1 / 56

Global Space-based Inter-Calibration System (GSICS)

Global Space-based Inter-Calibration System (GSICS). Mitchell D. Goldberg, GSICS Exec Panel Chair NOAA/NESDIS Chief, Satellite Meteorology and Climatology Division. What is GSICS?. Global Space-based Inter-Calibration System (GSICS) WMO Space Programme

sharne
Download Presentation

Global Space-based Inter-Calibration System (GSICS)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Global Space-based Inter-Calibration System (GSICS) Mitchell D. Goldberg, GSICS Exec Panel Chair NOAA/NESDIS Chief, Satellite Meteorology and Climatology Division

  2. What is GSICS? • Global Space-based Inter-Calibration System (GSICS) • WMO Space Programme • GSICS Implementation Plan and Program formally endorsed at CGMS 34 (11/06) • Goal - Enhance calibration and validation of satellite observations and to intercalibrate critical components global observing system

  3. Satellite agencies Plan / implement space-based GOS Users Enhance user capabilityto benefit from sat data/products Ensure sat data quality Support product generation Enhance data access Main WMO Space Programme activitiesinvolving WMO Members, their Space Agencies, and CGMS User requirementsdatabase Collect requirements for space-based observations and related services Global planning optimization WebsiteDocuments Training eventsVirtual Laboratory IntercalibrationGSICS IGDDS-RARS projectsAccess to R&D data RSSC-CMRGB workshop

  4. ConsistentCalibrateddata sets Essential Climate products Satellite data Satellites & sensors Users GSICS GOS RSSC-CM RSSC to maximize data usage • Regional/Specialized Satellite Centres • Mobilize effort and expertise in some centres (or distributed virtual centres) to provide quality-controlled products following agreed specifications • Initial scope is Climate Monitoring (RSSC-CM) responding to GCOS requirements • A number of potential participating agencies • Implementation Plan being developed by EUMETSAT for adoption in November 07

  5. Motivation • Demanding applications require accurate, well calibrated & characterized measurements • Climate Data Records • Radiance Assimilation in Numerical Weather Prediction • Data Fusion • Growing Global Observing System (GOS) • GEOSS

  6. Space-Based component of the Global Observing System (GOS)

  7. Science Requirements for GEOSS to meet the 9 societal benefits: • Satellite Intercalibration & Sensor characterization • Data Fusion & Integrated Products, including CDRs • Data Assimilation & Modeling

  8. GSICS Objectives • To improve the use of space-based global observations for weather, climate and environmental applications through operational inter-calibration of satellite sensors. • Improve global satellite data sets by ensuring observations are well calibrated through operational analysis of instrument performance, satellite intercalibration, and validation over reference sites • Provide ability to re-calibrate archived satellite data with consensus GSICS approach, leading to stable fundamental climate data records (FCDR) • Ensure pre-launch testing is traceable to SI standards

  9. Building Blocks for Satellite Intercalibration • Collocation • Determination and distribution of locations for simultaneous observations by different sensors (space-based and in-situ) • Collocation with benchmark measurements • Data collection • Archive, metadata - easily accessible • Coordinated operational data analyses • Processing centers for assembling collocated data • Expert teams • Assessments • communication including recommendations • Vicarious coefficient updates for “drifting” sensors

  10. Other key building blocks for accurate measurements and intercalibration • Extensive pre-launch characterization of all instruments traceable to SI standards • Benchmark instruments in space with appropriate accuracy, spectral coverage and resolution to act as a standard for inter-calibration • Independent observations (calibration/validation sites – ground based, aircraft)

  11. GSICSExecutive Panel GRWG GDWG CSS GPRC GCC GSICS organization WWW GOS CGMS WMO Space Programme Space-based component of GOS GEO satellites GSICS LEO satellites R&D satellites Calibration Support Segments (reference sites, benchmark measurements, aircraft, model simulations) CSS GPRC CSS GPRC Regional Processing Research Centers at Operational Space Agencies CoordinationCenter

  12. GSICS Components • GSICS Executive Panel – reps from each satellite agency • Priorities, objectives and agreements • GSICS Coordination Center (GCC) – NESDIS/STAR • Transmit intercalibration opportunities to GPRCs • Collect data from the GPRCs and provide access • Quarterly reports on performance • GSICS Processing and Research Centers (GPRCs) • Satellite agencies • Activities: • Pre-launch calibration • Intersatellite calibration • Supporting research

  13. Calibration Support Segments (CSS) • The GSICS Calibration Support Segments (CSS) will be carried out by participating satellite agencies, national standards laboratories, major NWP centers, and national research laboratories. CSS activities are: • Prelaunch Characterisation, reference instruments, SI traceability • Earth-based reference sites, such asstable desert areas, long-term specially equipped ground sites, and special field campaigns, will be used to monitor satellite instrument performance. • Extra-terrestrial calibration sources, such as the sun, the moon, and the stars, will provide stable calibration targets for on-orbit monitoring of instrument calibration • Model simulations will allow comparisons of radiances computed from NWP analyses of atmospheric conditions with those observed by satellite instruments • Benchmark measurements of the highest accuracy by special satellite and ground-based instruments will help nail down satellite instrument calibrations

  14. 2007 Activities • Annual Operating Plan • Two GRWG meetings • GDWG to discuss data management issue • Commission GSICS Website and routine LEO to LEO intersatellite calibration, with performance reports at NESDIS • Intercomparisons of AIRS and IASI

  15. 2008 Activities • Commission intercalibration of MTSAT, MSG, GOES and FY2 Infrared Imagers with IASI and AIRS. • Routine intercomparisons between MSG (SEVIRI) and AIRS/IASI at EUMETSAT • Routine intercomparisons between GOES and AIRS/IASI at NESDIS • Routine intercomparisons between MTSAT and AIRS/IASI at JMA • Routine intercomparisons between FY2 and AIRS/IASI at CMA

  16. GRWG-1 • GRWG 1 focus on infrared measurements and address in priority: • Review methodologies currently applied for Geo to Leo collocations • Define an agreed GEO to LEO collocation methodology for IR sensors • collocation criteria (viewing angle, time window) • sampling strategy (target size and numbers, geographical coverage, target selection bright/dark clear/cloudy, temporal frequency ) • matching technique to account for different fields of views and spectral response • statistical processing (bias, or regression, spectral shift, quality index) • Methodology for spectral convolution (comparison of IR band radiances with hyperspectral measurements) • Expected output is: • Agreed initial GEO-LEO methodology, • Identification of software tools to be exchanged • Definition of a methodology to compare GEO IR radiances with AIRS and IASI radiances

  17. GRWG-2 • June 2007, EUMETSAT • Main focus on calibration of reflective channels, noting that the co-location criteria won’t be the same as for IR because of directional effects, aerosols, atmospheric backscattering, and hot spots. • Expected output : • Methodology for GEO-MODIS comparison for visible channels • Radiative transfer requirements for simulations from reference sites

  18. GDWG-1 • June 2007 EUMETSAT • Expected output: • Definition of best practices for data management • Definition of formats and operational procedures for data exchange

  19. Spectral Coverage and Example Observations of AIRS, IASI, and CrIS AIRS, 2378 IASI, 8461 CrIS, 1305

  20. SRF Shift for HIRS Channel 6 With SRF shift 0.2 cm-1 Without SRF shift Since the HIRS sounding channels are located at the slope region of the atmospheric spectra, a small shift of the SRF can cause biases in observed radiances. Details can be referred to Wang et al. (manuscript for JTECH, 2006)

  21. Follow-Up Review of GEO-LEO Intercalibration 12-14 June 2007 Yoshihiko Tahara Koji Kato Ryuichiro Nakayama Toru Hashimoto Meteorological Satellite Center Japan Meteorological Agency

  22. Intercalibration Algorithm Ver 0.0(Delivered on May 5) LEO FOV at nadir GEO pixel • Key match-up conditions between GEO and LEO • Difference of observing times < 1800 (sec) • Difference of 1/cos( sat. zenith angles ) < 0.05 • Environment uniformity check • To choose only spatially uniform area to alleviate navigation error, MTF, observing time difference, optical path difference, etc. • Environment domain = 11x11 IR pixel box (MTSAT-1R vs. AIRS) • env_stdv_tb < (TBD) • Representation check of LEO-size GEO pixels in the environment • z-test • LEO FOV = 5x5 IR pixel box (MTSAT-1R vs. AIRS) • abs( fov_mean_tb – env_mean_tb ) < Gaussian x env_stdv_tb / 5 LEO-size box 5 x 5 pixels Environment box11 x 11 pixels

  23. Radiance Comparison and TB Comparison Radiance Residual TB Residual 3.8-micron 3.8-micron Radiance test SD ~ 2 K @ 300 K Z < 0.95 % N = 2720 d Rad / d TB @ 300 K

  24. TB Comparison and Radiance Comparison d Rad / d TB @ 300 K 10.8-micron Radiance of MTSAT-1R minus AIRS Radiance of MTSAT-1R Radiance of AIRS Constrained Virtual Channel [W/cm^2.sr.um] TB comp. Radiance comp. d Rad / d TB @ 300 K 3.8-micron Radiance of MTSAT-1R minus AIRS Radiance of MTSAT-1R Radiance comp. TB comp. Radiance of AIRS Constrained Virtual Channel [W/cm^2.sr.um]

  25. Satellite Inter-Calibration and Meteosat First Generation Recalibration Activities Leo van de Berg, Marianne Koenig, Bertrand Theodore, Tom Heinemann, Ahmet Yildirim EUMETSAT

  26. Inter-Calibration (Present WEB Info)Met-7 IR versus NOAA-16 Ch 8

  27. Intercalibration IASI MSG Marianne König EUMETSAT

  28. IASI Spectrum – MSG Filter

  29. IASI Spectrum – MSG Filter – Zoom #1 IR13.4 IR10.8 IR8.7 IR12.0 IR9.7

  30. IASI Spectrum – MSG Filter – Zoom #2 WV7.3 WV6.2 IR3.9

  31. "Homogeneous" Targets (WV6.2) Meteosat-8 and Meteosat-9

  32. Results for 27 April 2007 *Uncertainty 0.1 – 0.2 K

  33. IR Calibration Monitoring System for COMS in Korea Sung-Rae Chung, Hye-Sook Park*, B. J. Sohn*, Mi-Lim Ou Korea Meteorological Administration *Seoul National University GLOBAL SPACE-BASED INTER-CALIBRATION SYSTEM (GSICS) Joint Meeting of GDWG-I and GRWG-II, 12-14 June 2007, EUMETSAT 36

  34. Daily data acquisition COMS counts Geometric data MODIS radiances Geometric data On-board Blackbody data Space look data Scene check Clear Clear Cloudy Clear VISCD IRC VISCO VISCC IR Calibration Equation VIS Vicarious Calibration IR Calibration Monitoring Cloud Target Desert Target Ocean Target Simulated radiances vs COMS counts COMS counts vs MODIS brightness temp. Twice a month IR Calibration coefficient VIS Calibration coefficient Monitoring parameters (Mean Bias,RMSE) COMS Calibration Algorithm GLOBAL SPACE-BASED INTER-CALIBRATION SYSTEM (GSICS) Joint Meeting of GDWG-I and GRWG-II, 12-14 June 2007, EUMETSAT

  35. Weekly Calibration Monitoring From Puschell et al. (2006) GLOBAL SPACE-BASED INTER-CALIBRATION SYSTEM (GSICS) Joint Meeting of GDWG-I and GRWG-II, 12-14 June 2007, EUMETSAT

  36. New consideration for Earth-based reference sites in China Peng Zhang, et al. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (LRCVES/CMA) National Satellite Meteorological Center (NSMC/CMA) Email: zhangp@nsmc.cma.gov.cn Tel: 86-10-68409671

  37. Four Earth-based reference sites in China

  38. 准格尔盆地 • 塔里木盆地 • 阿尔金山+敦煌 • 巴丹吉林沙漠 • 腾格里沙漠 Determining the smallest STD area from satellite image

  39. CNES methodology forin-orbit calibration ofvisible and NIR sensors Patrice HENRY CNES – Toulouse DCT/SI/MO GSICS GRWG 2nd Meeting – EUMETSAT Darmstadt – June 12-14 2007

  40. CNES background in calibration activity • CNES has developed different calibration over natural targets methods for visible and NIR optical sensors • Rayleigh scattering over ocean • Sun glint over ocean • ‘White’ clouds • Stable deserts • Antarctica (Dôme C site) • Autonomous calibration station (for high resolution) • Moon • Most of them are used on an operational basis • Monitoring the CNES sensors calibration (SPOT, VGT, POLDER…) • Inter calibration with other sensors (MERIS, SeaWiFS, AVHRR…) GSICS - GRWG 2nd Meeting – EUMETSAT, Darmstadt (Germany) – June 12-14, 2007

  41. 2 years of PARASOL calibration over clouds • Calibration measurements performed every month (over 1 week of data) GSICS - GRWG 2nd Meeting – EUMETSAT, Darmstadt (Germany) – June 12-14, 2007

  42. Intercalibrating Satellite Imagers, Consistency & Stability David R. Doelling SSAI Patrick Minnis, Louis Nguyen NASA Langley Research Center GSICS, GDWG-I and GRWG-II meeting Darmstadt, Germany, 12-14 June 2007

  43. Calibration Objectives • • Timely and accurate calibration equations for meteorological satellites to use any platform to provide consistent retrievals of cloud, aerosol, surface, and radiative properties • CERES project requires consistent 5-satellite geostationary cloud properties that uses a subset of the CERES-MODIS cloud retrieval algorithm in order to complete the diurnal signal between Terra (10:30AM) or Aqua (1:30) observations • • Accurate for long-term monitoring and climate studies • • Timely for real-time applications

  44. Current LEO-to-GEO Domains & Pairs LEO-LEO normalizations use polar data

More Related