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. |