calibration of cosmo-leps qpf using reforecasts

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CALIBRATION OF COSMO-LEPS QPF CALIBRATION OF COSMO-LEPS QPF USING USING REFORECASTS REFORECASTS Tommaso Diomede , Chiara Marsigli, Andrea Montani, Tiziana Paccagnella ARPA-SIMC, Hydro-Meteorological and Climate Service of the Emilia-Romagna Regional Agency for Environmental Protection, Bologna, Italy

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CALIBRATION OF COSMO-LEPS QPF USING REFORECASTS. Tommaso Diomede , Chiara Marsigli, Andrea Montani, Tiziana Paccagnella. ARPA-SIMC, Hydro-Meteorological and Climate Service of the Emilia-Romagna Regional Agency for Environmental Protection, Bologna, Italy. - PowerPoint PPT Presentation

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Page 1: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

CALIBRATION OF COSMO-LEPS QPFCALIBRATION OF COSMO-LEPS QPF

USINGUSING REFORECASTS REFORECASTS

Tommaso Diomede, Chiara Marsigli,Andrea Montani, Tiziana Paccagnella

ARPA-SIMC, Hydro-Meteorological and Climate Service of the Emilia-Romagna Regional Agency for Environmental Protection, Bologna, Italy

Page 2: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

Calibration strategy - data collection & study areas

• observed precipitation (24-h raingauge data) • Emilia-Romagna Region (08-08 UTC), 1971-2007• Switzerland (06-06 UTC), 1971-2007• Germany (06-06 UTC), 1989-2007

• COSMO-LEPS reforecast QPFs (run by MeteoSwiss)• 30 years: 1971-2000• 1 member, nested on ERA40, COSMO v4.0• 1 run every three days at 12 UTC (+90h)

• COSMO-LEPS operational QPFs• 5 years: 2003-2007• 5-10-16 members (depending on the year), nested on selected members of the ECMWF Ensemble Prediction System• 1 run every day at 12 UTC (+120h)

• Emilia-Romagna Region, Northern Italy ( 22000 km2) • Switzerland ( 41000 km2)

• Germany ( 357000 km2)

data collection

study areas

Page 3: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

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no resolution

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no resolution

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Autumn 2003-2007 threshold: 95-th percentile fc: +18-42 h

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Germany

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no resolution

no skill

Switzerland

Autumn 2003-2007 threshold: 95-th percentile fc: +18-42 h

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0 0.2 0.4 0.6 0.8 1forecast probability

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Autumn 2003-2007 threshold: 95-th percentile fc: +20-44 h

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Emilia-Romagna

Results – comparison of calibration techniques

Attributes Diagramverification period:

2003-2007threshold:

95-th percentile

mm/24h

lead time: day 2

season: autumn

Page 4: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

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day 2 day 3 day 4 day 5forecast range

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rawcal CDFcal ANL cal LRcal anl Z

Emilia-Romagna

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day 2 day 3 day 4 day 5forecast range

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rawcal CDFcal ANL cal LRcal anl Z

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Switzerland

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Germany

Results – comparison of calibration techniques

increase of skill over Switzerland and Germany for the ensembles calibrated by CDF, LR and rainfall analogs

the calibrated ensembles perform worse than the raw ensemble over Emilia-Romagna

Brier Skill Scoreverification period: 2003-2007

season: autumnthreshold: 95-th percentile

Page 5: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

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day 2 day 3 day 4 day 5forecast range

BS

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rawcal CDFcal ANL cal LRcal anl Z

Emilia-Romagna

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rawcal CDFcal ANL cal LRcal anl Z

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day 2 day 3 day 4 day 5forecast range

Switzerland

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day 2 day 3 day 4 day 5forecast range

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rawcal CDFcal ANL cal LRcal anl Z

Germany

increase of skill over Switzerland and Germany for the ensembles calibrated by CDF and rainfall analogs

slight increase of skill over Emilia-Romagna for the ensembles calibrated by CDF and LR

Results – comparison of calibration techniques

Brier Skill Scoreverification period: 2003-2007

season: springthreshold: 95-th percentile

Page 6: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

the upper Reno river basin

response time

10-12 h

at the closure section

dimension

1000 km2

ensemble of TOPKAPI runs driven by COSMO-LEPS

every day 12 UTC

+120 h

t

autumn & spring 2003 - 2008

TOPKAPI(TOPographic Kinematic

APproximation and Integration)

physically-based distributed rainfall-runoff model

the hydrological model

Verification of the calibration - coupling of COSMO-LEPS with an hydrological model

Emilia-Romagna

the study catchment

the coupling strategy

Page 7: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

Autumn 2003-2008 95-th percentile warning level

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1

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day 2 day 3 day 4 day 5forecast range

nu

mb

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rawcdfanlrglobserved events

missed eventsverification period: 2003-2008

season: autumn

Verification of the calibration - coupling of COSMO-LEPS with an hydrological model

all the events missed by the raw and LR-calibrated ensembles up to day 4

reduction of misses for the ensembles calibrated by CDF and rainfall analogs

95-th percentile

Page 8: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

Autumn 2003-2008 95-th percentile warning level

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day 2 day 3 day 4 day 5forecast range

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rawcdfanlrgl

Verification of the calibration - coupling of COSMO-LEPS with an hydrological model

no false alarms for the raw and LR-calibrated ensembles

only for longer lead times, increase of false alarms for the ensemble calibrated by rainfall analogs

many false alarms for the ensemble calibrated by CDF

95-th percentile

false alarmsverification period: 2003-2008

season: autumn

Page 9: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

A beneficial impact on COSMO-LEPS QPFs is provided by the calibration over Switzerland and Germany.

No significant improvements result over Emilia-Romagna by the statistical analysis on the calibrated QPFs, but their coupling with an hydrological model reveals a beneficial impact of calibration on the reduction of missed events for the Reno river basin.

The choice of the best calibration method depends on the study area.

Need of generating correction functions which are weather-regime dependent in order to improve the performance of the calibration.

Concluding remarks

Page 10: CALIBRATION OF COSMO-LEPS QPF USING  REFORECASTS

Calibrated COSMO-LEPS QPF will be made available by the end of the year as a further product

Calibration with the CDF method will be first implemented, with the aim of implementing the analog method as a further step

ARPA-SIMC will continue to work on the improvement of the methodology (weather-regime dependent calibration)

COSMO could consider the possibility of investing to produce the reforecast of more ensemble members, to account for model error

Calibration implementation