Tracking global large lake surface temperature variation from space using MODIS land surface temperature product
Water temperature monitoring plays a crucial role in the ecological functioning and biogeochemical cycling of aquatic ecosystems. Compared to conventional methods, satellite remote sensing provides a more efficient way to assess lake surface water temperature (LSWT) variations, particularly for large, remote water bodies. In this study, MODIS Land Surface Temperature (LST) product Level 3 (MOD11A2) is employed to analyze the spatiotemporal changes in LST for global inland water bodies with areas exceeding 25 km 2 . This research aims to understand LSWT variations and identify the contributing factors. The findings indicate that during the nighttime, LSWT in different lakes ranges from −11 °C to 26 °C, while diurnal temperature differences (DTDs) range from 1.3 °C to 16.9 °C. Factors such as lake depth, surface area (or volume), altitude, geographical location, and water supply sources are shown to influence LSWT variations. This study addresses the gap in long-term LSWT research for lakes larger than 25 km 2 worldwide, providing valuable insights into the mechanisms driving LSWT changes in similar lake systems. • Global LSWT pattern with lake surface area > 25 km 2 were assessed with MODIS LST. • Analysis of LSWT variations and driving mechanism at multiple scales. • Air temperature is the most significant factor affecting the changes in LSWT.
Authors
- Zhongqiu Sun (ORCID: https://orcid.org/0000-0001-7722-3809)
- Kaishan Song (ORCID: https://orcid.org/0000-0001-9996-2450)
- Jia Du (ORCID: https://orcid.org/0000-0003-3590-6358)
- Boyu Zhao (ORCID: https://orcid.org/0000-0002-2521-2443)
- Min Wang (ORCID: https://orcid.org/0000-0003-4839-0688)
Institutions
- Northeast Normal University (CN)
- Chinese Academy of Sciences (CN)
- Northeast Institute of Geography and Agroecology (CN)
Publication Details
- Journal
- Ecological Informatics
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1016/j.ecoinf.2025.103184
- Citations
- 3
- Primary Topic
- Arctic and Antarctic ice dynamics
- Type
- article
- Field-Weighted Citation Impact
- 3.90
Funders
- National Natural Science Foundation of China