Preprints
https://doi.org/10.5194/essd-2022-266
https://doi.org/10.5194/essd-2022-266
 
13 Sep 2022
13 Sep 2022
Status: this preprint is currently under review for the journal ESSD.

GloLakes: a database of global lake water storage dynamics from 1984 to present derived using laser and radar altimetry and optical remote sensing

Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo, and Pablo R. Larraondo Jiawei Hou et al.
  • Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia

Abstract. Measurements of the spatiotemporal dynamics of lake and reservoir water storage are fundamental in the assessment of the influence of climate variability and anthropogenic activities on water quantity and quality, as well as wetland ecology and the estimating greenhouse gas emissions from lakes. Previous studies estimated relative water volume changes for lakes where both satellite-derived extent and radar altimetry data are available. This approach is limited to only few hundreds of lakes worldwide. In this study, the number of measured lakes was increased by a factor 400 using high-resolution Landsat and Sentinel-2 optical remote sensing and ICESat-2 laser altimetry in addition to radar altimetry from the Topex/Poseidon, Jason-1, -2 and -3, and Sentinel-3 instruments. Time series of relative (i.e., storage change) or absolute (i.e., total stored volume) storage for more than 170,000 lakes globally with a surface area of at least 1 km2 (representing 99 % of the total volume of all water stored in lakes and reservoirs globally) were retrieved. Within these, we were able to develop an automated workflow for near real-time global lake monitoring of more than 27,000 lakes. The historical and near real-time lake storage dynamics data for 1984 to current are publicly available through https://doi.org/10.25914/K8ZF-6G46 (Hou et al., 2022).

Jiawei Hou et al.

Status: open (until 08 Nov 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jiawei Hou et al.

Data sets

GloLakes: Global historical and near real-time lake storage dynamics from 1984-present Jiawei Hou, Albert I. J. M. Van Dijk, Luigi J. Renzullo and Pablo R. Larraondo https://doi.org/10.25914/K8ZF-6G46

Jiawei Hou et al.

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Short summary
The GloLakes dataset provides historical and near real-time time series of relative (i.e., storage change) and absolute (i.e., total stored volume) storage for more than 27,000 lakes worldwide using multiple sources of satellite data, including laser and radar altimetry and optical remote sensing. This data can help us understand the influence of climate variability and anthropogenic activities on water availability and system ecology over the last four decades.