DEMETER Development of a European Multi-model Ensemble System for

Slides:



Advertisements
Similar presentations
Page 1© Crown copyright 2004 Seasonal forecasting activities at the Met Office Long-range Forecasting Group, Hadley Centre Presenter: Richard Graham ECMWF.
Advertisements

LRF Training, Belgrade 13 th - 16 th November 2013 © ECMWF Sources of predictability and error in ECMWF long range forecasts Tim Stockdale European Centre.
ECMWF long range forecast systems
WCRP OSC 2011: Strategies for improving seasonal prediction © ECMWF Strategies for improving seasonal prediction Tim Stockdale, Franco Molteni, Magdalena.
Details for Today: DATE:3 rd February 2005 BY:Mark Cresswell FOLLOWED BY:Assignment 2 briefing Evaluation of Model Performance 69EG3137 – Impacts & Models.
ENSEMBLES RT4/RT5 Joint Meeting Paris, February 2005 Overview of Seasonal-to-Decadal (s2d) Activities during the Initial 18 Months Francisco J. Doblas.
Météo-France EUROSIP contribution: present, future and sensitivity experiments Jean-François Guérémy Michel Déqué, Jean-Philippe Piedelievre, Lauriane.
© Crown copyright Met Office Andrew Colman presentation to EuroBrisa Workshop July Met Office combined statistical and dynamical forecasts for.
ESA Project- Coupled Model Assimilation Year 1 workshop Aim: To establish coupled Atmosphere-Ocean assimilation system at ECMWF and demonstrate improved.
Caio A. S. Coelho Supervisors: D. B. Stephenson, F. J. Doblas-Reyes (*) Thanks to CAG, S. Pezzulli and M. Balmaseda.
Caio A. S. Coelho Department of Meteorology University of Reading Met Office, Exeter (U.K.), 20 February 2006 PLAN OF TALK.
Climate Forecasting Unit Second Ph’d training talk Prediction of climate extreme events at seasonal and decadal time scale Aida Pintó Biescas.
Climate Forecasting Unit Prediction of climate extreme events at seasonal and decadal time scale Aida Pintó Biescas.
Dr Mark Cresswell Dynamical Forecasting 2 69EG6517 – Impacts & Models of Climate Change.
First EUROBRISA Workshop17 March 2008The ENSEMBLES project Model uncertainty in climate forecasting from seasons to decades: the ENSEMBLES project Francisco.
DEMETER Taiwan, October 2003 Development of a European Multi-Model Ensemble System for Seasonal to Interannual Prediction   DEMETER Noel Keenlyside,
Available products for Seasonal forecasting J.P. Céron – Direction de la Climatologie.
EUROBRISA Workshop – Beyond seasonal forecastingBarcelona, 14 December 2010 INSTITUT CATALÀ DE CIÈNCIES DEL CLIMA Beyond seasonal forecasting F. J. Doblas-Reyes,
CIMA CHFP Data Server.
EUROBRISA WORKSHOP, Paraty March 2008, ECMWF System 3 1 The ECMWF Seasonal Forecast System-3 Magdalena A. Balmaseda Franco Molteni,Tim Stockdale.
Caio A. S. Coelho, D. B. Stephenson, F. J. Doblas-Reyes (*) and M. Balmaseda (*) Department of Meteorology, University of Reading and ECMWF (*)
Seasonal forecasting from DEMETER to ENSEMBLES21 July 2009 Seasonal Forecasting From DEMETER to ENSEMBLES Francisco J. Doblas-Reyes ECMWF.
© Crown copyright Met Office Extended-range forecasts for onset of the African rainy seasons examples and ideas for future work Michael Vellinga, Richard.
ENSEMBLES RT4/RT5 Joint Meeting Paris, February 2005 Overview of the WP5.3 Activities Partners: ECMWF, METO/HC, MeteoSchweiz, KNMI, IfM, CNRM, UREAD/CGAM,
3. Products of the EPS for three-month outlook 1) Outline of the EPS 2) Examples of products 3) Performance of the system.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Oscar Alves and the POAMA Team CAWCR (Centre.
Page 1© Crown copyright 2004 WP5.3 Assessment of Forecast Quality ENSEMBLES RT4/RT5 Kick Off Meeting, Paris, Feb 2005 Richard Graham.
Antje Weisheimer Meteorological Training Course 27 April 2006 Antje Weisheimer Multi-model ensemble predictions on seasonal to decadal timescales.
SASCOF 2010 Météo-France GCM forecasts JP. Céron – Météo-France
1 Malaquias Peña and Huug van den Dool Consolidation of Multi Method Forecasts Application to monthly predictions of Pacific SST NCEP Climate Meeting,
WGSIP12 – Miami - January 2009 – Impacts verification - Andy Morse Preliminary report on verification scores for malaria and the climate drivers DEMETER.
Verification of operational seasonal forecasts at RA-VI Regional Climate Center South East European Virtual Climate Change Centre Goran Pejanović Marija.
Predictability of Monthly Mean Temperature and Precipitation: Role of Initial Conditions Mingyue Chen, Wanqiu Wang, and Arun Kumar Climate Prediction Center/NCEP/NOAA.
1 Summary of CFS ENSO Forecast August 2010 update Mingyue Chen, Wanqiu Wang and Arun Kumar Climate Prediction Center 1.Latest forecast of Nino3.4 index.
Equatorial Atlantic Variability: Dynamics, ENSO Impact, and Implications for Model Development M. Latif 1, N. S. Keenlyside 2, and H. Ding 1 1 Leibniz.
ENSEMBLES: Seamless seasonal-to-decadal forecasting
GPC-Montreal - Status Report - March 2014
Mingyue Chen, Wanqiu Wang, and Arun Kumar
JMA Seasonal Prediction of South Asian Climate for OND 2017
JMA Seasonal Prediction of South Asian Climate for OND 2017
GPC-Seoul: Status and future plans
Teleconnections in MINERVA experiments
The 2016/2017 La Niña and S2S prediction for South-East Asia
Prediction for Climate Services
Middle-Range Ensemble Forecast at CPTEC/INPE - Current Activities
GPC CPTEC: Seasonal forecast activities update
Multi-model seasonal forecast Operational systems
Shuhua Li and Andrew W. Robertson
Assessment of the forecast quality of different seasonal climate prediction systems for the wind energy sector Doo Young Lee1, Albert Soret1, Veronica.
Seasonal-to-interannual climate prediction using a fully coupled OAGCM
Forecast Assimilation: A Unified Framework for the
Seasonal prediction of South Asian summer monsoon 2010: Met Office
Sub-seasonal prediction at ECMWF
Decadal Climate Forecasting Project
Progress in Seasonal Forecasting at NCEP
Seasonal Predictions for South Asia
Predictability of Indian monsoon rainfall variability
GIFS-TIGGE project Richard Swinbank, and Young-Youn Park,
Predictability assessment of climate predictions within the context
Linking operational activities and research
Deterministic (HRES) and ensemble (ENS) verification scores
SWFDP Key Issues for GIFS-TIGGE
T. Ose, T. Yasuda (MRI/JMA), Y. Takaya, S. Maeda, C. Kobayashi
Barcelona, 23 September 2015 Impact of resolution and initialisation in climate seasonal predictions F.J. Doblas Reyes.
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Forecasting the European wind drought of winter 2016/17 Case study
GloSea4: the Met Office Seasonal Forecasting System
Operational Seasonal Forecast Systems:
Decadal Climate Prediction at BSC
Ryan Kang, Wee Leng Tan, Thea Turkington, Raizan Rahmat
Presentation transcript:

DEMETER Development of a European Multi-model Ensemble System for Seasonal to Interannual Prediction Just to remind you of the meaning of DEMETER  Tim Palmer Renate Hagedorn Francisco Doblas-Reyes

Outline Hindcast production  Summary of all models  Estimate of ERA-40 production • Verification  Automatic diagnostics on web  First multi-model results Just the outline…

Multi-model assessment Hindcast verification End users, applications DEMETER Hindcast production Multi-model assessment Hindcast verification Downscaling End users, applications ERA40 EU and WMO programmes Diagram to summarize the basic structure of DEMETER and its main components as well as the interactions with other projects. ERA-40 is used as starting point for the hindcast production, hindcast verification and downscaling. Together with the important part of the multi-model assessment all these moduls “feed” into the DEMETER endusers applications as well as to other EU and WMO programmes.

DEMETER: Hindcast production • 9 member ensembles, 6 month hindcasts, 4 hindcasts per year ERA-40 initial conditions SST and wind perturbations • Main focus: 1987-1998 (1969-1986) 09/86 ERA40 fluxes 11/86 Ocean model integration (strong relaxation to observed SSTs) No SST Pert No WP + SST Pert Overview slide showing the participating DEMETER model components as well as a summary of the way of producing the DEMETER hindcast. In DEMETER ERA-40 is used as atmospheric forcing for the ocean analysis which are used as ocean initial conditions for the coupled integrations. Furthermore ERA-40 is also used directly as atmospheric initial conditions for the coupled integrations. The 6-month long coupled DEMETER hindcasts start 4 times per year (Feb, May, Aug, Nov). Each hindcast consists of 9 ensemble members which are created in applying wind stress and SST perturbations in the way shown in the sketch. - SST Pert + SST Pert + WP - SST Pert - WP

DEMETER: Hindcast production ERA-40: 10 years and 7 months ECMWF: 10*4 + 2 = 42 hindcasts LODYC: 10*4 + 1 = 41 hindcasts UKMO: 9*4 + 2 = 38 hindcasts CNRM: 8*4 + 2 = 34 hindcasts MPI: 6*4 + 1 = 25 hc Diagram to show the status of the DEMETER hindcasts, archived in MARS. 5 models are currently running at ECMWF and archiving into MARS. The limiting factor for producing new hindcasts is mainly the ERA-40 production. Additionally CERFACS is running a version of ARPEGE coupled to OPA (slightly different version of the ocean model than Meteo France is using) and is going to archive the results into MARS soon. The official sixth DEMETER model (Italian partner INGV) is running their model in Rome. They have produced the first years and going to archive the results into MARS (hopefully) soon. 09/86 04/97 11/86 11/92 02/95 02/96 02/97

Estimate of ERA-40 Production Stream 2 Stream 3 Stream 1 Diagram to show a (rough) estimate of the expected ERA-40 production. Due to unexpected problems (mainly in the handling of satellite data) we are experiencing a non negligible delay in the production of ERA-40 reanalysis data. This in turn slows down the DEMETER production dramatically. In DEMETER it was intended to produce a continuous set of 30 years hindcasts (1969-1998). This is not very likely (or should we say impossible?) to be achieved until the official end of the project (March 2003). As this diagram is showing, the crucial gaps in the DEMETER period won’t be closed until late 2003. However, we are currently working on a very user friendly tool for the data distribution of the available data. It is envisaged (and very likely) that at the end of 2002 there will be a facility at ECMWF to download free (!) and online(!) monthly means of the DEMETER hindcasts. By the way, this facility is very likely to be used as well for a subset of ERA-40 data. Finally, we are very confident that the “GRIB problem” will be solved as well, as we are planning to give the choice to download GRIB or NetCDF data!

Verification System Bias Indices Deterministic Scores Probabilistic Scores Single vs. multi-model results Additionally to the production of the DEMETER hindcasts, an automatic verification system has been installed at ECMWF. In this verification system a wide range of diagnostics are calculated, ranging from basic Bias and anomaly indices, deterministic and probabilistic scores (ACC, RMSSS, ROC, Reliability, RPSS) up to summarizing comparisons of the single vs. multi-model results. All results are freely accessible via the public DEMETER website. www.ecmwf.int/research/demeter/verification

Bias Example of an entry to the web site.

Value Example of an entry to the web site.

Anomaly Correlation Coefficient Further example of the diagnostics produced with the automatic verification system. Shown is the anomaly correlation coefficient at the gridpoint level for precipitation, calculated on the basis of the 2-4 month hindcasts from 1987-1995 (starting dates May -> hindcast JJA). All individual models show a kind of similar structure of distribution of skill, though on the regional scale remarkable differences can occur (see e.g. differences over India, Caribean, West Africa). The multi-model, mostly, is able to pick up the feature of the “best model”.

Multi-model DEMETER hindcasts ACC for Niño3 SST for Multimodel, ECMWF, MetFr, MetOf, and LODYC Diagram to compare the multi-model (comprising ECMWF, Meteo France, Met-Office, and LODYC) results vs. single model skill. Shown is the anomaly correlation coefficient for Nino3 SSTs over the 6 months hindcasts from 1987-1994. From lead time 2 months onwards the multi-model results outperform all single model results.

Multi-model DEMETER hindcasts Tropical RPSS (JJA) for Multimodel, ECMWF, MetFr, MetOf, and LODYC SST Precipitation The PDFs of the RPSS calculated over the tropical region (+- 30 degree Latitude, 0-360 degree Longitude) for SST or precipitation shows a shift of the multi-model PDF towards positive values. This implies a reduction of cases with negative skill in the multi-model, which is demonstrated as well by the larger value of the average over the region (number on the top right in the plots).

Multi-model DEMETER hindcasts Value (Tropics, JJA) for Multimodel, ECMWF, MetFr, MetOf, and LODYC SST Precipitation Anom> Anom> Anom>0 Anom>0 Comparison of the potential economic value depending on different event thresholds shows the added value in case of the multi-model.

Summary 5 DEMETER models are archiving into MARS  Hindcasts from 1987 – 1996 are available  Full DEMETER data set (1969-1998) not available before end of 2003  free (!) online (!) data retrieval very likely to be installed and working at the end of 2002 Wide range of diagnostic plots freely accessible on the DEMETER web site: www.ecmwf.int/research/verification Just a summary… First results demonstrate value of multi-model approach