A 1/4°-Spatial-Resolution Daily Sea Surface Temperature Climatology Based on a Blended Satellite and in situ Analysis

Viva F. Banzon NOAA/NESDIS/National Climatic Data Center, Asheville, North Carolina

Search for other papers by Viva F. Banzon in
Current site
Google Scholar
PubMed
Close
,
Richard W. Reynolds Cooperative Institute for Climate and Satellites, North Carolina State University, Asheville, North Carolina

Search for other papers by Richard W. Reynolds in
Current site
Google Scholar
PubMed
Close
,
Diane Stokes NOAA/NWS/NCEP/Environmental Modeling Center, College Park, Maryland

Search for other papers by Diane Stokes in
Current site
Google Scholar
PubMed
Close
, and
Yan Xue NOAA/NWS/NCEP/Climate Prediction Center, College Park, Maryland

Search for other papers by Yan Xue in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

A new sea surface temperature (SST) climatological mean was constructed using the first 30 years (1982–2011) of the NOAA daily optimum interpolation (OI) SST. The daily analysis blends in situ and satellite data on a ¼° (~25 km) spatial grid. Use of an analysis allows computation of a climatological value for all ocean grid points, even those without observations. Comparisons were made with a monthly, 1°-spatial-resolution climatology produced by the National Centers for Environmental Prediction, computed primarily from the NOAA weekly OISST. Both climatologies were found to provide a good representation of major oceanic features and the annual temperature cycle. However, the daily climatology showed tighter gradients along western boundary currents and better resolution along coastlines. The two climatologies differed by over 0.6°C in high-SST-gradient regions because of resolution differences. The two climatologies also differed at very high latitudes, where the sea ice processing differed between the OISST products. In persistently cloudy areas, the new climatology was generally cooler by approximately 0.4°C, probably reflecting differences between the input satellite SSTs to the two analyses. Since the new climatology represents mean conditions at scales that match the daily analysis, it would be more appropriate for computing the corresponding daily anomalies.

Corresponding author address: Viva F. Banzon, NOAA/NESDIS/NCDC, 151 Patton Ave., Asheville, NC 28801. E-mail: viva.banzon@noaa.gov

Abstract

A new sea surface temperature (SST) climatological mean was constructed using the first 30 years (1982–2011) of the NOAA daily optimum interpolation (OI) SST. The daily analysis blends in situ and satellite data on a ¼° (~25 km) spatial grid. Use of an analysis allows computation of a climatological value for all ocean grid points, even those without observations. Comparisons were made with a monthly, 1°-spatial-resolution climatology produced by the National Centers for Environmental Prediction, computed primarily from the NOAA weekly OISST. Both climatologies were found to provide a good representation of major oceanic features and the annual temperature cycle. However, the daily climatology showed tighter gradients along western boundary currents and better resolution along coastlines. The two climatologies differed by over 0.6°C in high-SST-gradient regions because of resolution differences. The two climatologies also differed at very high latitudes, where the sea ice processing differed between the OISST products. In persistently cloudy areas, the new climatology was generally cooler by approximately 0.4°C, probably reflecting differences between the input satellite SSTs to the two analyses. Since the new climatology represents mean conditions at scales that match the daily analysis, it would be more appropriate for computing the corresponding daily anomalies.

Corresponding author address: Viva F. Banzon, NOAA/NESDIS/NCDC, 151 Patton Ave., Asheville, NC 28801. E-mail: viva.banzon@noaa.gov
Save
  • Banzon, V. F., R. W. Reynolds, and T. M. Smith, 2010: The role of satellite data in extended reconstruction of sea surface temperatures. Proc. “Oceans from Space” Symp., Venice, Italy, Joint Research Center, European Commission, 27–28, doi:10.2788/8394.

  • Castro, S. L., G. A. Wick, and W. J. Emery, 2012: Evaluation of the relative performance of sea surface temperature measurements from different types of drifting and moored buoys using satellite-derived reference products. J. Geophys. Res., 117, C02029, doi:10.1029/2011JC007472.

    • Search Google Scholar
    • Export Citation
  • Kilpatrick, K. A., G. P. Podesta, and R. Evans, 2001: Overview of the NOAA/NASA Advanced Very High Resolution Radiometer Pathfinder algorithm for sea surface temperature and associated matchup database. J. Geophys. Res., 106, 91799198, doi:10.1029/1999JC000065.

    • Search Google Scholar
    • Export Citation
  • May, D. A., M. M. Parmeter, D. S. Olszewski, and B. D. McKenzie, 1998: Operational processing of satellite surface temperature retrievals at the Naval Oceanographic Office. Bull. Amer. Meteor. Soc., 79, 397407, doi:10.1175/1520-0477(1998)079<0397:OPOSSS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • O’Carroll, A. G., T. August, P. Le Borgne, and A. Marsouin, 2012: The accuracy of SST retrievals from Metop-A IASI and AVHRR using EUMETSAT OSI-SAF matchup dataset. Remote Sens. Environ., 126, 184194, doi:10.1016/j.rse.2012.08.006.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., 2009: What’s new in version 2. OISST web page, NOAA/NCDC. [Available online at www.ncdc.noaa.gov/sst/papers/oisst_daily_v02r00_version2-features.pdf.]

  • Reynolds, R. W., and D. B. Chelton, 2010: Comparisons of daily sea surface temperature analyses for 2007–08. J. Climate, 23, 35453562, doi:10.1175/2010JCLI3294.1.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 16091625, doi:10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., T. M. Smith, C. Liu, D. B. Chelton, K. S. Casey, and M. G. Schlax, 2007: Daily high-resolution blended analyses for sea surface temperature. J. Climate, 20, 54735496, doi:10.1175/2007JCLI1824.1.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., and R. W. Reynolds, 1998: A high resolution global sea surface temperature climatology for the 1961–90 base period. J. Climate, 11, 33203323, doi:10.1175/1520-0442(1998)011<3320:AHRGSS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., R. W. Reynolds, T. C. Peterson, and J. Lawrimore, 2008: Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006). J. Climate, 21, 22832296, doi:10.1175/2007JCLI2100.1.

    • Search Google Scholar
    • Export Citation
  • Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871–2000. J. Climate, 16, 16011612, doi:10.1175/1520-0442-16.10.1601.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 979 326 78
PDF Downloads 604 187 15