Long-term sea surface temperature time series from Malin Head, Ireland

Abstract. A 67-year, ongoing Sea Surface Temperature time series from Malin Head, in the north of Ireland, has been developed from data collected by Met Éireann and the Marine Institute. Over the course of the time-series, multiple measurement methodologies, sampling frequencies, and sub-site positions have been used for different periods. Resulting from this, two separate datasets have been created and publicised for usage, the quality controlled full-resolution measurement dataset (https://doi.org/10.20393/85D35444-2FB3-4791-A977-AE29BB3B3CFC, Marine Institute, 2025b), and a standardised daily average dataset (https://doi.org/10.20393/314DE8E2-79F0-4D36-B2BE-EE2A7E5590E2 Marine Institute, 2025a), the latter of which has undergone various processing steps, including removal of a diurnal signal. The standardised dataset creates and will continue a valuable, longstanding continuous time series which allows for more simplified long-term trend analysis compared with observation collections, which differ in measurement types and frequencies. The Malin Head sea surface temperature data, alongside a co-located tide gauge dataset are instrumental in understanding coastal ocean climate change in the region. Both datasets included are made available through the Marine Institute's Data Catalogue, have been assigned DOIs, and are made available from the Marine Institute's ERDDAP service.

Authors

Institutions

Publication Details

Journal
Earth system science data
Published
2026-01-13
DOI
https://doi.org/10.5194/essd-18-333-2026
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-term sea surface temperature time series from Malin Head, Ireland

Eoghan Daly, Guy Westbrook, Sarah Daves, Glenn Nolan et al.
Earth system science data
Oceanographic and Atmospheric Processes
article

Long-term sea surface temperature time series from Malin Head, Ireland

Eoghan Daly, Guy Westbrook, Sarah Daves, Glenn Nolan, Rob Thomas
article en

Abstract

Abstract. A 67-year, ongoing Sea Surface Temperature time series from Malin Head, in the north of Ireland, has been developed from data collected by Met Éireann and the Marine Institute. Over the course of the time-series, multiple measurement methodologies, sampling frequencies, and sub-site positions have been used for different periods. Resulting from this, two separate datasets have been created and publicised for usage, the quality controlled full-resolution measurement dataset (https://doi.org/10.20393/85D35444-2FB3-4791-A977-AE29BB3B3CFC, Marine Institute, 2025b), and a standardised daily average dataset (https://doi.org/10.20393/314DE8E2-79F0-4D36-B2BE-EE2A7E5590E2 Marine Institute, 2025a), the latter of which has undergone various processing steps, including removal of a diurnal signal. The standardised dataset creates and will continue a valuable, longstanding continuous time series which allows for more simplified long-term trend analysis compared with observation collections, which differ in measurement types and frequencies. The Malin Head sea surface temperature data, alongside a co-located tide gauge dataset are instrumental in understanding coastal ocean climate change in the region. Both datasets included are made available through the Marine Institute's Data Catalogue, have been assigned DOIs, and are made available from the Marine Institute's ERDDAP service.

Earth system science dataVol. 18(1)
Marine Institute (IE)
Department of Agriculture, Food and the Marine, Ireland
Life below water
Openalex Percentile: Top 90%
Oceanographic and Atmospheric Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.