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ACSPO V2.30 Effective Date: 10 March 2014

ACSPO V2.30 Effective Date: 10 March 2014. Yury Kihai, John Stroup, Boris Petrenko, XingMing Liang, Sasha Ignatov NOAA/NESDIS/STAR John Sapper NOAA/NESDIS/OSPO. ACSPO Version 2.30. Lineage Prior major release: ACSPO V2.20 Preceded by one intermediate release: ACSPO V2.21

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ACSPO V2.30 Effective Date: 10 March 2014

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  1. ACSPO V2.30 Effective Date: 10 March 2014 Yury Kihai, John Stroup, Boris Petrenko, XingMing Liang, Sasha Ignatov NOAA/NESDIS/STAR John Sapper NOAA/NESDIS/OSPO ACSPO v2.30

  2. ACSPO Version 2.30 • Lineage • Prior major release: ACSPO V2.20 • Preceded by one intermediate release: ACSPO V2.21 • Minor update affecting AVHRR GAC only • V2.30 includes V2.21 upgrades (except variable SST coefficients, and string SST biases in output file) • Running in 3 environments: • STAR (research) • AVHRR • MODIS • VIIRS • OSPO Polar NOAA & Metop satellites (operations) • AVHRR -- Not all upgrades applicable for OSPO due to incompatible output format (several upgrades require NetCDF4). • OSPO NPP Data Exploitation (NDE) (operations) • VIIRS ACSPO v2.30

  3. Significant Upgrades in ACSPO V2.30 (1) • New NetCDF4 output capabilities (STAR and NDE only) • Two formats • Legacy • GHRSST Data Specification, version 2 (GDS2) • Standard format developed by the Group for High Resolution Sea Surface Temperature (GHRSST) • Compliant with the climate and forecast (CF) metadata conventions • Multiple files • 2 or more files can be output during a single run • ACSPO content can be split among the multiple files • Number of files and their content controlled via configuration file • Files output in parallel to help reduce I/O time • Majority of new GDS2 content calculated automatically via information in configuration file. No special code needed. ACSPO v2.30

  4. Significant Upgrades in ACSPO V2.30 (2) • Upgrades to SST algorithms • The former ACSPO regression SST algorithms were replaced with EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI-SAF, Lavanant et al., 2012, VIIRS SST at OSI-SAF. GHRSST XIII Science Team Meeting, Tokyo, Japan) • The OSI-SAF algorithms were shown to provide overall a better combination of accuracy, precision and sensitivity to true SST, out of existing operational SST algorithms (Petrenko et al., Evaluation and selection of SST regression algorithms for JPSSVIIRS, 2014, JGR, in review) • The ACSPO SST regression equations are now synchronized with OSISAF and IDPS (Mx8.2) • The Incremental Regression SST algorithm is optionally available and corresponding SST can be output using settings in ACSPO config file • Regression and Incremental Regression coefficients have been updated • SSES input files have been updated ACSPO v2.30

  5. Significant Upgrades in ACSPO V2.30 (3) • Upgrades to ACSPO Clear-Sky Mask • Adjusted clear-sky mask thresholds to increase the ratio of “ACSPO clear-sky pixels to all ocean pixels” for GAC, making it more consistent with FRAC [V2.21] • Filtered out NaN values from array calculations • Those may have occasionally led to random clear-sky mask results and noisy mask on AIX ACSPO v2.30

  6. Significant Upgrades in ACSPO V2.30 (4) • Adjusted twilight zone region • Before, was set for solar zenith angle range from 85°-110°; Reset now to 85°-95° • Affects clear-sky mask and setting of twilight bit in ACSPO mask • Corrected bug in calculation of atmospheric transmittances [V2.21] • Generated new set of geo-spatial global attributes (GDS2 output only) as required by NDE ACSPO v2.30

  7. Significant Upgrades in ACSPO V2.30 (5) • Upgraded code to handle two formats of surface properties ancillary data • Single HDF4 file (same as previous versions) • Two NetCDF4 files (one containing bathymetry/elevation information and the other containing land-sea distance/mask) • OpenMPpragmas added to allow the 2 files to be read and processed in parallel • Compile- and run-time environment upgrades • ACSPO and all its libraries built with, and optimized for, Intel version 14 compiler and to support function calls from parallel OpenMP regions • Two new Intel-specific OpenMP environment variables to better (1) optimize for the host machine and (2) determine the number of threads to use in parallel regions. ACSPO v2.30

  8. Comparison of performanceof ACSPO V2.21 and V2.30 ACSPO v2.30

  9. Daytime VIIRS “SST minus CMC”16 October 2013 OSI-SAF SST algorithm ACSPO Heritage SST algorithm OSI-SAF SST - Heritage ACSPO SST Former ACSPO daytime NLSST algorithm (top-left image) may create artificial cold or warm SST anomalies at large view zenith angles The OSI-SAF NLSST algorithm (top-right image) mitigates these artifacts The improvements are more clearly seen on the image of the OSI-SAF minus former ACSPO SST (bottom-left) ACSPO v2.30

  10. Nighttime VIIRS “SST minus CMC” 16 October 2013 OSI-SAF SST algorithm ACSPO heritage SST algorithm OSI-SAF - Heritage ACSPO SST At night, the difference between the heritage (top- left image)and OSI-SAF MCSST (top-right image) algorithms is less dramatic than during day The improvement at large view zenith angles is still statistically significant – see bottom-left image of the difference between OSI-SAF and former ACSPO MCSST ACSPO v2.30

  11. Incremental Regression SST algorithm VIIRS, 16 October 2013 IncR SST – CMC, day IncR SST – CMC, night The Incremental Regression (IncR) SST algorithm (B. Petrenko et al., 2011), Development and evaluation of SST algorithms for GOES-R ABI using MSG SEVIRI as a proxy, RSE, 115, 3647–3658) has been fully implemented in ACSPO v.2.30. Currently, it is not used operationally pending offline analyses. It can be turned on with changing settings in ACSPO config file, if the improvements over the Regression are demonstrated ACSPO v2.30

  12. Ongoing and Future Work • Implement multiple SST algorithms (including those with temporally variable regression coefficients), with flexibility to select settings in config file (currently part of V2.31) • Store global M-O BT and SST biases in output file (currently part of V2.31) • Explore pattern recognition improvements in ACSPO clear-sky mask • Explore atmospheric smoothing over ambient pixels to suppress Gaussian noise in SST • Explore de-striped VIIRS and MODIS L1b data as ACSPO input • Add more metadata (global attributes) to help quantify the product quality (e.g., number of clear pixels, % clear pixels) • Fix minor bug and refine time code fields in file names to match actual data times (current implementation) or “bin/bucket” times (future flexibility) • Add capability to handle geo-stationary satellite data (e.g., SEVIRI and GOES-R) • Explore ECMWF profiles as alternative to GFS in CRTM ACSPO v2.30

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