cosmo-leps objective verification
DESCRIPTION
COSMO-LEPS objective verification. Chiara Marsigli, Francesco Boccanera, Andrea Montani, Fabrizio Nerozzi, Tiziana Paccagnella ARPA-SMR, Bologna, Italy. Langen, 24-26 September 2003. COSMO-LEPS suite @ ECMWF. COSMO-LEPS INTEGRATION DOMAIN. LOKAL MODELL 10 KM HORIZONTAL RESOLUTION. - PowerPoint PPT PresentationTRANSCRIPT
Langen, 24-26 September 2003
COSMO-LEPS objective verification
Chiara Marsigli, Francesco Boccanera, Andrea Montani, Fabrizio Nerozzi,
Tiziana Paccagnella
ARPA-SMR, Bologna, Italy
COSMO-LEPS suite @ ECMWF
COSMO-LEPS INTEGRATION DOMAIN
LOKAL MODELL
10 KM HORIZONTAL RESOLUTION
COSMO-LEPS
Lokal Model scenarios
Probability Maps
prob of 24h rainfall exceeding 20,50,100,150
mm
prob of 24h Tmax exceeding 20,30,35,40 C
prob of 24h Tmin below -10,-5,0,+5 C
prob of 24h Vmax exceeding 10,15,20,25 m/s
prob of 24h snowfall exceeding 1,5,10,20 mm of equivalent water
Probability Maps
prob of 24h rainfall exceeding 20,50,100,150
mm
prob of 24h Tmax exceeding 20,30,35,40 C
prob of 24h Tmin below -10,-5,0,+5 C
prob of 24h Vmax exceeding 10,15,20,25 m/s
prob of 24h snowfall exceeding 1,5,10,20 mm of equivalent water
Deterministic products for each of the 5 LM runs:
Precipitation
Mean Sea level pressure
700 hPa Geopotential
850 hPa Temperature
Deterministic products for each of the 5 LM runs:
Precipitation
Mean Sea level pressure
700 hPa Geopotential
850 hPa Temperature
Transfer to Cosmo Partners
and other interested
Member States
Verification domain and stations
November 2002 – January 2003
Northern Italy
Bilinear interpolation
24h total precipitation
> 20mm/24h
> 10mm/24h
> 1mm/24h
> 50mm/24h
> 30mm/24h
> 50mm/24h
COSMO-LEPS
EPS SE+24h
COSMO-LEPS
EPS SE+96h
PROXY RAIN
LOKAL MODELL - 10 KM
FC +12h - +36h
PROXY RAIN
15/11 12UTC
PROXY RAIN
16/11 12UTC
November 2002
Northern Italy
Nearest point
24h total precipitation
> 20mm/24h
> 10mm/24h
> 1mm/24h
> 50mm/24h
> 30mm/24h
Weighting procedure
It is possible to decide (in real-time) if it is better to weight or not to weight?
Dependence from ensemble spread?
Flow dependence?
Concluding remarks
COSMO-LEPS is always more skillful than the 5RM EPS, sometimes also than SE, but more statistics is needed for high thresholds
Weighting both COSMO-LEPS members and ECMWF RMscauses a worsening of the scores
Verification against proxy-rain gives better results for higher thresholds
Verification will be soon extended to other COSMO countries (new data-set)
Fine