Reanalysis applications of GPS radio occultation measurements
|
|
- Gabriel Cooper
- 5 years ago
- Views:
Transcription
1 Reanalysis applications of GPS radio occultation measurements Dick Dee, Sakari Uppala, Shinya Kobayashi, Sean Healy ECMWF GRAS SAF Workshop on Applications of GPS radio occultation measurements ECMWF, June
2 Outline ERA-Interim and GPSRO data Bias issues in the reanalysis context Variational bias correction of radiance data (VarBC) Effect of COSMIC data on VarBC Impact of CHAMP in ERA-Interim
3 ERA-Interim: Preparation for a new European reanalysis ERA-Interim: Atmospheric reanalysis from 1989 onward Currently processing 2004; real-time by the end of 2008 Will continue as a Climate Data Assimilation System Main system characteristics: T255 (~80km) horizontal resolution 60 vertical layers; top level at 0.1 hpa Improved model physics (ECMWF model cycle 31r2) 4D-Var analysis using a 12h time window Completely revised humidity analysis Wavelet-based background error covariances Variational bias correction of radiance data Many product improvements compared to ERA-40: Better fit to observations Much better hydrological cycle Improved stratospheric transport Improved forecast skill See ECMWF Newsletters 110, 115 for additional details Contact ECMWF Data Services for access to ERA-Interim data products
4 The ERA-40 observing system: TOMS/ SBUV Aircraft data METEOSAT reprocessed cloud motion winds Conventional surface and upper-air observations NCAR/NCEP, ECMWF, JMA, US Navy, Twerle, GATE, FGGE, TOGA, TAO, COADS, 1973 VTPR 1979 HIRS/ MSU/ SSU Cloud motion winds Buoy data Observations used in ERA-Interim: 1987 SSM/I 1991 ERS ERS AMSU ERA-Interim ERA-40 observations until August 2002 ECMWF operational data after August 2002 Reprocessed altimeter wave-height data from ERS Humidity information from SSM/I rain-affected radiance data Reprocessed METEOSAT AMV wind data Reprocessed ozone profiles from GOME Reprocessed GPSRO data from CHAMP
5 Use of GPSRO in ERA-Interim (currently August 2004) CHAMP: (?) ~ 150 profiles/day COSMIC: (?) ~ 1500 profiles/day GRAS: potentially from 2006 ~ 650 profiles/day GRACE: potentially from 2006 ~ 150 profiles/day Expectations from a reanalysis perspective: GPS data should be especially valuable because they resolve scales not well observed by other instruments, provide global uniform sampling, and do not require bias correction Can GPS data provide a baseline for bias corrections of other instruments?
6 CHAMP data in ERA-Interim: bending angle departures (normalized by observation errors) Binned at ~35 km ~25 km ~15 km -150 profiles per day
7 The bias problem in a reanalysis context In theory: In practice:
8 Outline ERA-Interim and GPSRO data Bias issues in the reanalysis context Variational bias correction of radiance data (VarBC) Effect of COSMIC data on VarBC Impact of CHAMP in ERA-Interim
9 Variational bias correction (VarBC) applied to radiance data The data assimilation system optimizes the bias corrections, using all available information from observations and model Global radiance bias expressed in terms of bias predictors: A constant offset Instrument scan position Functions of the observed atmospheric column (e.g. integrated lapse rate) Separately for each satellite/sensor/channel: b( β, x) = β 0 + βi pi i Estimate the bias parameters in the variational analysis (Derber and Wu 1998) J b : background constraint for x J β : background constraint for β J(x, β) = (x b x) T B 1 x (x b + x) + (β β) B (β β) T 1 [ y b (x, β) h(x) ] R [ y b (x, β) h(x) ] o b T 1 β b o J o : bias-corrected observation constraint
10 Example: NOAA-9 MSU channel 3, solar flare disruption 200 hpa temperature departures from radiosonde observations Variational bias correction smoothly handles the abrupt change in bias: initially QC rejects most data from this channel the variational analysis adjusts the bias estimates bias-corrected data are gradually allowed back in no shock to the system!
11 MSU Ch3 variational bias corrections in ERA-Interim NOAA-10 NOAA-11 NOAA-12 NOAA-14
12 Inter-satellite calibration based on VarBC Jan 1995 May 1995 NOAA K NOAA-12 ~0 K NOAA K
13 MSU Ch3 bias-corrected Tb departures Jan 1995 May 1995 NOAA K Global standard deviations Global averages NOAA-12 ~0 K NOAA K
14 Limitations of variational bias correction The analysis adjusts the bias parameters in order to optimize the consistency among the various information sources: J b : background constraint for x J β : background constraint for β J(x, β) = (x b x) T B 1 x (x b + x) + (β β) B (β β) T 1 [ y b (x, β) h(x) ] R [ y b (x, β) h(x) ] o b T 1 β b o J o : bias-corrected observation constraint One has to be careful about which (and how many) sources to correct It won t work unless there is sufficient information to anchor the system Since VarBC corrects the (mean) departures, systematic errors in the forecast model may interfere
15 Limitation of VarBC: Interaction with model bias 0.1hPa 40hPa SSU Ch3 weighting function The model is generally too cold (by as much as 20K in polar winter) This is wrongly interpreted as an SSU warm bias SSU is then corrected to agree with the model Projection of model cold bias onto SSU Ch3 bias model
16 MSU Ch4: Tropical mean bias corrections NOAA-10 1K NOAA K 0.5K NOAA-12 Pinatubo NOAA-14
17 Outline ERA-Interim and GPSRO data Bias issues in the reanalysis context Variational bias correction of radiance data (VarBC) Effect of COSMIC data on VarBC Impact of CHAMP in ERA-Interim
18 GPS as a baseline for other instruments How do GPS data affect the bias corrections of other instruments? Experiment in a simplified NWP system (Sean Healy): Period: June 15 th to August 31 st, 2007 T511/159 Cy32r3 CONTROL: Assimilates all conventional measurements + AMSU-A and MHS instruments from the METOP-A satellite COSMIC: As control, but with all COSMIC measurements assimilated VarBC switched on. How do the COSMIC measurements modify the evolution of the bias correction of AMSU-A radiances?
19 Fit to radiosonde and COSMIC measurements (SH) Radiosonde temperature CONTROL: red COSMIC: black Bending angle COSMIC-4 (normalised O-B departures)
20 Bias correction applied to AMSU-A radiances for August 2007 Green = Control Pink = COSMIC Bias correction applied to channels 8,9,10,11 generally smaller with COSMIC assimilated. Larger for channels 12,13.
21 Evolution of the bias correction for AMSU-A, channel 9 (Southern Hemisphere) CONTROL (NO COSMIC MEASUREMENTS) COSMIC MEASUREMENTS ASSIMILATED
22 Impact of CHAMP data in ERA-Interim A preliminary impact experiment was performed ahead of ERA-Interim:
23 Impact of CHAMP data in ERA-Interim ~150 bending angle profiles/day Actual impact in ERA-Interim is more difficult to assess, since The number of CHAMP profiles is small The period is relatively short There are many other changes in the observing system during the same period CHAMP data counts:
24 Impact of CHAMP: Constraining VarBC NOAA-15 AMSU-A Ch 12 Tb (Southern Hemisphere) ~150 bending angle profiles/day departure statistics std dev bias Peak sensitivity at ~10 hpa variational bias corrections noaa-16 noaa-17 aqua CHAMP data counts:
25 Impact of CHAMP: Better fit to radiosonde data Radiosonde temperature mean departures (S Polar Cap) ~150 bending angle profiles/day 50 hpa 200 hpa CHAMP data counts:
26 Summary Expectations from the reanalysis perspective: GPS data should be especially valuable because they resolve scales that are not well observed by other instruments, provide global uniform sampling, and do not require bias correction Can GPS data provide a baseline for bias corrections of other instruments? Early experience with ERA-Interim seems to confirm these points. Potential of GPSRO for climate monitoring: no inter-satellite biases? Reprocessing activities are extremely valuable and should be encouraged
ECMWF Data Assimilation. Contribution from many people
Data Assimilation Contribution from many people DA System&Observations DA School Buenos Aires 2008 1 Fundamental challenges of 4D-Var Assimilation System Incremental 4D-Var Linearized Physics Observation
More informationUse of reprocessed AMVs in the ECMWF Interim Re-analysis
Use of reprocessed AMVs in the ECMWF Interim Re-analysis Claire Delsol EUMETSAT Fellow Dick Dee and Sakari Uppala (Re-Analysis), IoannisMallas(Data), Niels Bormann, Jean-Noël Thépaut, and Peter Slide Bauer
More informationThe role of GPS-RO at ECMWF" ! COSMIC Data Users Workshop!! 30 September 2014! !!! ECMWF
The role of GPS-RO at ECMWF"!!!! COSMIC Data Users Workshop!! 30 September 2014! ECMWF WE ARE Intergovernmental organisation! 34 Member and Cooperating European states! 270 staff at ECMWF, in Reading,
More informationStatus 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 informationGNSS radio occultation measurements: Current status and future perspectives
GNSS radio occultation measurements: Current status and future perspectives Sean Healy, Florian Harnisch Peter Bauer, Steve English, Jean-Nöel Thépaut, Paul Poli, Carla Cardinali, Outline GNSS radio occultation
More informationRepresentation of the stratosphere in ECMWF operations and ERA-40
Representation of the stratosphere in ECMWF operations and ERA-40 History Time series of forecast verification statistics Wind increments, PV and parametrized gravity-wave drag Forecast accuracy: The Antarctic
More informationERA5 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 informationUse 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 informationExperiences 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 informationASSIMILATION OF GRAS GPS RADIO OCCULTATION MEASUREMENTS AT ECMWF
ASSIMILATION OF GRAS GPS RADIO OCCULTATION MEASUREMENTS AT ECMWF Sean Healy ECMWF, Shinfield Park, Reading, UK. Abstract GPS radio occultation bending angle profiles are assimilated from the GRAS instrument
More informationObserving System Experiments (OSE) to estimate the impact of observations in NWP
Observing System Experiments (OSE) to estimate the impact of observations in NWP Peter Bauer European Centre for Medium-Range Weather Forecasts Reading, UK peter.bauer@ecmwf.int Abstract This paper gives
More informationDEVELOPMENT OF THE ECMWF FORECASTING SYSTEM
DEVELOPMENT OF THE ECMWF FORECASTING SYSTEM Jean-Noël Thépaut European Centre for Medium Range Weather Forecasts ECMWF Acknowledgements: Lars Isaksen, Mike Fisher, Yannick Trémolet, Peter Bauer, Adrian
More informationUPDATES IN THE ASSIMILATION OF GEOSTATIONARY RADIANCES AT ECMWF
UPDATES IN THE ASSIMILATION OF GEOSTATIONARY RADIANCES AT ECMWF Carole Peubey, Tony McNally, Jean-Noël Thépaut, Sakari Uppala and Dick Dee ECMWF, UK Abstract Currently, ECMWF assimilates clear sky radiances
More informationWeak constraint 4D-Var at ECMWF
Weak constraint 4D-Var at ECMWF How to deal with model error in data assimilation Patrick Laloyaux - Earth System Assimilation Section Acknowledgement: Jacky Goddard, Mike Fisher, Yannick Tremolet, Massimo
More informationImpact of combined AIRS and GPS- RO data in the new version of the Canadian global forecast model
www.ec.gc.ca Impact of combined AIRS and GPS- RO data in the new version of the Canadian global forecast model Data assimilation and Satellite Meteorology Section Dorval, Qc, Canada Co-authors: J. Aparicio,
More informationAssimilation of Global Positioning System radio occultation data in the ECMWF ERA Interim reanalysis
Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 136: 1972 199, October 21 Part B Assimilation of Global Positioning System radio occultation data in the ECMWF ERA Interim
More informationERA-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 informationOSSE to infer the impact of Arctic AMVs extracted from highly elliptical orbit imagery
OSSE to infer the impact of Arctic AMVs extracted from highly elliptical orbit imagery L. Garand 1 Y. Rochon 1, S. Heilliette 1, J. Feng 1, A.P. Trishchenko 2 1 Environment Canada, 2 Canada Center for
More informationAMVs in the ECMWF system:
AMVs in the ECMWF system: Overview of the recent operational and research activities Kirsti Salonen and Niels Bormann Slide 1 AMV sample coverage: monitored GOES-15 GOES-13 MET-10 MET-7 MTSAT-2 NOAA-15
More informationBias correction of satellite data at the Met Office
Bias correction of satellite data at the Met Office Nigel Atkinson, James Cameron, Brett Candy and Steve English ECMWF/EUMETSAT NWP-SAF Workshop on Bias estimation and correction in data assimilation,
More informationVariational bias correction in ERA-Interim
575 Variational bias correction in ERA-Interim Dick Dee and Sakari Uppala Research Department October 8 Series: ECMWF Technical Memoranda A full list of ECMWF Publications can be found on our web site
More informationApplication of PCA to IASI: An NWP Perspective. Andrew Collard, ECMWF. Acknowledgements to Tony McNally, Jean-Noel Thépaut
Application of PCA to IASI: An NWP Perspective Andrew Collard, ECMWF Acknowledgements to Tony McNally, Jean-Noel Thépaut Overview Introduction Why use PCA/RR? Expected performance of PCA/RR for IASI Assimilation
More informationECMWF ReAnalysis, , ERA-40
ECMWF ReAnalysis, 1957-2001, ERA-40 Sakari Uppala ECMWF, Reading, U.K., Sakari.Uppala@ecmwf.int 1. Introduction The new reanalysis project ERA-40, supported by the European Union and several other organizations,
More informationMonitoring long data assimilation time series: a reanalysis perspective with ERA-Interim
Monitoring long data assimilation time series: a reanalysis perspective with ERA-Interim Paul Poli, Dick Dee, Paul Berrisford, Slide 1 Sakari Uppala Slide 1 Introduction: global reanalyses Goal: Produce
More informationNOAA MSU/AMSU Radiance FCDR. Methodology, Production, Validation, Application, and Operational Distribution. Cheng-Zhi Zou
NOAA MSU/AMSU Radiance FCDR Methodology, Production, Validation, Application, and Operational Distribution Cheng-Zhi Zou NOAA/NESDIS/Center for Satellite Applications and Research GSICS Microwave Sub-Group
More informationSatellite data assimilation for Numerical Weather Prediction (NWP)
Satellite data assimilation for Numerical Weather Prediction (NWP Niels Bormann European Centre for Medium-range Weather Forecasts (ECMWF (with contributions from Tony McNally, Slide 1 Jean-Noël Thépaut,
More informationOBSERVING SYSTEM EXPERIMENTS ON ATOVS ORBIT CONSTELLATIONS
OBSERVING SYSTEM EXPERIMENTS ON ATOVS ORBIT CONSTELLATIONS Enza Di Tomaso and Niels Bormann European Centre for Medium-range Weather Forecasts Shinfield Park, Reading, RG2 9AX, United Kingdom Abstract
More informationInteraction of GPS Radio Occultation with Hyperspectral Infrared and Microwave Sounder Assimilation
Interaction of GPS Radio Occultation with Hyperspectral Infrared and Microwave Sounder Assimilation Benjamin Ruston, Steve Swadley, Nancy Baker, Rolf Langland Michael Rennie, and Huw Lewis Naval Research
More informationThe 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 informationAn update on the NOAA MSU/AMSU CDR development
An update on the NOAA MSU/AMSU CDR development Cheng-Zhi Zou NOAA/NESDIS/Center for Satellite Applications and Research International TOVS Study Conferences (ITSC), Monterey, CA, April 14-20, 2010 1 Outline
More informationTHE USE OF SATELLITE OBSERVATIONS IN NWP
THE USE OF SATELLITE OBSERVATIONS IN NWP The impact of satellite measurements on NWP began in the early 70s with the operational use of global satellite cloud imagery. Nowadays the impact is from active
More informationonboard of Metop-A COSMIC Workshop 2009 Boulder, USA
GRAS Radio Occultation Measurements onboard of Metop-A A. von Engeln 1, Y. Andres 1, C. Cardinali 2, S. Healy 2,3, K. Lauritsen 3, C. Marquardt 1, F. Sancho 1, S. Syndergaard 3 1 2 3 EUMETSAT, ECMWF, GRAS
More informationGlobal reanalysis: Some lessons learned and future plans
Global reanalysis: Some lessons learned and future plans Adrian Simmons and Sakari Uppala European Centre for Medium-Range Weather Forecasts With thanks to Per Kållberg and many other colleagues from ECMWF
More informationSatellite data assimilation for Numerical Weather Prediction II
Satellite data assimilation for Numerical Weather Prediction II Niels Bormann European Centre for Medium-range Weather Forecasts (ECMWF) (with contributions from Tony McNally, Jean-Noël Thépaut, Slide
More informationDirect assimilation of all-sky microwave radiances at ECMWF
Direct assimilation of all-sky microwave radiances at ECMWF Peter Bauer, Alan Geer, Philippe Lopez, Deborah Salmond European Centre for Medium-Range Weather Forecasts Reading, Berkshire, UK Slide 1 17
More informationMasahiro Kazumori, Takashi Kadowaki Numerical Prediction Division Japan Meteorological Agency
Development of an all-sky assimilation of microwave imager and sounder radiances for the Japan Meteorological Agency global numerical weather prediction system Masahiro Kazumori, Takashi Kadowaki Numerical
More informationSatellite Observations of Greenhouse Gases
Satellite Observations of Greenhouse Gases Richard Engelen European Centre for Medium-Range Weather Forecasts Outline Introduction Data assimilation vs. retrievals 4D-Var data assimilation Observations
More informationSATELLITE DATA IMPACT STUDIES AT ECMWF
SATELLITE DATA IMPACT STUDIES AT ECMWF Outline of talk 1. Impact of early sounders (past and in reanalysis) 2. Problems with satellite retrievals 3. Direct use of radiances 4. Impact experiments with ERA
More informationAssimilation of GPS radio occultation measurements at Météo-France
Assimilation of GPS radio occultation measurements at Météo-France P. Poli Centre National de Recherches Météorologiques CNRS-GAME, 42 av. Coriolis, 31057 Toulouse, France paul.poli@meteo.fr G. Beyerle,
More informationAMVs in the operational ECMWF system
AMVs in the operational ECMWF system Kirsti Salonen and Niels Bormann Slide 1 AMV sample coverage: monitored GOES-15 GOES-13 MET-10 MET-7 MTSAT-2 NOAA-15 NOAA-18 NOAA-19 FY-2D FY-2E AQUA TERRA METOP-A
More informationAn evaluation of radiative transfer modelling error in AMSU-A data
An evaluation of radiative transfer modelling error in AMSU-A data Cristina Lupu, Alan Geer, Niels Bormann and Stephen English 20 th International TOVS Study Conference, Lake Geneva, USA 28 October 2015
More informationThe 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 informationExperiences from implementing GPS Radio Occultations in Data Assimilation for ICON
Experiences from implementing GPS Radio Occultations in Data Assimilation for ICON Harald Anlauf Research and Development, Data Assimilation Section Deutscher Wetterdienst, Offenbach, Germany IROWG 4th
More informationImproving the radiative transfer modelling for the assimilation of radiances from SSU and AMSU-A stratospheric channels
from Newsletter Number 116 Summer 8 METEOROLOGY Improving the radiative transfer modelling for the assimilation of radiances from SSU and AMSU-A stratospheric channels doi:.1957/e7hab85vrt This article
More informationBias correction of satellite data at the Met Office
Bias correction of satellite data at the Met Office Nigel Atkinson, James Cameron, Brett Candy and Stephen English Met Office, Fitzroy Road, Exeter, EX1 3PB, United Kingdom 1. Introduction At the Met Office,
More informationWind tracing from SEVIRI clear and overcast radiance assimilation
Wind tracing from SEVIRI clear and overcast radiance assimilation Cristina Lupu and Tony McNally ECMWF, Reading, UK Slide 1 Outline Motivation & Objective Analysis impact of SEVIRI radiances and cloudy
More informationERA-CLIM2-WP3: Satellite data reprocessing and inter-calibration
ERA-CLIM2-WP3: Satellite data reprocessing and inter-calibration Rob Roebeling, Jörg Schulz, Marie Doutriaux- Boucher, Alessio Lattanzio, Viju John, and Andrey Bogdanov Thanks to: Christian Marquardt and
More informationAn Evaluation of FY-3C MWHS-2 and its potential to improve forecast accuracy at ECMWF
An Evaluation of FY-3C MWHS-2 and its potential to improve forecast accuracy at ECMWF Heather Lawrence, final-year EUMETSAT fellow, ECMWF Supervised by: Niels Bormann & Stephen English Slide 1 China s
More informationSatellite Radiance Data Assimilation at the Met Office
Satellite Radiance Data Assimilation at the Met Office Ed Pavelin, Stephen English, Brett Candy, Fiona Hilton Outline Summary of satellite data used in the Met Office NWP system Processing and quality
More informationA two-season impact study of the Navy s WindSat surface wind retrievals in the NCEP global data assimilation system
A two-season impact study of the Navy s WindSat surface wind retrievals in the NCEP global data assimilation system Li Bi James Jung John Le Marshall 16 April 2008 Outline WindSat overview and working
More information4/23/2014. Radio Occultation as a Gap Filler for Infrared and Microwave Sounders Richard Anthes Presentation to Joshua Leiling and Shawn Ward, GAO
Radio Occultation as a Gap Filler for Infrared and Microwave Sounders Richard Anthes Presentation to Joshua Leiling and Shawn Ward, GAO 1 RICHARD ANTHES is President Emeritus of the University Corporation
More informationERA-CLIM2 Review Meeting WP3 Overview
WP3 Overview Stefan Brönnimann Overview > Work achieved during last 9 months D.3.3 D.3.6, 3.7 D.3.10, 3.13, 3.14 D.3.19 > Outreach and publications December 15, 2017 2 Registry -> Updated, Delivered December
More informationWeak Constraints 4D-Var
Weak Constraints 4D-Var Yannick Trémolet ECMWF Training Course - Data Assimilation May 1, 2012 Yannick Trémolet Weak Constraints 4D-Var May 1, 2012 1 / 30 Outline 1 Introduction 2 The Maximum Likelihood
More informationThe impact of satellite data on NWP
The impact of satellite data on NWP Anthony McNally European Centre for Medium-range Weather Forecasts (ECMWF) Shinfield Park, Reading RG2 9AX, UK Anthony.McNally@ecmwf.int ABSTRACT This study looks at
More informationIntroduction to Reanalysis and JRA-55
TCC Training Seminar (29 JAN. 2018) Introduction to Reanalysis and JRA-55 Masashi HARADA Climate Prediction Division, Japan Meteorological Agency Outline 1. Introduction to Reanalysis Basic dataset for
More informationSpatial and inter-channel observation error characteristics for AMSU-A and IASI and applications in the ECMWF system
Spatial and inter-channel observation error characteristics for AMSU-A and IASI and applications in the system Niels Bormann, Andrew Collard, Peter Bauer Outline 1) Estimation of observation errors AMSU-A
More informationSatellite Assimilation Activities for the NRL Atmospheric Variational Data Assimilation (NAVDAS) and NAVDAS- AR (Accelerated Representer) Systems
Satellite Assimilation Activities for the NRL Atmospheric Variational Data Assimilation (NAVDAS) and NAVDAS- AR (Accelerated Representer) Systems Marine Meteorology Division, NRL Monterey Nancy Baker,
More informationProgress on the assimilation of GNSS-RO at ECMWF
Progress on the assimilation of GNSS-RO at ECMWF Sean Healy ECMWF/ROM SAF Many thanks to Chris Burrows, Ian Culverwell, Chris Marquardt, Sergey Sokolovskiy, the ROM SAF, Adrian Simmons, ECMWF November
More informationEUMETSAT Satellite Data Records for Reanalysis
EUMETSAT Satellite Data Records for Reanalysis Jörg Schulz, Tim Hewison, Rob Roebeling, Roger Huckle Acknowledgements: Julia Figa, Christian Marquardt, Rüdiger Lang, Lothar Schüller, Bertrand Theodore
More informationObserving System Performance in the CFS Reanalysis
Observing System Performance in the CFS Reanalysis JACK WOOLLEN SAIC/EMC/NCEP These data report information using conventional meteorological units (p,q,t,u,v)either directly or indirectly observed and
More informationIMPORTANCE 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 informationOperational Use of Scatterometer Winds at JMA
Operational Use of Scatterometer Winds at JMA Masaya Takahashi Numerical Prediction Division, Japan Meteorological Agency (JMA) 10 th International Winds Workshop, Tokyo, 26 February 2010 JMA Outline JMA
More informationNinth Workshop on Meteorological Operational Systems. Timeliness and Impact of Observations in the CMC Global NWP system
Ninth Workshop on Meteorological Operational Systems ECMWF, Reading, United Kingdom 10 14 November 2003 Timeliness and Impact of Observations in the CMC Global NWP system Réal Sarrazin, Yulia Zaitseva
More informationAssimilation of GNSS Radio Occultation Data at JMA. Hiromi Owada, Yoichi Hirahara and Masami Moriya Japan Meteorological Agency
Assimilation of GNSS Radio Occultation Data at JMA Hiromi Owada, Yoichi Hirahara and Masami Moriya Japan Meteorological Agency COSMIC-IROWG 2017, 21-27 September 2017 1 Outline Current RO data utilization
More informationAssimilation of MIPAS limb radiances at ECMWF using 1d and 2d radiative transfer models
Assimilation of MIPAS limb radiances at ECMWF using 1d and 2d radiative transfer models Niels Bormann, Sean Healy, Mats Hamrud, and Jean-Noël Thépaut European Centre for Medium-range Weather Forecasts
More informationUse of satellite radiances in the global assimilation system at JMA
Use of satellite radiances in the global assimilation system at JMA Kozo Okamoto, Hiromi Owada, Yoshiaki Sato, Toshiyuki Ishibashi Japan Meteorological Agency ITSC-XV: Maratea, Italy, 4-10 October 2006
More informationNear-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 informationInitial results from using ATMS and CrIS data at ECMWF
Initial results from using ATMS and CrIS data at ECMWF Niels Bormann 1, William Bell 1, Anne Fouilloux 1, Tony McNally 1, Ioannis Mallas 1, Nigel Atkinson 2, Steve Swadley 3 Slide 1 1 ECMWF, 2 Met Office,
More informationAll-sky observations: errors, biases, representativeness and gaussianity
All-sky observations: errors, biases, representativeness and gaussianity Alan Geer, Peter Bauer, Philippe Lopez Thanks to: Bill Bell, Niels Bormann, Anne Foullioux, Jan Haseler, Tony McNally Slide 1 ECMWF-JCSDA
More informationNumerical Weather prediction at the European Centre for Medium-Range Weather Forecasts
Numerical Weather prediction at the European Centre for Medium-Range Weather Forecasts Time series curves 500hPa geopotential Correlation coefficent of forecast anomaly N Hemisphere Lat 20.0 to 90.0 Lon
More informationThe potential impact of ozone sensitive data from MTG-IRS
The potential impact of ozone sensitive data from MTG-IRS R. Dragani, C. Lupu, C. Peubey, and T. McNally ECMWF rossana.dragani@ecmwf.int ECMWF May 24, 2017 The MTG IRS Long-Wave InfraRed band O 3 Can the
More informationAssimilation of Cloud-Affected Infrared Radiances at Environment-Canada
Assimilation of Cloud-Affected Infrared Radiances at Environment-Canada ECMWF-JCSDA Workshop on Assimilating Satellite Observations of Clouds and Precipitation into NWP models ECMWF, Reading (UK) Sylvain
More informationERA-Interim: New ECMWF reanalysis products from 1989 onwards
from Newsletter Number Winter / METEOROLOGY ERA-Interim: New ECMWF reanalysis products from 989 onwards doi:.9/pocnexc A. Simmons et al. ERA-Interim: New ECMWF reanalysis products from 989 onwards This
More informationData Short description Parameters to be used for analysis SYNOP. Surface observations by ships, oil rigs and moored buoys
3.2 Observational Data 3.2.1 Data used in the analysis Data Short description Parameters to be used for analysis SYNOP Surface observations at fixed stations over land P,, T, Rh SHIP BUOY TEMP PILOT Aircraft
More informationExtending the use of surface-sensitive microwave channels in the ECMWF system
Extending the use of surface-sensitive microwave channels in the ECMWF system Enza Di Tomaso and Niels Bormann European Centre for Medium-range Weather Forecasts Shinfield Park, Reading, RG2 9AX, United
More informationEUMETSAT Beitrag zu CAMS und C3S. Jörg Schulz. Credits to many EUMETSAT Staff
ETSAT Beitrag zu CAMS und C3S Jörg Schulz Credits to many ETSAT Staff The Copernicus Programme at ETSAT ETSAT is entrusted by the European Commission; ETSAT s Delegation Agreement is organised in 3 major
More informationEvaluation of FY-3B data and an assessment of passband shifts in AMSU-A and MSU during the period
Interim report of Visiting Scientist mission NWP_11_05 Document NWPSAF-EC-VS-023 Version 0.1 28 March 2012 Evaluation of FY-3B data and an assessment of passband Qifeng Lu 1 and William Bell 2 1. China
More informationComparison results: time series Margherita Grossi
Comparison results: time series Margherita Grossi GOME Evolution Climate Product v2.01 vs. ECMWF ERAInterim GOME Evolution Climate Product v2.01 vs. SSM/I HOAPS4 In order to assess the quality and stability
More informationImpact of hyperspectral IR radiances on wind analyses
Impact of hyperspectral IR radiances on wind analyses Kirsti Salonen and Anthony McNally Kirsti.Salonen@ecmwf.int ECMWF November 30, 2017 Motivation The upcoming hyper-spectral IR instruments on geostationary
More informationBias correction of satellite data at Météo-France
Bias correction of satellite data at Météo-France É. Gérard, F. Rabier, D. Lacroix, P. Moll, T. Montmerle, P. Poli CNRM/GMAP 42 Avenue Coriolis, 31057 Toulouse, France 1. Introduction Bias correction at
More informationImpact Evaluation of New Radiance data, Reduced Thinning and Higher Analysis Resolution in the GEM Global Deterministic Prediction System
Impact Evaluation of New Radiance data, Reduced Thinning and Higher Analysis Resolution in the GEM Global Deterministic Prediction ITSC-17, Monterey, California Presenter: G. Deblonde*1, Co-authors: A.
More informationSingle Frequency Radio Occultation Retrievals: Impact on Numerical Weather Prediction
ROM SAF Report 18 Ref: SAF/ROM/DMI/REP/RSR/018 Web: www.romsaf.org Date: 3 March 2014 ROM SAF Report 18 Single Frequency Radio Occultation Retrievals: Impact on Numerical Weather Prediction Sean Healy
More informationChanges in the Arpège 4D-VAR and LAM 3D-VAR. C. Fischer With contributions by P. Brousseau, G. Kerdraon, J.-F. Mahfouf, T.
Changes in the Arpège 4D-VAR and LAM 3D-VAR C. Fischer With contributions by P. Brousseau, G. Kerdraon, J.-F. Mahfouf, T. Montmerle Content Arpège 4D-VAR Arome-France Other applications: Aladin Overseas,
More informationQuality monitoring and bias correction for satellite data in JRA-25. Shinya Kobayashi Japan Meteorological Agency
Quality monitoring and bias correction for satellite data in JRA-25 Shinya Kobayashi Japan Meteorological Agency Table of Contents Outlines of JRA-25 Precise quality monitoring for TOVS data Assimilating
More informationThe FORMOSAT-3/COSMIC Five Year Mission Achievements: Atmospheric and Climate. Bill Kuo UCAR COSMIC
The FORMOSAT-3/COSMIC Five Year Mission Achievements: Atmospheric and Climate Bill Kuo UCAR COSMIC Outline FORMOSAT-3/COSMIC: The world s first GPSRO constellation system with open-loop tracking FORMOSAT-3/COSMIC
More informationGNSS radio occultation constellation observing system experiments
692 GNSS radio occultation constellation observing system experiments Peter Bauer, Gábor Radnóti, Sean Healy, Carla Cardinali Research Department Submitted to Monthly Weather Review February 2013 Series:
More informationECMWF 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 informationAnalysis of an Observing System Experiment for the Joint Polar Satellite System
Analysis of an Observing System Experiment for the Joint Polar Satellite System S. Lord, George Gayno 1 and Fanglin Yang 1 24 November 2015 1 I. M. Systems Group at NCEP/EMC 1 Outline The Joint Polar Satellite
More informationAn Overview of Atmospheric Analyses and Reanalyses for Climate
An Overview of Atmospheric Analyses and Reanalyses for Climate Kevin E. Trenberth NCAR Boulder CO Analysis Data Assimilation merges observations & model predictions to provide a superior state estimate.
More informationAMVs in the ECMWF system:
AMVs in the ECMWF system: Highlights of the operational and research activities Kirsti Salonen and Niels Bormann Slide 1 Number of used AMVs Look back: how the use of AMVs has evolved NOAA-15,-16,-18,-19
More informationThe Impact of Observational data on Numerical Weather Prediction. Hirokatsu Onoda Numerical Prediction Division, JMA
The Impact of Observational data on Numerical Weather Prediction Hirokatsu Onoda Numerical Prediction Division, JMA Outline Data Analysis system of JMA in Global Spectral Model (GSM) and Meso-Scale Model
More informationLatest developments and performances in ARPEGE and ALADIN-France
Latest developments and performances in ARPEGE and ALADIN-France François Bouyssel ( and many contributors ) CNRM-GAME, Météo-France 18th ALADIN / HIRLAM Workshop, Bruxelles, 7-10 April 2008 Plan Recent
More informationStratospheric temperature trends from GPS-RO and Aqua AMSU measurements
Stratospheric temperature trends from GPS-RO and Aqua AMSU measurements Hans Gleisner, Johannes K. Nielsen, Stig Syndergard, Kent B. Lauritsen DMI & ROM SAF Contents  Trends in the 15-year ROM SAF dry-temperature
More informationConstrained Bias Correction (CBC) For Satellite Radiance Assimilation. Wei Han NWPC/CMA
Constrained Bias Correction (CBC) For Satellite Radiance Assimilation Wei Han NWPC/CMA ITSC19, March 27, 2014 Outline Background The ias correction is an ill posed prolem Two Remain Issues of ias correction
More informationThe 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 informationThe satellite winds in the operational NWP system at Météo-France
The satellite winds in the operational NWP system at Météo-France Christophe Payan CNRM UMR 3589, Météo-France/CNRS 13th International Winds Workshop, Monterey, USA, 27 June 1st July 2016 Outline Operational
More informationImpact Analysis of LEO Hyperspectral Sensor IFOV size on the next generation NWP model forecast performance
Impact Analysis of LEO Hyperspectral Sensor IFOV size on the next generation NWP model forecast performance Agnes Lim 1, Zhenglong Li 1, James Jung 1, Allen Huang 1, Jack Woollen 2, FW Nagle 1, Greg Quinn
More informationAssimilation of IASI data at the Met Office. Fiona Hilton Nigel Atkinson ITSC-XVI, Angra dos Reis, Brazil 07/05/08
Assimilation of IASI data at the Met Office Fiona Hilton Nigel Atkinson ITSC-XVI, Angra dos Reis, Brazil 07/05/08 Thanks to my other colleagues! Andrew Collard (ECMWF) Brett Candy, Steve English, James
More informationCan the assimilation of atmospheric constituents improve the weather forecast?
Can the assimilation of atmospheric constituents improve the weather forecast? S. Massart Acknowledgement: M. Hamrud Seventh International WMO Symposium on Data Assimilation -5 September 207 Very simple
More informationECMWF s forecast system developments
ECMWF s forecast system developments Erik Andersson Workshop on Meteorological Operational Systems, Reading, 2-6 November 2009 Acknowledgement: Slide 1 Colleagues in RD and OD, Peter Bauer, Carla Cardinali
More information