GRACE, GLDAS and piezometric data for Makutapora and Limpopo Basins

Dataset title GRACE, GLDAS and piezometric data for Makutapora and Limpopo Basins
Dataset creators Mohammad Shamsudduha and Richard G Taylor, University College London
Dataset theme Geoscientific Information
Dataset abstract

Monthly time-series data of GRACE (Gravity Recovery and Climate Experiment) total terrestrial water storage (TWS), GLDAS (Global Land Data Assimilation System) soil moisture, surface water (surface runoff), snow water storage, and basin-aggregated observations from piezometric data for the Makutapora Basin (Tanzania) and Limpopo Basin (South Africa).

Dataset content dates August 2002 – July 2016
Dataset spatial coverage Limpopo Basin, South Africa
Makutapora Basin, Tanzania
Dataset supply format MS Excel
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher British Geological Survey
Dataset publication date April 2019
Dataset digital object identifier(DOI) 10.5285/75b4aa5b-c389-42e5-aa4a-bcb8584b8300
Dataset citation text Shamsudduha, M and Taylor, R G (2019): GRACE, GLDAS and piezometric data for Makutapora and Limpopo Basins. British Geological Survey. (Dataset). http://dx.doi.org/10.5285/75b4aa5b-c389-42e5-aa4a-bcb8584b8300
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
Access the dataset https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item127007
Further information Kolusu, S. R., Shamsudduha, M., Todd, M. C., Taylor, R. G., Seddon, D., Kashaigili, J. J., Ebrahim, G. Y., Cuthbert, M. O., Sorensen, J. P. R., Villholth, K. G., MacDonald, A. M., and MacLeod, D. A. (2019). The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa, Hydrol. Earth Syst. Sci., 23, 1751-1762, https://doi.org/10.5194/hess-23-1751-2019.