The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

photo of Zheng Duan on Lund webpage

Zheng Duan

Senior lecturer

photo of Zheng Duan on Lund webpage

Development of a new spatially complete and daily continuous lake surface water temperature dataset for Lake Vänern by fusing satellite and reanalysis products

Author

  • Anna Schultze
  • Martin Berggren
  • Zheng Duan

Summary, in English

Study region: Lake Vänern, the largest lake in the European Union, located in Sweden. Study focus: The study aimed to develop a spatially complete and temporally continuous lake surface water temperature (LSWT) dataset by fusing satellite remote sensing data with reanalysis products. Five satellite-derived LSWT products, including the Moderate Resolution Imaging Spectroradiometer (MODIS), were evaluated against in-situ measurements. The reanalysis product ERA5-Land, offering hourly LSWT at a spatial resolution of 0.1°, was fused with the MODIS LSWT product using the Enhanced Spatial and Temporal Adaptive Reflectance Model (ESTARFM). ESTARFM combines high spatial but low temporal resolution data with products of low spatial but high temporal resolution. New hydrological insights for the region: This study demonstrates the effectiveness of data fusion in generating accurate and continuous LSWT datasets for large lakes. The fused LSWT product achieved a mean absolute error of 1.53 °C and R² of 0.86, showing comparable accuracy to ERA5-Land data. While a bias-correction approach was tested, results indicated that seasonal adjustments may be more effective. The fused dataset captured spatial and temporal variations in LSWT, aligning well with in-situ measurements and existing datasets. This approach enables improved LSWT monitoring and provides a valuable tool for studying ecological changes in lakes driven by climate change. The method can be applied to other large lakes with suitable datasets, supporting regional and global hydrological studies.

Department/s

  • GeoBiosphere Science Centre administrative unit
  • Dept of Physical Geography and Ecosystem Science
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • MERGE: ModElling the Regional and Global Earth system

Publishing year

2025-06

Language

English

Publication/Series

Journal of Hydrology: Regional Studies

Volume

59

Document type

Journal article

Publisher

Elsevier

Topic

  • Oceanography, Hydrology and Water Resources

Keywords

  • Data fusion
  • Inland water
  • Lake surface water temperature
  • Reanalysis product
  • Remote sensing

Status

Published

ISBN/ISSN/Other

  • ISSN: 2214-5818