Ocean Vector Wind as Essential Climate Variable.
|
|
- Tamsin Aleesha Welch
- 5 years ago
- Views:
Transcription
1 Ocean Vector Wind as Essential Climate Variable
2 Context WCRP, World Climate Research Program WOAP, WCRP Observation Assimilation Panel GCOS, Global Climate Observing System Essential Climate Variable Ocean Vector Wind Fundamental Climate Data Records FCDR inventory
3 Satelite Ocean Winds NRT ASCAT, QSCAT, OSCAT: NOAA, ISRO, OSI SAF L2/L3/L4 archive, all scatterometers, PO.DAAC, Ifremer, RSS, FSU, EUMETSAT, WindSat (Bettenhausen, NRL) NRT / archive Wind speeds from radiometers (RSS, HOAPS) archive (SMMR, SSMI(S), AMSR, MIS,.. ) Altimeter wind speeds (GeoSat, Topex, GFO, ERS, Jason, ENVISAT, CryoSat, HY2 (2011), SARAL (2012), Jason3 (2013), S3 (2013)) SAR (off-line) (ERS, RadarSat ($), ENVISAT, S1 (2012),.. ) Variables Wind vector or speed, stress vector, curl, divergence, see also white paper OceanObs 09 paper by Bourassa et al.
4 Sustainability Radiometer missions, wind speed swath SSM/I, WindSat (vector > 8 m/s), MIS Altimeter missions, wind speed track Historic scatterometer missions, wind vector swath SeaSat, 3 months in 1978 ERS1&ERS2 AMI (ERS2 is regional since) NSCAT and SeaWinds1, each 9 months QuikScat, ASCAT, 2007OceanSat-2, Continuous wind vector coverage since 1991
5 GLOBAL SCATTEROMETER MISSIONS (CEOS VC) Launch Date C-band 10/06 EPS SG Europe Ku-band 6/99 QuikSCAT USA Global availability uncertain Availability?? Combined C- and Ku-band FY-3E with 2FS China Operational Series with 2FS India Operatin IOVWST, Extended MayApproved 2011 sw 24feb11
6 GCOS needs 1. Full description of all steps taken in the generation of FCDRs and ECV products, including algorithms used, specific FCDRs used, and characteristics and outcomes of validation activities 2. Application of appropriate calibration/validation activities 3. Statement of expected accuracy, stability and resolution (time, space) of the product, including, where possible, a comparison with the GCOS requirements 4. Assessment of long-term stability and homogeneity of the product 5. Information on the scientific review process related to FCDR/product construction (including algorithm selection), FCDR/product quality and applications 6. Global coverage of FCDRs and products where possible 7. Version management of FCDRs and products, particularly in connection with improved algorithms and reprocessing 8. Arrangements for access to the FCDRs, products and all documentation 9. Timeliness of data release to the user community to enable monitoring activities 10.Facility for user feedback 11.Application of a quantitative maturity index if possible 12.Publication of a summary (a webpage or a peer-reviewed article) documenting point-by-point the extent to which this guideline has been followed These are NRT ops. production needs too (planned up to L2/L3) GCOS-143 (WMO/TD No. 1530)
7 Assessment of ocean ECVs Geophysical parameter and related ECV Existing and/or potential users History and outlook; sustainability Availability and DOI registration Maturity (Bates & Barkstrom maturity index or others) Point-by-point description of how the effort adheres to the GCOS guidelines Strengths and weaknesses or limitations Uncertainty estimates, possibly as a function of time Dataset details, such as time period, spatial resolution, data formats From FCDR inventory; I need your help!
8 Wind stress ECV Radiometers/scatterometers measure ocean roughness Ocean roughness consists in small (cm) waves generated by air impact and subsequent wave breaking processes; depends on water mass density ρsea= 1024±4 kg m-3 and e.m. sea properties (assumed constant) Air-sea momentum exchange is described by τ = ρair u* u*, the stress vector; depends on air mass density ρair, friction velocity vector u* Surface layer winds (e.g., u10) depend on u*, atmospheric stability, surface roughness and the presence of ocean currents Equivalent neutral winds, u10n, depend only on u*, surface roughness and the presence of ocean currents and is currently used for backscatter geophysical model functions (GMFs) ρair. u10n is suggested to be a better input for backscatter GMFs (under evaluation by IOVWST)
9 Users FCDR/ECV stress Oceanography, eddy scale winds (MyOcean) Re-analyses (data assimilation uses wind) IOVWST; process studies (air-sea momentum exchange, cyclones, extreme winds, convection, tropical circulation,...) Climate, fluxes (incl. carbon) Design, policy-makers, wind energy, adaptation,..
10 Strengths / Limitations Scatterometer / Passive Excellent precision, mature algorithms, complete coverage Small scales (25 km), order better than NWP Since 1991 vector winds Intercalibration, accuracy assessment speed scale Calibration above 30 m/s (truth?) Rain (bias) for Ku band and passive systems Temporal coverage does not match scales (yet) Low spatial resolution (physical processes) Ambiguous direction retrieval
11 Strengths/Limitations Altimeter Continuity/sustainability Potentially low uncertainty Limited speed range (25 m/s) Instrument anomalies, calibration,.. Very low coverage (track) Sea state
12 L1 Calibration Transponder procedure in development for ASCAT Rain forest (stable points) Sea ice / snow /desert (stable points) Geographically limited, while some errors may be orbit phase dependent Need to combine all methods of calibration, including ocean calibration Calibration procedures and GMFs need to be shared between producers to achieve intercalibrated NRCS WOAP workshop, April 2011 IOVWST, May 2011
13 ASCAT stability - Ocean calibration Trends of 0.1 m/s just visible (10 year req.) Sampling error to be accounted for (buoy) WOAP workshop, April 2011 IOVWST, May 2011
14 Precision, accuracy: triple collocation u v Bias ASCAT (m/s) Bias ECMWF (m/s) Trend ASCAT Trend ECMWF σ ASCAT (m/s) σ ECMWF (m/s) Representation error *) (m/s) Representation error is part of ECMWF error OSI SAF NRT req. 2 m/s, WMO in speed/dir. See also Vogelzang et al., JGR, 2011 WOAP workshop, April 2011 IOVWST, May 2011 Spatial representation error from spectrum difference integrated from scales from 25 km to 800 km
15 Spatial resolution Spectral analysis of collocated fields Comparison to in situ spectra in time / space to check energy cascade behaviour Verification of variances and resolution by averaging products (e.g., QSCAT 100km vs 25km, ASCAT 25km vs 12.5km) WOAP workshop, April 2011 IOVWST, May 2011
16 Define Uncertainty, Stability, Resolution Users have little clue how different products compare and whether they use the product most fit for their purpose Standardization of methods (software?) to assess uncertainty, resolution and stability to be discussed in the IOVWST NWP ocean calibration, triple collocation, CDF matching The resulting speed scale standard would be applicable to scatterometers, radiometers, altimeters and SAR Accuracy of speed scale TBD (speed dependent) Producers to share match-up data bases / independent cal/val Publish / post results for users (in central place(s)?) WOAP workshop, April 2011 IOVWST, May 2011
17 Maturity Index
18 Summary Several producers provide OVW FCDRs, which are defensible by their own verification metric These products cannot be easily understood nor combined by the user community Mature (5) stable products exist over long times, but not reprocessed according to GCOS guidelines; some uncoordinated RP plans exist Matchup data bases exist too, but by producer Moored buoys are the main reference, but lacking in open ocean Quality metrics and assessment standards (software) exist too by producer, but resolution, wind scale, wind quality to be coordinated/agreed An IOVWST has been set up last year, which could address ECV coordinated needs when mandated as such CEOS Virtual Constellation coordinates satellites/products
19 Suggested actions Obtain data set details from producers and make ECV inventory (me) Reprocessing of all satellite winds following GCOS guidelines Share matchup data bases Extend moored buoy network in open ocean Coordinate quality metrics and assessment standards (software) on resolution, wind scale, wind quality IOVWST to be mandated to address wind ECV coordinated needs (by satellite agencies) (incl. altimeters) CEOS VC to promote satellite coordination and intercalibration Maintain L1 reprocessing facilities (e.g., ESA ERS) Complete efforts in ASCAT and OSCAT calibration Perform ASCAT-ERS and QSCAT-OSCAT NRCS intercalibration Finally, develop a reference wind scale (intercalibration) for all satellite winds, scatterometer, radiometer, altimeter, SAR
20 Discussion!
21 WMO 21 ISRO 15May Dec IOVWST,
22 Triple collocation for winds wbuoy = t + δbuoy w = wind component wscat = ascatt + bscat + δscat wback = abackt + bback + δback Calculate first and second (mixed) moments Test assumptions on errors and derive spatial representation error Eliminate <t> and <t 2> (get rid of the truth) Solve for calibration coefficients and error variances <δ 2> Apply CDF matching for higher order calibration (beyond linear) For derivation: Ad Stoffelen, 1998, Toward the true near-surface wind speed: error modeling and calibration using triple collocation. J. Geophys. Res. 103C4, WOAP workshop, April 2011 IOVWST, May 2011
23 Ocean momentum The atmospheric stress forces wave motion by momentum transfer Wikipedia Wave momentum depends on water mass density Varies by.5% WOAP workshop, April 2011 IOVWST, May 2011
24 Air-density effect on satellite ocean wind Microwave roughness relates to stress Lower air density (Tropics) relates to higher winds 10% change pole vs Tropics, gives 5%, or ~0.4 m/s IOVWST meeting, May (c) ECMWF, Hans Hersbach
25 Air-sea interaction ECMWF weak Chelton et al., Science ECMWF model ECMWF model
26 Lack of ageostrophic flow ECMWF, Hans Hersbach; A. Brown et al., 2005
27 6-hourly EC wind change (4 cycles) Forcing is dominated by transient or temporal effects - temporal wind variance larger than in small scales
28 ECMWF increments ECMWF analysis increments modest wrt spatial deficit (1.2 m 2s-2) Most mesoscale scatterometer information remains unexploited Develop MyOcean L3/L4 products
29 GCOS guidelines 1) Full description of all steps taken in the generation of FCDRs and ECV products, including algorithms used, specific FCDRs used, and characteristics and outcomes of validation activities 2) Application of appropriate calibration/validation activities 3) Statement of expected accuracy, stability and resolution (time, space) of the product, including, where possible, a comparison with the GCOS requirements 4) Assessment of long-term stability and homogeneity of the product 5) Information on the scientific review process related to FCDR/product construction (including algorithm selection), FCDR/product quality and applications 6) Global coverage of FCDRs and products where possible 7) Version management of FCDRs and products, particularly in connection with improved algorithms and reprocessing 8) Arrangements for access to the FCDRs, products and all documentation 9) Timeliness of data release to the user community to enable monitoring activities 10) Facility for user feedback 11) Application of a quantitative maturity index if possible 12) Publication of a summary (a webpage or a peer-reviewed article) documenting point-by-point the extent to which this guideline has been followed
AWDP km. 25 km
MyOcean2 Wind AWDP 1 12.5 km 25 km Tropical variability 1. Dry areas reasonable 2. NWP models lack airsea interaction in rainy areas 3. ASCAT scatterometer does a good job near rain 4. QuikScat, OSCAT
More informationClimate data records from OSI SAF scatterometer winds. Anton Verhoef Jos de Kloe Jeroen Verspeek Jur Vogelzang Ad Stoffelen
Climate data records from OSI SAF scatterometer winds Anton Verhoef Jos de Kloe Jeroen Verspeek Jur Vogelzang Ad Stoffelen Outline Motivation Planning Preparation and methods Quality Monitoring Output
More informationDo Differences between NWP Model and EO Winds Matter?
Do Differences between NWP Model and EO Winds Matter? Ad.Stoffelen@knmi.nl Anton Verhoef, Jos de Kloe, Jur Vogelzang, Jeroen Verspeek, Greg King, Wenming Lin, Marcos Portabella Ana Trindade Substantial
More informationEUMETSAT SAF Wind Services
EUMETSAT SAF Wind Services Ad Stoffelen Marcos Portabella (CMIMA) Anton Verhoef Jeroen Verspeek Jur Vogelzang Maria Belmonte scat@knmi.nl Status SAF activities NWP SAF software AWDP1. beta tested; being
More informationA - E R - E ON CLIMATE DATA RECORDS, TRENDS AND EXTREMES
A - E R - E ON CLIMATE DATA RECORDS, TRENDS AND EXTREMES Ad Stoffelen, Anton Verhoef, Jeroen Verspeek, Jos de Kloe, Jur Vogelzang, Maria Belmonte : KNMI, the Netherlands Ana Trindade, Marcos Portabella
More informationTERMS OF REFERENCE FOR THE CEOS OCEAN SURFACE VECTOR WINDS VIRTUAL CONSTELLATION VERSION 1.0 LAST UPDATED: 19 DECEMBER 2013
TERMS OF REFERENCE FOR THE CEOS OCEAN SURFACE VECTOR WINDS VIRTUAL CONSTELLATION VERSION 1.0 LAST UPDATED: 19 DECEMBER 2013 CONSTELLATION NAME: Ocean Surface Vector Winds Virtual Constellation (OSVW- VC)
More informationSTATUS ON THE USE OF SCATTEROMETER DATA AT METEO FRANCE
STATUS ON THE USE OF SCATTEROMETER DATA AT METEO FRANCE Christophe Payan Centre National de Recherches Météorologiques, M CNRS-GAME CNRS and Météo-France Toulouse, France 9th International Winds Workshop,
More informationScatterometer winds.
Scatterometer winds Ad.Stoffelen@KNMI.nl Manager NWP SAF at KNMI Manager OSI SAF at KNMI PI European OSCAT Cal/Val project Leader KNMI Satellite Winds Group www.knmi.nl/scatterometer scat@knmi.nl Overview
More informationProgrammatic Perspectives
NOAA Programmatic Perspectives Stan Wilson NOAA Satellite & Information Service IOVW Science Team Meeting, Annapolis, 9-11 May 2011 1 NOAA Plans Beyond QuikSCAT NOAA has been pursuing two avenues to meet
More informationesurge A Storm Surge Demonstration Project
esurge A Storm Surge Demonstration Project Helen Snaith British Oceanographic Data Centre, National Oceanography Centre, UK The Impact of Storm Surges Great flood in the Netherlands History: Zeeland, 31
More informationJulia Figa-Saldaña & Klaus Scipal
Julia Figa-Saldaña & Klaus Scipal julia.figa@eumetsat.int klaus.scipal@esa.int Meeting, Outline MetOp/EPS status MetOp/EPS Second Generation status 2016 scatterometer conference Other European ocean programme
More informationIntegrating Multiple Scatterometer Observations into a Climate Data Record of Ocean Vector Winds
Integrating Multiple Scatterometer Observations into a Climate Data Record of Ocean Vector Winds Lucrezia Ricciardulli and Frank Wentz Remote Sensing Systems, CA, USA E-mail: Ricciardulli@remss.com presented
More informationBringing Consistency into High Wind Measurements with Spaceborne Microwave Radiometers and Scatterometers
International Ocean Vector Wind Science Team Meeting May 2-4, 2017, Scripps Bringing Consistency into High Wind Measurements with Spaceborne Microwave Radiometers and Scatterometers Thomas Meissner, Lucrezia
More informationURSI-F Microwave Signatures Meeting 2010, Florence, Italy, October 4 8, Thomas Meissner Lucrezia Ricciardulli Frank Wentz
URSI-F Microwave Signatures Meeting 2010, Florence, Italy, October 4 8, 2010 Wind Measurements from Active and Passive Microwave Sensors High Winds and Winds in Rain Thomas Meissner Lucrezia Ricciardulli
More informationCEOS and Climate monitoring
CEOS and Climate monitoring Committee on Earth Observation Satellites www.ceos.org Climate challenges and the need for observations Observations play a crucial role in the detection of climate change and
More informationAnalysis of Turbulent Flux Quality
Analysis of Turbulent Flux Quality A. Bentamy IFREMER. France S. Grodsky Univ. of Maryland. USA R. Pinker Univ. of Maryland. USA K. Katsaros NOAA. USA. A. Mestas-Nuñez Univ Corpus Christi. USA. W. Bruch
More informationASCAT - Metop A developments, Metop B preparations & EPS-SG
ASCAT - Metop A developments, Metop B preparations & EPS-SG Hans Bonekamp, Craig Anderson, Julia Figa & Julian Wilson Slide: 1 ASCAT Metop A - overview Instrument operating nominally (minor incident in
More informationUpdate on SCOPE-Nowcasting Pilot Project Real Time Ocean Products Suman Goyal Scientist-E
Update on SCOPE-Nowcasting Pilot Project Real Time Ocean Products Suman Goyal Scientist-E 19-22 Nov 2013 SCOPE-Nowcasting-1 Agenda Item 5 Pilot Projects Overview Users /Clients User requirements Product
More informationASCAT NRT Data Processing and Distribution at NOAA/NESDIS
ASCAT NRT Data Processing and Distribution at NOAA/NESDIS Paul S. Chang, Zorana Jelenak, Seubson Soisuvarn, Qi Zhu Gene Legg and Jeff Augenbaum National Oceanic and Atmospheric Administration (NOAA) National
More informationImprovements in ambiguity removal of scatterometer winds
Improvements in ambiguity removal of scatterometer winds Jur Vogelzang (KNMI) Ad Stoffelen (KNMI) Wenming Lin (CSIC) Marcos Portabella (CSIC) EUMETSAT NWP SAF Introduction Inversion of the Geophysical
More informationASCAT B OCEAN CALIBRATION AND WIND PRODUCT RESULTS
ASCAT B OCEAN CALIBRATION AND WIND PRODUCT RESULTS Jeroen Verspeek 1, Ad Stoffelen 1, Anton Verhoef 1, Marcos Portabella 2, Jur Vogelzang 1 1 KNMI, Royal Netherlands Meteorological Institute, De Bilt,
More informationStability in SeaWinds Quality Control
Ocean and Sea Ice SAF Technical Note Stability in SeaWinds Quality Control Anton Verhoef, Marcos Portabella and Ad Stoffelen Version 1.0 April 2008 DOCUMENTATION CHANGE RECORD Reference: Issue / Revision:
More informationOcean Vector Wind Constellation:
The CEOS Ocean Vector Wind Constellation: Current Status and Challenges Stan Wilson, NOAA; Hans Bonekamp, EUMETSAT; and B.S. Gohil, ISRO Co Chairs International OVW Science Team Meeting Barcelona 18 20
More informationEUMETSAT Activities Related to Climate
EUMETSAT Activities Related to Climate Jörg Schulz joerg.schulz@eumetsat.int Slide: 1 What we do USER REQUIREMENTS European National Meteorological Services Operating Agency! European Space Industry Private
More informationGAP ANALYSIS FOR SATELLITE MISSIONS SUPPORTING THE GOS
WMO OMM World Meteorological Organization Working together in weather, climate and water GAP ANALYSIS FOR SATELLITE MISSIONS SUPPORTING THE GOS CGMS-39 WMO-WP-31, Agenda item III.5 Dr B. Bizzarri, Consultant
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 informationEVALUATION OF WINDSAT SURFACE WIND DATA AND ITS IMPACT ON OCEAN SURFACE WIND ANALYSES AND NUMERICAL WEATHER PREDICTION
5.8 EVALUATION OF WINDSAT SURFACE WIND DATA AND ITS IMPACT ON OCEAN SURFACE WIND ANALYSES AND NUMERICAL WEATHER PREDICTION Robert Atlas* NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami,
More informationOSI SAF Sea Ice products
OSI SAF Sea Ice products Lars-Anders Brevik, Gorm Dybkjær, Steinar Eastwood, Øystein Godøy, Mari Anne Killie, Thomas Lavergne, Rasmus Tonboe, Signe Aaboe Norwegian Meteorological Institute Danish Meteorological
More informationRemote Sensing of Ocean Winds
Remote Sensing of Ocean Winds Stephen Frasier Dept. of Electrical and Computer Engineering Offshore Wind Energy IGERT Seminar 3/5/2015 Remote Sensing of Wind For wind energy applications: Wind Profilers
More informationOSE/OSSEs at NOAA. Eric Bayler NOAA/NESDIS/STAR
OSE/OSSEs at NOAA Eric Bayler NOAA/NESDIS/STAR OSE/OSSEs at NOAA NOAA Leadership view: Relatively inexpensive way to: Assess the impact of potential new observations Refine and redirect current observing
More informationScatterometer Wind Assimilation at the Met Office
Scatterometer Wind Assimilation at the Met Office James Cotton International Ocean Vector Winds Science Team (IOVWST) meeting, Brest, June 2014 Outline Assimilation status Global updates: Metop-B and spatial
More informationRain Effects on Scatterometer Systems A summary of what is known to date
Rain Effects on Scatterometer Systems A summary of what is known to date Kyle Hilburn, Deborah K Smith, *Frank J. Wentz Remote Sensing Systems NASA Ocean Vector Wind Science Team Meeting May 18-20, 2009
More informationNRT Core Services. KNMI scatterometer team
NRT Core Services Ad.Stoffelen@knmi.nl KNMI scatterometer team scat@knmi.nl Vongfong, 8 October 2014 Outline Scatterometer wind services Nowcasting Global NWP Regional NWP Satellite Wind at Sea Services
More informationFriday, September 28, 2007: :30 Tim Liu & Hans Bonekamp Welcome, Organization of Joint meeting
Friday, September 28, 2007: 8:30 Tim Liu & Hans Bonekamp Welcome, Organization of Joint meeting RESEARCH APPLICATION: Storms and Tropics 8:45-9:00 Kathryn A. Kelly, H. Ryan Jones, Jerome Patoux, James
More informationEUMETSAT STATUS AND PLANS
1 EUM/TSS/VWG/15/826793 07/10/2015 EUMETSAT STATUS AND PLANS François Montagner, Marine Applications Manager, EUMETSAT WMO Polar Space Task Group 5 5-7 October 2015, DLR, Oberpfaffenhofen PSTG Strategic
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 systems for SST products. Prof. Chris Merchant University of Reading UK
Operational systems for SST products Prof. Chris Merchant University of Reading UK Classic Images from ATSR The Gulf Stream ATSR-2 Image, ƛ = 3.7µm Review the steps to get SST using a physical retrieval
More informationJulia Figa-Saldaña & Klaus Scipal
Julia Figa-Saldaña & Klaus Scipal julia.figa@eumetsat.int klaus.scipal@esa.int C. Anderson, F. Fois, C. Lin, M. Loiselet, F. Ticconi, J.J.W. Wilson Meeting, Outline Overview and objectives of European
More informationRadiometric Cross-Calibration of Spaceborne Scatterometers - First Results
Radiometric Cross-Calibration of Spaceborne Scatterometers - First Results Anis Elyouncha, Xavier Neyt and Marc Acheroy Royal Military Academy, Brussels, Belgium ABSTRACT The main application of a scatterometer
More informationGEOSC/METEO 597K Kevin Bowley Kaitlin Walsh
GEOSC/METEO 597K Kevin Bowley Kaitlin Walsh Timeline of Satellites ERS-1 (1991-2000) NSCAT (1996) Envisat (2002) RADARSAT (2007) Seasat (1978) TOPEX/Poseidon (1992-2005) QuikSCAT (1999) Jason-2 (2008)
More informationStatus overview of the European scatterometer activities
Status overview of the European scatterometer activities S Linow (EUMETSAT), K Scipal (ESA) IOVWST 2018 24 26 April 2018, Barcelona 1 Current and future European operational scatterometer missions YEAR...
More informationSatellite Oceanography and Applications 2: Altimetry, scatterometry, SAR, GRACE. RMU Summer Program (AUGUST 24-28, 2015)
Satellite Oceanography and Applications 2: Altimetry, scatterometry, SAR, GRACE RMU Summer Program (AUGUST 24-28, 2015) Altimetry 2 Basic principles of satellite altimetry Altimetry: the measurements of
More informationBlended Sea Surface Winds Product
1. Intent of this Document and POC Blended Sea Surface Winds Product 1a. Intent This document is intended for users who wish to compare satellite derived observations with climate model output in the context
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 informationRelated Improvements. A DFS Application. Mark A. Bourassa
Related Improvements in Surface Turbulent Heat Fluxes A DFS Application Center for Ocean-Atmospheric Prediction Studies & Department of Earth, Ocean and Atmospheric Sciences, The Florida State University,
More informationHY-2A Satellite User s Guide
National Satellite Ocean Application Service 2013-5-16 Document Change Record Revision Date Changed Pages/Paragraphs Edit Description i Contents 1 Introduction to HY-2 Satellite... 1 2 HY-2 satellite data
More informationProgress in Calculating Tropical Cyclone Surface Wind Inflow from OVW Observations
Progress in Calculating Tropical Cyclone Surface Wind Inflow from OVW Observations Ralph Foster, APL, University of Washington, Seattle, WA Jun Zhang, HRD, NOAA, Miami, FL Peter Black, Salinas, CA IOVWST
More informationASCAT mission overview and current developments
ASCAT mission overview and current developments Julia Figa-Saldaña Craig Anderson, Hans Bonekamp, Julian Wilson, Colin Duff, Helmut Bauch, Jörg Schulz, Roger Huckle and James Miller Outline Metop-B launch,
More informationQuikSCAT High Precision Wind Speed Cross Sections
QuikSCAT High Precision Wind Speed Cross Sections 2010-2017 Bryan Stiles, Alexander Fore, and Alexander Wineteer Jet Propulsion Laboratory, California Institute of Technology Ocean Vector Wind Science
More informationEUMETSAT Data and Services for Climate Services and Research. Jörg Schulz
EUMETSAT Data and Services for Climate Services and Research Jörg Schulz 1 WMO Workshop on Operational Space-based Weather and Climate Extremes Monitoring, WMO HQ, Geneva, Switzerland, 15-17 February 2017
More informationBetter Ku-band scatterometer wind ambiguity removal with ASCAT-based empirical background error correlations in 2DVAR
Better Ku-band scatterometer wind ambiguity removal with ASCAT-based empirical background error correlations in 2DVAR Jur Vogelzang Ad Stoffelen KNMI 2D Variational Ambiguity Removal 2DVAR is the default
More informationProject GlobWave. GlobWave All rights reserved
Project GlobWave GlobWave 2009. All rights reserved Agenda 1 2 3 4 5 6 7 8 9 10 11 12 Partners Objective Strategy Satellite Products Satellite vs In Situ Matchup Database Satellite vs Satellite Matchup
More informationMeeting the Needs for Satellite OVW
Meeting the Needs for Satellite OVW NEED Multiple scatterometers to extend the coverage of QuikSCAT and provide continuity UNDERWAY EUMETSAT ASCAT on METOP series 1 st is in orbit ISRO Oceansat-2 Timely
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 informationUncertainty in Ocean Surface Winds over the Nordic Seas
Uncertainty in Ocean Surface Winds over the Nordic Seas Dmitry Dukhovskoy and Mark Bourassa Arctic Ocean Center for Ocean-Atmospheric Prediction Studies Florida State University Funded by the NASA OVWST,
More informationJulia Figa-Saldaña. OVWST Meeting, May 2010, Barcelona Slide: 1
ASCAT services status t Julia Figa-Saldaña Slide: 1 Acknowledgments ASCAT teams at: EUMETSAT: Craig Anderson, Hans Bonekamp, Leonid Butenko, Colin Duff, Jens Lerch, Christelle Ponsard, Arthur de Smet,
More informationAssimilation of Scatterometer Winds at ECMWF
Assimilation of Scatterometer Winds at Giovanna De Chiara, Peter Janssen Outline ASCAT winds monitoring and diagnostics OCEANSAT-2 winds Results from the NWP winds impact study Slide 1 Scatterometer data
More informationReport from CNSA 16th GSICS Executive Panel, Boulder, May 2015
Report from CNSA 16th GSICS Executive Panel, Boulder, 15-16 May 2015 Peng Zhang, Jun Gao Satellite Introdution GF-1 satellite mission GF-1 satellite is the first CHEOS constellation satellite launched
More informationSca$erometer and Salinity missions: Status and Needs
Sca$erometer and Salinity missions: Status and Needs Subra Bulusu Satellite Oceanography Laboratory School of the Earth, Ocean and Environment University of South Carolina, Columbia, USA US CLIVAR POS
More informationInter comparison of wave height observations from buoy and altimeter with numerical prediction
Indian Journal of Geo-Marine Sciences Vol. 43(7), July 2014, pp. 1347-1351 Inter comparison of wave height observations from buoy and altimeter with numerical prediction S. A. Sannasiraj 1*, M. Kalyani
More informationCOMPARISON OF SATELLITE DERIVED OCEAN SURFACE WIND SPEEDS AND THEIR ERROR DUE TO PRECIPITATION
COMPARISON OF SATELLITE DERIVED OCEAN SURFACE WIND SPEEDS AND THEIR ERROR DUE TO PRECIPITATION A.-M. Blechschmidt and H. Graßl Meteorological Institute, University of Hamburg, Hamburg, Germany ABSTRACT
More informationJCOMM Status & Ocean-Observing Satellite Elements"
JCOMM Status & Ocean-Observing Satellite Elements" Jean-Louis FELLOUS (ESA/CNES)! Co-president, JCOMM! CEOS Executive Secretary!! Eric Lindstrom (NASA)! The WMO-IOC Joint Technical Commission for Oceanography
More informationASCAT-B Level 2 Soil Moisture Validation Report
EUMETSAT EUMETSAT Allee 1, D-64295 Darmstadt, Doc.No. : EUM/OPS/DOC/12/3849 Germany Tel: +49 6151 807-7 Issue : v2 Fax: +49 6151 807 555 Date : 20 December 2012 http://www.eumetsat.int Page 1 of 25 This
More informationProject GlobWave. User Meeting 5 th -6 th October, Geoff Busswell, GlobWave Project Manager
Project GlobWave User Meeting 5 th -6 th October, 2011 Geoff Busswell, GlobWave Project Manager www.globwave.info Partners ESA: Funding the project through its Data User Element Programme CNES: Providing
More informationIntroduction to the CEOS Virtual Constellation for Sea Surface Temperature (SST-VC) and Group for High Resolution Sea Surface Temperature (GHRSST)
Introduction to the CEOS Virtual Constellation for Sea Surface Temperature (SST-VC) and Group for High Resolution Sea Surface Temperature (GHRSST) To provide operational users and the science community
More informationWind, Current, Wave, and Stress Coupling in the Boundary Layer and A Plan for Observing This Coupling from Space
Wind, Current, Wave, and Stress Coupling in the Boundary Layer and A Plan for Observing This Coupling from Space Mark A. Bourassa and Qi Shi COAPS, EOAS & GFDI, Florida State University With input from
More informationImpact of METOP ASCAT Ocean Surface Winds in the NCEP GDAS/GFS and NRL NAVDAS
Impact of METOP ASCAT Ocean Surface Winds in the NCEP GDAS/GFS and NRL NAVDAS COAMPS @ Li Bi 1,2 James Jung 3,4 Michael Morgan 5 John F. Le Marshall 6 Nancy Baker 2 Dave Santek 3 1 University Corporation
More informationSatellite Application Facility on Ocean and Sea Ice (OSI SAF) Cécile Hernandez Plouzané, 20 June 2017
Satellite Application Facility on Ocean and Sea Ice (OSI SAF) Cécile Hernandez Plouzané, 20 June 2017 About OSI SAF EUMETSAT SAFs : dedicated centres of excellence for processing satellite data OSI SAF
More informationSSH retrieval in the ice covered Arctic Ocean: from waveform classification to regional sea level maps
ESA Climate Change Initiative SSH retrieval in the ice covered Arctic Ocean: from waveform classification to regional sea level maps CLS LEGOS PML Arctic SIE status 2 nd lowest on record with 4.14 10 6
More informationOcean Vector Winds in Storms from the SMAP L-Band Radiometer
International Workshop on Measuring High Wind Speeds over the Ocean 15 17 November 2016 UK Met Office, Exeter Ocean Vector Winds in Storms from the SMAP L-Band Radiometer Thomas Meissner, Lucrezia Ricciardulli,
More informationEUMETSAT SAF NETWORK. Lothar Schüller, EUMETSAT SAF Network Manager
1 EUMETSAT SAF NETWORK Lothar Schüller, EUMETSAT SAF Network Manager EUMETSAT ground segment overview METEOSAT JASON-2 INITIAL JOINT POLAR SYSTEM METOP NOAA SATELLITES CONTROL AND DATA ACQUISITION FLIGHT
More informationPoint-wise Wind Retrieval and Ambiguity Removal Improvements for the
Point-wise Wind Retrieval and Ambiguity Removal Improvements for the May 9th 2011 IOVWST Meeting QuikSCAT Climatological Data Alexander Fore, SetBryan Stiles, R. Scott Dunbar, Brent Williams, Alexandra
More informationForthcoming changes in the Global Satellite Observing Systems
Forthcoming changes in the Global Satellite Observing Systems Mitchell D. Goldberg NOAA/NESDIS/JPSS Mitch.Goldberg@noaa.gov ABSTRACT This paper provides an overview of the key observations used for numerical
More informationLand Data Assimilation for operational weather forecasting
Land Data Assimilation for operational weather forecasting Brett Candy Richard Renshaw, JuHyoung Lee & Imtiaz Dharssi * *Centre Australian Weather and Climate Research Contents An overview of the Current
More informationECMWF. ECMWF Land Surface Analysis: Current status and developments. P. de Rosnay M. Drusch, K. Scipal, D. Vasiljevic G. Balsamo, J.
Land Surface Analysis: Current status and developments P. de Rosnay M. Drusch, K. Scipal, D. Vasiljevic G. Balsamo, J. Muñoz Sabater 2 nd Workshop on Remote Sensing and Modeling of Surface Properties,
More informationStudy for utilizing high wind speed data in the JMA s Global NWP system
Study for utilizing high wind speed data in the JMA s Global NWP system Masami Moriya Numerical Prediction Division, Japan Meteorological Agency (JMA) IOVWST Meeting, Portland, USA, 19-21 May 2015 1 Contents
More informationPolar Space Task Group Space Agency Report
Polar Agency Report EUMETSAT WMO HQ, Geneva 16-18 October, 2018 EUMETSAT News EPS OSI SAF products Sentinel-3 PSTG8 Meeting, WMO, 16-18 Oct., 2018 EUMETSAT Polar System: Metop- C Launch Preparation Metop-C
More informationRemote sensing of sea ice
Remote sensing of sea ice Ice concentration/extent Age/type Drift Melting Thickness Christian Haas Remote Sensing Methods Passive: senses shortwave (visible), thermal (infrared) or microwave radiation
More informationESA Climate Change Initiative
ESA Climate Change Initiative Olivier Arino Frascati, 23 June 2009 Climate Change Initiative Rationale Two climate action paths GCOS-82 in 2003 GCOS-92 in 2004 GCOS-107 in 2006 CEOS response 2006 GEOSS
More informationKU-BAND RADAR ALTIMETER SURFACE WIND SPEED ALGORITHM
KU-BAND RADAR ALTIMETER SURFACE WIND SPEED ALGORITHM Saleh Abdalla European Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, UK. E-mail: saleh.abdalla@ecmwf.int ABSTRACT An
More informationThe ESA Earth observation programmes overview and outlook
The ESA Earth observation programmes overview and outlook Dr. Volker Liebig Director, ESA EO Programmes ILA 2008, Berlin ENVISAT mission: 6 years! Bam earthquake Tectonic uplift (Andaman) Arctic 2007 First
More informationESA Climate Change Initiative (CCI)
ESA Climate Change Initiative (CCI) New ESA Programme with the aim to contribute to worldwide efforts to generate Essential Climate Variables (ECVs) C. Zehner Barcelona, 07/09/2009 Two climate action paths
More informationStatus and Plans of using the scatterometer winds in JMA's Data Assimilation and Forecast System
Status and Plans of using the scatterometer winds in 's Data Assimilation and Forecast System Masaya Takahashi¹ and Yoshihiko Tahara² 1- Numerical Prediction Division, Japan Meteorological Agency () 2-
More informationOCEAN SURFACE DRIFT BY WAVELET TRACKING USING ERS-2 AND ENVISAT SAR IMAGES
OCEAN SURFACE DRIFT BY WAVELET TRACKING USING ERS-2 AND ENVISAT SAR IMAGES Antony K. Liu, Yunhe Zhao Ocean Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA Ming-Kuang Hsu Northern
More informationASCAT-6.25 validation on coastal jets - 2
Document NWPSAF-KN-VS-016 Version 1.0 31-08-2016 ASCAT-6.25 validation on Isabel Monteiro 1, Jur Vogelzang 2 and Ad Stoffelen 2 IPMA, Lisbon, Portugal KNMI, De Bilt, The Netherlands ASCAT-6.25 validation
More informationEstimating Gale to Hurricane Force Winds Using the Satellite Altimeter
VOLUME 28 J O U R N A L O F A T M O S P H E R I C A N D O C E A N I C T E C H N O L O G Y APRIL 2011 Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter YVES QUILFEN Space Oceanography
More informationNext generation of EUMETSAT microwave imagers and sounders: new opportunities for cloud and precipitation retrieval
Next generation of EUMETSAT microwave imagers and sounders: new opportunities for cloud and precipitation retrieval Christophe Accadia, Sabatino Di Michele, Vinia Mattioli, Jörg Ackermann, Sreerekha Thonipparambil,
More informationA New Satellite Wind Climatology from QuikSCAT, WindSat, AMSR-E and SSM/I
A New Satellite Wind Climatology from QuikSCAT, WindSat, AMSR-E and SSM/I Frank J. Wentz (presenting), Lucrezia Ricciardulli, Thomas Meissner, and Deborah Smith Remote Sensing Systems, Santa Rosa, CA Supported
More informationObserving Snow: Conventional Measurements, Satellite and Airborne Remote Sensing. Chris Derksen Climate Research Division, ECCC
Observing Snow: Conventional Measurements, Satellite and Airborne Remote Sensing Chris Derksen Climate Research Division, ECCC Outline Three Snow Lectures: 1. Why you should care about snow 2. How we measure
More informationZorana Jelenak Paul S. Chang Khalil Ahmed (OPC) Seubson Soisuvarn Qi Zhu NOAA/NESDIS/STAR-UCAR
Near Real Time ASCAT Wind Vectors at NOAA and High Wind Issue Zorana Jelenak Paul S. Chang Khalil Ahmed (OPC) Seubson Soisuvarn Qi Zhu NOAA/NESDIS/STAR-UCAR ASCAT Wind Processing Implemented at NOAA Feb
More informationArctic Regional Ocean Observing System Arctic ROOS Report from 2012
Arctic Regional Ocean Observing System Arctic ROOS Report from 2012 By Stein Sandven Nansen Environmental and Remote Sensing Center (www.arctic-roos.org) Focus in 2012 1. Arctic Marine Forecasting Center
More informationSTARS-DAT v2. User Manual
STARS-DAT v2 User Manual Version 2.1 March 2011 Steinar Eastwood and Magnus Drivdal Norwegian Meteorological Institute Documentation Change Record Document version Date Description v 0.1 25-05-2010 First
More informationCorrections to Scatterometer Wind Vectors For Precipitation Effects: Using High Resolution NEXRAD and AMSR With Intercomparisons
Corrections to Scatterometer Wind Vectors For Precipitation Effects: Using High Resolution NEXRAD and AMSR With Intercomparisons David E. Weissman Hofstra University Hempstead, New York 11549 Svetla Hristova-Veleva
More informationOperational Climate Monitoring
Operational Climate Monitoring Concept of Climate data records & operational climate monitoring Introduction CM SAF Examples of downstream services in Europe (e.g. WMO RCC RA VI) in US (e.g. drought monitoring)
More informationDetection, tracking and study of polar lows from satellites Leonid P. Bobylev
Detection, tracking and study of polar lows from satellites Leonid P. Bobylev Nansen Centre, St. Petersburg, Russia Nansen Centre, Bergen, Norway Polar lows and their general characteristics International
More informationThe impact of combined assimilation of altimeters data and wave spectra from S-1A and 1B in the operational model MFWAM
The impact of combined assimilation of altimeters data and wave spectra from S-1A and 1B in the operational model MFWAM Lotfi Aouf and Alice Dalphinet Météo-France, Département Marine et Oceanographie
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 informationSoil moisture Product and science update
Soil moisture Product and science update Wouter Dorigo and colleagues Department of Geodesy and Geo-information, Vienna University of Technology, Vienna, Austria 2 June 2013 Soil moisture is getting mature
More informationStatus of Indian Satellite Meteorological Programme
Status of Indian Satellite Meteorological Programme Pradeep K Thapliyal Space Applications Centre (SAC) Indian Space research Organisation (ISRO) Ahmedabad (INDIA) Email: pkthapliyal@sac.isro.gov.in International
More informationQ-Winds satellite hurricane wind retrievals and H*Wind comparisons
Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W. Linwood Jones Central Florida Remote Sensing Laboratory University of Central Florida Orlando, Florida 3816-
More information