Abstract
Abstract. Lakes affect local weather and climate. This influence should be taken into account in NWP models through parameterization. For the atmospheric simulation, global coverage of lake depth data is essential. To provide such data Global Lake Database (GLDB) has been created. GLDB contains information about lake location (latitude, longitude), water surface area, and lake mean and max depths. The mean depth is provided as a gridded data set.
Highlights
According with the latest research in the world there are ∼ 117 million lakes with an area of more than 0.002 km2
GLDBv3 contains in situ information about 14 960 lakes and consists of several data sources: lists of lakes with in situ data, indirect depth estimates, global lake cover and digitized bathymetry
New in situ data is collected from different sources: Limnology institute global database (St.-Petersburg, Russia), Global Reservoir and Dam Database (GRanD), national databases with open access
Summary
According with the latest research in the world there are ∼ 117 million lakes with an area of more than 0.002 km. To take into account lake influence in NWP models GLDBv1 has been developed (Kourzeneva et al, 2009, 2012) It contained in situ lake mean depth gridded data and includes slightly more than 13 000 lakes. GLDBv3 contains in situ information about 14 960 lakes and consists of several data sources: lists of lakes with in situ data, indirect depth estimates, global lake cover and digitized bathymetry. This third version of GLDB is a global lake depth data set with in situ and estimated values on the ∼ 1 km grid
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