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)
INSPIRE
Identification
- File identifier
- 72d5f35f-13b3-12ee-e054-002128a47908 XML
- Resource type
- nonGeographicDataset
Online resource
Resource identifier
- Metadata Language
- English (en)
Encoding
- Format
- MS Excel
Projection
Classification of data and services
- Topic category
-
- Geoscientific information
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
- GEMET - INSPIRE themes, version 1.0
- BGS Thesaurus of Geosciences
-
- Time series data
- Aquifers
- Groundwater
- NGDC Deposited Data
Temporal reference
Temporal extent
Temporal extent
- Dataset Reference Date ()
- 2018-07-31
Quality and validity
- Lineage
- 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).
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
- Explanation
- See the referenced specification
Restrictions on access and use
- Access constraints
- no limitations
- Access constraints
- 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.
- 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.
- Access constraints
- Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
Responsible organization (s)
Contact for the resource
- Organisation name
- University College London
- not available
- Organisation name
- University College London
- not available
Responsible organization (s)
Contact for the resource
- Organisation name
- University College London
- not available
- Organisation name
- University College London
- not available
Metadata information
Contact for the metadata
- Organisation name
- British Geological Survey
- enquiries@bgs.ac.uk
- Metadata Date
- 2024-03-27
- Metadata Language
- English (en)