858d7471-a4a2-0944-e054-002128a47908
English
dataset
British Geological Survey
+44 115 936 3100
Environmental Science Centre,Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
pointOfContact
2024-03-22
UK GEMINI
2.3
http://data.bgs.ac.uk/id/dataHolding/13607445
GRACE, GLDAS and piezometric data for Makutapora and Limpopo Basins (NERC grant NE/M008932/1)
2019-04-01
revision
http://data.bgs.ac.uk/id/dataHolding/13607445
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).
Dr Mohammad Shamsudduha
University College London
Institute for Risk & Disaster Reduction
South Wing Room no. 40 Gower Street
London
WC1E 6BT
not available
pointOfContact
Professor Richard Taylor
University College London
Department of Geography
Gower Street
London
WC1E 6BT
not available
principalInvestigator
notApplicable
https://resources.bgs.ac.uk/images/geonetworkThumbs/858d7471-a4a2-0944-e054-002128a47908.png
Geology
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
NGDC Deposited Data
Groundwater
BGS Thesaurus of Geosciences
2022
revision
NGDC Deposited Data
dataCentre
NERC_DDC
otherRestrictions
no limitations
The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
otherRestrictions
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
English
geoscientificInformation
British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus
1979
creation
SOUTH AFRICA [id=670000]
British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus
1979
creation
TANZANIA [id=685000]
ISO 3166_1 alpha-2
2009
revision
ZA
ISO 3166_1 alpha-3
2009
revision
ZAF
25.0000
32.0500
-26.5000
-22.1000
35.6000
36.0200
-6.0800
-5.6000
2002-08
2016-07
Makutapora Basin, Tanzania (centre coordinates: longitude 35.75 and latitude -5.9) Limpopo Basin (South Africa) (centre coordinates: longitude 29.42 and latitude -23.39)
MS Excel
https://doi.org/10.5194/hess-23-1751-2019
information
https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item127007
download
dataset
dataset
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
2011
publication
See the referenced specification
false
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
publication
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
false
Data and methods for GRACE and GLDAS land surface model data processing are described in the paper, "The El Niño event of 2015–2016: climate anomalies and their impact on groundwater resources in East and Southern Africa" published in Hydrology and Earth System Sciences.