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Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Data mining in the joint D- PHASE and COPS archive Mathias.

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Presentation on theme: "Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Data mining in the joint D- PHASE and COPS archive Mathias."— Presentation transcript:

1 Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Data mining in the joint D- PHASE and COPS archive Mathias W. Rotach, Marco Arpagaus Manfred Dorninger, Christoph Hegg, Andrea Montani, Roberto Ranzi, Volker Wulfmeyer COPS Workshop Hohenheim, 27-29 January 2008

2 2 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Data mining Data mining is the application of statistical - mathematical methods on a data set with the goal of pattern recognition. Thereby in particular those methods will be applied, which have excellent asymptotic run times. Thus data mining is often applied in connection with large data sets. Wikipedia

3 3 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What is available? 7 probabilistic and 23 high-resolution deterministic atmospheric models 7 coupled hydrological models (deterministic and probabilistic) Lots of model runs Lots of data

4 4 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What is available? 6 months, 180 days, 4380 hours > 10‘000 model runs (only atmospheric) > 20‘000‘000 warnings > 50‘000‘000 graphic files (only atmospheric) > 50‘000‘000 model fields (COPS domain, JJA ) from high-resolution models All stored at DA in Hamburg....and made possible through collaboration with COPS

5 5 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What can be done? Evaluate numerical models using COPS data --> find model deficiencies --> investigate key processes in orographic precipitation --> case studies Expect many examples

6 6 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What can be done? Evaluate numerical models in D-PHASE Domain Example: COSMO-LEPS SYNOP reports over the MAP D-PHASE (about 470 stations each day) 12h-cumulated precipitation Courtesy Chiara Marsigli and Andrea Montani, ARPA-SIM

7 7 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) COSMO-LEPS Verification Brier Skill Score, JJA, D-PHASE domain, 12h, 10mm 2007 --> forecast range --> BSS

8 8 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) COSMO-LEPS Verification ROC area, JJA, D-PHASE domain, 12h, 10mm --> forecast range --> ROC area

9 9 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Ensemble System - biases COSMO-LEPS reforecasts 30 yrs for each day --> Correct for systematic model errors (spatial & temporal) --> Calibrate over the whole model domain --> Increase the skill (reliability) of the forecast --> Infer on extremity of the forecast Courtesy Felix Fundel, MeteoSwiss & NCCR Climate

10 10 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) New warning index: Probability to exceed a Return Period, PRP Approach: - Use the model climatology to find a return level for a certain return period (for each grid point) - Find number of forecasts exceeding the return level - Give a probability to exceed the return level/period (PRP) (- Use Extreme Value Aanalysis for very rare events (e.g. fit of a GPD)) Syntax: PRP x = Probab. to exceed an event occurring with a return period according to the x-quantile Example: PRP 0.8 = event occurs every 5th day COSMO-LEPS reforecast

11 11 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Warning Product PRP PRP.994 (once in 6 Augusts) 24h rainfall 2007.08.08-2007.08.09

12 12 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Warning Product PRP x

13 13 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Warning Product Warngram

14 14 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Verification Verification of the PRP x Domain Switzerland Verification on CLEPS 10km x 10km grid PRP x from observations necessary Compare uncalibrated to calibrated PRP x 24h total precipitation 1971-2000 >440 stations in Switzerland interpolated on CLEPS grid at least 3 Stations/grid point search radius 2-4 grid points distance weighting Observation Climatology

15 15 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Verification Relative improvement

16 16 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Verification Relative improvement

17 17 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Verification Relative improvement

18 18 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What can be done? Compare different high-resolution models Example: Radar data composit over Switzerland Summer (JJA) 2007 Courtesy Felix Ament, MeteoSwiss

19 19 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Verification of precipitation amount Switzerland, summer (JJA) Individual warning region, summer (JJA) Individual warning region, 3h resolution, summer (JJA)

20 20 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Warngings – yellow level (yellow = frequency 10x per year) Warning frequency 0.91 Probability to correctly warn (hit rate) 51% False alarm ratio 45% and but COSMO-2

21 21 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What can be done? Investigate properties of ensemble systems @ small scales Single model vs. multi model --> ‚micro PEPS‘ (Michael Denhard, DWD) Initial perturbations --> lagged ensembles --> physical perturbation --> spread-skill relations Predictability (convection)

22 22 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) What can be done? All the hydrological components..... Countesy S. Jaun ETHZ

23 23 D-PHASE | COPS Workshop, 27-29 January 2008 Hohenheim, D Mathias Rotach (matias.rotach [at] meteoswiss.ch) Summary Lots of possibilities Let‘s just do it!


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