1. Review of EUMETSAT’s GEO-LEO Correction
Tim Hewison

2. Scope Status of GEO-LEO IR ATBDs Revised NetCDF Format for Results
GSICS Correction Coefficients
Strategy for developing Test Dataset

3. Status of GEO-LEO IR ATBDs
Reviewed:
EUMETSAT SEVIRI-IASI: web/ATBD_for_EUMETSAT_Inter-Calibration_of_SEVIRI-IASI.DOC
NOAA GOES-AIRS
JMA MTSAT-AIRS/IASI
All now follow same Hierarchical Structure
Implemented as single MS Word documents (difficult to manage)
Need support from GDWG to create document management system
Draft “1 page ReadMe” file describing GSICS Correction
Operational Status:
EUMETSAT SEVIRI-IASI
v0.3 Describes current proto-type algorithm
v0.4 Handed-over for Operational implementation
EUMETSAT HIRS-IASI (Metop-A)
Same ATBD forms basis of proto-type HIRS-IASI comparison

4. Parameters of Static Web Displays – No Feedback!
Collocation Maps
Regression Scatter plots
With Error bars? Thinned?
Time Series of Tb bias at Tbstd
Period? <=1yr?
Daily, ‘Monthly’
Trends, ‘resets’ (alerts)
Multiple Standard Radiances?
Regression Coefficients?
Download Correction Coefficients
NetCDF format
Not available yet

5. New NetCDF format for Inter-Calibration Results
Increased flexibility
Slightly more complex
Store Coefficients (and biases) in 2-D arrays
1 dimension for channels of Instrument Under Test
1 dimension to allow time series of results, ndates
and/or results from multiple configurations to be reported, nsets
e.g. Smoothed/unsmoothed, night-time/day-time, etc.
Multiplexed in single dimension, nselections=ndates.nsets
First configuration set is the baseline
Added variable to define dates and configurations
Proposal follows

6. Re-Revised NetCDF format for Inter-Calibration Results

7. Proposed Configuration Flags
Configurations can be defined by binary flags
;Long Integer comprising 16 bit-pairs, identifying 16 variables: ; Bits:Variable  -00      ,01      ,10      ,11      . ; ; 0, 1:Smoothing -None    ,Weekly  ,Monthly ,Yearly  . ; 2, 3:TimeOfDay -All     ,Night   ,Day     ,Twilight. ; 4, 5:Latitude  -All     ,<30N/S  ,30-60N/S,>60N/S  . ; 6, 7:Longitude -All     ,        ,        ,        . ; 8, 9:Cloudy    -All     ,Clear   ,Overcast,Broken  . ;10,11:Surface   -All     ,OpenSea ,Land    ,SeaIce  . ;12,13:IncAng    -All     ,<15deg  ,15-30deg,>30deg  . ;14,15:AziAng    -All     ,        ,        ,        . ;16,17:PolAng    -All     ,        ,        ,        . ;18,19:SolZenAng -All     ,<30deg  ,30-60deg,>60deg  . ;20,21:SolAziAng -All     ,        ,        ,        . ;22,23:Reserved  -All     ,        ,        ,        . ;24,25:Reserved  -All     ,        ,        ,        . ;26,27:Reserved  -All     ,        ,        ,        . ;28,29:Reserved  -All     ,        ,        ,        . ;30,31:Reserved  -All     ,        ,        ,        .
e.g. '0'b=results derived from full dataset, '10'b=2=As 0, but with monthly smoothing, ' 'b=1302=As 0, but with monthly smoothing, night only, tropical, clear sky, over sea, etc.

8. Review of Actions on EUMETSAT from Exec Panel 6
GRWG (F. Wu and T. Hewison) to complete the definition of a consensus GSICS Correction for each geostationary satellite (as a starting point), prepare a description of this GSICS correction, and illustrate it by a test data set. Deadline: 30 June 2009
GRWG to consider the possible recommendations to GRUAN regarding coordinated radio-sondes and satellite observations (involving D. Tobin et al.) and report to Executive Panel Members. Deadline: 31 July 2009
M. Goldberg and J. Schmetz to organize a preliminary evaluation of the impact of GSICS Correction of GOES and MSG data on some key products, for presentation at the User Workshop. Deadline: 21/09/09
Webmeeting 12/05/09: EUMETSAT and NOAA accepted the action that GPRC to submit complete ATBD.

9. Strategy for EUMETSAT Test Dataset
Select MSG product sensitive to inter-calibration changes
Largest changes are in IR13.4 ~1K
Used in CO2 slicing algorithms to determine cloud top heights
Calculate product before and after applying GSICS Correction
Validate both against independent reference?
A-Train?
Only possible for limited datasets!