Strategy for Re-Analysis Products

Strategy for Re-Analysis Products
•HIRS-HIRS
•Handling different dataset versions
•Tying one end of series
•…
EUMETSAT Re-Analysis of Meteosat Archive
• EUMETSAT plans to process a re-analysis of whole
Meteosat archive
• Requires development of inter-calibration product
– using homogenised HIRS data as a reference, [Shi & Bates, 2011]
– based on GSICS methods
– EUMETSAT agreed to draft a detailed work plan for these
developments, which Tim Hewison will present this at the next
GRWG meeting in March 2011, where it will be reviewed and
attempts made to coordinate these activities with related
activities of other groups.
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Sustained Climate Information Flow
Satellite & In Situ
Observations
Short and Medium
Latency
Long-term Information Preservation
Climate Data Records
Satellite data
Archived
Satellite
Data and
Records
Intercalibration
Sustained
Coordinated
Processing
Environmental
Data Records
Interim
Climate Data
Records
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Fundamental
Climate Data
Records
Re-calibration
Inter-calibration
Reprocessing
Thematical
Climate Data
Records
Data conversion
User Services
Major
model-based
Reanalysis
SCOPE-CM
Sustained
Applications
Observing system
performance
Monitoring
and automated
corrections
Short scale
physical phenomena
monitoring
Operational Climate
Monitoring supporting
Climate Services
Longer term climate variability
& climate change analysis
Climate
Information
Records
Adaptation
+ mitigation planning
(decision making)
METEOSAT 1984-2005 Archive evaluation using radiosondes
METEOSAT2
MET4
MET3 MET3
Upgrade of calibration technique
(Schmetz, 1989)
METEOSAT4
METEOSAT5 MET6
Upgrade of calibration technique
(van de Berg, et al., 95)
METEOSAT7
ISCCP DX Normalized Instead of nominal
Comparisons between the METEOSAT BTs and the simulated BTs from
radoisoundings: (+) represent the raw data, (◊) represent the homogeneised data.
The histogram shows the nb of soundings used for comparison.
Can we do better than that and extend to SEVIRI?
Courtesy of Helene Brogniez and Rémy Roca, LMD
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Plan for a MVIRI and SEVIRI Infrared Channel
Inter-calibrated Data Set within GSICS
• EUMETSAT proposed within GSICS the inter-calibration of the
Meteosat IR channels for the complete series of satellites to arrive
at a homogeneous data series that is consistent with HIRS;
• It will use inter-calibrated HIRS from NOAA/NCDC (adjusted to HIRS
on NOAA-12) with GSICS collocation and inter-calibration
procedures taking HIRS as truth;
• Control inter-calibration in overlapping areas after IODC started;
• Derive CSR, AMV and other products from inter-calibrated radiance
– Document changes with respect to prior reprocessed data;
• Aim to ultimately tie homogenized HIRS time series to MetopA/IASI
• Development and implementation targeted for 2011/2012.
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Inter-Calibration Plan for Meteosat Re-Analysis
•
From archive of data from:
–
–
MVIRI & SEVIRI on Meteosat-2 to -9
HIRS on TIROS-N, NOAA-6 to -17 and Metop-A
– Clear Sky radiance only from Shi & Bates [2011]
•
Compile test dataset from 2004:
–
–
•
MVIRI on Meteosat-5 and -7
HIRS on NOAA-16 and -17
Apply GSICS collocation criteria
–
•
These may require fine tuning later
Analyze results of regression of collocated radiances
–
–
Using GSICS baseline methodology
Investigate impact of using only clear sky radiances
•
–
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by comparison with MVIRI-IASI and MVIRI-HIRS results
Conduct Uncertainty Analysis
Inter-Calibration Plan for Meteosat Re-Analysis
•
Make recommendations from this analysis:
–
Are clear-sky only inter-calibrated HIRS time series adequate for:
•
•
–
–
What levels of uncertainty can be expected?
How stable the Meteosat instruments are?
•
–
–
•
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UTH applications?
Other applications – e.g. Cloud Top Height?
Do we need to change the collocation smoothing period?
Or do we need to homogenize HIRS data for all-sky conditions?
Summer 2011 Milestone decision: How to proceed…
Discuss GSICS support for other re-analysis plans!
Re-Analysis with Radiosonde References
• EUMETSAT also plan to evaluate the use of the ARSA database
• (Analyzed Radio Soundings Archive) from LMD
• With RTTOV (fast RTM)
• – compare with collocated Meteosat radiances
• As validation for inter-calibration
• GRUAN-GSICS Coordination:
• It could it be good to address the GRUAN and the connect to GSICS?
I will forward you relevant discussions from the last GCOS/AOPC meeting.
Idea would be to use WV radiance spectra from IASI and AIRS and compare
with calculated spectra from GRUAN which have very good humidity
measurements for UTLS. [2011-03-10 Jo Schmetz, GSICS Exec Panel]
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GCOS/AOPC-XVI 7-11 February 2011
Draft Summary and Recommendations
8.2 NOAA Activities related to Climate Monitoring, including the MW-sounding temperature consensus
data set initiative
• The Panel appreciated the paper by Goldberg (Doc 8.2) showing how comparisons of AIRS and IASI
radiances with those simulated from reanalyses can be used for independent validation of the climate
reanalyses, in particular to improve understanding and reconcile differences between the reanalyses.
It noted that to reduce differences between the reanalyses there needs to be an effort to use
radiative transfer code which agree at the 0.2 K level with observed values. Using GRUAN-like
radiosondes collocated with AIRS and IASI are critical for reducing uncertainties in radiative transfer
and to demonstrate the accuracy of the radiative transfer algorithm. In doing so, the reanalysis and
NWP communities will be encouraged to assimilate the original AIRS and IASI data without bias
corrections, and remaining differences between reanalyses will be primarily due to model physics.
(Text from June 2010 Notes:)
• The Panel encouraged the continuation of these spectrally resolved infrared radiances to intercompare and assess climate reanalyses from NCEP, ECMWF, JMA, NASA. It further stressed the
importance of providing and sustaining high quality in-situ observations through programmes such as
GRUAN to improve radiative transfer models.
• Discuss!
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