European Centre for Medium-Range Weather Forecasts

Slides:



Advertisements
Similar presentations
1 GlobModel The GlobModel study, initial findings and objectives of the day Zofia Stott 13 September 2007.
Advertisements

European EO data & model fusion ( to maximise the value of ESA EO Data ) Alan ONeill National Centre for Earth Observation.
Sub-seasonal to seasonal prediction David Anderson.
© European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer.
Numerical Weather Prediction Models
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
Introducing ECMWF Anna Ghelli
Uncertainty in weather and climate prediction by Julia Slingo, and Tim Palmer Philosophical Transactions A Volume 369(1956): December 13, 2011.
2012: Hurricane Sandy 125 dead, 60+ billion dollars damage.
Climate modeling Current state of climate knowledge – What does the historical data (temperature, CO 2, etc) tell us – What are trends in the current observational.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Numerical weather prediction from short to long range.
28 August 2006Steinhausen meeting Hamburg On the integration of weather and climate prediction Lennart Bengtsson.
Data assimilation of polar orbiting satellites at ECMWF
Francesca Marcucci, Lucio Torrisi with the contribution of Valeria Montesarchio, ISMAR-CNR CNMCA, National Meteorological Center,Italy First experiments.
Dr Mark Cresswell Model Assimilation 69EG6517 – Impacts & Models of Climate Change.
Grid for Coupled Ensemble Prediction (GCEP) Keith Haines, William Connolley, Rowan Sutton, Alan Iwi University of Reading, British Antarctic Survey, CCLRC.
Details for Today: DATE:18 th November 2004 BY:Mark Cresswell FOLLOWED BY:Literature exercise Model Assimilation 69EG3137 – Impacts & Models of Climate.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Dr Mark Cresswell Dynamical Forecasting 2 69EG6517 – Impacts & Models of Climate Change.
Status of RSA LAPS/MM5 System Sustainment John McGinley, Steve Albers*, Chris Anderson*, Linda Wharton NOAA Earth System Research Laboratory Global Systems.
1 Addressing Critical Skills Shortages at the NWS Environmental Modeling Center S. Lord and EMC Staff OFCM Workshop 23 April 2009.
June, 2003EUMETSAT GRAS SAF 2nd User Workshop. 2 The EPS/METOP Satellite.
© Crown copyright Met Office Plans for Met Office contribution to SMOS+STORM Evolution James Cotton & Pete Francis, Satellite Applications, Met Office,
Notes on reforecasting and the computational capacity needed for future SREF systems Tom Hamill NOAA Earth System Research Lab presentation for 2009 National.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Climatology of Hurricane.
Page 1© Crown copyright 2006 Matt Huddleston With thanks to: Frederic Vitart (ECMWF), Ruth McDonald & Met Office Seasonal forecasting team 14 th March.
Global Observing System Simulation Experiments (Global OSSEs) How It Works Nature Run 13-month uninterrupted forecast produces alternative atmosphere.
Course Evaluation Closes June 8th.
1 Results from Winter Storm Reconnaissance Program 2008 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
Application of Numerical Weather Prediction Prognoses to Operational Weather Forecasting in Hong Kong Pre-CAS Technical Conference on "Environmental Prediction.
Lennart Bengtsson ESSC, Uni. Reading THORPEX Conference December 2004 Predictability and predictive skill of weather systems and atmospheric flow patterns.
National Centers for Environmental Prediction: “Where America’s Climate, Weather and Ocean Services Begin” An Overview.
Climate Prediction Center: Challenges and Needs Jon Gottschalck and Arun Kumar with contributions from Dave DeWitt and Mike Halpert NCEP Production Review.
Vincent N. Sakwa RSMC, Nairobi
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
© Crown copyright Met Office Predictability and systematic error growth in Met Office MJO predictions Ann Shelly, Nick Savage & Sean Milton, UK Met Office.
Energy efficient SCalable
European Centre for Medium-Range Weather Forecasts
Plans for Met Office contribution to SMOS+STORM Evolution
GPC-Seoul: Status and future plans
holds a Ph. D. in tropical meteorology, M. Tech
Course Evaluation Now online You should have gotten an with link.
WMO Space Programme Update
Course Evaluation Now online You should have gotten an with link.
How do models work? METR 2021: Spring 2009 Lab 10.
seasonal prediction for Myanmar
Shuhua Li and Andrew W. Robertson
Predictability of 2-m temperature
Copernicus Global Land monitoring service
Course Evaluation Now online You should have gotten an with link.
WORLD CLIMATE RESEARCH PROGRAMME
Hui Liu, Jeff Anderson, and Bill Kuo
Open Science Conference
Sub-seasonal prediction at ECMWF
Modeling the Atmos.-Ocean System
Links with GEO.
Exploring Application of Radio Occultation Data in Improving Analyses of T and Q in Radiosonde Sparse Regions Using WRF Ensemble Data Assimilation System.
Causes of improvements to NWP (1979 – 2009)
Predictability assessment of climate predictions within the context
AGREPS – ACCESS Global and Regional Ensemble Prediction System
ECMWF activities: Seasonal and sub-seasonal time scales
NWP Strategy of DWD after 2006 GF XY DWD Feb-19.
Update of NMC/CMA Global Ensemble Prediction System
SPECS: Climate Prediction for Climate Services
MOGREPS developments and TIGGE
AGREPS – ACCESS Global and Regional EPS
Poster Session: Numerical Weather Prediction at MeteoSwiss
Data Curation in Climate and Weather
Presentation transcript:

European Centre for Medium-Range Weather Forecasts ECMWF STRATEGY 2016-2025: THE STRENGTH OF A COMMON GOAL European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL ECMWF’s purpose is to develop a capability for medium-range weather forecasting and to provide such weather forecasts to the Member and Co-operating States ECMWF is complementary to the National Meteorological Services and works with them in research, numerical weather predictions, supercomputing and training. European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Evolution of ECMWF medium-range skill over the past 35 years European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Evolution medium-range skill (NH Z500>0.8) European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL New emphasis: Percentage of large 2m temperature errors in the ensemble European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL The size of the challenge # 1 The difficulty: Sharp ensembles two weeks ahead Severe weather: Hurricane Bertha 6-9 days 2-5 days European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts The size of the challenge # 2 THE STRENGTH OF A COMMON GOAL Springtime cold spell over Europe 2m Temperature, 17-23 April 2017 European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Forecast targets by 2025 Ensemble predictions of high impact weather up to two weeks ahead Seamless approach, aiming towards predictions of large scale patterns and regime transitions up to four weeks ahead and global-scale anomalies up to a year ahead European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts Goals THE STRENGTH OF A COMMON GOAL Research at frontiers of knowledge Ensemble-based analyses and predictions that raise the international bar for quality and operational reliability reaching a 5 km horizontal resolution European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL How do we achieve these goals? Observations High resolution ensemble Earth-system Scalability Funding People European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Use of satellite data at ECMWF ECMWF processes an average of 40 million observations every day, from over 70 instruments. Collaboration with sister organisation EUMETSAT, and also ESA, CMA, JMA, NASA, NOAA among others ensures that ECMWF has access to the observations meteorology requires. European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Contributions to WIGOS data quality monitoring system In situ observation monitoring with data from ECMWF, NCEP, DWD and JMA Data availability and quality European Centre for Medium-Range Weather Forecasts

IRMA operational v. 5km As IRMA had such large consequences in the Caribbean including for some of our MSs, we used this case study to have a first view of what a 5 lm ENS could look like. Still too expensive to run a large set of experiments on current computer, and no DA, but one single forecast with 51 members. Trajectories not too dissimilar although ens mean better. Fit to observed surface pressure remarkably improved.

European Centre for Medium-Range Weather Forecasts Pillar 1– we started a few years back to experiment with an Earth system approach, and the new strategy places a strong emphasis on the positive results gained from such approach, and this a direction we are continuing to develop and implement. European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Availability and use of GTS snow depth information Impact of revised IMS snow cover assimilation on rms 1000hPa temperature and humidity errors   European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Impact of coupled assimilation during a cyclone The dotted line shows the time series of ocean temperature observations at a depth of 40 metres by an Argo float located on the track of the cyclone Phailin. European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts Seamless modelling systems THE STRENGTH OF A COMMON GOAL Scientific and infrastructure advantages of convergence of approaches across timescales Seasonal SEAS5 only differs from the 43r1 ENS extended (monthly) system when testing demonstrated clear improvement in forecast skill or mean state Horizontal (Tco319/ORCA25) and vertical resolution (L91/L75) identical Improvements found on one timescale applicable for others Decreasing non-orographic gravity wave drag ameliorates the effect of stratospheric temperature and winds biases on the QBO Preferred seasonal setting now found suitable for adoption for medium-range to monthly SEAS4 43r1 SEAS5 Forecast lead (months) Layout out the targets for our forecasts European Centre for Medium-Range Weather Forecasts

ECMWF Scalability Programme Governance: ECMWF, Member states, Regional consortia Projects: Observation processing: Lean workflow in critical path Object based data store Screening/bias correction Data assimilation: Flexible algorithms (C++) IFS integration Coupling with ocean and sea-ice Parallel minimization Numerical methods: Numerical methods h/v/t-discretization, multiple grids Prognostic variables, coupling Model output processing: Broker-worker workflow Near-memory processing Data compression Code adaptation: · Benchmarking · Vectorization · Programming models · Precision · DSL/libraries · Transition to operations Computer architecture support: · Benchmarking · Novel architectures · Compilers · Vendor support · Transition to operations European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts Scalability across the NWP chain: Single precision to deliver efficiency gains Moving to another prospect, the possibility to run on single precision. How much faster can our weather forecasts run with single precision? The magnitude of savings with single precision depends on various factors. When computing speed is limited by memory bandwidth, single precision can typically increase performance by a factor of two since data volume is halved. If floating point operations are the performance bottleneck, the speed-up factor will depend on the level of code vectorization. Single precision is twice as efficient when the code is fully vectorised. For forecast simulations with the ECMWF IFS on our Cray supercomputer, single precision runs are typically ~40% faster compared to double precision references. However, those numbers depend on the model resolution and the number and configuration of processors that are used in parallel. The use of single precision will potentially allow significant savings of computing cost in the near-term future and an increased throughput on supercomputers. Single precision will also help us to perform tests with the IFS at very high resolution. For these simulations, a very large number of computing nodes is needed to fit the model into the memory that is available. Single precision is reducing memory requirements significantly and less nodes can be used. Tests with single precision in simulations at 2.5 and 1 km global resolution are being performed at the moment. Another interesting factor of this project is that it started as part of a type of collaboration that we have created a few years back, the ECMWF Fellowship, whereas we invite an academic to work with our teams on a specific area of work. Single precision was started as part of Tim Palmer and his team at Oxford University’s Fellowship. Surface temperature in degree Celsius for five day forecasts for 8th January 2017 0:00 UTC. This date is during the European cold wave that caused very low temperature in Eastern and Central Europe. Results are shown for single precision and double precision simulations at 9km (TCo1279) resolution (left and middle) and the analysis as a reference (right). Differences between single and double precision are very small. European Centre for Medium-Range Weather Forecasts

ExtremeEarth co-design approach How What

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL Collaboration Partnering with universities, research institutes and NHMSs Strategic partnerships in Earth observation Providing collaborative data bases (e.g. TIGGE, S2S) European Centre for Medium-Range Weather Forecasts

European Centre for Medium-Range Weather Forecasts THE STRENGTH OF A COMMON GOAL In summary Operational forecasts AND Research High-impact weather, regime transitions and global-scale anomalies Integrated ensemble at 5km resolution by 2025 Earth-System model and analysis Scalable computation Environmental information services: Copernicus Collaboration European Centre for Medium-Range Weather Forecasts