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1.
Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model.
Sci Total Environ
; 912: 169476, 2024 Feb 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-38145671
2.
Predicting global thermospheric neutral density during periods with high geomagnetic activity.
Sci Rep
; 13(1): 20322, 2023 Nov 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-37989868
3.
Machine learning based downscaling of GRACE-estimated groundwater in Central Valley, California.
Sci Total Environ
; 865: 161138, 2023 Mar 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36586696
4.
Forecasting global and multi-level thermospheric neutral density and ionospheric electron content by tuning models against satellite-based accelerometer measurements.
Sci Rep
; 12(1): 2095, 2022 Feb 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35136103
5.
Exploring groundwater and soil water storage changes across the CONUS at 12.5 km resolution by a Bayesian integration of GRACE data into W3RA.
Sci Total Environ
; 758: 143579, 2021 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33257057
6.
Hydrogeological characterisation of groundwater over Brazil using remotely sensed and model products.
Sci Total Environ
; 599-600: 372-386, 2017 Dec 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-28482297
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