Skip to main content

Help us improve the National Data Library - complete this short survey

Close survey banner

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)

Publisher
British Geological Survey (BGS)
Updated
28 August 2026
Topic
Not set
Licence
Not set

Summary

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)

Data links

Link Format Preview Updated
Published Paper 28/8/2026
Data 28/8/2026

Is this data/dataset useful? Give us feedback

Additional information

Source Metadata
XML, HTML
Date added
28 August 2026
Harvest GUID
72d5f35f-13b3-12ee-e054-002128a47908
Dataset reference date (creation)
2018-07-31
Frequency of update
notApplicable
Access constraints
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.
Responsible party
University College London (pointOfContact, principalInvestigator)
ISO 19139 resource type
nonGeographicDataset
Metadata language
eng

Contact

Enquiries

Enquiries

Freedom of information (FOI) requests

Freedom of Information (FOI) requests