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...
Main Authors: | , , |
---|---|
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 |
_version_ |
1781704892209954816 |