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
Dataset title | 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 |
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Dataset creators | Mohammad Shamsudduha, University College London Richard Taylor, University College London |
Dataset theme | Geoscientific Information |
Dataset abstract | 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. |
Dataset content dates | 15th August 2002 - 15th July 2016 |
Dataset spatial coverage | Not applicable |
Dataset supply format | csv files |
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 | 1st February 2019 |
Dataset digital object identifier(DOI) | 10.5285/0387fd53-9fed-468e-bda9-0bde8f5fda13 |
Dataset citation text | Shamsudduha, M; Taylor, R G (2019): 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. British Geological Survey. (Dataset). https://dx.doi.org/10.5285/0387fd53-9fed-468e-bda9-0bde8f5fda13 |
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#item111996 |
Further information | www.grofutures.org |