Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
by
Messager, Mathis Loïc
, Lehner, Bernhard
, Grill, Günther
, Schmitt, Oliver
, Nedeva, Irena
in
704/242
/ 704/286
/ Biogeochemistry
/ Earth Sciences
/ Estimates
/ Explicit knowledge
/ Humanities and Social Sciences
/ Hydraulics
/ Hydrology
/ Lakes
/ Land area
/ Mathematical models
/ multidisciplinary
/ open climate campaign
/ River networks
/ Science
/ Science (multidisciplinary)
/ Sciences of the Universe
/ Shorelines
/ Statistical models
/ Surface area
2016
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
by
Messager, Mathis Loïc
, Lehner, Bernhard
, Grill, Günther
, Schmitt, Oliver
, Nedeva, Irena
in
704/242
/ 704/286
/ Biogeochemistry
/ Earth Sciences
/ Estimates
/ Explicit knowledge
/ Humanities and Social Sciences
/ Hydraulics
/ Hydrology
/ Lakes
/ Land area
/ Mathematical models
/ multidisciplinary
/ open climate campaign
/ River networks
/ Science
/ Science (multidisciplinary)
/ Sciences of the Universe
/ Shorelines
/ Statistical models
/ Surface area
2016
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
by
Messager, Mathis Loïc
, Lehner, Bernhard
, Grill, Günther
, Schmitt, Oliver
, Nedeva, Irena
in
704/242
/ 704/286
/ Biogeochemistry
/ Earth Sciences
/ Estimates
/ Explicit knowledge
/ Humanities and Social Sciences
/ Hydraulics
/ Hydrology
/ Lakes
/ Land area
/ Mathematical models
/ multidisciplinary
/ open climate campaign
/ River networks
/ Science
/ Science (multidisciplinary)
/ Sciences of the Universe
/ Shorelines
/ Statistical models
/ Surface area
2016
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
Journal Article
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
2016
Request Book From Autostore
and Choose the Collection Method
Overview
Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 10
6
km
2
(1.8% of global land area), a total shoreline length of 7.2 × 10
6
km (about four times longer than the world’s ocean coastline) and a total volume of 181.9 × 10
3
km
3
(0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively.
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
MBRLCatalogueRelatedBooks
This website uses cookies to ensure you get the best experience on our website.