the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Increasing seasonal variation in the extent of rivers and lakes from 1984 to 2022
Roger Sayre
Elco Luijendijk
Abstract. Knowledge of the spatial and temporal distribution of surface water is important for water resource management, flood risk assessment, monitoring ecosystem health, constraining estimates of biogeochemical cycles and understanding our climate. While global scale spatial-temporal change detection of surface water has significantly improved in recent years with planetary scale remote sensing and computing, it has remained challenging to distinguish the changing characteristics of rivers and lakes. Here we analyze the spatial extent of permanent and seasonal rivers and lakes globally over the past 38-years based on new data of river system extents and surface water trends. Results show that while the total permanent surface area of both rivers and lakes has remained relatively constant, the area with intermittent seasonal coverage has increased by 12 % and 27 % for rivers and lakes, respectively. The increase is statistically significant in over 84 % of global water catchments based on Spearman rank correlations above 0.05 and p values less than 0.05. The results of our analysis are shared as the Surface Area of Rivers and Lakes (SARL) database, which contributes to improved understanding of the hydrological cycle and management of water resources.
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Björn Nyberg et al.
Status: open (until 31 Dec 2023)
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RC1: 'Comment on egusphere-2023-2147', Anonymous Referee #1, 28 Nov 2023
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Surface water area plays an important role in ecosystems, the carbon cycle, flood and drought risks, and water resource management. Global surface water datasets built on moderate resolution satellite imagery (e.g., Landsat with 30-m, 16-day resolutions) have been developed, but they do not differentiate types of surface water bodies. The authors created a new dataset of the surface area of rivers and lakes (SARL) with seasonal and permanent surface water data for each year from 1984-2022. They developed this new dataset by combining data from the Global Surface Water dataset (Pekel et al., 2016) and from the global extent of river channel belts dataset (Nyberg et a., 2023). They were also able to assess changes from 1984 to 2022 in permanent and seasonal surface water areas in watersheds across the globe. They found seasonal surface water area had increased for both rivers and lakes, while the global total permanent surface water area was relatively unchanged. This dataset, showing where and when there are changes in lake and river permanent and seasonal surface water areas, can be helpful for water resource management. Such management practices are used to help limit the adverse impacts of extreme events such as floods and droughts, which are becoming more common due to climate change. The SARL dataset can help identify changes in the seasonality or permanence of surface water areas of key stormwater or drinking water reservoirs and help inform decision making about these water bodies in the future. For detailed comments, please see the PDF attached.
Björn Nyberg et al.
Data sets
Surface Area of Rivers and Lakes (SARL) database Björn Nyberg https://zenodo.org/record/6895820
Björn Nyberg et al.
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