1 / 1

Monthly in situ VAL for AVHRR GAC SSTs and PathFinder Resume L4-SQUAM; add remaining L4-products

SST Quality Monitor (SQUAM) Updates: Progress since GHRSST-13 and Future Work http://www.star.nesdis.noaa.gov/sod/sst/squam/ Prasanjit Dash 1,2 , Alexander Ignatov 1 , Yury Kihai 1,3 1 NOAA/NESDIS/STAR; 2 Colorado State University-CIRA 3 GST Inc. IDPS Cloud & Ice Mask Analyses.

deon
Download Presentation

Monthly in situ VAL for AVHRR GAC SSTs and PathFinder Resume L4-SQUAM; add remaining L4-products

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SST Quality Monitor (SQUAM) Updates:Progress since GHRSST-13 and Future Work http://www.star.nesdis.noaa.gov/sod/sst/squam/ Prasanjit Dash1,2, Alexander Ignatov1, Yury Kihai1,3 1NOAA/NESDIS/STAR; 2Colorado State University-CIRA 3GST Inc. IDPS Cloud & Ice Mask Analyses Background • Quality Flags: Two separate sets of QFs are provided in IDPS Product: (1) SST QFs; and (2) VIIRS Cloud Mask. Analyses were aimed at identifying a suitable combination. www.star.nesdis.noaa.gov/sod/sst/squam/HR/index_v2.html • Ice Mask: Standard deviation of IDPS VIIRS SST increased in early 2012, when compared against several reference SST fields, which was due to a sub-optimal ice mask. This was identified in SQUAM. Fixes are underway. • The SQUAM is a web-based near real-time (NRT) tool to monitor level-2/3 (L2/3) satellite and level-4 (L4) analysis SST products for stability and cross consistency. • SQUAM analyzes statistics of departure of target SST (TS) relative to “reference” SST fields (TR), including several L4 fields and in situ data. • Data stream included in SQUAM since GHRSST-13 are shown in green: “IDPS VIIRS minus OSTIA”, Mar-20-2012 Condition #1 'High Quality'Condition #8 'Confidently clear‘ (recommended) L2- and L3- SQUAM: (L2 – L4) • L4-SQUAM: (L4 – L4)** • Reynolds (AVHRR; AVHRR+AMSR-E*) • RTG (high, low) • NAVO K10 • POES GOES Blended • NASA JPL: 1km G1SST, 1km MUR • OSTIA (real-time, reanalyzed) • CMC0.2° (real-time; RAN ongoing) • GAMSSA, ODYSSEA • GMPE • *AMSR-E discontinued in 2011 • +pending inclusion of RSS, NCODA Bulk L2 (LEO) L3 (LEO) High Res (HR) (AVHHR/MODIS/VIIRS) PathFinder v5.0 (Ref: L4, in situ): (A)ATSR [ESA CCI ARC] (ongoing) NESDIS ACSPO (Ref: L4, insitu): Metop-A, NPP VIIRS, Metop-B, Terra/Aqua MODIS EUMETSAT O&SI SAF (Ref: L4, insitu): JPSS IDPS VIIRS (Ref: L4, insitu): Foundation GAC (Global Area Coverage) Fig. 2: Analyses of IDPS quality flags for performance and coverage Ensemble NAVO SEATEMP (Ref:L4, insitu) • NESDIS • ACSPO (Ref: L4, insitu) • - NOAA16-19,Metop-A,Metop-B • Insitu val for all platforms • Analyses of reprocessed GAC NESDIS heritage Main Unit Task(MUT) (Ref: L4, insitu) Increasing std dev in IDPS SST Table 1: Sea surface temperature (SST) products monitored in SQUAM **SQUAM was affected due to the STAR move from Camp Springs, MD to College Park, MD in August 2012. SQUAM functionality has now been fully restored along with newer additions;. The only exceptions is L4-SQUAM which is expected to be restored in August 2013. 1. Progress since GHRSST-13 Fig. 2: Ice-mask issue in IDPS VIIRS detected from std. dev of SSTs wrt. OSTIA AVHRR GAC & PF Daily in situ VAL • Inclusion of newer satellite SST products (cf., Table 1) • Quality flags available in IDPS SST data were analyzed and a recommendation was made • Ice-mask issues with IDPS SST was uncovered, reported and fixed • Daily in situ validation of ACSPO AVHRR GAC SSTs were implemented (in line with high-resolution products) • Daily in situ validation of PathFinder (PF) v5 included • Monthly in situ validation of High Resolution SSTs were implemented (in line with standard practice) • This module was affected by STAR move in August 2012; expected to be restored in August 2013. L2- and L3-SQUAM GAC: www.star.nesdis.noaa.gov/sod/sst/squam/ACSPOGAC PathFinder: www.star.nesdis.noaa.gov/sod/sst/squam/PF/ Monthly VAL wrt. iQuam in situ SST OSI SAF Metop-A SST minus Drifters, Night Daily (31-May-2013)Monthly (May-2013) L4-SQUAM New L2 SSTs: VIIRS, Metop-B b) PDF of a); outliers handled by robust statistics a) NPP VIIRS (ACSPO) night SST minusOSTIA, 06-Jun-2013 Fig. 3: Daily vs. Monthly in situ validation of high resolution SSTs Summary • A number of new L2 SST products were included in SQUAM: VIIRS (ACSPO, IDPS), and Metop-B (ACSPO GAC and FRAC). Analyses and fixes are underway. • For IDPS SST product, analyses of quality flags were performed and a suitable combination selected. Also, an issue with ice-mask was uncovered using SQUAM. • Daily in situ validations for ACSPO AVHRR GAC and PathFinder v5 were included. • Monthly in situ validation for high resolution SSTs was implemented c) “High Res L2 night SST – OSTIA” SST, mean d) “High Res L2 night SST – OSTIA” SST, std dev Future Work e) Geographical dependence w.r.t. latitude f) Geophysical dependence w.r.t. total column water • Monthly in situ VAL for AVHRR GAC SSTs and PathFinder • Resume L4-SQUAM; add remaining L4-products • Include L3 ARC SSTs • Include standard MODIS SST products (MOD28/MYD28) • Analyses of geostationary satellite SSTs • Analyze correlated error in L2s via “L2-L4” vs. “L2-L4” diagrams for various L2 SSTs Acknowledgments & Disclaimer This work was supported by NESDIS (PSDI, JDE, ORS), JPSS, GOES-R. We thank SST colleagues at NCEP (Bob Grumbine), O&SI SAF (P. LeBorgne), UK Met Office (Matt Martin, Jonah Roberts-Jones, Emma Fiedler), NAVO (Doug May, J-F. Cayula, Bruce McKenzie), NODC (Ken Casey, Deirdre Byrne), U. Miami (Bob Evans, Peter Minnett), ABoM (Helen Beggs), JPL NASA (J. Vazquez, Yi Chao, Mike Chin, & Ed Armstrong) and NESDIS STAR & OSPO) (J. Sapper, F. Xu, XM. Liang, B. Petrenko, J. Stroup, D. Frey, E. Maturi, A. Harris, J. Mittaz) for help and collaboration. The views and findings are those of the authors and should not be construed as an official NOAA or US Government position, policy, or decision. Fig. 1: L2-SQUAM diagnostics for high resolution SST w.r.t. OSTIA. (more analyses at: http://www.star.nesdis.noaa.gov/sod/sst/squam/HR) GHRSST XIV Annual meeting 2013, 17-21 June 2013, Woods Hole, MA, USA Prasanjit.Dash@noaa.gov /Tel.: 301-683-3363 or Alex.Ignatov@noaa.gov / Tel.: 301-683-3379

More Related