ACSIS Atlantic Ocean medium resolution SST dataset: Reconstructed 5‐day, ½‐degree, Atlantic Ocean SST (1950‐2014)

Simon David Paul Williams,David I Berry

doi:10.1002/gdj3.94

Abstract

AbstractA new dataset, the ACSIS Atlantic Ocean medium resolution SST dataset, is presented. This new dataset spans the period 1950–2014 at a 5‐day, ½‐degree resolution and covers the Atlantic Ocean. The dataset is based on in situ sea surface temperature (SST) observations from the International Comprehensive Ocean‐Atmosphere Data Set interpolated using Kriging to infill gaps and is available from the Centre for Environmental Data Analysis (CEDA) archive. Compared to existing datasets, the resolution is increased by a factor of 4 spatially and 6 temporally.

Highlights

The sea surface temperature (SST) is a key essential climate variable (ECV, e.g. Bojinski et al, 2014) and a key essential ocean variables (EOV, e.g. Lindstrom et al, 2012), with observations and datasets of the SST used in many studies
We describe a new SST dataset, making use of the increased sampling to produce an intermediate resolution dataset for the Atlantic
In addition to ICOADS R3.0, global daily-mean sea surface temperatures, presented on a 0.05° latitude–longitude grid, with gaps between available daily observations filled by statistical means, spanning 1981 to 2016 from the ESA SST CCI SST version 2.0 product (SST CCI analysis, Good et al, 2019; Merchant et al, 2019) have been used to define covariances between grid cells (Section 2.3), estimate the sampling uncertainty (Section 2.2) and define the climatology

Summary

Introduction

The sea surface temperature (SST) is a key essential climate variable (ECV, e.g. Bojinski et al, 2014) and a key essential ocean variables (EOV, e.g. Lindstrom et al, 2012), with observations and datasets of the SST used in many studies. The new dataset, ‘ACSIS Atlantic Ocean medium resolution SST dataset’, contains spatially interpolated estimates of the sea surface temperature on a 0.5° spatial grid, 5-day temporal resolution and spans the period 1950 – 2014.

Results

Conclusion