants Alternatively, each participant conducts the evaluation of its own forecasts (following common verification rules) All data and results should circulate among the participants
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11 Appendix : list of additional observed parameters 2m temperature 2m humidity 10m wind 1h/3h rainfall Total cloud cover Soil temperature Surface pressure Net short wave radiation near the ground Soil type (soil + vegetation) Radio-sounding observations
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