An Arctic Ocean Thermohaline Dataset

Using in situ observational data is an important way to study the Arctic environment. However, due to the high-latitude seasonal variation, in situ observations in this region are relatively sparse. To maximize the use of in situ observations, we assemble an Arctic Ocean thermohaline dataset (AOTD) including 414221 available temperature and salinity profiles for the period 1983-2023, with observations from the Chinese Arctic Research Expedition and public data from other databases and observations plans such as the International Polar Year. Also, a unified quality control method is discussed, and strict quality control is applied to these profiles. A gridded dataset of climatological monthly mean temperature, salinity, and Ocean Heat Content derived from an objective analysis of profiles is also presented. The climatology has a horizontal resolution of 0.25° × 0.25°, with 57 vertical layers spanning the 0-1500 m depth range, can help us better understand the Arctic Ocean. AOTD climatology offers importance for the research on thermodynamic processes, spatial and temporal variability of water masses, and oceanic structures in the Arctic Ocean.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-09-30
DOI
https://doi.org/10.1038/s41597-025-05855-3
Citations
1
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Arctic Ocean Thermohaline Dataset

Xiangyu Wu, Xidong Wang, Jinlong Li
1 citations
Scientific Data
Arctic and Antarctic ice dynamics
1.30
article

An Arctic Ocean Thermohaline Dataset

Xiangyu Wu, Xidong Wang, Jinlong Li
article en
1 citations

Abstract

Using in situ observational data is an important way to study the Arctic environment. However, due to the high-latitude seasonal variation, in situ observations in this region are relatively sparse. To maximize the use of in situ observations, we assemble an Arctic Ocean thermohaline dataset (AOTD) including 414221 available temperature and salinity profiles for the period 1983-2023, with observations from the Chinese Arctic Research Expedition and public data from other databases and observations plans such as the International Polar Year. Also, a unified quality control method is discussed, and strict quality control is applied to these profiles. A gridded dataset of climatological monthly mean temperature, salinity, and Ocean Heat Content derived from an objective analysis of profiles is also presented. The climatology has a horizontal resolution of 0.25° × 0.25°, with 57 vertical layers spanning the 0-1500 m depth range, can help us better understand the Arctic Ocean. AOTD climatology offers importance for the research on thermodynamic processes, spatial and temporal variability of water masses, and oceanic structures in the Arctic Ocean.

Scientific DataVol. 12(1)
Hohai University (CN), National Marine Environmental Forecasting Center (CN), Nanjing University (CN)
Openalex Percentile: Top 18%
Arctic and Antarctic ice dynamics
1.30
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.

An Arctic Ocean Thermohaline Dataset — Xiangyu Wu, Xidong Wang, et al. · Scientific Data (2025) | TGRS Research Map | TGRS