1 / 28

Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre

Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre Presenter: Richard Graham ECMWF Forecast Products Users Meeting, 15-17th June 2005. Outline. Brief summary 2004/5 Recent Met Office (GloSea) seasonal forecasts New website products

Télécharger la présentation

Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre Presenter: Richard Graham ECMWF Forecast Products Users Meeting, 15-17th June 2005

  2. Outline • Brief summary 2004/5 • Recent Met Office (GloSea) seasonal forecasts • New website products • Multi-model forecast combination/calibration

  3. Overview, 2004/5 • Met Office GloSea model (version of HadCM3) • main tool for seasonal prediction – used in conjunction with statistical methods • now runs in parallel configuration with system2 in ECMWF Op. suite (multi-model) • 15-member hindcasts 1987-present have been completed (12 starts/year) • Met Office seasonal forecast website update - planned for July • multi-model products (temperature and precipitation) • probability for outer-quintile categories • extensive upgrade of verification/validation information • (research on multi-model combination/calibration) • Use of ECMWF monthly system • Met Office post-processed products supplied to various end users • Talks: Bernd Becker and Stefan Meulemans - later today • EU ENACT project completed • 43-year global ocean re-analyses, different models and ODA methods • analysis quality assessed through seasonal forecast impacts

  4. Recent forecasts: Nino3.4 SST anomaly, Dec04 – May05 Dec04 Jan05 Feb05 May05 Mar05 Apr05

  5. Recent forecasts:Outer-quintile temperature forecasts and verif DJF04/05 P(outer quintile) >40% IRI verification

  6. Skill assessment for outer quintiles – new website products

  7. Hindcast datasets used • BACKRUNS (‘operational’ set) • period: 1987-present (16 yrs, 1987-2002, used here) • 15-member ensemble • allows skill assessment for higher order (than tercile) categories • DEMETER (‘research’ set) • period: 1959-2001 (43 yrs) • 9-member ensemble

  8. BACKRUNS verification: temperature, ROC: selectable by region/initial date/lead time: Example for Central America, JJA, 1-month lead (1987-2002) terciles outer-quintiles

  9. BACKRUNS verification: precipitation, ROC: selectable by region/initial date/lead time: Example for Central America, JJA, 1-month lead (1987-2002) terciles outer-quintiles

  10. BACKRUNS: ROC skill mapsExample for 2m temperature, JJA, 1m lead from GloSea hindcasts 1987-2002 (16 yrs) local gridpoint ROC scores (area under the curve) Event = temperature in upper tercile Event = temperature in upper quintile Skill for outer-quintile ‘extremes’ similar to that for outer terciles NB. But sample of events is smaller

  11. DEMETER: ROC skill mapsExample for 2m temperature, JJA, 1m lead from GloSea DEMETER hindcasts 1959-2001 (43 yrs) local gridpoint ROC scores (area under the curve) Event = temperature in upper tercile Event = temperature in upper quintile

  12. BACKRUNS verification: precipitation, reliability: selectable by region/initial date/lead time: Example for Central America, JJA, 1-month lead (1987-2002) terciles outer-quintiles

  13. European multi-model probability of well-above/below temperatures, Jun-Jul-Aug GloSea GloSea+ECMWF multi-model well above well below

  14. multi-model combination, calibration prediction of decile ‘extremes’

  15. Discriminant Analysis for multi-model combining/calibration Generalised squared distance; where, t category of interest (eg. upper quintile) x vector of predictor variables (elements = eg. t2m from different models) mtcorresponding vector of mean predicted values (from hindcasts) when category ‘t’ was observed (cross validated) S covariance matrix for different predictors (models) Predicted probability of category ‘t’ given by… Take average of pt(x) over all ensemble members

  16. Area with BS > 95% significant for 2m tempouter quintiles DEMETER (1959-1999) All seasons 0,1,2,3 months lead Black: Raw Ensemble GloSea. Red: Raw Ensemble Multi-model Blue: Discriminant GloSea.Green: Discriminant Multi-model.

  17. Area with ROC skill > 95% significant 2m tempDEMETER (1959-1999) All seasons 0,1,2,3 months lead Black: Raw Ensemble GloSea. Red: Raw Ensemble Multi-model Blue: Discriminant GloSea.Green: Discriminant Multi-model.

  18. European multi-model probability of well-above/below temperatures, Jun-Jul-Aug GloSea GloSea calibrated well above well below

  19. ROC significance for calibrated forecasts of outer deciles: temperature, Europe, JAS (1959-1999) GloSea GloSea+ system2+ Meteo-France Multi-model >95% significance

  20. ROC significance for calibrated forecasts of outer deciles: temperature, Europe, AMJ (1959-1999) GloSea GloSea+ system2+ Meteo-France Multi-model >95% significance

  21. Summary + key plans • New website products – July 05 • Multi-model • Outer-quintiles probabilities • Expanded verification information • Next year • Calibrated products • Higher order extremes (deciles) • Need to resolve trade off between reliability and resolution • EU ENSEMBLES project • Investigate multi-annual/decadal skill • Compare ensemble initialisation strategies • Next generation GloSea • Investigate/prepare new Hadley Centre climate model (HadGEM1) for use in seasonal prediction

  22. ENSEMBLES project: Met Office seasonal/multi-annual/decadal runs Model GloSea (HadCM3) DePreSys (HadCM3) Current oper. range Seasonal (6months) decadal Hindcasts period: 1991 - 2001 GloSea: ->7m: 1st/15th May/Nov 1st June/Dec ->14m: 1st May/June/Nov/Dec -> 10y: 1st May 1964, 1994 DePreSys: -> 10y: 1st May/Nov (all years) assimilation method Conventional (OI type) calibrated anomalies 9-ensemble experiments 1991-2001 pert. ODA pert. phys. pert. phys. lagged avge lagged avge

  23. Questions & Answers

  24. Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre Presenter: Richard Graham ECMWF Forecast Products Users Meeting, 15-17th June 2005

  25. Outer quintile temperature forecasts and verif FMA 05 P(outer quintile) >40% IRI verification

  26. Seasonal forecasting system : GloSea • Enhanced version of the Hadley Centre Climate model HadCM3 • Six month real-time 41 member ocean atmosphere global forecast ensemble • 5 ocean analyses from perturbed wind stresses • Ocean analyses further perturbed with instantaneous SST perturbations • hindcast (‘BACKRUN’) period, 1987-present (1987-2002 used here) Retrospective Forecasts - 15 member ensemble Atmosphere NWP/re- analyses Real - Time Forecast 41 member ensemble 15 member Ocean Analysis - 5 member ensemble 1987 1988 2004

  27. BACKRUNS verification: temperature, reliability: selectable by region/initial date/lead time: Example for Central America, JJA, 1-month lead (1987-2002) terciles outer-quintiles

  28. Discriminant Analysis • used to calibrate dynamical forecasts and combine ensembles from multi-model • Multi-variate: different predictors (models) considered together, relative skill taken into account Pdfs for above, middle and below terciles, given value of a predictor (illustration) Calculated using historical data and hindcasts

More Related