The ECMWF prototype for coupled reanalysis. Patrick Laloyaux

Size: px
Start display at page:

Download "The ECMWF prototype for coupled reanalysis. Patrick Laloyaux"

Transcription

1 The ECMWF prototype for coupled reanalysis Patrick Laloyaux ECMWF July 10, 2015

2 Outline Current status and future plans for ECMWF operational reanalyses Extended climate reanalyses Coupled atmosphere-ocean reanalysis

3 Current status and future plans for ECMWF operational reanalyses Atmospheric and ocean reanalyses are produced separately Current atmospheric reanalysis: ERA-Interim Period: 1979 to present Analysis: atmosphere, land surface and ocean waves Model: IFS model (2006 version) Resolution: 80 km with 60 vertical levels Boundary conditions: SST and SIC IFS relies on external estimates (currently prescribed to OSTIA analysis product) Surface air temperature anomaly for 2010 for ERA-Interim and CRUTEM4 relative to

4 Current status and future plans for ECMWF operational reanalyses Atmospheric and ocean reanalyses are produced separately Next atmospheric reanalysis: ERA-5 Period: 1979 to present Analysis: atmosphere, land surface and ocean waves Model: IFS model (2015 version) Resolution: 32 km with 137 vertical levels Large effort devoted to the acquisition of new observational datasets the reprocessing of observational datasets used in operations

5 Current status and future plans for ECMWF operational reanalyses Atmospheric and ocean reanalyses are produced separately Current ocean reanalysis: ORAS4 Period: 1957 to present Analysis: ocean Model: NEMO model (V3.0) Resolution: ORCA1 with 42 vertical levels Boundary conditions: SST and SIC no prognostic sea-ice model, SIC is prescribed no SST observational data, a strong relaxation is applied 12-m running mean for SST anomaly in Eastern Pacific ( climate)

6 Current status and future plans for ECMWF operational reanalyses Atmospheric and ocean reanalyses are produced separately Next ocean reanalysis: ORAS5 Period: 1975 to present Analysis: ocean and sea-ice Model: NEMO model (V3.4) and LIM2 model Resolution: ORCA025 with 75 vertical levels Boundary condition: SST and SIC Assimilation of SIC measurements no SST observational data, a strong relaxation is applied

7 Extended climate reanalyses Focus on consistency and low-frequency climate variability (~ years) ECMWF atmospheric 20 th century reanalysis: ERA-20C Assimilate surface pressure and ocean surface winds from conventional instruments Safe approach to avoid the introduction of biases due to changes in the observing system 12-m running mean for precipitation anomaly averaged over Europe ( climate) ERA-20C represents well the inter-annual fluctuations for the whole century, especially from 1945 onwards

8 Coupled atmosphere-ocean assimilation ECMWF develops a coupled earth model for the Ensemble Prediction System (ENS) atmosphere IFS wave WAM land CHTESSEL ocean NEMO sea-ice LIM2 CERA is an assimilation system for the ECMWF coupled earth model assimilate simultaneously observations in atmosphere and ocean components based on an incremental variational approach with a common 24-hour window CERA-20C is a coupled 20th century reanalysis based on the CERA system Low-resolution model: 120km and ORCA1 A subset of observations: surface pressure and winds (ICOADS/ISPD) temperature and salinity (EN4) sea surface temperature (monthly HADISST2)

9 Positive impact of the coupled assimilation - Tropics Uncoupled and coupled assimilation systems compared for September 2010 over Tropics Negative values means that background temperature RMSE is smaller in the coupled assimilation system (with respect to conventional observations) Coupled assimilation produces estimates closer to near-surface observations

10 Positive impact of the coupled assimilation - cyclone Phailin Argo probe with high frequency measurements Ocean temperature analysis at 40-meter depth Uncoupled assimilation Coupled assimilation Coupled analysis has a stronger cold wake (closer to observations) October 29, 2014

11 Conclusions Replacement of the current ocean and atmospheric operational reanalyses at ECMWF is ongoing A coupled atmosphere-ocean assimilation system (CERA) has been developed: preliminary results are promising the production of a coupled 20 th century reanalysis will start this summer Works started on: sea-ice thickness validation using SMOS data investigation of SMOS assimilation with LIM3 model

Near-surface observations for coupled atmosphere-ocean reanalysis

Near-surface observations for coupled atmosphere-ocean reanalysis Near-surface observations for coupled atmosphere-ocean reanalysis Patrick Laloyaux Acknowledgement: Clément Albergel, Magdalena Balmaseda, Gianpaolo Balsamo, Dick Dee, Paul Poli, Patricia de Rosnay, Adrian

More information

CERA-SAT: A coupled reanalysis at higher resolution (WP1)

CERA-SAT: A coupled reanalysis at higher resolution (WP1) CERA-SAT: A coupled reanalysis at higher resolution (WP1) ERA-CLIM2 General assembly Dinand Schepers 16 Jan 2017 Contributors: Eric de Boisseson, Per Dahlgren, Patrick Lalolyaux, Iain Miller and many others

More information

The CERA-SAT reanalysis

The CERA-SAT reanalysis The CERA-SAT reanalysis Proof-of-concept for coupled DA in the satellite era Dinand Schepers, Eric de Boisséson, Phil Browne, Roberto Buizza, Giovanna De Chiara, Per Dahlgren, Dick Dee, Reima Eresmaa,

More information

The Coupled Earth Reanalysis system [CERA]

The Coupled Earth Reanalysis system [CERA] The Coupled Earth Reanalysis system [CERA] Patrick Laloyaux Acknowledgments: Eric de Boisséson, Magdalena Balmaseda, Dick Dee, Peter Janssen, Kristian Mogensen, Jean-Noël Thépaut and Reanalysis Section

More information

CERA: The Coupled ECMWF ReAnalysis System. Coupled data assimilation

CERA: The Coupled ECMWF ReAnalysis System. Coupled data assimilation CERA: The Coupled ECMWF ReAnalysis System Coupled data assimilation Patrick Laloyaux, Eric de Boisséson, Magdalena Balmaseda, Kristian Mogensen, Peter Janssen, Dick Dee University of Reading - 7 May 2014

More information

The ECMWF coupled data assimilation system

The ECMWF coupled data assimilation system The ECMWF coupled data assimilation system Patrick Laloyaux Acknowledgments: Magdalena Balmaseda, Kristian Mogensen, Peter Janssen, Dick Dee August 21, 214 Patrick Laloyaux (ECMWF) CERA August 21, 214

More information

The ECMWF coupled assimilation system for climate reanalysis

The ECMWF coupled assimilation system for climate reanalysis The ECMWF coupled assimilation system for climate reanalysis Patrick Laloyaux Earth System Assimilation Section patrick.laloyaux@ecmwf.int Acknowledgement: Eric de Boisseson, Per Dahlgren, Dinand Schepers,

More information

Coupled data assimilation for climate reanalysis

Coupled data assimilation for climate reanalysis Coupled data assimilation for climate reanalysis Dick Dee Climate reanalysis Coupled data assimilation CERA: Incremental 4D-Var ECMWF June 26, 2015 Tools from numerical weather prediction Weather prediction

More information

Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system

Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system La Spezia, 12/10/2017 Marcin Chrust 1, Anthony Weaver 2 and Hao Zuo 1 1 ECMWF, UK 2 CERFACS, FR Marcin.chrust@ecmwf.int

More information

ERA-CLIM: Developing reanalyses of the coupled climate system

ERA-CLIM: Developing reanalyses of the coupled climate system ERA-CLIM: Developing reanalyses of the coupled climate system Dick Dee Acknowledgements: Reanalysis team and many others at ECMWF, ERA-CLIM project partners at Met Office, Météo France, EUMETSAT, Un. Bern,

More information

Global climate predictions: forecast drift and bias adjustment issues

Global climate predictions: forecast drift and bias adjustment issues www.bsc.es Ispra, 23 May 2017 Global climate predictions: forecast drift and bias adjustment issues Francisco J. Doblas-Reyes BSC Earth Sciences Department and ICREA Many of the ideas in this presentation

More information

Ocean data assimilation for reanalysis

Ocean data assimilation for reanalysis Ocean data assimilation for reanalysis Matt Martin. ERA-CLIM2 Symposium, University of Bern, 14 th December 2017. Contents Introduction. On-going developments to improve ocean data assimilation for reanalysis.

More information

Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system

Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system Toulouse, 20/06/2017 Marcin Chrust 1, Hao Zuo 1 and Anthony Weaver 2 1 ECMWF, UK 2 CERFACS, FR Marcin.chrust@ecmwf.int

More information

Seasonal forecasting activities at ECMWF

Seasonal forecasting activities at ECMWF Seasonal forecasting activities at ECMWF An upgraded ECMWF seasonal forecast system: Tim Stockdale, Stephanie Johnson, Magdalena Balmaseda, and Laura Ferranti Progress with C3S: Anca Brookshaw ECMWF June

More information

Strongly coupled data assimilation experiments with a full OGCM and an atmospheric boundary layer model: preliminary results

Strongly coupled data assimilation experiments with a full OGCM and an atmospheric boundary layer model: preliminary results Strongly coupled data assimilation experiments with a full OGCM and an atmospheric boundary layer model: preliminary results Andrea Storto CMCC, Bologna, Italy Coupled Data Assimilation Workshop Toulouse,

More information

ECMWF: Weather and Climate Dynamical Forecasts

ECMWF: Weather and Climate Dynamical Forecasts ECMWF: Weather and Climate Dynamical Forecasts Medium-Range (0-day) Partial coupling Extended + Monthly Fully coupled Seasonal Forecasts Fully coupled Atmospheric model Atmospheric model Wave model Wave

More information

Reanalyses use in operational weather forecasting

Reanalyses use in operational weather forecasting Reanalyses use in operational weather forecasting Roberto Buizza ECMWF, Shinfield Park, RG2 9AX, Reading, UK 1 2017: the ECMWF IFS includes many components Model components Initial conditions Forecasts

More information

The ECMWF Extended range forecasts

The ECMWF Extended range forecasts The ECMWF Extended range forecasts Laura.Ferranti@ecmwf.int ECMWF, Reading, U.K. Slide 1 TC January 2014 Slide 1 The operational forecasting system l High resolution forecast: twice per day 16 km 91-level,

More information

T2.2: Development of assimilation techniques for improved use of surface observations

T2.2: Development of assimilation techniques for improved use of surface observations WP2 T2.2: Development of assimilation techniques for improved use of surface observations Matt Martin, Rob King, Dan Lea, James While, Charles-Emmanuel Testut November 2014, ECMWF, Reading, UK. Contents

More information

Climate reanalysis and reforecast needs: An Ocean Perspective

Climate reanalysis and reforecast needs: An Ocean Perspective Climate reanalysis and reforecast needs: An Ocean Perspective Hao Zuo with M. Balmaseda, S. Tietsche, P. Browne, B. B. Sarojini, E. de Boisseson, P. de Rosnay ECMWF Hao.Zuo@ecmwf.int ECMWF January 23,

More information

ERA5 and the use of ERA data

ERA5 and the use of ERA data ERA5 and the use of ERA data Hans Hersbach, and many colleagues European Centre for Medium-Range Weather Forecasts Overview Overview of Reanalysis products at ECMWF ERA5, the follow up of ERA-Interim,

More information

Uncertainties in (energy) budgets

Uncertainties in (energy) budgets Uncertainties in (enery) budets Thanks to Michael Mayer, John M. Edwards, Patrick Hyder, Andrea Storto, Marianne Pietschni, Sebastian Stichelberer, Eric Boisseson, Patrick Laloyaux, Elke Rustemeier, Markus

More information

CERA-SAT ocean component and further developments

CERA-SAT ocean component and further developments CERA-SAT ocean component and further developments Eric de Boisséson, Dinand Schepers, Patrick Laloyaux, Per Dahlgren, Yuki Kosaka, Giovanna De Chiara, Marcin Chrust, Magdalena Balmaseda, Phil Browne, Patricia

More information

REQUEST FOR A SPECIAL PROJECT

REQUEST FOR A SPECIAL PROJECT REQUEST FOR A SPECIAL PROJECT 2017 2019 MEMBER STATE: Sweden.... 1 Principal InvestigatorP0F P: Wilhelm May... Affiliation: Address: Centre for Environmental and Climate Research, Lund University Sölvegatan

More information

Kristian Mogensen, Philip Browne and Sarah Keeley

Kristian Mogensen, Philip Browne and Sarah Keeley NWP gaps and needs Kristian Mogensen, Philip Browne and Sarah Keeley Workshop on observations and analysis of sea-surface temperature and sea ice for NWP and Climate Applications ECMWF 22-25 January 2018

More information

Tropical Cyclones - Ocean feedbacks: Effects on the Ocean Heat Transport as simulated by a High Resolution Coupled General Circulation Model

Tropical Cyclones - Ocean feedbacks: Effects on the Ocean Heat Transport as simulated by a High Resolution Coupled General Circulation Model ISTITUTO NAZIONALE di GEOFISICA e VULCANOLOGIA Tropical Cyclones - Ocean feedbacks: Effects on the Ocean Heat Transport as simulated by a High Resolution Coupled General Circulation Model E. Scoccimarro

More information

Recent ECMWF Developments

Recent ECMWF Developments Recent ECMWF Developments Tim Hewson (with contributions from many ECMWF colleagues!) tim.hewson@ecmwf.int ECMWF November 2, 2017 Outline Last Year IFS upgrade highlights 43r1 and 43r3 Standard web Chart

More information

Evaluation of the IPSL climate model in a weather-forecast mode

Evaluation of the IPSL climate model in a weather-forecast mode Evaluation of the IPSL climate model in a weather-forecast mode CFMIP/GCSS/EUCLIPSE Meeting, The Met Office, Exeter 2011 Solange Fermepin, Sandrine Bony and Laurent Fairhead Introduction Transpose AMIP

More information

On assessing temporal variability and trends of coupled arctic energy budgets. Michael Mayer Leo Haimberger

On assessing temporal variability and trends of coupled arctic energy budgets. Michael Mayer Leo Haimberger On assessing temporal variability and trends of coupled arctic energy budgets Michael Mayer Leo Haimberger Motivation and outline Arctic climate system is subject to rapid changes and large interannual

More information

Intercomparison of the Arctic sea ice cover in global ocean-sea ice reanalyses

Intercomparison of the Arctic sea ice cover in global ocean-sea ice reanalyses Intercomparison of the Arctic sea ice cover in global ocean-sea ice reanalyses Matthieu Chevallier (CNRM, Météo France/CNRS) Greg Smith, Frédéric Dupont, Jean-François Lemieux (ECC Canada), Gilles Garric

More information

ECMWF Computing & Forecasting System

ECMWF Computing & Forecasting System ECMWF Computing & Forecasting System icas 2015, Annecy, Sept 2015 Isabella Weger, Deputy Director of Computing ECMWF September 17, 2015 October 29, 2014 ATMOSPHERE MONITORING SERVICE CLIMATE CHANGE SERVICE

More information

Accuracy and uncertainty of global ocean reanalyses in reproducing the OHC

Accuracy and uncertainty of global ocean reanalyses in reproducing the OHC Accuracy and uncertainty of global ocean reanalyses in reproducing the OHC Andrea Storto, Simona Masina, Chunxue Yang CMCC, Bologna, Italy CONCEPT-HEAT Exeter, UK 29/09-1/10 2015 C-GLORS Reanalysis: Skill

More information

Assimilation of SST data in the FOAM ocean forecasting system

Assimilation of SST data in the FOAM ocean forecasting system Assimilation of SST data in the FOAM ocean forecasting system Matt Martin, James While, Dan Lea, Rob King, Jennie Waters, Ana Aguiar, Chris Harris, Catherine Guiavarch Workshop on SST and Sea Ice analysis

More information

Update from the European Centre for Medium-Range Weather Forecasts

Update from the European Centre for Medium-Range Weather Forecasts JSC-34 Brasilia, May 2013 Update from the European Centre for Medium-Range Weather Forecasts Adrian Simmons Consultant, ECMWF First main message ECMWF has a continuing focus on a more seamless approach

More information

Developing Operational MME Forecasts for Subseasonal Timescales

Developing Operational MME Forecasts for Subseasonal Timescales Developing Operational MME Forecasts for Subseasonal Timescales Dan C. Collins NOAA Climate Prediction Center (CPC) Acknowledgements: Stephen Baxter and Augustin Vintzileos (CPC and UMD) 1 Outline I. Operational

More information

SPECIAL PROJECT PROGRESS REPORT

SPECIAL PROJECT PROGRESS REPORT SPECIAL PROJECT PROGRESS REPORT Progress Reports should be 2 to 10 pages in length, depending on importance of the project. All the following mandatory information needs to be provided. Reporting year

More information

ECMWF global reanalyses: Resources for the wind energy community

ECMWF global reanalyses: Resources for the wind energy community ECMWF global reanalyses: Resources for the wind energy community (and a few myth-busters) Paul Poli European Centre for Medium-range Weather Forecasts (ECMWF) Shinfield Park, RG2 9AX, Reading, UK paul.poli

More information

ECMWF Forecasting System Research and Development

ECMWF Forecasting System Research and Development ECMWF Forecasting System Research and Development Jean-Noël Thépaut ECMWF October 2012 Slide 1 and many colleagues from the Research Department Slide 1, ECMWF The ECMWF Integrated Forecasting System (IFS)

More information

Role of the SST coupling frequency and «intra-daily» SST variability on ENSO and monsoon-enso relationship in a global coupled model

Role of the SST coupling frequency and «intra-daily» SST variability on ENSO and monsoon-enso relationship in a global coupled model Role of the SST coupling frequency and «intra-daily» SST variability on ENSO and monsoon-enso relationship in a global coupled model Pascal Terray, Sébastien Masson, Kamala Kakitha, Gurvan Madec LOCEAN/IPSL,

More information

Developments to the assimilation of sea surface temperature

Developments to the assimilation of sea surface temperature Developments to the assimilation of sea surface temperature James While, Daniel Lea, Matthew Martin ERA-CLIM2 General Assembly, January 2017 Contents Introduction Improvements to SST bias correction Development

More information

Predictability and prediction of the North Atlantic Oscillation

Predictability and prediction of the North Atlantic Oscillation Predictability and prediction of the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements: Gilbert Brunet, Jacques Derome ECMWF Seminar 2010 September

More information

The ERA-CLIM2 EU-FP7 project

The ERA-CLIM2 EU-FP7 project 8 The ERA-CLIM2 EU-FP7 project Grant Agreement No. 607029 Roberto Buizza (Co-ordinator; ECMWF), Stefan Brönnimann (WP3 Leader; University of Bern), Leopold Haimberger (WP4 Leader; University of Vienna),

More information

The CMCC contribution to! ERA-CLIM2!

The CMCC contribution to! ERA-CLIM2! The CMCC contribution to! ERA-CLIM2!! Experiments with coupled covariances and! other activities! Andrea Storto! Ocean Modeling and Data Assimilation Division,! Euro-Mediterranean Center on Climate Change

More information

STRONGLY COUPLED ENKF DATA ASSIMILATION

STRONGLY COUPLED ENKF DATA ASSIMILATION STRONGLY COUPLED ENKF DATA ASSIMILATION WITH THE CFSV2 Travis Sluka Acknowledgements: Eugenia Kalnay, Steve Penny, Takemasa Miyoshi CDAW Toulouse Oct 19, 2016 Outline 1. Overview of strongly coupled DA

More information

Weather and climate: Operational Forecasting Systems and Climate Reanalyses

Weather and climate: Operational Forecasting Systems and Climate Reanalyses Weather and climate: Operational Forecasting Systems and Climate Reanalyses M.A. Balmaseda Tim Stockdale, Frederic Vitart, Hao Zuo, Kristian Mogensen, Dominique Salisbury, Steffen Tietsche, Saleh Abdalla,

More information

Journal of Advances in Modeling Earth Systems

Journal of Advances in Modeling Earth Systems RESEARCH ARTICLE Key Points: CERA-20C reconstructs the past climate of the atmosphere, ocean, land, waves, and sea ice CERA-20C provides a 10 member ensemble of reanalyses to account for errors CERA-20C

More information

Status of the ERA5 reanalysis production

Status of the ERA5 reanalysis production Status of the ERA5 reanalysis production R. Dragani, H. Hersbach, A. Simmons, D. Shepers, M. Diamantakis, D. Dee and many other colleagues rossana.dragani@ecmwf.int Content Overview of changes and improvements

More information

The western Colombia low-level jet and its simulation by CMIP5 models

The western Colombia low-level jet and its simulation by CMIP5 models The western Colombia low-level jet and its simulation by CMIP5 models Juan P. Sierra, Jhoana Agudelo, Paola A. Arias and Sara C. Vieira Grupo de Ingeniería y Gestión Amiental (GIGA), Escuela Ambiental,

More information

Climate prediction activities at Météo-France & CERFACS

Climate prediction activities at Météo-France & CERFACS Climate prediction activities at Météo-France & CERFACS Hervé Douville Météo-France/CNRM herve.douville@meteo.fr Acknowledgements: L. Batté, C. Cassou, M. Chevallier, M. Déqué, A. Germe, E. Martin, and

More information

Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands

Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands Adrian Simmons & Re-analysis by David Burridge (pay-back time!) Credits: Dick Dee, Hans Hersbach,Adrian and a cast of thousands A brief history of atmospheric reanalysis productions at ECMWF 1990 2000

More information

Supplementary Figure 1 Trends of annual mean maximum ocean mixed layer depth. Trends from uninitialized simulations (a) and assimilation simulation

Supplementary Figure 1 Trends of annual mean maximum ocean mixed layer depth. Trends from uninitialized simulations (a) and assimilation simulation Supplementary Figure 1 Trends of annual mean maximum ocean mixed layer depth. Trends from uninitialized simulations (a) and assimilation simulation (b) from 1970-1995 (units: m yr -1 ). The dots show grids

More information

Interannual Climate Prediction at IC3

Interannual Climate Prediction at IC3 Interannual Climate Prediction at IC3 F. J. Doblas-Reyes ICREA & IC3, Barcelona, Spain M. Asif, H. Du, J. García-Serrano, V. Guémas, F. Lienert IC3, Barcelona, Spain Outline Decadal experiment benchmarking

More information

ERA-CLIM2 WP2. ERA-CLIM2 review, April 2016.

ERA-CLIM2 WP2. ERA-CLIM2 review, April 2016. ERA-CLIM2 WP2 M. Martin, A. Albert, X. Feng, M. Gehlen, K. Haines, R. King, P. Laloyaux, D. Lea, B. Lemieux-Dudon, I. Mirouze, D. Mulholland, P. Peylin, A. Storto, C.-E. Testut, A. Vidard, N. Vuichard,

More information

GPC Exeter forecast for winter Crown copyright Met Office

GPC Exeter forecast for winter Crown copyright Met Office GPC Exeter forecast for winter 2015-2016 Global Seasonal Forecast System version 5 (GloSea5) ensemble prediction system the source for Met Office monthly and seasonal forecasts uses a coupled model (atmosphere

More information

Data assimilation for ocean climate studies

Data assimilation for ocean climate studies Data assimilation for ocean climate studies James Carton, Gennady Chepurin, Steven Penny, and David Behringer (thanks Eugenia) University of Maryland, NOAA/NCEP, College Park, MD USA Chl concentration

More information

On the Causes of and Long Term Changes in Eurasian Heat Waves

On the Causes of and Long Term Changes in Eurasian Heat Waves On the Causes of and Long Term Changes in Eurasian Heat Waves Siegfried Schubert Hailan Wang*, Randy Koster, Max Suarez NASA/GSFC Global Modeling and Assimilation Office Second Annual Workshop on Understanding

More information

Preliminary study of multi-year ocean salinity trends with merged SMOS and Aquarius data.

Preliminary study of multi-year ocean salinity trends with merged SMOS and Aquarius data. Preliminary study of multi-year ocean salinity trends with merged SMOS and Aquarius data. Gary Lagerloef and Hsun-Ying Kao Earth & Space Research Seattle, USA Aquarius Status Completed 3-year Prime Mission

More information

The ECMWF-MyOcean2 eddy-permitting ocean and sea-ice reanalysis ORAP5. Part 1: Implementation

The ECMWF-MyOcean2 eddy-permitting ocean and sea-ice reanalysis ORAP5. Part 1: Implementation 736 The ECMWF-MyOcean2 eddy-permitting ocean and sea-ice reanalysis ORAP5. Part 1: Implementation Hao Zuo, Magdalena A. Balmaseda, Kristian Mogensen Research Department February 2015 Series: ECMWF Technical

More information

Early Successes El Nino Southern Oscillation and seasonal forecasting. David Anderson, With thanks to Magdalena Balmaseda, Tim Stockdale.

Early Successes El Nino Southern Oscillation and seasonal forecasting. David Anderson, With thanks to Magdalena Balmaseda, Tim Stockdale. Early Successes El Nino Southern Oscillation and seasonal forecasting David Anderson, With thanks to Magdalena Balmaseda, Tim Stockdale. Summary Pre TOGA, the 1982/3 El Nino was not well predicted. In

More information

Sub-seasonal predictions at ECMWF and links with international programmes

Sub-seasonal predictions at ECMWF and links with international programmes Sub-seasonal predictions at ECMWF and links with international programmes Frederic Vitart and Franco Molteni ECMWF, Reading, U.K. Using ECMWF forecasts, 4-6 June 2014 1 Outline Recent progress and plans

More information

Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system

Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system 2nd Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system R. Salgado(1),

More information

The Future of Earth System Reanalyses: An ocean perspective

The Future of Earth System Reanalyses: An ocean perspective The Future of Earth System Reanalyses: An ocean perspective Magdalena Alonso Balmaseda on behalf of many colleagues CLIVAR-GSOP, GODAE-OceanView, C3S, CMEMS, EOS-COST, Era-Clim2,ECMWF Oceans 2 - Ocean

More information

On the relevance of diurnal cycle model improvements to weather & climate extremes

On the relevance of diurnal cycle model improvements to weather & climate extremes On the relevance of diurnal cycle model improvements to weather & climate extremes Gianpaolo Balsamo ECMWF, Earth System Modelling Section, Coupled Processes Team gianpaolo.balsamo@ecmwf.int Aknowledgements:

More information

The Oceanic Component of CFSR

The Oceanic Component of CFSR 1 The Oceanic Component of CFSR Yan Xue 1, David Behringer 2, Boyin Huang 1,Caihong Wen 1,Arun Kumar 1 1 Climate Prediction Center, NCEP/NOAA, 2 Environmental Modeling Center, NCEP/NOAA, The 34 th Annual

More information

ENSO prediction using Multi ocean Analysis Ensembles (MAE) with NCEP CFSv2: Deterministic skill and reliability

ENSO prediction using Multi ocean Analysis Ensembles (MAE) with NCEP CFSv2: Deterministic skill and reliability The World Weather Open Science Conference (WWOSC 2014) 16 21 August 2014, Montreal, Canada ENSO prediction using Multi ocean Analysis Ensembles (MAE) with NCEP CFSv2: Deterministic skill and reliability

More information

Sub-seasonal predictions at ECMWF and links with international programmes

Sub-seasonal predictions at ECMWF and links with international programmes Sub-seasonal predictions at ECMWF and links with international programmes Frederic Vitart and Franco Molteni ECMWF, Reading, U.K. 1 Outline 30 years ago: the start of ensemble, extended-range predictions

More information

Prof. Stephen G. Penny University of Maryland NOAA/NCEP, RIKEN AICS, ECMWF US CLIVAR Summit, 9 August 2017

Prof. Stephen G. Penny University of Maryland NOAA/NCEP, RIKEN AICS, ECMWF US CLIVAR Summit, 9 August 2017 COUPLED DATA ASSIMILATION: What we need from observations and modellers to make coupled data assimilation the new standard for prediction and reanalysis. Prof. Stephen G. Penny University of Maryland NOAA/NCEP,

More information

Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability

Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability Gerald A. Meehl 1, Julie M. Arblaster 1,2, Cecilia M. Bitz 3, Christine T.Y. Chung 4, and Haiyan

More information

Use of satellite data in reanalysis

Use of satellite data in reanalysis Use of satellite data in reanalysis Dick Dee Acknowledgements: Paul Poli, Adrian Simmons, Hans Hersbach, Carole Peubey, David Tan, Rossana Dragani, the rest of the reanalysis team and many others at ECMWF.

More information

Recent anomalously cold Central Eurasian winters forced by Arctic sea ice retreat in an atmospheric model

Recent anomalously cold Central Eurasian winters forced by Arctic sea ice retreat in an atmospheric model Recent anomalously cold Central Eurasian winters forced by Arctic sea ice retreat in an atmospheric model Vladimir A. Semenov A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia and Helmholtz

More information

4. WGSIP Projects: Teleconnection

4. WGSIP Projects: Teleconnection 4. WGSIP Projects: Teleconnection The aim of this initiative is to evaluate the ability of the current state-of -the-art dynamical forecasting systems in representing the tropical-extratropical teleconnections.

More information

GFDL, NCEP, & SODA Upper Ocean Assimilation Systems

GFDL, NCEP, & SODA Upper Ocean Assimilation Systems GFDL, NCEP, & SODA Upper Ocean Assimilation Systems Jim Carton (UMD) With help from Gennady Chepurin, Ben Giese (TAMU), David Behringer (NCEP), Matt Harrison & Tony Rosati (GFDL) Description Goals Products

More information

Experiences of using ECV datasets in ECMWF reanalyses including CCI applications. David Tan and colleagues ECMWF, Reading, UK

Experiences of using ECV datasets in ECMWF reanalyses including CCI applications. David Tan and colleagues ECMWF, Reading, UK Experiences of using ECV datasets in ECMWF reanalyses including CCI applications David Tan and colleagues ECMWF, Reading, UK Slide 1 Main points Experience shows benefit of integrated & iterative approach

More information

Evolution of the Mercator Océan system, main components for reanalysis and forecast

Evolution of the Mercator Océan system, main components for reanalysis and forecast Evolution of the Mercator Océan system, main components for reanalysis and forecast Y. Drillet, J.M. Lellouche, O. Le Galloudec, M. Drévillon, G. Garric, R. Bourdallé- Badie, C. Bricaud, J. Chanut, G.

More information

Inverse Barometer correction comparison for TOPEX/Poseidon mission between Corrections based on JRA-55 and ERA-Interim atmospheric reanalyses

Inverse Barometer correction comparison for TOPEX/Poseidon mission between Corrections based on JRA-55 and ERA-Interim atmospheric reanalyses Inverse Barometer correction comparison for TOPEX/Poseidon mission between Corrections based on JRA-55 and ERA-Interim atmospheric reanalyses The JRA-55 correction is referred to as JRA55 in the following

More information

Time mean temperature increments from ocean data assimilation systems

Time mean temperature increments from ocean data assimilation systems Time mean temperature increments from ocean data assimilation systems Mike Bell, Matt Martin, Drew Peterson (Met Office), Magdalena Balmaseda (ECMWF), Maria Valdivieso (University of Reading) April 2016

More information

ALASKA REGION CLIMATE OUTLOOK BRIEFING. June 22, 2018 Rick Thoman National Weather Service Alaska Region

ALASKA REGION CLIMATE OUTLOOK BRIEFING. June 22, 2018 Rick Thoman National Weather Service Alaska Region ALASKA REGION CLIMATE OUTLOOK BRIEFING June 22, 2018 Rick Thoman National Weather Service Alaska Region Today s Outline Feature of the month: Ocean Warmth Headed into Summer Climate Forecast Basics Climate

More information

Overview of data assimilation in oceanography or how best to initialize the ocean?

Overview of data assimilation in oceanography or how best to initialize the ocean? Overview of data assimilation in oceanography or how best to initialize the ocean? T. Janjic Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Germany Outline Ocean observing system Ocean

More information

Model error and seasonal forecasting

Model error and seasonal forecasting Model error and seasonal forecasting Antje Weisheimer European Centre for Medium-Range Weather Forecasts ECMWF, Reading, UK with thanks to Paco Doblas-Reyes and Tim Palmer Model error and model uncertainty

More information

ALASKA REGION CLIMATE OUTLOOK BRIEFING. December 22, 2017 Rick Thoman National Weather Service Alaska Region

ALASKA REGION CLIMATE OUTLOOK BRIEFING. December 22, 2017 Rick Thoman National Weather Service Alaska Region ALASKA REGION CLIMATE OUTLOOK BRIEFING December 22, 2017 Rick Thoman National Weather Service Alaska Region Today s Outline Feature of the month: Autumn sea ice near Alaska Climate Forecast Basics Climate

More information

Ocean Data Assimilation for Seasonal Forecasting

Ocean Data Assimilation for Seasonal Forecasting Ocean Data Assimilation for Seasonal Forecasting Magdalena A. Balmaseda Arthur Vidard, David Anderson, Alberto Troccoli, Jerome Vialard, ECMWF, Reading, UK Outline Why Ocean Data Assimilation? The Operational

More information

ALASKA REGION CLIMATE OUTLOOK BRIEFING. November 17, 2017 Rick Thoman National Weather Service Alaska Region

ALASKA REGION CLIMATE OUTLOOK BRIEFING. November 17, 2017 Rick Thoman National Weather Service Alaska Region ALASKA REGION CLIMATE OUTLOOK BRIEFING November 17, 2017 Rick Thoman National Weather Service Alaska Region Today Feature of the month: More climate models! Climate Forecast Basics Climate System Review

More information

The new ECMWF seasonal forecast system (system 4)

The new ECMWF seasonal forecast system (system 4) The new ECMWF seasonal forecast system (system 4) Franco Molteni, Tim Stockdale, Magdalena Balmaseda, Roberto Buizza, Laura Ferranti, Linus Magnusson, Kristian Mogensen, Tim Palmer, Frederic Vitart Met.

More information

SPECIAL PROJECT PROGRESS REPORT

SPECIAL PROJECT PROGRESS REPORT SPECIAL PROJECT PROGRESS REPORT Reporting year 2015/16 Project Title: Homogeneous upper air data and coupled energy budgets Computer Project Account: Principal Investigator(s): Affiliation: Name of ECMWF

More information

How DBCP Data Contributes to Ocean Forecasting at the UK Met Office

How DBCP Data Contributes to Ocean Forecasting at the UK Met Office How DBCP Data Contributes to Ocean Forecasting at the UK Met Office Ed Blockley DBCP XXVI Science & Technical Workshop, 27 th September 2010 Contents This presentation covers the following areas Introduction

More information

The JRA-55 Reanalysis: quality control and reprocessing of observational data

The JRA-55 Reanalysis: quality control and reprocessing of observational data The JRA-55 Reanalysis: quality control and reprocessing of observational data Kazutoshi Onogi On behalf of JRA group Japan Meteorological Agency 29 October 2014 EASCOF 1 1. Introduction 1. Introduction

More information

Understanding Predictability and Model Errors Through Light, Portable Pseudo-Assimilation and Experimental Prediction Techniques

Understanding Predictability and Model Errors Through Light, Portable Pseudo-Assimilation and Experimental Prediction Techniques DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Understanding Predictability and Model Errors Through Light, Portable Pseudo-Assimilation and Experimental Prediction Techniques

More information

The 2009 Hurricane Season Overview

The 2009 Hurricane Season Overview The 2009 Hurricane Season Overview Jae-Kyung Schemm Gerry Bell Climate Prediction Center NOAA/ NWS/ NCEP 1 Overview outline 1. Current status for the Atlantic, Eastern Pacific and Western Pacific basins

More information

Sea level variability in the North Indian Ocean

Sea level variability in the North Indian Ocean Sea level variability in the North Indian Ocean M. Ravichandran ESSO-National Centre for Antarctic and Ocean Research (NCAOR) (Ministry of Earth Sciences, Govt. of India) Goa mravi@ncaor.gov.in U.Srinivasu

More information

The coupled ocean atmosphere model at ECMWF: overview and technical challenges. Kristian S. Mogensen Marine Prediction Section ECMWF

The coupled ocean atmosphere model at ECMWF: overview and technical challenges. Kristian S. Mogensen Marine Prediction Section ECMWF The coupled ocean atmosphere model at ECMWF: overview and technical challenges Kristian S. Mogensen Marine Prediction Section ECMWF Slide 1 Overview of talk: Baseline: The focus of this talk is going to

More information

Evaluation of Tropical Pacific Observing Systems Using NCEP and GFDL Ocean Data Assimilation Systems

Evaluation of Tropical Pacific Observing Systems Using NCEP and GFDL Ocean Data Assimilation Systems Evaluation of Tropical Pacific Observing Systems Using NCEP and GFDL Ocean Data Assimilation Systems Y. Xue 1, C. Wen 1, X. Yang 2, D. Behringer 1, A. Kumar 1, G. Vecchi 2, A. Rosati 2, R. Gudgel 2 1 NCEP/NOAA,

More information

Validation of an Arctic/North Atlantic model system. Kristine S. Madsen, Till A.S. Rasmussen, Mads H. Ribergaard Danish Meteorological Institute

Validation of an Arctic/North Atlantic model system. Kristine S. Madsen, Till A.S. Rasmussen, Mads H. Ribergaard Danish Meteorological Institute Validation of an Arctic/North Atlantic model system Kristine S. Madsen, Till A.S. Rasmussen, Mads H. Ribergaard Danish Meteorological Institute Ocean modelling at DMI Operational modelling and hindcasts

More information

Operational and research activities at ECMWF now and in the future

Operational and research activities at ECMWF now and in the future Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer Erland Källén Director of Research ECMWF An independent intergovernmental organisation established in 1975

More information

SEA ICE OUTLOOK 2016 Report

SEA ICE OUTLOOK 2016 Report SEA ICE OUTLOOK 2016 Report Template with Core Requirements for Pan-Arctic Contributions and Guidelines for Submitting Optional Alaskan Regional Outlook, Figures, and Gridded Data Submission Guidelines:

More information

How well do we know the climatological characteristics of the North Atlantic jet stream? Isla Simpson, CAS, CDG, NCAR

How well do we know the climatological characteristics of the North Atlantic jet stream? Isla Simpson, CAS, CDG, NCAR How well do we know the climatological characteristics of the North Atlantic jet stream? Isla Simpson, CAS, CDG, NCAR A common bias among GCMs is that the Atlantic jet is too zonal One particular contour

More information

Pacific HYCOM. E. Joseph Metzger, Harley E. Hurlburt, Alan J. Wallcraft, Luis Zamudio and Patrick J. Hogan

Pacific HYCOM. E. Joseph Metzger, Harley E. Hurlburt, Alan J. Wallcraft, Luis Zamudio and Patrick J. Hogan Pacific HYCOM E. Joseph Metzger, Harley E. Hurlburt, Alan J. Wallcraft, Luis Zamudio and Patrick J. Hogan Naval Research Laboratory, Stennis Space Center, MS Center for Ocean-Atmospheric Prediction Studies,

More information

PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response

PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK June 2014 - RMS Event Response 2014 SEASON OUTLOOK The 2013 North Atlantic hurricane season saw the fewest hurricanes in the Atlantic Basin

More information

No pause in the increase of hot temperature extremes

No pause in the increase of hot temperature extremes SUPPLEMENTARY INFORMATION DOI: 10.1038/NCLIMATE2145 No pause in the increase of hot temperature extremes Sonia I. Seneviratne 1, Markus G. Donat 2,3, Brigitte Mueller 4,1, and Lisa V. Alexander 2,3 1 Institute

More information

Current status of lake modelling and initialisation at ECMWF

Current status of lake modelling and initialisation at ECMWF Current status of lake modelling and initialisation at ECMWF G Balsamo, A Manrique Suñen, E Dutra, D. Mironov, P. Miranda, V Stepanenko, P Viterbo, A Nordbo, R Salgado, I Mammarella, A Beljaars, H Hersbach

More information

IMPORTANCE OF SATELLITE DATA (FOR REANALYSIS AND BEYOND) Jörg Schulz EUMETSAT

IMPORTANCE OF SATELLITE DATA (FOR REANALYSIS AND BEYOND) Jörg Schulz EUMETSAT IMPORTANCE OF SATELLITE DATA (FOR REANALYSIS AND BEYOND) Jörg Schulz EUMETSAT Why satellite data for climate monitoring? Global coverage Global consistency, sometimes also temporal consistency High spatial

More information