© Crown copyright 2007 Forecasting weeks to months ahead Dr. Alberto Arribas Monthly-to-Decadal area, Met Office Hadley Centre Exeter, April 2014.

Slides:



Advertisements
Similar presentations
© Crown copyright 2007 Monthly-Seasonal forecasting Alberto Arribas Monthly to Decadal group, Met Office Hadley Centre Geneva, December 2011.
Advertisements

© Crown copyright 2007 A fully resolved stratosphere: Impact on seasonal forecasting Alberto Arribas Monthly-to-Decadal area, Met Office Hadley Centre.
The role of the stratosphere in extended- range forecasting Thomas Jung Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Germany.
LRF Training, Belgrade 13 th - 16 th November 2013 © ECMWF Sources of predictability and error in ECMWF long range forecasts Tim Stockdale European Centre.
© Crown copyright Met Office The Met Office high resolution seasonal prediction system Anca Brookshaw – Monthly to Decadal Variability and Prediction,
Caio A. S. Coelho Centro de Previsão de Tempo e Estudos Climáticos (CPTEC) Instituto Nacional de Pesquisas Espaciais (INPE) 1 st EUROBRISA.
Seasonal to decadal prediction of the Arctic Oscillation D. Smith, A. Scaife, A. Arribas, E. Blockley, A. Brookshaw, R.T. Clark, N. Dunstone, R. Eade,
© Crown copyright Met Office Decadal Climate Prediction Doug Smith, Nick Dunstone, Rosie Eade, Leon Hermanson, Adam Scaife.
© Crown copyright Met Office Improving seasonal forecasting: role of teleconnections Madrid. Febrero Alberto Arribas.
1NCAS-Climate, University of Reading
Climatology Lecture 8 Richard Washington Variability of the General Circulation.
The Potential for Skill across the range of the Seamless-Weather Climate Prediction Problem Brian Hoskins Grantham Institute for Climate Change, Imperial.
Matt Masek NWS Meteorologist, WFO North Platte, NE May 25, 2011.
Review of Northern Winter 2010/11
Overview Northern hemisphere extra-tropics El Niño Seasonal Climate – Winter Mike Blackburn Seasonal Climate Discussion, 14 April 2010.
UK Met Office seasonal forecast “warm winter”, based on >33% probability of warm tercile. Statistical method (May SST) forecast NAO+ Dynamical method (GloSea4)
Climate Review for WY 2004 and Outlook for WY 2005 Philip Mote Climate Impacts Group University of Washington Annual Fall Forecast Meeting October 26,
© Crown copyright Met Office GloSea4: the new Met Office Seasonal Forecasting System A. Arribas, M. Glover, D. Peterson, A. Maidens, M. Gordon, C. MacLachlan,
Oceans. Vertical ocean temperature profile Plimsoll line.
© Crown copyright Met Office Met Office seasonal forecasting for winter Jeff Knight (with thanks to many colleagues)
© Crown copyright Met Office Andrew Colman presentation to EuroBrisa Workshop July Met Office combined statistical and dynamical forecasts for.
Planetary Scale Weather Regimes: ENSO (El Niño Southern Oscillation): A global teleconnection, strongest in the Pacific, between the tropical oceans and.
© Crown copyright Met Office UK report for GOVST Matt Martin GOVST-V, Beijing, October 2014.
Exeter 1-3 December 2010 Monthly Forecasting with Ensembles Frédéric Vitart European Centre for Medium-Range Weather Forecasts.
SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.
© Crown copyright /0653 Met Office and the Met Office logo are registered trademarks Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1.
© Crown copyright Met Office CLIVAR Climate of the 20 th Century Project Adam Scaife, Chris Folland, Jim Kinter, David Fereday January 2009.
© Crown copyright Met Office Case Study: Seasonal Forecasting -- Theory and Examples Emily Wallace, Chris Gordon, Alberto Arribas, David Hein Bangkok,
© Crown copyright Met Office An Introduction to Long-range Forecasting Emily Wallace Nov 2012.
High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,
1. Global monsoon features Australian monsoon South American monsoon North American monsoon African monsoon Asian monsoon 2. Northern China winter drought.
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.
© Crown copyright Met Office Climate change and variability - Current capabilities - a synthesis of IPCC AR4 (WG1) Pete Falloon, Manager – Impacts Model.
© Crown copyright Met Office Decadal predictions of the Atlantic ocean and hurricane numbers Doug Smith, Nick Dunstone, Rosie Eade, David Fereday, James.
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
© Crown copyright Met Office The stratosphere and Seasonal to Decadal Prediction Adam Scaife, Sarah Ineson, Jeff Knight and Andrew Marshall January 2009.
© Crown copyright Met Office Implementation of a new dynamical core in the Met Office Unified Model Andy Brown, Director of Science.
Page 1© Crown copyright 2004 A Review of UK Met Office Seasonal forecasts for Europe (1-8 months ahead) Andrew Colman, Richard Graham Met Office Hadley.
CTB computer resources / CFSRR project Hua-Lu Pan.
Northwest European High Summer Climate Variability, the West African Monsoon and the Summer North Atlantic Oscillation Jim Hurrell, NCAR, & Chris Folland,
Beyond CMIP5 Decadal Predictions and the role of aerosols in the warming slowdown Doug Smith, Martin Andrews, Ben Booth, Nick Dunstone, Rosie Eade, Leon.
What is the Summer North Atlantic Oscillation (SNAO)?
Modes of variability and teleconnections: Part II Hai Lin Meteorological Research Division, Environment Canada Advanced School and Workshop on S2S ICTP,
Decadal Climate Prediction Project (DCPP) © Crown copyright 09/2015 | Met Office and the Met Office logo are registered trademarks Met Office FitzRoy Road,
Kristina Fröhlich, (DWD), Daniela Domeisen (Univ. Hamburg), Amy Butler (NOAA), Matthias Bittner (MPI), Wolfgang Müller (MPI), Johanna Baehr (Univ. Hamburg)
© Crown copyright Met Office Strategy for Seasonal Prediction Development: UKMO and WGSIP activities Adam Scaife Head Monthly to Decadal Prediction Met.
© Crown copyright Met Office The impact of initial conditions on decadal climate predictions Doug Smith, Nick Dunstone, Rosie Eade, James Murphy, Holger.
© Crown copyright Met Office Stratospheric Extension to the CHFP “S-CHFP” and links to WCRP-SPARC Adam Scaife WGSIP July 2010.
The ENSO Signal in Stratospheric Temperatures from Radiosonde Observations Melissa Free NOAA Air Resources Lab Silver Spring 1.
© Crown copyright Met Office Seasonal forecasting: Not just seasonal averages! Emily Wallace November 2012.
Integrating Climate Science into Adaptation Actions Alberto Arribas Kuala Lumpur, November.
© Crown copyright Met Office Predictability and systematic error growth in Met Office MJO predictions Ann Shelly, Nick Savage & Sean Milton, UK Met Office.
The impact of lower boundary forcings (sea surface temperature) on inter-annual variability of climate K.-T. Cheng and R.-Y. Tzeng Dept. of Atmos. Sci.
Page 1© Crown copyright 2007 Influence of ENSO on European Climate via the Stratosphere Sarah Ineson and Adam Scaife 2007.
The Met Office GloSea5 System
Richard Graham on behalf of GPC Exeter Met Office Hadley Centre
Richard Graham on behalf of GPC Exeter Met Office Hadley Centre
Seasonal outlook for summer 2017 over Japan
GPC-Seoul: Status and future plans
Teleconnections in MINERVA experiments
Met Office GPC Adam Scaife Head of Monthly to Decadal Prediction Met Office © Crown copyright Met Office.
Seasonal prediction of South Asian summer monsoon 2010: Met Office
ENSO-NAO interactions via the stratosphere
Prospects for Wintertime European Seasonal Prediction
Predictability of the NAO? Adam Scaife
GloSea4 – the new Met Office Hadley Centre seasonal forecast system
Strat-trop interaction and Met Office seasonal forecasting
GloSea4: the Met Office Seasonal Forecasting System
- = Bias Correction
Presentation transcript:

© Crown copyright 2007 Forecasting weeks to months ahead Dr. Alberto Arribas Monthly-to-Decadal area, Met Office Hadley Centre Exeter, April 2014

We have a different strategy to the rest of the world Hindcast length Frequency of system upgrades Centre's priorities Japan~ 30 yr5 yr Experimental USA~ 40 yr8 yr Link to re-analysis Europ. Centre~ 25 yr5 yr Med-range UK Met Office *14 yr1 yr Link to model development * Arribas et al., 2011: GloSea4 ensemble prediction system for seasonal forecasting. MWR. 139,

GloSea history -Summer 2009: GloSea4 becomes operational -Nov. 2010: -Vertical high-res (Full stratosphere) -Sea-ice assimilation (concentrations) -Updated hcst ( ) -May 2011: -Monthly system -Nov. 2012: GloSea5 -Horizontal high-res (N216 atm. / 0.25 ocn.) -NEMOVAR (3d-Var ocean initialisation) : -Updated physics -Increased hindcast length and ensemble size

Atmos & land surf: ERA-i Ocean: Seasonal ODA reanalysis Atmos & land surf: NWP anal Ocean/sea-ice : NEMOVAR GloSea5 runs completed daily 60 days6 months 30 th Jan th Feb Forecasts Hindcasts 15 days

Tropical Cyclones: World-wide Precipitation, wind all year

Tropical storm tracks: impact of resolution 1990s ~240 km horizontal resolution 2000s ~120 km horizontal resolution Observations

Today: GloSea5 ~53 km horizontal resolution Observations Tropical storm tracks: impact of resolution

El Nino / La Nina: World-wide precipitation and temperature all year

El Niño composites Forecast system (May -> JJA) Observations

© Crown copyright Met Office ForecastObserved ENSO Teleconnection: Prec. Nino - Nina DJF JJA Arribas et al., MWR, 2011

North Atlantic Oscillation: N.America & Europe Precipitation, temperature, wind DJF

Winters depend on which way the wind blows Weak P Gradient Cold advection into Europe Cold, calm and dry Winter 2009/10 Winter 2011/12 Strong P Gradient Warm advection into Europe Mild, stormy and wet

© Crown copyright Met Office North Atlantic Oscillation (winter)

Why does horizontal resolution matter? Improved Gulf Stream -> Improved Atl.Blocking Scaife et al., Geophys. Res. Lett., Low-res:1 deg ocean High-res:0.25 deg ocean

Predictability of the NAO NAO skill: correlation=0.6 (c.f. ECMWF 0.16, NCEP 0.25: not significant) Significant at the 99.5% level Retrospective winter forecasts from early November (20 yr hcst) r = 0.61 Ensemble Member Ensemble Mean Observations Scaife et al., Nat. Geo., 2014 (under review) MacLachlan et al., QJRMS, 2014 (under review)

Individual winters 92/93 – 11/12 Good agreement between pressure patterns in many individual years Scaife et al., Nat. Geo., 2014 (under review)