SREF in Hirlam Sander Tijm (Kees Kok, Ben Wichers Schreur, Jeanette Onvlee, Hilde Haakenstad, Jose Antonio Garcia-Moya)

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Presentation transcript:

SREF in Hirlam Sander Tijm (Kees Kok, Ben Wichers Schreur, Jeanette Onvlee, Hilde Haakenstad, Jose Antonio Garcia-Moya)

SREF in Hirlam: contents Why SREF? What is done within Hirlam Alternative approach (KNMI view)

Why SREF? To forecast extremes! Are current models capable of producing extremes we are interested in? Not at current resolutions (10-20 km) Can 2 km do the job? In principle yes, but forecasts have to be interpreted probabilistic->SREF

Why SREF? SREF necessary Not possible to run with NH 1-2 km model km resolutions are used Extremes (precipitation, convection) not resolved, so do not expect them We have to do something different

How to achieve SREF? Classical approaches: TEPS, Breeding, SLAF, MUMMA All have positive and negative points: + Model error: MUMMA + Reliable distribution: TEPS + Straightforward: SLAF, Breeding - Model error: TEPS, SLAF, Breeding - Maintenance: MUMMA, unless cooperation - Timing maximum impact: TEPS

SREF in Hirlam Spain: MUMMA, Breeding, SLAF Norway: TEPS Spain wants to have operational system somewhere 2005 How reliable are probabilities?

Extremes cannot be forecasted, unless NH model at 1-2 km are used in ensemble mode. Not feasible until Reliable probability distributions are necessary to enable good use of probability forecast Alternative approaches: Compare to model climate, e.g. extreme forecast index of ECMWF Add MOS to meso-Beta runs to determine accurate probabilities and correct for model errors Reliable probability distribution (KNMI discussions)

SREF+MOS Alternative: SREF+MOS: 1) (small) number of SREF runs (MUMMA or other way to get spread in larger scale condition) 2) MOS to derive reliable probabilities on specific severe weather phenomena 3) NH-run to include forcing mechanisms + relatively cheap

MOS Examples (1) lightning discharges 6 August 2003 (15-21UTC) Probability of thunder (>= 2 discharges) 00UTC-run of 6 August 2003 (15-21UTC)

MOS Examples (2) Probability of severe thunderstorms (>= 500 discharges) 00UTC-run of 2 June 2003 (15-21 UTC) lightning discharges (15-21 UTC)

Conclusions Important role MOS in SREF for derivation of reliable probabilities for specific severe weather events Cooperation may be easiest way to achieve MUMMA in Europe (PEPS) SREF as important as NH-modeling, role for NH-modeling in SREF