An in situ daily dataset for benchmarking temporal variability of groundwater recharge

Malakar, Pragnaditya; Anshuman, Aatish; Kumar, Mukesh; Boumis, Georgios; Clement, T. Prabhakar; Tashie, Arik; Thakur, Hitesh; Bhat, Nagaraj; Rathore, Lokendra

doi:https://doi.org/10.5194/essd-17-1515-2025

Articles | Volume 17, issue 4

https://doi.org/10.5194/essd-17-1515-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-1515-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 4

Data description paper

|

14 Apr 2025

Data description paper |

| 14 Apr 2025

An in situ daily dataset for benchmarking temporal variability of groundwater recharge

Pragnaditya Malakar, Aatish Anshuman, Mukesh Kumar, Georgios Boumis, T. Prabhakar Clement, Arik Tashie, Hitesh Thakur, Nagaraj Bhat, and Lokendra Rathore

Supplement

https://doi.org/10.5194/essd-17-1515-2025-supplement

Data sets

An in-situ daily dataset for benchmarking temporal variability of groundwater recharge Pragnaditya Malakar et al. https://doi.org/10.5281/zenodo.13323242

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Short summary

Groundwater dynamics depend on groundwater recharge, but daily benchmark data of recharge are scarce. Here we present a daily groundwater recharge per unit specified yield (RpSy) data at 485 US groundwater monitoring wells. RpSy can be used to validate the temporal consistency of recharge products from land surface and hydrologic models and facilitate assessment of recharge-driver functional relationships in them.