1. FY08 GOES-R3 Project Proposal Title Page

1. 1. FY08 GOES-R3 Project Proposal Title Page • Title: Development of Longwave Radiation Budget Products for GOES-R ABI and HES Instruments • Project Type: Development • Status: Renewal • Duration: 3 years • Leads: Hai-Tien Lee (CICS/ESSIC-NOAA) Istvan Laszlo (STAR)

2. 2. Project Summary • Objective: Develop and implement retrieval algorithms of longwave radiation budget parameters for GOES-R ABI and HES. (HES development was suspended since FY2007.) • Products: • OLR – TOA outgoing longwave radiation • DLW – Surface downward longwave radiation • ULW – Surface upward longwave radiation • CR – Atmospheric cooling rate • Method: HIRS heritage regression model methodology. • Adapt and improve upon the heritage POES techniques for the new GOES-R instruments and to resolve problems pertaining to the fixed geostationary satellite observing geometry. • Develop synergy with POES observations to alleviate GOES-R limitations, e.g., lack of sounder. • Work is done at CICS/ESSIC with ORA contribution.

3. 3. Motivation/Justification • Supports NOAA Mission Goals: • Climate • Weather and Water • GOES R3 Plan ver.9, Dec 2006: • Provide accurate description of earth radiation’s diurnal variation at both TOA and surface that is important • in understanding the physical processes of ERB diurnal variations; • to complement POES ERB observations for time integral; • for NWF/GCM diagnosis, particularly for convections. • Deliver GOES-R MRD-2B ERB parameters – OLR, DLW, and ULW. • AWG Radiation Budget AT identified degradation of surface LW flux estimate due to unavailability of HES measurements, and suggested exploring the use of EOS soundings. • TAC recommendation: Demonstrate impact of loosing HES on LW flux, and supported exploration of synergy between ABI and EOS sounding for LW.

4. 4. Methodology • OLR, DLW and CR – HIRS Multi-spectral regression techniques; ULW – Physical derivation. • Radiative transfer model to simulate radiative flux and satellite radiance observations given a large set of representative atmospheric profiles • Linear/non-linear regression analysis to determine regression coefficients as functions of viewing zenith angles (azimuth symmetry assumed) • Develop methods to incorporate ancillary information and improve accuracy – scene type, cloud properties (cloud base height and temperature), LW broadband surface emissivity, skin temperature, atmospheric temperature and humidity profiles, POES observations/products. • Develop Product Validation and Monitoring plan and QC/QA procedures.

5. 5. Summary of Previous Results • Pursued SEVIRI OLR study recommended in TAC review. • ABI OLR model was examined with the surrogate MODIS and SEVIRI observations that were validated with the broadband CERES OLR products. • Assessed the MODIS and SEVIRI OLR instantaneous retrieval accuracies for the global and Meteosat-8 full-disk domains, respectively. • Found viewing angle dependant and regional (desert) biases in SEVIRI OLR retrieval (currently under investigation). • Defined preliminary DLW and ULW algorithm designs. • ABI OLR ATBD in preparation.

6. 5a. Previous Results Comparison of two SEVIRI OLR models SEVIRI OLR vs CERES OLR for June 21-27 and Dec. 11-17, 2004 over Meteosat8 full disk domain collocated with CERES SSF data at view zenith angle matched homogeneous scenes, both day & night. RMS diff =4.5 Wm-2 RMS diff = 4.0 Wm-2 Viewing zenith angle dependent biases in SEVIRI OLR

7. 0 3 6 Wm-2 -6 -3 3 6 Wm-2 5b. Previous Results (cont.) • June 21-27 and Dec. 11-17, 2004 Meteosat8 full disk domain • CERES SSF FM1/2 (Ed2b), FM3/4 (Ed1b) • View zenith angle matched (<1°), homogeneous scenes (index<0.01), both day & night SEVIRI-CERESMean Diff Std Diff The SEVIRI OLR agrees with CERES to within ±3 Wm-2 in most areas in the domain. But regional systematic errors in SEVIRI OLR was found in deserts and south-eastern Atlantic ocean where seem to associate with relatively larger retrieval uncertainties. Model B 1°x1°

8. 6. Expected Outcomes • Simulated radiative flux and satellite radiance observations for a large set of representative atmospheric profiles. • Regression coefficients as functions of viewing zenith angles for OLR estimation. • Methods for incorporating ancillary information (scene type, cloud base height and temperature, LW broadband surface emissivity, skin temperature, atmospheric temperature and humidity profiles, POES observations/products) to improve accuracy. • Product Validation and Monitoring plan. • QC/QA procedures. • Detailed results of tests and evaluation of quality of LW retrievals. • ATBD.

9. -6 -3 3 6 Wm-2 Illustration of Expected Outcomes “ABI OLR” Product OLR product from ABI observations will be provided over GOES full disk at a native resolution of 2 km (twice better than current GOES) every 15 minutes (12 times more frequent than today). SEVIRI-CERES Uniform OLR difference field was obtained from an experimental SEVIRI OLR model with extra quadratic radiance terms empirically determined with observed radiances and flux data. GOES8 Imager OLR

10. 7. Major Milestones • FY08 • ABI OLR, DLW and ULW algorithms in Collaborative Environment are implemented. • Operationally generated proxy OLR product are evaluated and validated. • DLW and ULW algorithms are ready. • Impact of EOS sounding data is analyzed. • ATBD is ready. • FY09 • Development of LCR algorithm is started. • LCR validation/evaluation databases are collected. • LCR algorithms are validated, and accuracy is assessed. • Design process for operational coding, documentation and implementation of approved algorithms are started. • Reports documenting validation of LCR algorithm are ready for delivery. • FY10 • Second phase of assessments and algorithm improvement are started. • Day one algorithm system is ready. • Final design review for operational day one system for longwave radiation budget products. • ATBD is ready for delivery.

11. 8. Funding Profile (K) • Summary of leveraged funding • LW Earth Radiation Budget study is supported by jointly by the GOES-R Risk Reduction and AWG programs. FY2008 and FY2009 funding levels from each of the two programs are to be determined.

12. 9. Expected Purchase Items • FY07 • (85K): STAR CICS Grant for 1 people at 1/2 time from Jul 06 to Jun 07 • Develop ABI OLR algorithm • Write ATBD of OLR algorithm. • FY08 • (156K): STAR CICS Grant for 1 people at full time from Jul 07 to Jun 08 • Develop DLW and ULW algorithms. • Evaluate and validate operationally generated proxy OLR product. • Implement ABI OLR, DLW and ULW algorithms in Collaborative Environment. • Analyze impact of EOS sounding data on LW retrieval. • Write ATBD. • Deliver ABI DLW and ULW algorithms. • FY09 • (156K): STAR CICS Grant for 1 people at full time from Jul 08 to Jun 09 • Develop LCR algorithm. • Collect LCR validation/evaluation database. • Validate LCR algorithms and assess accuracy. • Code and implement approved operational algorithms. • Reports documenting validation of LCR algorithm. • FY10 • (162K): STAR CICS Grant for 1 people at full time from Jul 09 to Jun 10 • Perform second phase of assessments and algorithm improvements. • Design Day one algorithm system. • Prepare final design review for operational day one system for longwave radiation budget products. • Write ATBD.