1 FEBRUARY 2015 | BOYIN HUANG, VIVA F. BANZON, ERIC FREEMAN, JAY LAWRIMORE, WEI LIU, THOMAS C. PETERSON, THOMAS M. SMITH, PETER W. THORNE, SCOTT D. WOODRUFF, HUAI-MIN ZHANG
The paper presents the revisions and upgrades made to the Extended Reconstructed Sea Surface Temperature (ERSST) dataset, specifically from version 3b to version 4 (v4). The major revisions include updated input data from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) release 2.5, revised empirical orthogonal teleconnections (EOTs) and their acceptance criteria, updated sea surface temperature (SST) quality control procedures, revised SST anomaly (SSTA) evaluation methods, and updated bias adjustments of ship SSTs using the Hadley Centre Nighttime Marine Air Temperature dataset version 2 (HadNMAT2). The impact of these revisions is highlighted, particularly the significant changes in SST bias adjustments, which affect the temperature trends in different regions. The comparisons with other SST products, such as HadSST3 and COBE-SST2, show that ERSST.v4 provides more accurate representations of El Niño/La Niña events and long-term SST trends. The paper also discusses the methodology, datasets used, and the impact assessment of the upgrades on the ERSST.v4 SSTA.The paper presents the revisions and upgrades made to the Extended Reconstructed Sea Surface Temperature (ERSST) dataset, specifically from version 3b to version 4 (v4). The major revisions include updated input data from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) release 2.5, revised empirical orthogonal teleconnections (EOTs) and their acceptance criteria, updated sea surface temperature (SST) quality control procedures, revised SST anomaly (SSTA) evaluation methods, and updated bias adjustments of ship SSTs using the Hadley Centre Nighttime Marine Air Temperature dataset version 2 (HadNMAT2). The impact of these revisions is highlighted, particularly the significant changes in SST bias adjustments, which affect the temperature trends in different regions. The comparisons with other SST products, such as HadSST3 and COBE-SST2, show that ERSST.v4 provides more accurate representations of El Niño/La Niña events and long-term SST trends. The paper also discusses the methodology, datasets used, and the impact assessment of the upgrades on the ERSST.v4 SSTA.