Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...

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 a...

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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.v2
https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/2
id ftdatacite:10.6084/m9.figshare.23592666.v2
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.23592666.v2 2023-11-05T03:44:36+01:00 Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ... Wan, Wenhua Döll, Petra Müller Schmied, Hannes 2023 https://dx.doi.org/10.6084/m9.figshare.23592666.v2 https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/2 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.v210.6084/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 for two different climate inputs: GSWP3-W5E5 and GSWP3-ERA5. ... 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
Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
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 for two different climate inputs: GSWP3-W5E5 and GSWP3-ERA5. ...
format Dataset
author Wan, Wenhua
Döll, Petra
Müller Schmied, Hannes
author_facet Wan, Wenhua
Döll, Petra
Müller Schmied, Hannes
author_sort Wan, Wenhua
title Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
title_short Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
title_full Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
title_fullStr Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
title_full_unstemmed Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
title_sort optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
publisher figshare
publishDate 2023
url https://dx.doi.org/10.6084/m9.figshare.23592666.v2
https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/2
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.v210.6084/m9.figshare.23592666
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