Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4). Part I: Upgrades and Intercomparisons

Boyin Huang * National Climatic Data Center, Asheville, North Carolina

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Viva F. Banzon * National Climatic Data Center, Asheville, North Carolina

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Eric Freeman National Climatic Data Center, Asheville, North Carolina, and STG, Inc., Reston, Virginia

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Jay Lawrimore * National Climatic Data Center, Asheville, North Carolina

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Wei Liu National Climatic Data Center, Asheville, and Cooperative Institute for Climate and Satellites, Raleigh, North Carolina

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Thomas C. Peterson * National Climatic Data Center, Asheville, North Carolina

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Thomas M. Smith NOAA/STAR/SCSB, and CICS/ESSIC, University of Maryland, College Park, College Park, Maryland

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Peter W. Thorne Nansen Environmental and Remote Sensing Center, Bergen, Norway

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Scott D. Woodruff ** National Climatic Data Center, Asheville, North Carolina, and Cooperative Institute for Research in Environmental Sciences, Boulder, Colorado

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Huai-Min Zhang * National Climatic Data Center, Asheville, North Carolina

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Abstract

The monthly Extended Reconstructed Sea Surface Temperature (ERSST) dataset, available on global 2° × 2° grids, has been revised herein to version 4 (v4) from v3b. Major revisions include updated and substantially more complete input data from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) release 2.5; revised empirical orthogonal teleconnections (EOTs) and EOT acceptance criterion; updated sea surface temperature (SST) quality control procedures; revised SST anomaly (SSTA) evaluation methods; updated bias adjustments of ship SSTs using the Hadley Centre Nighttime Marine Air Temperature dataset version 2 (HadNMAT2); and buoy SST bias adjustment not previously made in v3b.

Tests show that the impacts of the revisions to ship SST bias adjustment in ERSST.v4 are dominant among all revisions and updates. The effect is to make SST 0.1°–0.2°C cooler north of 30°S but 0.1°–0.2°C warmer south of 30°S in ERSST.v4 than in ERSST.v3b before 1940. In comparison with the Met Office SST product [the Hadley Centre Sea Surface Temperature dataset, version 3 (HadSST3)], the ship SST bias adjustment in ERSST.v4 is 0.1°–0.2°C cooler in the tropics but 0.1°–0.2°C warmer in the midlatitude oceans both before 1940 and from 1945 to 1970. Comparisons highlight differences in long-term SST trends and SSTA variations at decadal time scales among ERSST.v4, ERSST.v3b, HadSST3, and Centennial Observation-Based Estimates of SST version 2 (COBE-SST2), which is largely associated with the difference of bias adjustments in these SST products. The tests also show that, when compared with v3b, SSTAs in ERSST.v4 can substantially better represent the El Niño/La Niña behavior when observations are sparse before 1940. Comparisons indicate that SSTs in ERSST.v4 are as close to satellite-based observations as other similar SST analyses.

Corresponding author address: Boyin Huang, 151 Patton Ave., National Climatic Data Center, Asheville, NC 28801. E-mail: boyin.huang@noaa.gov

Abstract

The monthly Extended Reconstructed Sea Surface Temperature (ERSST) dataset, available on global 2° × 2° grids, has been revised herein to version 4 (v4) from v3b. Major revisions include updated and substantially more complete input data from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) release 2.5; revised empirical orthogonal teleconnections (EOTs) and EOT acceptance criterion; updated sea surface temperature (SST) quality control procedures; revised SST anomaly (SSTA) evaluation methods; updated bias adjustments of ship SSTs using the Hadley Centre Nighttime Marine Air Temperature dataset version 2 (HadNMAT2); and buoy SST bias adjustment not previously made in v3b.

Tests show that the impacts of the revisions to ship SST bias adjustment in ERSST.v4 are dominant among all revisions and updates. The effect is to make SST 0.1°–0.2°C cooler north of 30°S but 0.1°–0.2°C warmer south of 30°S in ERSST.v4 than in ERSST.v3b before 1940. In comparison with the Met Office SST product [the Hadley Centre Sea Surface Temperature dataset, version 3 (HadSST3)], the ship SST bias adjustment in ERSST.v4 is 0.1°–0.2°C cooler in the tropics but 0.1°–0.2°C warmer in the midlatitude oceans both before 1940 and from 1945 to 1970. Comparisons highlight differences in long-term SST trends and SSTA variations at decadal time scales among ERSST.v4, ERSST.v3b, HadSST3, and Centennial Observation-Based Estimates of SST version 2 (COBE-SST2), which is largely associated with the difference of bias adjustments in these SST products. The tests also show that, when compared with v3b, SSTAs in ERSST.v4 can substantially better represent the El Niño/La Niña behavior when observations are sparse before 1940. Comparisons indicate that SSTs in ERSST.v4 are as close to satellite-based observations as other similar SST analyses.

Corresponding author address: Boyin Huang, 151 Patton Ave., National Climatic Data Center, Asheville, NC 28801. E-mail: boyin.huang@noaa.gov
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  • 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,” Venice, Italy, European Commission, 27–28, doi:10.2788/8394.

  • Cleveland, W. S., 1981: LOWESS: A program for smoothing scatterplots by robust locally weighted regression. Amer. Stat., 35, 5465, doi:10.2307/2683591.

    • Search Google Scholar
    • Export Citation
  • Delworth, T. L., and Coauthors, 2006: GFDL’s CM2 global coupled climate models. Part I: Formulation and simulation characteristics. J. Climate, 19, 643674, doi:10.1175/JCLI3629.1.

    • Search Google Scholar
    • Export Citation
  • Enfield, D. B., A. M. Mestas-Nuñez, and P. J. Trimble, 2001: The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental U.S. Geophys. Res. Lett., 28, 20772080, doi:10.1029/2000GL012745.

    • Search Google Scholar
    • Export Citation
  • Folland, C. K., and D. E. Parker, 1995: Correction of instrumental biases in historical sea surface temperature data. Quart. J. Roy. Meteor. Soc., 121, 319367, doi:10.1002/qj.49712152206.

    • Search Google Scholar
    • Export Citation
  • Gregg, M. C., and M. L. Newlin, 2012: Global oceans [in “State of the Climate in 2011”].Bull. Amer. Meteor. Soc., 93, S57S92.

  • Grumbine, R. W., 1996: Automated passive microwave sea ice concentration analysis at NCEP. NOAA Tech. Note 120, 13 pp. [Available from NCEP/NWS/NOAA, 9802 51th Ave. College Park, MD 20740.]

  • Hartmann, D. L., and Coauthors, 2014: Observations: Atmosphere and surface. Climate Change 2013: The Physical Science Basis, T. F. Stocker et al., Eds., Cambridge University Press, 159–254.

  • Hirahara, S., M. Ishii, and Y. Fukuda, 2014: Centennial-scale sea surface temperature analysis and its uncertainty. J. Climate, 27, 5775, doi:10.1175/JCLI-D-12-00837.1.

    • Search Google Scholar
    • Export Citation
  • Hurrell, J. W., and K. E. Trenberth, 1999: Global sea surface temperature analyses: Multiple problems and their implications for climate analysis, modeling, and reanalysis. Bull. Amer. Meteor. Soc., 80, 26612678, doi:10.1175/1520-0477(1999)080<2661:GSSTAM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Ishii, M., A. Shouji, S. Sugimoto, and T. Matsumoto, 2005: Objective analyses of sea-surface temperature and marine meteorological variables for the 20th century using ICOADS and the Kobe Collection. Int. J. Climatol., 25, 865879, doi:10.1002/joc.1169.

    • Search Google Scholar
    • Export Citation
  • Kaplan, A., M. A. Cane, Y. Kushnir, A. C. Clement, M. B. Blumenthal, and B. Rajagopalan, 1998: Analyses of global sea surface temperature 1856–1991. J. Geophys. Res., 103, 18 56718 589, doi:10.1029/97JC01736.

    • Search Google Scholar
    • Export Citation
  • Kennedy, J. J., N. A. Rayner, R. O. Smith, D. E. Parker, and M. Saunby, 2011: Reassessing biases and other uncertainties in sea surface temperature observations measured in situ since 1850: 2. Biases and homogenization. J. Geophys. Res., 116, D14104, doi:10.1029/2010JD015220.

    • Search Google Scholar
    • Export Citation
  • Kent, E. C., and A. Kaplan, 2006: Toward estimating climatic trends in SST. Part III: Systematic biases. J. Atmos. Oceanic Technol., 23, 487500, doi:10.1175/JTECH1845.1.

    • Search Google Scholar
    • Export Citation
  • Kent, E. C., S. D. Woodruff, and D. I. Berry, 2007: Metadata from WMO Publication No. 47 and an assessment of voluntary observing ship observation heights in ICOADS. J. Atmos. Oceanic Technol., 24, 214234, doi:10.1175/JTECH1949.1.

    • Search Google Scholar
    • Export Citation
  • Kent, E. C., J. J. Kennedy, D. I. Berry, and R. O. Smith, 2010: Effects of instrumentation changes on sea surface temperature measured in situ. Climatic Change, 1, 718728, doi:10.1002/wcc.55.

    • Search Google Scholar
    • Export Citation
  • Kent, E. C., N. A. Rayner, D. I. Berry, M. Saunby, B. I. Moat, J. J. Kennedy, and D. E. Parker, 2013: Global analysis of night marine air temperature and its uncertainty since 1880: The HadNMAT2 data set. J. Geophys. Res. Atmos., 118, 12811298, doi:10.1002/jgrd.50152.

    • Search Google Scholar
    • Export Citation
  • Latif, M., and T. P. Barnett, 1994: Causes of decadal climate variability over the North Pacific and North America. Science, 266, 634637, doi:10.1126/science.266.5185.634.

    • Search Google Scholar
    • Export Citation
  • Liu, W., and Coauthors, 2015: Extended Reconstructed Sea Surface Temperature version 4 (ERSST.v4). Part II: Parametric and structural uncertainty estimation. J. Climate, 28, 931951, doi:10.1175/JCLI-D-14-00007.1.

    • Search Google Scholar
    • Export Citation
  • Merchant, C. J., and Coauthors, 2012: A 20 year independent record of sea surface temperature for climate from Along-Track Scanning Radiometers. J. Geophys. Res., 117, C12013, doi:10.1029/2012JC008400.

    • Search Google Scholar
    • Export Citation
  • Parker, D. E., P. D. Jones, A. Bevan, and C. K. Folland, 1994: Interdecadal changes of surface temperature since the late 19th century. J. Geophys. Res., 99, 14 37314 399, doi:10.1029/94JD00548.

    • Search Google Scholar
    • Export Citation
  • Philander, S. G., 1990: El Niño, La Niña, and the Southern Oscillation. Academic Press, 293 pp.

  • Press, W. H., B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, 1992: LU decomposition and its applications. Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed., Cambridge University Press, 34–42.

  • Rayner, N. A., D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan, 2003: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108, 4407, doi:10.1029/2002JD002670.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., and T. M. Smith, 1994: Improved global sea surface temperature analyses using optimum interpolation. J. Climate, 7, 929948, doi:10.1175/1520-0442(1994)007<0929:IGSSTA>2.0.CO;2.

    • 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., C. L. Gentemann, and G. K. Corlett, 2010: Evaluation of AATSR and TMI satellite SST data. J. Climate, 23, 152165, doi:10.1175/2009JCLI3252.1.

    • Search Google Scholar
    • Export Citation
  • Saji, N. H., B. N. Goswami, P. N. Vinayachandran, and T. Yamagata, 1999: A dipole mode in the tropical Indian Ocean. Nature, 401, 360363.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., and R. W. Reynolds, 2002: Bias adjustments for historical sea surface temperatures based on marine air temperatures. J. Climate, 15, 7387, doi:10.1175/1520-0442(2002)015<0073:BCFHSS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., and R. W. Reynolds, 2003: Extended reconstruction of global sea surface temperature based on COADS data (1854–1997). J. Climate, 16, 14951510, doi:10.1175/1520-0442-16.10.1495.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., and R. W. Reynolds, 2004: Improved extended reconstruction of SST (1854–1997). J. Climate, 17, 24662477, doi:10.1175/1520-0442(2004)017<2466:IEROS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Smith, T. M., R. W. Reynolds, R. E. Livezey, and D. C. Stokes, 1996: Reconstruction of historical sea surface temperatures using empirical orthogonal functions. J. Climate, 9, 14031420, doi:10.1175/1520-0442(1996)009<1403:ROHSST>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
  • Stocker, T. F., and Coauthors, Eds., 2014: Climate Change 2013: The Physical Science Basis. Cambridge University Press, 1535 pp.

  • Thompson, D. W. J., J. J. Kennedy, J. M. Wallace, and P. D. Jones, 2008: A large discontinuity in the mid-20th century in observed global-mean surface temperature. Nature, 453, 646649, doi:10.1038/nature06982.

    • Search Google Scholar
    • Export Citation
  • Trenberth, K. E., 1984: Signal versus noise in the Southern Oscillation. Mon. Wea. Rev., 112, 326332, doi:10.1175/1520-0493(1984)112<0326:SVNITS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • van den Dool, H. M., S. Saha, and A. Johansson, 2000: Empirical orthogonal teleconnections. J. Climate, 13, 14211435, doi:10.1175/1520-0442(2000)013<1421:EOT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • von Storch, H., and F. W. Zwiers, 1999: Statistical Analysis in Climate Research. Cambridge University Press, 484 pp.

  • Woodruff, S. D., R. Slutz, R. Jenne, and P. Steurer, 1987: A comprehensive ocean–atmosphere data set. Bull. Amer. Meteor. Soc., 68, 12391250, doi:10.1175/1520-0477(1987)068<1239:ACOADS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Woodruff, S. D., H. F. Diaz, E. C. Kent, R. W. Reynolds, and S. J. Worley, 2008: The evolving SST record from ICOADS. Climate Variability and Extremes during the Past 100 Years, S. Brönnimann et al., Eds., Advances in Global Change Research Series, Vol. 33, Springer, 65–83, doi:10.1007/978-1-4020-6766-2_4.

  • Woodruff, S. D., and Coauthors, 2011: ICOADS release 2.5: Extensions and enhancements to the surface marine meteorological archive. Int. J. Climatol., 31, 951967, doi:10.1002/joc.2103.

    • Search Google Scholar
    • Export Citation
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