GSICS and the RSSCCM The Global Satellite InterCalibration System and the RegionalSpecialized Satell

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GSICS and the R/SSC-CMThe Global Satellite
Inter-Calibration Systemand theRegional/Specia
lized Satellite Centres on Climate
Monitoring(Input from Mitch Goldberg, a WMO
presentation and Jo Schmetz)
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GSICS Objectives

• To improve the use of space-based global
  observations for weather, climate and
  environmental applications through operational
  inter-calibration of satellite sensors
• Observations are well calibrated through
  operational analysis of instrument performance,
  satellite intercalibration, and validation over
  reference sites
• Pre-launch testing is traceable to SI standards
• Provide capability to re-calibrate archived
  satellite data with consensus GSICS approach,
  leading to stable fundamental climate data
  records (FCDRs)

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GSICS priorities

• GSICS is focusing on establishing infrastructure
  and capabilities
• LEO to LEO intercalibration
• GEO to LEO intercalibration
• Establishment of capabilities at each GSICS
  Processing and Research Centre (GPRC)
• 2008 focus on inter-calibration of MTSAT, MSG,
  GOES and FY2 Infrared Imagers with AIRS and IASI
• EUMETSAT compares MSG (SEVIRI) with AIRS/IASI
• NOAA/NESDIS compares GOES with AIRS/IASI
• JMA compares MTSAT with AIRS/IASI
• CMA compares FY2 with AIRS/IASI

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GSICS Partnerships

• Establishing strong partnership with CEOS
• CEOS data quality assurance workshop
• Developing the framework for data quality
• Establish guidelines for pre-launch calibration
• Establish for vicarious cal/val (DOME-C)
• Specific CEOS tasks

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2007 milestones in development of RSSC-CM

• First R/SSC-CM workshop, Darmstadt, March 07
• 1st Potential Participants Meeting, Geneva, May
  07
• 2nd Potential Participants Meeting, Cocoa Beach,
  Nov 07
• Adoption Version 1 of the R/SSC-CM Implementation
  Plan
• EUMETSAT designated as R/SSC-CM Secretariat

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Conclusions of R/SSC-CM Planning Meeting
(EUMETSAT HQ, April 2008)

• Request for proposals to be issued to potential
  participants (CMA, EUM, JMA, NOAA, USGS) CEOS
• Initial focus on 5 pilot projects of mutual
  interest
• Agreed template for submitting proposals
• Scope is transition from research to operational
  production of ECV
• need proper liaison with science community
• Establish interim R/SSC-CM Executive Panel (REP)

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Five R/SSC-CM selected topics

• AVHRR based data set of cloud and aerosol
  properties
• NOAA, EUMETSAT (Climate Monitoring SAF)
• SSM/I total column WV, precipitation, liquid
  water path
• NOAA, EUMETSAT (CM-SAF), CMA
• Surface albedo, clouds aerosols from GEO
  satellites
• JMA, EUMETSAT (Central Facilities, CM-SAF), NOAA,
  CMA
• Atmospheric Motion Vectors (AMV) clear sky
  radiance
• JMA, EUMETSAT (CF), NOAA, CMA
• Upper tropospheric humidity
• JMA, EUMETSAT (CF CM-SAF), NOAA, CMA

GSICS will give priority to processing of data
records for SSMI, AVHRR, MSU/AMSU, HIRS and the
Geostationary instruments
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R/SSC-CM milestones

• Request for proposal 9 July 2008
• Request for nomination REP 9 July 2008
• Proposal submission November 2008
• REP-1 Meeting January 2009

Question

• Where does ESA reprocessing initiative (Agenda
  Item 5.6X) fit in?

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A couple of examples
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IASI helps resolve the observation discrepancy
from different GOES imagers

• Due to the differences in view geometries,
  spectral response, and instrument calibration, a
  discrepancy arises in creating a composite water
  vapour image from different geostationary
  imagers. IASI can help resolve this discrepancy
  with three steps
• Limb correction
• Tying the GOES calibration to the IASI
  calibration
• Resolving the spectral difference between GOES-11
  and GOES-12 water vapour channels using IASI as a
  transfer radiometer

Image on the left shows a water vapour composite
image from GOES-11 and GOES-12 imagers observed
at 1200 and 1145 UTC on December 1, 2007. Note
the discrepancy in the middle. The image on the
right shows the merged image after this
discrepancy is resolved using IASI.
Significance Inter-calibration of broadband
geostationary imagers with IASI/AIRS and merging
the observations from different geostationary
imagers is a major step in achieving GSICS
goals.
Courtesy of L. Wang and C. Cao
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Reprocessed AMVs from Meteosat-3 (XADC period)
and Meteosat-5 (Delsol, 2008) This corresponds
to period when Meteosat-5 was operational at 0º
and Meteosat-3 was leant to the US due to a
faulty GOES satellite. Reprocessing of both
datasets gives us an opportunity to look at the
impact of having more reprocessed datasets
simultaneously.
Example of coverage 19950102
Original Meteosat-5
Reprocessed Meteosat-3 and Meteosat-5