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.

Sustained Climate Information Flow Satellite & In Situ Observations Satellite data Environmental Data Records Long-term Information Preservation Fundamental Climate Data Records Interim Thematical Climate Data Records Climate Information Short scale physical phenomena monitoring Operational Climate Monitoring supporting Climate Services Longer term climate variability & climate change analysis Adaptation + mitigation planning (decision making) Sustained Applications Major model-based Reanalysis Short and Medium Latency Re-calibration Inter-calibration Reprocessing Observing system performance Monitoring and automated corrections Data conversion User Services Archived Satellite Data and Sustained Coordinated Processing SCOPE-CM Climate Information Records (CIRs) provide specific information about environmental phenomena of particular importance to science and society (e.g., hurricane trends, drought patterns) The term Fundamental Climate Data Record (FCDR) is used to denote a long-term satellite data record, generally involving a series of instruments (all platforms), with potentially changing measurement approaches, but with overlaps, calibration and quality control sufficient to allow the generation of homogeneous products providing a measure of the intended variable that is accurate and stable enough for climate monitoring. FCDRs include the ancillary data used to calibrate them. For “one-off” research type measurements, the principles do not apply, but as many of the other principles as possible (e.g., those for rigorous instrument characterisation prior and during operations, complementarity of surface and satellite-based observations, etc.) should be followed. The term Product denotes, values of fields of Essential Climate Variables derived from FCDRs. Products may be generated by blending satellite observations and in situ data, or by blending multiple in situ or multiple satellite data sources. Some products are generated within model assimilation schemes. Some satellite-based products are created by using the laws of radiative transfer to retrieve ECVs from the FCDRs. Other documents use the term Thematic Climate Data Record (TCDR) for such products; in the GCOS Implementation Plan , the term Integrated Climate Product was used. The development of products may require strong collaboration between organisations responsible for the generation of datasets (e.g., meteorological services, oceanographic centres, environmental agencies, space agencies) and the separate research or operational groups that generate products, to ensure continuous refinement and extension. Adequate details of the product generation approach need to be documented and made available, along with the products, to ensure repeatability and incremental improvement of the products. For further discussion of the terms Fundamental Climate Records and Thematic Climate Data Records see e.g. National Research Council (2004): Climate Data records from Environmental Satellites, the National Academic press, Washington D.C., USA, 150pp.

METEOSAT 1984-2005 Archive evaluation using radiosondes Upgrade of calibration technique (van de Berg, et al., 95) Upgrade of calibration technique (Schmetz, 1989) 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

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.

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 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: UTH applications? Other applications – e.g. Cloud Top Height? What levels of uncertainty can be expected? How stable the Meteosat instruments are? 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]

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 inter-compare 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!

Strategy for LEO-LEO Inter-Calibration PATMOS-x HIRS-HIRS Aqua/MODIS-Terra/MODIS …

General Strategy for LEO-LEO Products Monitored Instruments? AVHRR, HIRS, AIRS, Landsat TM… Reference Instruments? IASI, MODIS, GOME2, …? Methodology? Direct Comparison of Collocated Radiances (SNOs) Other Products? GSICS Corrections } for nominal SRFs GSICS Bias Monitoring } and CRCs Near Real-Time and Re-Analysis Migrating references

Specific Plans for LEO-LEO Products PATMOS-x Andy Heidinger HIRS-HIRS Shi & Bates Aqua/MODIS-Terra/MODIS Dave Doelling? Landsat7/ETM-Terra/MODIS Gyanesh Chander …