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GLOBathy, the global lakes bathymetry dataset.

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A new global bathymetric dataset (GLOBathy) provides crucial depth data for over 1.4 million waterbodies. This dataset enhances hydrological studies by offering detailed head-Area-Volume relationships for lakes and reservoirs worldwide.

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Area of Science:

  • Hydrology and limnology
  • Geospatial data science

Background:

  • Waterbodies are crucial for watershed hydrology, influencing river flows.
  • Understanding waterbody morphology, especially bathymetry, is key to studying their dynamics.
  • Lack of bathymetric data often oversimplifies waterbody behavior in scientific research.

Purpose of the Study:

  • To develop a novel global bathymetric dataset (GLOBathy) for over 1.4 million waterbodies.
  • To provide accurate head-Area-Volume (h-A-V) relationships for global waterbodies.
  • To support water balance and hydrological studies by addressing bathymetric data scarcity.

Main Methods:

  • Developed a GIS-based framework to generate bathymetric maps.
  • Utilized maximum depth estimates and HydroLAKES attributes for dataset creation.
  • Validated maximum depth estimates using 1,503 observed waterbodies.

Main Results:

  • Created the GLObal Bathymetric (GLOBathy) dataset covering 1.4+ million waterbodies.
  • Generated estimations for head-Area-Volume (h-A-V) relationships for HydroLAKES waterbodies.
  • Validated maximum depth estimates against multiple observed data sources.

Conclusions:

  • The GLOBathy dataset and derived h-A-V relationships significantly improve the understanding of global waterbody systems.
  • This resource addresses a critical data gap, enabling more accurate hydrological and water balance modeling.
  • Facilitates advanced research into waterbody dynamics and their impact on watershed hydrology.