© Crown copyright Met Office Technical developments at the Met Office Matthew Glover.

Slides:



Advertisements
Similar presentations
Met Office Hadley Centre, FitzRoy Road, Exeter, Devon, EX1 3PB United Kingdom Tel: +44 (0) Fax: +44 (0)
Advertisements

Coupled Arctic Regional Atmosphere-Ocean-Sea Ice Model Minwei Qian and Colin Jones.
© Crown copyright Met Office NEMOVAR status and plans Matt Martin, Dan Lea, Jennie Waters, James While, Isabelle Mirouze NEMOVAR SG, ECMWF, Jan 2012.
© Crown copyright Met Office Met Office Unified Model I/O Server Paul Selwood.
Numerical Weather Prediction Models
© Crown copyright Met Office Alerts and Warnings James Common Alerting Protocol (CAP) Implementation.
PRESENTS: FORECASTING FOR OPERATIONS AND DESIGN February 16 th 2011 – Aberdeen.
Part 1a: Overview of the UM system
WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”
NCAS Unified Model Introduction Part 1a: Overview of the UM system University of Reading, 3-5 December 2014.
© Crown copyright Met Office GloSea4: the new Met Office Seasonal Forecasting System A. Arribas, M. Glover, D. Peterson, A. Maidens, M. Gordon, C. MacLachlan,
European Network for Earth System Modeling (ENES) The PRISM Project Guy P. Brasseur Max Planck Institute for Meteorology Hamburg, Germany.
Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model Polly Smith, Alison Fowler & Amos Lawless School of.
© Crown copyright Met Office UK report for GOVST Matt Martin GOVST-V, Beijing, October 2014.
Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High-Resolution Regional Arctic Climate System Model (RAMC)
NSF NCAR | NASA GSFC | DOE LANL ANL | NOAA NCEP GFDL | MIT | U MICH First Field Tests of ESMF GMAO Seasonal Forecast NCAR/LANL CCSM NCEP.
© Crown copyright Met Office Forecasting Icing for Aviation: Some thoughts for discussion Cyril Morcrette Presented remotely to Technical Infra-structure.
IS-ENES Kick-off meeting Paris, March 2009 Overview of JRA2 European ESM: Performance Enhancement Graham Riley, University of Manchester IS-ENES Kick-off.
Climate change in the UK. Like the rest of the world, the UK must be prepared to face a changing climate. Climate projections are predictions of how the.
Metadata for the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) using the Earth System Modeling Framework (ESMF) Peter Bosler University.
High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,
© Crown copyright Met Office Atmosphere-Chemistry Model Coupling in the UK Earth System Model (UKESM) Richard Hill, April 2015 Credits: Marc Stringer,
© Crown copyright Met Office Case Study: Real world application of crop model impacts projections.
© Crown copyright Met Office Standard Operating Procedures in service to Disaster and Media Communities Sarah Davies 29 th November 2012.
What is a Climate Model?.
Page 1© Crown copyright 2005 Using metrics to assess ocean and sea ice simulations Helene Banks, Cath Senior, Jonathan Gregory Alison McLaren, Michael.
Climate Modeling Jamie Anderson May Monitoring tells us how the current climate has/is changing Climate Monitoring vs Climate Modeling Modeling.
Lessons learned from building and managing the Community Climate System Model David Bailey PCWG liaison (NCAR) Marika Holland PCWG co-chair (NCAR) Elizabeth.
The Australian Community Climate Earth-System Simulator The Australian Community Climate and Earth System Simulator Kamal Puri (ACCESS Group Leader)
© Crown copyright Met Office Challenges for weather and climate prediction – a UK perspective Nigel Wood, Dynamics Research, UK Met Office.
1 Monday, 26 October 2015 © Crown copyright Met Office Computing Update Paul Selwood, Met Office.
How do we predict weather and climate?. Review of last lecture Extratropical climate: Mean state: westerly winds, polar vortex Mean state: westerly winds,
Migration to Rose and High Resolution Modelling Jean-Christophe Rioual, CRUM, Met Office 09/04/2015.
COLPEX; Cold Air Pooling over Complex Terrain Bradley Jemmett-Smith 1 st year PhD RMets Conference 10 th July 2010.
Page 1© Crown copyright 2004 The Hadley Centre The forcing of sea ice characteristics by the NAO in HadGEM1 UK Sea Ice Workshop, 9 September 2005 Chris.
© Crown copyright Met Office Implementation of a new dynamical core in the Met Office Unified Model Andy Brown, Director of Science.
Seasonal Prediction Research and Development at the Australian Bureau of Meteorology Guomin Wang With contributions from Harry Hendon, Oscar Alves, Eun-Pa.
© Crown copyright Met Office Uncertainties in the Development of Climate Scenarios Climate Data Analysis for Crop Modelling workshop Kasetsart University,
© Crown Copyright Source: Met Office Polar Prediction Project (PPP) Update In 2001, the World Meteorological Congress decided to embark on a decadal.
Page 1© Crown copyright 2004 Development of a stochastic precipitation nowcast scheme for flood forecasting and warning Clive Pierce 1, Alan Seed 2, Neill.
Running a simple climate model + Can we run a climate model on our own computers?
Current state of ECHAM5/NEMO coupled model Wonsun Park, Noel Keenlyside, Mojib Latif (IFM-GEOMAR) René Redler (NEC C&C Research Laboratories) DRAKKAR meeting.
Page 1© Crown copyright 2005 Met Office plans for sea ice model development within a flexible modelling framework Helene Banks Martin Best, Ann Keen and.
Page 1 Andrew Lorenc WOAP 2006 © Crown copyright 2006 Andrew Lorenc Head of Data Assimilation & Ensembles Numerical Weather Prediction Met Office, UK Data.
© Crown copyright Met Office Deep moist convection as a governor of the West African Monsoon 1 UK Met Office, 2 University of Leeds, 3 National Centre.
Page 1© Crown copyright 2004 The Uses of Marine Surface Data in Climate Research David Parker, Hadley Centre, Met Office MARCDAT-2, Met Office, Exeter,
© Crown copyright Met Office Visualising Climate Impacts The importance of Google Maps and Earth in visualising climate impacts Diogo de Gusmão, Senior.
© Crown copyright Met Office Predictability and systematic error growth in Met Office MJO predictions Ann Shelly, Nick Savage & Sean Milton, UK Met Office.
School of Earth and Environment INSTITUTE FOR CLIMATE AND ATMOSPHERIC SCIENCE The UK Chemistry and Aerosol Project (UKCA)
Global Warming The heat is on!. What do you know about global warming? Did you know: Did you know: –the earth on average has warmed up? –some places have.
Arctic ice & ocean heat and freshwater fluxes: a new FAMOS coordinated experiment Sheldon Bacon National Oceanography Centre, Southampton, UK With thanks.
Experiences and Decisions in Met Office coupled ESM Development
Plans for Met Office contribution to SMOS+STORM Evolution
GPC-Seoul: Status and future plans
UNIFIED GLOBAL COUPLED SYSTEM (UGCS) FOR WEATHER AND CLIMATE PREDICTION Saha-UMAC-09Aug2016.
Evaluation of a scheme representing cloud inhomogeneous structure in the Australian Community Climate and Earth System Simulator (ACCESS)
A sensitivity study of the sea ice simulation in the global coupled climate model, HadGEM3 Jamie Rae, Helene Hewitt, Ann Keen, Jeff Ridley, John Edwards,
Testing multicomponent multiphysics climate models
Dave Bi, Peter Dobrohotoff, Arnold Sullivan
Weather forecasting in a coupled world
Unified Model I/O Server : Recent Developments and Lessons
Testing multicomponent multiphysics climate models
How will the earth’s temperature change?
4th WGNE Workshop on Systematic Errors in Weather and Climate Models
COMP60621 Fundamentals of Parallel and Distributed Systems
GloSea4 – the new Met Office Hadley Centre seasonal forecast system
GEOWOW update Richard Swinbank GIFS-TIGGE meeting March 2014
LO2 – Understand Computer Software
COMP60611 Fundamentals of Parallel and Distributed Systems
Presentation transcript:

© Crown copyright Met Office Technical developments at the Met Office Matthew Glover

© Crown copyright Met Office

Overview Data Centre DC power Cooling Coupled models Components Coupling Unified Model IO server NEMO-CICE Direct coupling

© Crown copyright Met Office The Met Office National Weather Service for the UK Climate Prediction (Met Office Hadley Centre) Operational and Research activities About 1,700 staff in 60 locations around the world

Collaboration

© Crown copyright Met Office The same model formulation is used for all models from climate scale to mesoscale The Unified Model Climate modelling: input into IPCC reports (Coupled Atmosphere-Ocean models) Seasonal forecasting: For commercial and business customers NWP: Public Weather Service WAFC, Commercial ……

© Crown copyright Met Office Data Centre

© Crown copyright Met Office Energy efficiency Supercomputer on DC power Free cooling Cold aisle containment Efficient cooling at lower power - motor efficiency

© Crown copyright Met Office IBM Phase2 Timescales: Frames accepted

© Crown copyright Met Office Coupling

© Crown copyright Met Office Coupling Schematic Simple example – 2 component system Atmos OASIS3 Ocean

© Crown copyright Met Office HadGEM3 Schematic UM Atmos OASIS3 NEMO Ocean CICE Sea ice

© Crown copyright Met Office Pseudo Parallel OASIS3 You can use more than one instance of OASIS3 Work is divided by field – i.e. TASK PARALLELISM e.g. instance 0 deals with SST and heat flux instance 1 deals with U, V and PME instance 2 deals with ice thickness and river runoff NEMO-CICE Atmos OASIS3

© Crown copyright Met Office Couplers

© Crown copyright Met Office Unified Model - IO Server

© Crown copyright Met Office N512 scalability – Nov 2010 Figure 1

© Crown copyright Met Office N512 scalability – Cray XE6 Thanks: Pier Luigi Vidale, NCAS. Climate model (atmosphere only) Preparation for real science on PRACE XE6

© Crown copyright Met Office Data output inhibits scaling Thanks to Martyn Foster for this plot

© Crown copyright Met Office Older I/O I/O

© Crown copyright Met Office I/O Server I/O

© Crown copyright Met Office Key design considerations Output units distributed over servers Server is threaded “Listener” receives data & puts in queue “Writer” processes queue including packing Ensures asynchronous behaviour First-in, first-out (FIFO) queue Preserves instruction order Metadata/Data split Data initially stored on compute processes Enables more data “in-flight” Data of same type combined into large messages

© Crown copyright Met Office How data gets output ComputeI/O ListenerWriter Thread 0 Thread 1

© Crown copyright Met Office Overloaded servers

© Crown copyright Met Office Well tuned…

© Crown copyright Met Office What savings do we get? 19%28%33%10%

© Crown copyright Met Office Nemo-Cice coupling

© Crown copyright Met Office Sea ice decomposition

© Crown copyright Met Office Nemo-Cice decomposition

© Crown copyright Met Office Direct coupling

© Crown copyright Met Office Direct vs Indirect – timings

© Crown copyright Met Office Direct vs Indirect – scaling

© Crown copyright Met Office Summary Data Centre DC power Free cooling; Cold aisle containment; Cooling motor efficiency Unified Model IO server Encouraging scaling on Cray XE6 NEMO-CICE Direct coupling Coupling Short term: Oasis3 Longer: continue with Oasis4?

© Crown copyright Met Office Questions and answers