Taking into account karst in global-scale groundwater recharge modeling ...

1. Global ground-based GWR estimates allocated to the 0.5º by 0.5º grid cells of WaterGAP, including 64 estimates from karst studies and the rest for non-karst areas. 2. The six major datasets used for compiling the ground-based GWR estimates dataset, including (1) Moeck et al. (2020), (2) Mohan et...

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Main Authors: Wan, Wenhua, Döll, Petra, Müller Schmied, Hannes
Format: Dataset
Language:unknown
Published: figshare 2023
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.23592666.v1
https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/1
id ftdatacite:10.6084/m9.figshare.23592666.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.23592666.v1 2023-11-05T03:44:36+01:00 Taking into account karst in global-scale groundwater recharge modeling ... Wan, Wenhua Döll, Petra Müller Schmied, Hannes 2023 https://dx.doi.org/10.6084/m9.figshare.23592666.v1 https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.23592666 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Groundwater hydrology Surface water hydrology Dataset dataset 2023 ftdatacite https://doi.org/10.6084/m9.figshare.23592666.v110.6084/m9.figshare.23592666 2023-10-09T10:14:59Z 1. Global ground-based GWR estimates allocated to the 0.5º by 0.5º grid cells of WaterGAP, including 64 estimates from karst studies and the rest for non-karst areas. 2. The six major datasets used for compiling the ground-based GWR estimates dataset, including (1) Moeck et al. (2020), (2) Mohan et al. (2018), (3) Scanlon et al. (2006), (4) Döll & Fiedler (2008), (5) MacDonald et al. (2021), and (6) Hartmann et al. (2015). 3. The updated global 0.5° cell GWR, karstification fraction, relief-, soil texture-, hydrogeology-, and permafrost/glacier-related factors, and GWR per grid cell. ... Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Groundwater hydrology
Surface water hydrology
spellingShingle Groundwater hydrology
Surface water hydrology
Wan, Wenhua
Döll, Petra
Müller Schmied, Hannes
Taking into account karst in global-scale groundwater recharge modeling ...
topic_facet Groundwater hydrology
Surface water hydrology
description 1. Global ground-based GWR estimates allocated to the 0.5º by 0.5º grid cells of WaterGAP, including 64 estimates from karst studies and the rest for non-karst areas. 2. The six major datasets used for compiling the ground-based GWR estimates dataset, including (1) Moeck et al. (2020), (2) Mohan et al. (2018), (3) Scanlon et al. (2006), (4) Döll & Fiedler (2008), (5) MacDonald et al. (2021), and (6) Hartmann et al. (2015). 3. The updated global 0.5° cell GWR, karstification fraction, relief-, soil texture-, hydrogeology-, and permafrost/glacier-related factors, and GWR per grid cell. ...
format Dataset
author Wan, Wenhua
Döll, Petra
Müller Schmied, Hannes
author_facet Wan, Wenhua
Döll, Petra
Müller Schmied, Hannes
author_sort Wan, Wenhua
title Taking into account karst in global-scale groundwater recharge modeling ...
title_short Taking into account karst in global-scale groundwater recharge modeling ...
title_full Taking into account karst in global-scale groundwater recharge modeling ...
title_fullStr Taking into account karst in global-scale groundwater recharge modeling ...
title_full_unstemmed Taking into account karst in global-scale groundwater recharge modeling ...
title_sort taking into account karst in global-scale groundwater recharge modeling ...
publisher figshare
publishDate 2023
url https://dx.doi.org/10.6084/m9.figshare.23592666.v1
https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/1
genre permafrost
genre_facet permafrost
op_relation https://dx.doi.org/10.6084/m9.figshare.23592666
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.6084/m9.figshare.23592666.v110.6084/m9.figshare.23592666
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