Comparison of in situ and grace estimated groundwater in the Canadian prairies. Toure, M. Y. A., Goita, K., Magagi, R., & Toure, A. M. In volume 2016-November, pages 7639 - 7642, Beijing, China, 2016.
Comparison of in situ and grace estimated groundwater in the Canadian prairies [link]Paper  abstract   bibtex   
Groundwater is an important component of the hydrological cycle. In Canada, more than 30% of the population relies on groundwater as the main source of water for domestic use. However, its measurement and monitoring remain challenging at large spatial scales. In this study, we examined the relationship between in situ groundwater data extracted from existing wells, and those derived from the Gravity Recovery And Climate Experiment (GRACE) mission terrestrial water storage data. The other intervening water components, such as soil moisture, were extracted from the Global Land Data Assimilation System (GLDAS). © 2016 IEEE.
@inproceedings{20170103213559 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2023 Elsevier Inc.},
copyright = {Compendex},
title = {Comparison of in situ and grace estimated groundwater in the Canadian prairies},
journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},
author = {Toure, Mohamed Y. A. and Goita, Kalifa and Magagi, Ramata and Toure, Ally M.},
volume = {2016-November},
year = {2016},
pages = {7639 - 7642},
address = {Beijing, China},
abstract = {Groundwater is an important component of the hydrological cycle. In Canada, more than 30% of the population relies on groundwater as the main source of water for domestic use. However, its measurement and monitoring remain challenging at large spatial scales. In this study, we examined the relationship between in situ groundwater data extracted from existing wells, and those derived from the Gravity Recovery And Climate Experiment (GRACE) mission terrestrial water storage data. The other intervening water components, such as soil moisture, were extracted from the Global Land Data Assimilation System (GLDAS). © 2016 IEEE.},
URL = {http://dx.doi.org/10.1109/IGARSS.2016.7730992},
}

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