Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Effective shift of SRF assuming 2.1  m ice Global Space-based Inter-Calibration System (GSICS) X. Wu 1, F. Yu 2, R. Iacovazzi 2, A. Jelenak 3, L. Wang 4, M. Goldberg 1 (GOVERNMENT PRINCIPAL INVESTIGATOR), F. Weng 1, G. Ohring 5, C. Cao 1, T. Schmit 1, M. Gunshor 6, Y. Li 7, M. K. Rama Varma Raja 7, T. Zhu 8 1 NOAA/NESDIS/STAR, 2 ERT, 3 UCAR, 4 Dell, 5 Consultant, 6 UW/CIMSS, 7 IMSG, 8 CSU/CIRA Requirement: Interoperability within the Global Earth Observation System of Systems (GEOSS) and climate monitoring require consistent radiance measurements acquired With imaging and sounding instruments On geostationary (GEO) and low earth orbit (LEO) Operated by various national and international agencies, and Using a series of similar or evolving instruments. Science: Explore the limit to which various instruments can be inter-calibrated. Develop and apply inter-calibration methods to produce consistent radiance. Benefit: Improved satellite instrument calibration meets the demands of sophisticated numerical weather prediction (NWP) and climate change detection. Science Challenges: No instrument is adequate to serve as reference for solar bands before CLARREO, nor for infrared before AIRS. Inter-calibration in microwave spectrum poses new challenges. Next Steps: Extend the GEO-LEO IR to the beginning of AIRS. Improve visible calibration for GEO. Expand GSICS to POES (AVHRR) and microwave. Transition Path: Develop rigorous Acceptance Procedure for products such as GSICS Correction. Work with satellite operations to implement specific products (e.g., Imager 13.3  m channel SRF, GEO-GEO evaluation for PLT) when mature. LEO-LEO and GEO-GEO GSICS is an international program sponsored by the World Meteorological Organization (WMO) and the Coordination Group for Meteorological Satellites (CGMS). The aim is to ensure consistent satellite measurements that enable more accurate measurements for assimilation in numerical weather prediction models, construction of more reliable climate data records, and progress towards achieving the societal goals of GEOSS. Agencies participating in the program include China Meteorological Administration (CMA), Centre National d’Etudes Spatiales (CNES), European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Japan Meteorological Agency (JMA), Korea Meteorological Administration (KMA), NASA, National Institute of Standards and Technology (NIST), and NOAA. GSICS is led by its Executive Panel, with advisory support from GSICS Research Working Group (GRWG) and GSICS Data Working Group (GDWG). Routine inter- calibrations are performed at GSICS Processing and Research Centers (GPRC), in collaboration with national space or standard agency and universities (Calibration Support Segment, CSS), and coordinated through GSICS Coordination Center (GCC). Member Executive Panel Research WG Data WGGCCExpertise CMAP. ZhangX. HuZ. Rong GPRC CNESD. RenautD. Blumstein CSS EUMETSATJ. SchmetzM. König V. Gätner (Chair) GPRC JMAT. KurinoA. OkuyamaH. Owada KMAD. Kim Y. Hwang GPRC NASAJ. ButlerD. Doeling CSS NISTR. Datla CSS NOAA M. Goldberg (chair) X. Wu (chair) A. Jelenak F. Weng (Director) GPRC WMO J. Lafeuille (Secretary) GEO-LEO Infrared Masks, flags, … SRFs, PSFs, … Correcting GSICS Correction Correction Coeffs Comparison Data Collocated Data IUT Lvl 1 DataRe-Cal Data Plots and Tables Orbit Prediction Colloc. Criteria IUT Level 1 DataRef Level 1 Data Reports MonitoringDiagnosing Collocation Transformation Products Users Analysis FEB 23, 2008 Decontamination, 02JUL07 Instrument with incorrect SRF Add CO 2 Add bias Less CO 2 Less bias Warmer Colder Would the bias for warmer scenes be larger than that for colder scenes? No CO 2 No bias (almost) GEO-LEO Visible Reversed correction Inversion above tropopause Adding a constant under-corrects warm scenes and over-corrects cold scenes Less AbsorptionMore Absorption Non- uniform features Remaining responsivity of 3 GOES-12 channels prior to the decontamination GEO (background on the left) instruments are inter-calibrated with AIRS (upper left) and IASI (lower left) after spectral (upper middle) and spatial (lower middle) adjustment, using an algorithm outlined on the right. The results are used to monitor (below left), correct (below right), and diagnose the bias. Examples of LEO-LEO inter-calibration based on Simultaneous Nadir Overpass (SNO) for HIRS (left) and AVHRR (center). More details can be found in the poster by Cao et al. On the right is an example of GEO-GEO inter-calibration for GOES-14/12, which played critical role in the investigation of GOES-14 Sounder loose lens anomaly during GOES-14 Post Launch Test (PLT). Strong Weak Absent Asymmetric Correlation coefficient =0.973 SSE=2.04% Slope= / Coeff=89.28+/-0.46 MeanRefl = coeff *e- slope*t 95% confidence interval