Data from: Increasing dependence of lowland populations on mountain water resources

Mountain areas provide disproportionally high runoff in many parts of the world, and here we quantify for the first time their importance for water resources and food production from the viewpoint of the lowland areas downstream. The dataset maps the degree to which lowland areas potentially depend...

Full description

Bibliographic Details
Main Authors: Viviroli, Daniel, Kummu, Matti, Meybeck, Michel, Kallio, Marko, Wada, Yoshihide
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.ns1rn8pnt
http://datadryad.org/stash/dataset/doi:10.5061/dryad.ns1rn8pnt
id ftdatacite:10.5061/dryad.ns1rn8pnt
record_format openpolar
spelling ftdatacite:10.5061/dryad.ns1rn8pnt 2023-05-15T13:38:17+02:00 Data from: Increasing dependence of lowland populations on mountain water resources Viviroli, Daniel Kummu, Matti Meybeck, Michel Kallio, Marko Wada, Yoshihide 2019 https://dx.doi.org/10.5061/dryad.ns1rn8pnt http://datadryad.org/stash/dataset/doi:10.5061/dryad.ns1rn8pnt en eng Dryad https://dx.doi.org/10.1038/s41893-020-0559-9 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 water resources Mountain areas lowland areas water towers Projections Anthropocene highland-lowland systems dataset Dataset 2019 ftdatacite https://doi.org/10.5061/dryad.ns1rn8pnt https://doi.org/10.1038/s41893-020-0559-9 2022-02-08T12:55:18Z Mountain areas provide disproportionally high runoff in many parts of the world, and here we quantify for the first time their importance for water resources and food production from the viewpoint of the lowland areas downstream. The dataset maps the degree to which lowland areas potentially depend on runoff contributions from mountain areas (39% of land mass) between the 1960s and the 2040s. : Water resources index W quantifies the potential dependence of the world's lowland areas on water resources originating in mountain areas upstream. The data cover the timeframe from the 1960s (1961–1970) to the 2040s (2041–2050) in decadal steps. Data for projections from the 2010s onwards are available for three scenario pathways (SSP1-RCP4.5, SSP2-RCP6.0, SSP3-RCP6.0) and show median results from 5 CMIP5 GCMs (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, NorESM1‑M). The files are GeoTIFF formatted and in a regular raster of 5’×5’ (arc minutes in WGS 1984 coordinate system) The values of W can be classified using the following ranges: W ≤ -2 → Essential but vastly insufficient -2 < W < -1 → Essential but insufficient -1 ≤ W < 0 → Essential and sufficient W = 0 → No surplus from mountains 0 < W ≤ 1 → Supportive 1 < W < 2 → Minor W ≥ 2 → Negligible The values of W are rounded to four decimal places and limited to a range of -1110 to 9998. Values falling outside of that range are set to the nearest limit. he following flag values apply to W: -5555 indicates that there is no water balance surplus from the mountain area upstream, but a lowland water balance surplus; -6666 indicates that there is no water balance surplus from the mountain area upstream, and a lowland water balance deficit. Mountain areas and oceans are NODATA, large ice shields are omitted (Greenland: NODATA, Antarctica: not covered in extent). Dataset Antarc* Antarctica Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic water resources
Mountain areas
lowland areas
water towers
Projections
Anthropocene
highland-lowland systems
spellingShingle water resources
Mountain areas
lowland areas
water towers
Projections
Anthropocene
highland-lowland systems
Viviroli, Daniel
Kummu, Matti
Meybeck, Michel
Kallio, Marko
Wada, Yoshihide
Data from: Increasing dependence of lowland populations on mountain water resources
topic_facet water resources
Mountain areas
lowland areas
water towers
Projections
Anthropocene
highland-lowland systems
description Mountain areas provide disproportionally high runoff in many parts of the world, and here we quantify for the first time their importance for water resources and food production from the viewpoint of the lowland areas downstream. The dataset maps the degree to which lowland areas potentially depend on runoff contributions from mountain areas (39% of land mass) between the 1960s and the 2040s. : Water resources index W quantifies the potential dependence of the world's lowland areas on water resources originating in mountain areas upstream. The data cover the timeframe from the 1960s (1961–1970) to the 2040s (2041–2050) in decadal steps. Data for projections from the 2010s onwards are available for three scenario pathways (SSP1-RCP4.5, SSP2-RCP6.0, SSP3-RCP6.0) and show median results from 5 CMIP5 GCMs (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, NorESM1‑M). The files are GeoTIFF formatted and in a regular raster of 5’×5’ (arc minutes in WGS 1984 coordinate system) The values of W can be classified using the following ranges: W ≤ -2 → Essential but vastly insufficient -2 < W < -1 → Essential but insufficient -1 ≤ W < 0 → Essential and sufficient W = 0 → No surplus from mountains 0 < W ≤ 1 → Supportive 1 < W < 2 → Minor W ≥ 2 → Negligible The values of W are rounded to four decimal places and limited to a range of -1110 to 9998. Values falling outside of that range are set to the nearest limit. he following flag values apply to W: -5555 indicates that there is no water balance surplus from the mountain area upstream, but a lowland water balance surplus; -6666 indicates that there is no water balance surplus from the mountain area upstream, and a lowland water balance deficit. Mountain areas and oceans are NODATA, large ice shields are omitted (Greenland: NODATA, Antarctica: not covered in extent).
format Dataset
author Viviroli, Daniel
Kummu, Matti
Meybeck, Michel
Kallio, Marko
Wada, Yoshihide
author_facet Viviroli, Daniel
Kummu, Matti
Meybeck, Michel
Kallio, Marko
Wada, Yoshihide
author_sort Viviroli, Daniel
title Data from: Increasing dependence of lowland populations on mountain water resources
title_short Data from: Increasing dependence of lowland populations on mountain water resources
title_full Data from: Increasing dependence of lowland populations on mountain water resources
title_fullStr Data from: Increasing dependence of lowland populations on mountain water resources
title_full_unstemmed Data from: Increasing dependence of lowland populations on mountain water resources
title_sort data from: increasing dependence of lowland populations on mountain water resources
publisher Dryad
publishDate 2019
url https://dx.doi.org/10.5061/dryad.ns1rn8pnt
http://datadryad.org/stash/dataset/doi:10.5061/dryad.ns1rn8pnt
geographic Greenland
geographic_facet Greenland
genre Antarc*
Antarctica
Greenland
genre_facet Antarc*
Antarctica
Greenland
op_relation https://dx.doi.org/10.1038/s41893-020-0559-9
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.ns1rn8pnt
https://doi.org/10.1038/s41893-020-0559-9
_version_ 1766103431002456064