Monthly time-series data of individual terrestrial water stores including groundwater storage from GRACE (Gravity Recovery and Climate Experiment) satellites and GLDAS Land Surface Models for the world's large aquifer systems (NERC NE/M008932/1)
Monthly anomalies (August 2002 to July 2016) of total terrestrial water storage (TWS), soil moisture storage (SMS), surface water storage (SWS), snow water storage (SNS), groundwater storage (GWS) derived from an ensemble mean of 3 gridded GRACE products (CSR, JPL-Mascons and GRGS) and an ensemble mean 4 land surface models (CLM, NOAH, VIC and MOSAIC), provided by the NASA’s Global Land Data Assimilation System (GLDAS). Monthly precipitation (CRU) data, derived from the Climatic Research Unit (CRU), were aggregated over each aquifer system. GRACE, GLDAS and CRU datasets are publicly available at the global scale. (NERC grant NE/M008932/1)
nonGeographicDataset
http://www.bgs.ac.uk/services/ngdc/accessions/index.html#item111996
function: download
https://doi.org/10.5194/esd-11-755-2020
name: Published Paper
description: Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation Mohammad Shamsudduha and Richard G. Taylor. Earth Syst. Dynam., 11, 755–774, 2020
function: information
http://data.bgs.ac.uk/id/dataHolding/13607356
eng
All gridded data were aggregated over the 37 large global aquifer systems according to the World-wide Hydrogeological Mapping and Assessment Programme (WHYMAP) Geographic Information System (GIS) database (BGR and UNESCO, 2008). The WHYMAP network, led by the German Federal Institute for Geosciences and Natural Resources (BGR), serves as a central repository and hub for global groundwater data, information, and mapping with a goal of assisting regional, national, and international efforts toward sustainable groundwater management (Richts et al., 2011).
geoscientificInformation
publication
2008-06-01
Time series data
Aquifers
Groundwater
revision
2011
NERC_DDC
2002-08-15
2016-07-15
creation
2018-07-31
notApplicable
Gridded (1 deg x 1 deg), global-scale datasets (GRACE, GLDAS and CRU) were aggregated by taking the mean of the time-series data for the 37 large aquifer systems from the World-wide Hydrogeological Mapping and Assessment Programme (WHYMAP) database. Data were processed in R programming language. Detailed methodologies can be found in Shamsudduha et al. (2017) and Kolusu et al. (2018).
publication
2011
false
See the referenced specification
publication
2010-12-08
false
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
MS Excel
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.
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Institute for Risk & Disaster Reduction
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British Geological Survey
Environmental Science Centre,Keyworth
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United Kingdom
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2023-05-24