GSICS REPORT Summary of highlights and request for guidance from GSICS Executive Panel CGMS-43 WMO-WP-16 Peng ZHANG (GSICS-EP Chair) Kenneth HOLMLUND (GSICS-EP Vice-Chair) Jérôme LAFEUILLE (Secretariat) CGMS-43 GSICS Report 1
Outline 1. GSICS overview 2. Highlights of recent activities 3. Organization status 4. Challenges and recommendations 5. Summary and conclusions CGMS-43 GSICS Report 3
Why GSICS? • Space-based observations required for weather and climate applications rely on multiple satellite missions from different agencies around the world • To be reliable and interoperable, these different sources must be precisely calibrated with similar methods and common references. Poor or inhomogeneous calibration would result in degraded performance • GSICS members are collaborating to develop and apply “best practices” for state-of-the-art and homogeneous calibration • GSICS provides references, tools and guidelines, for prelaunch characterization, instrument performance monitoring, anomaly resolution, comparison of sensors, and correction if necessary. CGMS-43 GSICS Report 4
Through GSICS satellite operators improve calibration and detect /correct anomalies • Examples: – Correction of GOES IR bias through intercalibration with Metop/IASI and SNPP/CrIS – Adjustment of SRF of COMS/MI – Support to commissioning test of Himawai-8, INSAT-3D, FY- 2G and FY-3C CGMS-43 GSICS Report 5
NOAA Highlight GEO-LEO Inter-calibration using CrIS/IASI as reference Feb 8, 2015 April 18, 2015 After “fixed” bugs Courtesy. 6 FangFang Yu
CMA Highlight: DCC monitoring for FY-2D/2E/2F FY-2D~2F Relative Spectral Response Function 110 FY-2D 100 FY-2E 90 FY-2F Relative Spectral Response 80 70 60 50 40 30 20 10 0 400 500 600 700 800 900 1000 1100 Wavelength(nm) 1.There is evident inconsistency between FY-2D/2E/2F and large bias with respect to MODIS. 2.There is long term degradation of FY-2 visible band. FY2D-Operatioal Ref FY2D-Corrected Ref MODIS Ref 业 务 定 标 - FY 2D 与 M O D I S 比 较 校 正 后 - FY2D与 MODIS比 100 100 100 100 100 50 50 50 Y= 0.57465 X +1.0783 Y= 0.86991 X +0.9587 R= 0.95768 R= 0.95732 40 40 40 80 80 80 80 80 30 30 30 Before and After FY2D-OPT-REF FY2D-COR-REF 20 20 20 Before 60 60 60 60 60 after DCC Latitude Latitude Latitude 10 10 10 correction 0 0 0 40 40 40 40 40 -10 -10 -10 20 20 -20 -20 -20 20 20 20 -30 -30 -30 0 0 CGMS-43 GSICS Report 7 -40 -40 -40 0 20 40 60 80 100 0 20 40 60 80 100 0 0 0 MODIS-REF MODIS-REF 80 90 80 90 80 90 Longitude Longitude Longitude
Highlights of KMA calibration activities Cold Bias Correction in Water Vapor Channel The radiance difference between COMS/MI and IASI as a function of the COMS/MI radiance for the data obtained before (red) and after (blue) the SRF shifts TB bias between MI and IASI reduced by ~ 0.4K (-0.71K -0.32K) CGMS-43 GSICS Report 8
Highlights of JMA calibration activities Himawari-8/AHI ray-matching with S-NPP/VIIRS Bands #3 (0.64 μ m) and #6 (2.3 μ m) Facilitated Himawari-8 show 5 to 10 % discrepancy Roughly consistent with vicarious commissioning calibration using RT simulation VIIRS radiance AHI B01 ( 0.47 μ m) vs AHI B02 ( 0.51 μ m) vs AHI B03 ( 0.64 μ m) vs VIIRS M03 VIIRS M03 VIIRS I01 AHI radiance AHI radiance AHI radiance VIIRS radiance AHI B06 ( 2.3 μ m) vs AHI B04 ( 0.86 μ m) vs AHI B05 ( 1.6 μ m) vs VIIRS M11 VIIRS M07 VIIRS M10 AHI radiance AHI radiance AHI radiance Blue: regression line Red: regression after SRF difference correction between AHI and VIIRS 2 Apr. 2015 CGMS-43 GSICS Report 9
Sample Intercalibration Results: INSAT-3D Imager Imager-MIR vs IASI-A Imager-WV vs IASI-A (Night, Dec 2014) (Night, Dec 2014) Facilitated INSAT-3D commissioning Imager-TIR1 vs IASI-A Imager-TIR2 vs IASI-A (Night, Dec 2014) (Night, Dec 2014) 10 CGMS-43 GSICS Report
Who benefits from GSICS ? • Satellite operators benefit from participating in GSICS • Sharing development effort and sharing resources (calibration references, datasets, software tools) • Capacity building in sharing best practices (for instrument monitoring, traceability, sensor comparison and correction) • Satellite data users benefit from GSICS • Calibration is improved • Corrections available to align to a common reference • Assessments, reports, for better understanding • Algorithms enabling to reprocess data records Improved and consistent calibration across the different agencies builds confidence on reliability of each other’s data Interoperability increases the benefit of data exchange CGMS-43 GSICS Report 12
Outline 1. GSICS overview 2. Highlights of recent activities 3. Organization status 4. Challenges and recommendations 5. Summary and conclusions CGMS-43 GSICS Report 13
Development highlights • Joint meeting of Research/Data Working Groups – 16-20 March 2015, in New Delhi • Data management and tools – New collaboration server – Product development template • IR calibration with multiple reference spectrometers – IASI-A current primary reference for GEO, LEO intercalibration – Towards a combined reference including IASI-A, IASI-B and CrIS ensuring stability and seamless transition between consecutive instruments • GEO-LEO solar channel calibration (VIS/NIR) – Using Deep Convection Cloud (DCC) as pseudo-invariant targets – Using Lunar calibration combined with ground-based Moon observation – Development of a combined approach CGMS-43 GSICS Report 14
GEO-LEO VIS/NIR • Currently two main activities on- MTSAT-2 DCC detection 2012-07-01T04 going: – Inter-calibration of GEO imagers with MODIS using Deep Convective Clouds as transfer target – Lunar calibration , and using the Moon for inter-calibration. 10.8μm The coincident result from Lunar and DCC for FY-2E TB [K] The Variation of the Calibration coefficient at ROLO scale FY2E/VIS @ Straylight 30 100*(Cf-Cf0)/Cf0 [%] Annual Drift(Lunar): 1.86±0.79% with 95% confidence SEVIRI L1.0 image 50 20 STD(Lunar): 3.36 10 0 0 -50 -10 Jan.10 Jul.10 Jan.11 Jul.11 Jan.12 Jul.12 Jan.13 Jul.13 Jan.14 Jul.14 Jan.15 Date The Variation of the Calibration coefficient of DCC for FY2E/VIS 30 100*(Cf-Cf0)/Cf0 [%] Annual Drift(DCC): 1.67±0.09% with 95% confidence 50 20 STD(DCC): 2.25 10 0 0 -50 -10 Jan.10 Jul.10 Jan.11 Jul.11 Jan.12 Jul.12 Jan.13 Jul.13 Jan.14 Jul.14 Jan.15 CGMS-43 GSICS Report 15 Date
GSICS holdings and deliverables Holdings or Deliverables Examples GIRO lunar model, ground sites Calibration references and databases Resources Solar irradiance spectrum Plotting tool, THREDDS servers, product Software and hardware tools generation environment, wiki Formats, etc. Standards, conventions, guidelines Calibration methodologies ATBD for NRT correction or re-calibration Products Analysis, monitoring results, Updated SRF; assessment of bias, of non- linearity, polarization sensitivity, assessments Near Real Time or delayed corrections Routine operational corrections Services Information on GSICS &calibration Science publications, GSICS Quarterly, Outreach material User registration, product subscription Web services CGMS-43 GSICS Report 16
Operational coordination: GSICS Procedure for Product Acceptance Submission Phase 1 ISRO product KMA, CMA, in preparation Demonstration Phase 4 EUMETSAT 17 NOAA 6 JMA Pre-operational Phase 4 NOAA products 4 EUMETSAT products 2 in transition to operations Operational Phase CGMS-43 GSICS Report 17
User services Registration in GUMS 275 Registration… 270 • Growing audience of GSICS 265 260 user messaging service 255 250 245 240 235 Apr-14 Jun-14 Aug-14 Oct-14 Dec-14 Feb-15 • Widely disseminated GSICS Quarterly • GSICS User Workshops – 2014: Shanghai – 2015: Toulouse CGMS-43 GSICS Report 18
Responding to HLPP Targets • Establish a consistent inter-calibration for thermal IR channels using hyper-spectral sounders as reference. The implementation will be done successively by the individual satellite operators. • Establish a consistent inter-calibration for solar channels using instruments with adequate in-orbit calibration and vicarious methods as reference. The implementation will be done successively by the individual satellite operators. CGMS-43 GSICS Report 19
Status of HLPP Targets • IR is currently being performed by most agencies operating geostationary imagers – albeit at different levels of maturity. The algorithm is also being rolled out to other platforms/instruments by some agencies. So not yet “fully achieved” – however roughly 80% achieved • VIS is still in development, with the first demonstration GSICS products for the VIS channel of geostationary imagers, based on Deep Convective Clouds, and referenced to MODIS are expected this year. Counterpart products for other satellites will follow. The algorithm will then be extended to include the Moon as a calibration transfer, which is also applicable to channels in the NIR. Roughly 30% achieved CGMS-43 GSICS Report 20
Outline 1. GSICS overview 2. Highlights of recent activities 3. Organization status 4. Challenges and recommendations 5. Summary and conclusions CGMS-43 GSICS Report 21
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