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EUMETSAT04 04/2004 © Crown copyright Use of EARS in Global and Regional NWP Models at the Met Office Brett Candy, Steve English, Roger Saunders and Amy Doherty Satellite Applications, Met Office
EUMETSAT04 05/2004 © Crown copyright Introduction Operational forecast model data cutoff Impact of lost ATOVS data Results of experiments Use of EARS data at the Met Office Plans for the future
EUMETSAT04 05/2004 © Crown copyright Met Office NWP Models Global –Global ATOVS from NESDIS –110 min cutoff (main run) UK Mesoscale –Local ATOVS reception from West Freugh, Scotland –120 min cutoff European Mesoscale –Global ATOVS from NESDIS –180 min cutoff (currently)
EUMETSAT04 05/2004 © Crown copyright Percentage of data used for each observation type in a global model main run %
EUMETSAT04 05/2004 © Crown copyright Arrival Times of Data North Atlantic Region Six-hour window 25/02/2004 09:00- 15:00 window Main Run Update Run First Overpass
EUMETSAT04 05/2004 © Crown copyright No Cutoff Experiment All available ATOVS data were used in the Global model and results compared to a control run in which no data arriving after the cutoff were assimilated. Results showed the positive impact of the missing data.
EUMETSAT04 05/2004 © Crown copyright RMS Error reduces when all ATOVS data are used. Large peak seen in the T+24 forecasts is less pronounced.
EUMETSAT04 05/2004 © Crown copyright T+48 pressure forecast error difference plots
EUMETSAT04 05/2004 © Crown copyright Case Study 26th May 2003 North Pacific Cyclone No cutoff experiment predicts a deeper cyclone, closer match to verifying analysis (979 hPa) 982 hPa 978 hPa
EUMETSAT04 05/2004 © Crown copyright EARS Station Coverage 24 hours of data
EUMETSAT04 05/2004 © Crown copyright Using EARS in the Global Model Trial ran for 3 weeks from the 24 th February 2002 NOAA15 & 16 EARS data from seven stations
EUMETSAT04 05/2004 © Crown copyright Example of the Extra Data Global data assimilated in main run EARS and Global data assimilated in main run NOAA16 & NOAA15 NOAA16
EUMETSAT04 05/2004 © Crown copyright Difference in Analysis Increments from the Main Forecast Runs
EUMETSAT04 05/2004 © Crown copyright Forecast Impact Overall Neutral Benefit in the NH Extra-Tropics Positive Benefit when significant extra data assimilated
EUMETSAT04 05/2004 © Crown copyright Use in Operational NWP Ears included in latest package of changes to operational system Initially using 3 stations: –Tromsø (Norway), Maspalomas (Canaries), Edmonton (Canada). Package also includes: –First use of AIRS radiances –Other ATOVS processing changes »Introduce AMSU radiances from AQUA »Move to RTTOV-7 forward model »More data over land Pre-op trial indicates rise of 3 % on a global index (equivalent to yearly improvement from all NWP changes)
EUMETSAT04 05/2004 © Crown copyright Conclusions The use of late satellite data can occasionally have large forecast impacts. Using the EARS data to fill in voids from the global data results in positive forecast benefit. Near future: use of EARS data in Euro model. Additional application: AMSU precipitation imagery for duty forecasters.
Global vs mesoscale ATOVS assimilation at the Met Office Global Large obs error (4 K) NESDIS 1B radiances NOAA-15 & 16 HIRS and AMSU thinned to 154 km.
Data Exchange Meeting, Dorval May 04 Met Office Report Relocation Model developments Use of ATOVS AIRS data MODIS atmospheric motion winds SSM/I.
1 ATOVS and SSM/I assimilation at the Met Office Stephen English, Dave Jones, Andrew Smith, Fiona Hilton and Keith Whyte.
© Crown copyright Met Office Report to 22 nd NAEDEX Meeting Roger Saunders + many others, Met Office, Exeter.
1 Met Office, UK 2 Japan Meteorological Agency 3 Bureau of Meteorology, Australia Assimilation of data from AIRS for improved numerical weather prediction.
Page 1 Developments in regional DA Oct 2007 © Crown copyright 2007 Mark Naylor, Bruce Macpherson, Richard Renshaw, Gareth Dow Data Assimilation and Ensembles,
25 th EWGLAM/10 th SRNWP Lisbon, Portugal 6-9 October 2003 Use of satellite data at Météo-France Élisabeth Gérard Météo-France/CNRM/GMAP/OBS, Toulouse,
© Crown copyright Met Office Data Assimilation Developments at the Met Office Recent operational changes, and plans Andrew Lorenc, DAOS, Montreal, August.
© Crown copyright 2007 Optimal distribution of polar-orbiting sounding missions John EyreMet Office, UK CGMS-40; Lugano, Switzerland;5-9 Nov 2012.
Page 1© Crown copyright 2004 Unified Model Developments 2004 Mike Bush NWP Met Office.
Real-time Generation of Winds and Sea Ice Motion from MODIS Jeff Key 1, Dave Santek 2, Chris Velden 2 1 Office of Research and Applications, NOAA/NESDIS,
Page 1© Crown copyright 2004 SRNWP Lead Centre Report on Data Assimilation 2005 for EWGLAM/SRNWP Annual Meeting October 2005, Ljubljana, Slovenia.
© Crown copyright Met Office Assimilating infra-red sounder data over land John Eyre for Ed Pavelin Met Office, UK Acknowledgements: Brett Candy DAOS-WG,
© Crown copyright Met Office Report to 21st NAEDEX Meeting Roger Saunders, Met Office, Exeter.
Impact study with observations assimilated over North America and the North Pacific Ocean at MSC Stéphane Laroche and Réal Sarrazin Environment Canada.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
© Crown copyright Met Office Plans for Met Office contribution to SMOS+STORM Evolution James Cotton & Pete Francis, Satellite Applications, Met Office,
1 MODIS winds assimilation experiments and impact studies to date at the Met Office Howard Berger, Mary Forsythe, Met Office, Bracknell/Exeter, UK UW-CIMSS.
© Crown copyright Met Office Review topic – Impact of High-Resolution Data Assimilation Bruce Macpherson, Christoph Schraff, Claude Fischer EWGLAM, 2009.
Evaluation of radiance data assimilation impact on Rapid Refresh forecast skill for retrospective and real-time experiments Haidao Lin Steve Weygandt Stan.
Slide 1 EUMETSAT Fellow Day, 9 March 2015 Observation Errors for AMSU-A and a first look at the FY-3C MWHS-2 instrument Heather Lawrence, second-year EUMETSAT.
Page 1 NAE 4DVAR Oct 2006 © Crown copyright 2006 Mark Naylor Data Assimilation, NWP NAE 4D-Var – Testing and Issues EWGLAM/SRNWP meeting Zurich 9 th -12.
June, 2003EUMETSAT GRAS SAF 2nd User Workshop. 2 The EPS/METOP Satellite.
Understanding AMV errors using a simulation framework Peter Lean 1* Stefano Migliorini 1 and Graeme Kelly 2 * EUMETSAT Research Fellow, 1 University of.
Using ensemble data assimilation to investigate the initial condition sensitivity of Western Pacific extratropical transitions Ryan D. Torn University.
Update on winds derived from MODIS Lars Peter Riishojgaard, John Wu, Meta Sienkiewicz Global Modeling and Assimilation Office.
NOAA Near Real-Time AIRS Processing and Distribution System Walter Wolf Mitch Goldberg Lihang Zhou NESDIS/ORA/CRAD.
MODIS Winds Assimilation Impact Study with the CMC Operational Forecast System Réal Sarrazin Data Assimilation and Quality Control Canadian Meteorological.
© Crown copyright Met Office Impact experiments using the Met Office global and regional model Presented by Richard Dumelow to the WMO workshop, Geneva,
Characterising AMV height Characterising AMV height assignment errors in a simulation study Peter Lean 1* Stefano Migliorini 1 and Graeme Kelly 2 * EUMETSAT.
Data assimilation and observing systems strategies Pierre Gauthier Data Assimilation and Satellite Meteorology Division Meteorological Service of Canada.
Polar Winds from Satellite Imagers and Sounders MODIS Winds Group: Jeff Key 1, David Santek 2, Christopher Velden 2, Lars Peter Riishojgaard 3, Paul Menzel.
Trials of a 1km Version of the Unified Model for Short Range Forecasting of Convective Events Humphrey Lean, Susan Ballard, Peter Clark, Mark Dixon, Zhihong.
Page 1© Crown copyright 2006 Ice hydrometeor microphysical parameterisations in NWP Amy Doherty T. R. Sreerekha, Una O’Keeffe, Stephen English October.
Station lists and bias corrections Jemma Davie, Colin Parrett, Richard Renshaw, Peter Jermey © Crown Copyright 2012 Source: Met Office© Crown copyright.
© Crown copyright Met Office Implementation of a new dynamical core in the Met Office Unified Model Andy Brown, Director of Science.
Slide 1 3 rd THORPEX International Science Symposium 09/2009 Slide 1 Impact of increased satellite data density in sensitive areas Carla Cardinali, Peter.
Adaptive Observations at NWS Lacey Holland, SAIC at EMC/NCEP/NWS Zoltan Toth, EMC/NCEP/NWS Acknowledgements:
Northwest European High Summer Climate Variability, the West African Monsoon and the Summer North Atlantic Oscillation Jim Hurrell, NCAR, & Chris Folland,
A CASE STUDY OF THUNDERSTORM FORECASTING IN WEST AFRICA BY * Okoloye C. U., ** Alilonu B. N. *Nigerian Meteorological Agency (NIMET) Mallam Aminu Kano.
Translating verification experience from meteorology to space weather Suzy Bingham ESWW splinter session, Thurs. 20 th Nov.
1 3D-Var assimilation of CHAMP measurements at the Met Office Sean Healy, Adrian Jupp and Christian Marquardt.
ECMWF – 1© European Centre for Medium-Range Weather Forecasts Developments in the use of AMSU-A, ATMS and HIRS data at ECMWF Heather Lawrence, first-year.
© Crown copyright Met Office Assimilating cloud affected infrared radiances at the Met Office Ed Pavelin and Roger Saunders, Met Office, Exeter.
On Improving GFS Forecast Skills in the Southern Hemisphere: Ideas and Preliminary Results Fanglin Yang Andrew Collard, Russ Treadon, John Derber NCEP-EMC.
Improved Simulations of Clouds and Precipitation Using WRF-GSI Zhengqing Ye and Zhijin Li NASA-JPL/UCLA June, 2011.
Assimilation experiments with CHAMP GPS radio occultation measurements By S. B. HEALY and J.-N. THÉPAUT European Centre for Medium-Range Weather Forecasts,
1 Precipitation verification Precipitation verification is still in a testing stage due to the lack of station observation data in some regions
1 00/XXXX © Crown copyright Use of radar data in modelling at the Met Office (UK) Bruce Macpherson Mesoscale Assimilation, NWP Met Office EWGLAM / COST-717.
Operational assimilation of dust optical depth Bruce Ingleby, Yaswant Pradhan and Malcolm Brooks © Crown copyright 08/2013 Met Office and the Met Office.
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