Prediction for Climate Services

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Presentation transcript:

Prediction for Climate Services SPECS Climate Prediction for Climate Services F.J. Doblas-Reyes ICREA, IC3 and BSC-CNS, Barcelona, Spain

Climate prediction Progression from initial-value problems with weather forecasting at one end and multi-decadal to century projections as a forced boundary condition problem at the other, with climate prediction (sub-seasonal, seasonal and decadal) in the middle. Prediction involves initialization and systematic comparison with a simultaneous reference. Initial-value driven Boundary-condition driven Time Weather forecasts Subseasonal to seasonal forecasts (2 weeks-18 months) Decadal forecasts (18 months-30 years) Climate-change projections Adapted from Meehl et al. (2009) 2 SPECS: Climate Predictions for Climate Services, 14 September 2015

Decadal forecast quality CMIP5 Global mean near-surface air temperature over the ocean (one-year running mean applied) from CMIP5 hindcasts. Each system is shown with a different colour. NCEP and ERA40/Int used as reference. Examples of shock, drift and large systematic error can be found. 2-5 IPCC AR5 WGI (2013) 3 SPECS: Climate Predictions for Climate Services, 14 September 2015

SPECS motivation What: to produce quasi-operational and actionable local climate information Why: need information with improved forecast quality, a focus on extreme climate events and enhanced communication and services for RCOFs, NHMSs and a wide range of public and private stakeholders How: with a new generation of reliable European climate forecast systems, including initialised ESMs, efficient regionalisation tools and combination methods, and an enhanced dissemination and communication protocol Where: over land, focus on Europe, Africa, South America When: seasonal-to-decadal time scales over the longest possible observational period http://www.specs-fp7.eu SPECS: Climate Predictions for Climate Services, 14 September 2015

SPECS: Overall strategy Links to EUPORIAS/NACLIM, but also IS-ENES2, PREFACE, EUCLEIA, CLIPC, … Climate data is not climate information SPECS: Climate Predictions for Climate Services, 14 September 2015

Generalised empirical forecasts Empirical forecasts of one-month lead temperature (right panel) and precipitation using a wide range of observed predictors. Eden et al. (2015) 6 SPECS: Climate Predictions for Climate Services, 14 September 2015

Starting before 1960 Four-year average SST over the North Atlantic (80ºW-10ºW,40ºN-60ºN) of (black) 20CR, (green) the assimilation simulation, (red) the 2-5 year MPI extended hindcasts and (blue) the uninitialzed run. The extended period improves the robustness of the results. Müller et al. (2014) 7 SPECS: Climate Predictions for Climate Services, 14 September 2015

No shortcuts: ensemble size CNRM-CM’s correlation for ensemble-mean predictions of DJF (one-month lead time) tropical precipitation, Northern Hemisphere Z500 and NAO as a function of the ensemble size. Red lines for 90% confidence interval. M. Déqué (Météo-France) 8 SPECS: Climate Predictions for Climate Services, 14 September 2015

without volcanic aerosol Near-surface air temperature Eruptions and predictions EC-Earth2.3 simulations of volcanic aerosol impact for Pinatubo. Five-member ensembles initialised on the 1 November 1990. No consistent treatment of volcanic aerosol and ozone. without volcanic aerosol with volcanic aerosol T50 Near-surface air temperature M. Ménégoz (IC3) 9 SPECS: Climate Predictions for Climate Services, 14 September 2015

Service-driven forecasts Reliability diagrams of initialised MME for left) basin-wide ACE and centre) U.S. ACE and right) uninitalised MME U.S. ACE 1-5 year forecasts for anomalies above the mean over 1961-2009. Statistically significant values are in bold. Caron et al. (2015) 10 SPECS: Climate Predictions for Climate Services, 14 September 2015

Data dissemination Centralised data repository at BADC with files using a convention building on both CMIP5 and CHFP and that is expected to become the basis for CMIP6. Data published on the ESG after quality control reachable by other SPECS-related services (ECOMS UDG, Climate Explorer, etc). Multiple sensitivity experiments and NMME data available. 11 SPECS: Climate Predictions for Climate Services, 14 September 2015

Downstream services The SPECS data are now visible from the Climate4impact portal http://climate4impact.eu. Lots of work still missing: e.g. use cases and processing demonstration video for climate predictions 12 SPECS: Climate Predictions for Climate Services, 14 September 2015

Common tools for verification SPECS: Climate Predictions for Climate Services, 14 September 2015

Fact sheets A series of fact sheets has been started (available from the SPECS web site). Common vocabulary with EUPORIAS, targeting a wide audience, mimicking some material already existing to explain what climate change is. SPECS: Climate Predictions for Climate Services, 14 September 2015