Estimating the volume and age of water stored in global lakes using a geo-statistical approach

Lakes play a key role in our ecosystems and thus it is vital to understand their distribution and volume. Here, the authors present a new global lake database (HydroLAKES) and develop a new geo-statistical model to show global lake area, shoreline length, water volume and hydraulic residence times.

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Autores principales:	Mathis Loïc Messager, Bernhard Lehner, Günther Grill, Irena Nedeva, Oliver Schmitt
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a86ae6497cb34e39a05eab1abae1d2d6
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spelling	oai:doaj.org-article:a86ae6497cb34e39a05eab1abae1d2d62021-12-02T14:39:14ZEstimating the volume and age of water stored in global lakes using a geo-statistical approach10.1038/ncomms136032041-1723https://doaj.org/article/a86ae6497cb34e39a05eab1abae1d2d62016-12-01T00:00:00Zhttps://doi.org/10.1038/ncomms13603https://doaj.org/toc/2041-1723Lakes play a key role in our ecosystems and thus it is vital to understand their distribution and volume. Here, the authors present a new global lake database (HydroLAKES) and develop a new geo-statistical model to show global lake area, shoreline length, water volume and hydraulic residence times.Mathis Loïc MessagerBernhard LehnerGünther GrillIrena NedevaOliver SchmittNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mathis Loïc Messager Bernhard Lehner Günther Grill Irena Nedeva Oliver Schmitt Estimating the volume and age of water stored in global lakes using a geo-statistical approach
description	Lakes play a key role in our ecosystems and thus it is vital to understand their distribution and volume. Here, the authors present a new global lake database (HydroLAKES) and develop a new geo-statistical model to show global lake area, shoreline length, water volume and hydraulic residence times.
format	article
author	Mathis Loïc Messager Bernhard Lehner Günther Grill Irena Nedeva Oliver Schmitt
author_facet	Mathis Loïc Messager Bernhard Lehner Günther Grill Irena Nedeva Oliver Schmitt
author_sort	Mathis Loïc Messager
title	Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_short	Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_full	Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_fullStr	Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_full_unstemmed	Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_sort	estimating the volume and age of water stored in global lakes using a geo-statistical approach
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/a86ae6497cb34e39a05eab1abae1d2d6
work_keys_str_mv	AT mathisloicmessager estimatingthevolumeandageofwaterstoredingloballakesusingageostatisticalapproach AT bernhardlehner estimatingthevolumeandageofwaterstoredingloballakesusingageostatisticalapproach AT gunthergrill estimatingthevolumeandageofwaterstoredingloballakesusingageostatisticalapproach AT irenanedeva estimatingthevolumeandageofwaterstoredingloballakesusingageostatisticalapproach AT oliverschmitt estimatingthevolumeandageofwaterstoredingloballakesusingageostatisticalapproach
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Estimating the volume and age of water stored in global lakes using a geo-statistical approach

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