2026-06-10T04:57:35Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:85732025-10-17T21:54:34ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.4.4.2024.005 Sayyadi, Sara Sara Sayyadi 0000-0002-5152-0714 University of Nevada, Reno, US Nguyen, Viet Dung Viet Dung Nguyen 0000-0002-3002-7373 GFZ German Research Centre for Geosciences, Potsdam, Germany Apel, Heiko Heiko Apel 0000-0002-8852-652X GFZ German Research Centre for Geosciences, Potsdam, Germany Haas, Julian Julian Haas 0000-0002-0275-1903 GFZ German Research Centre for Geosciences, Potsdam, Germany Dang, Tran Trung Tran Trung Dang 0009-0000-4410-8687 National Centre for Water resources planning and Investigation (NAWAPI), Hanoi, Vietnam Than, Van Don Van Don Than National Centre for Water resources planning and Investigation (NAWAPI), Hanoi, Vietnam Nguyen , Nghia Hung Nghia Hung Nguyen 0000-0001-9514-7053 Southern Institute of Water Resources research (SIWRR), Ho chi Minh city, Vietnam Güntner, Andreas Andreas Güntner 0000-0001-6233-8478 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2025 groundwater storage large scale Central Highlands Vietnam Sesan Srepok 2S basin hydrosphere > hydrologic cycle > hydrologic balance hydrosphere > water (geographic) > groundwater hydrosphere > water body > aquifer In Situ/Laboratory Instruments > Gauges > GROUND WATER LEVEL GAUGES Sayyadi, Sara Sara Sayyadi 0000-0002-5152-0714 University of Nevada, Reno, US Nguyen, Viet Dung Viet Dung Nguyen 0000-0002-3002-7373 GFZ German Research Centre for Geosciences, Potsdam, Germany Apel, Heiko Heiko Apel 0000-0002-8852-652X GFZ German Research Centre for Geosciences, Potsdam, Germany Haas, Julian Julian Haas 0000-0002-0275-1903 GFZ German Research Centre for Geosciences, Potsdam, Germany Dang, Tran Trung Tran Trung Dang 0009-0000-4410-8687 National Centre for Water resources planning and Investigation (NAWAPI), Hanoi, Vietnam Than, Van Don Van Don Than National Centre for Water resources planning and Investigation (NAWAPI), Hanoi, Vietnam Nguyen , Nghia Hung Nghia Hung Nguyen 0000-0001-9514-7053 Southern Institute of Water Resources research (SIWRR), Ho chi Minh city, Vietnam Güntner, Andreas Andreas Güntner 0000-0001-6233-8478 GFZ German Research Centre for Geosciences, Potsdam, Germany Apel, Heiko GFZ German Research Centre for Geoscience, Potsdam 2024-10-08 2002-04-14/2021-12-15 Dataset 10.1080/02626667.2025.2568558 10.5880/G3P.2024.001 CC BY 4.0 This dataset contains large-scale groundwater storage anomalies for the Sesan and Srepok catchments in the Central Highlands of Vietnam. The anomalies were derived from in-situ groundwater well water level time series and hydrogeological information. A detailed description of the datasets and methods can be found in Sayyadi et al 2025.

The dataset is comprised of three files: insitu_groundater_storage_anomalies.csv, GW_wells.csv and a shape file with the Thiessen polygones indicating the extent of the area for which the storage calculations were performed.

insitu_groundater_storage_anomalies.csv contains the groundwater storage variations, with the following columns:

1. gws_mm (Groundwater Storage in millimeters): The gws_mm data represent groundwater storage anomalies derived from in-situ well measurements. Groundwater levels were recorded monthly from a network of observation wells across the study area. Specific yield values were used to convert the groundwater level variations into storage anomalies, measured in millimeters of water equivalent.

2. seasonal_adjusted: The seasonal_adjusted data were obtained by removing the seasonal component from the raw groundwater storage time series (gws_mm). This was done by calculating the mean monthly anomalies and subtracting them from the original data to isolate non-seasonal variations.

3. trend: The trend data represent the linear trend component of the groundwater storage anomalies. The trend was calculated using a linear regression model applied to the seasonal-adjusted data, highlighting long-term groundwater storage changes over the study period.

4. detrended: The detrended data were created by removing both the seasonal and long-term trend components from the gws_mm data. This dataset captures short-term fluctuations and anomalies, free from the regular seasonal and trend influences.
GW_wells.csv contains a list of the griundwater wells used in the study, with information about their location and lithology, as well as the range of associated specific yields (sy).

Thiessen_polygones_GW_wells_2S.shp is a georeferenced shape sile containing the Thiessen polygones for the wells in GW_wells.csv.
Vietnamese part of the Sesan and Srepok catchments in the Central Highlands of Vietnam 107.293 108.303 12.1753 14.7713 German Ministry of Education and Research BMBF 01LZ2002D Drought-ADAPT