| Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections E Forootan, M Khaki, M Schumacher, V Wulfmeyer, N Mehrnegar, ... Science of the Total Environment 650, 2587-2604, 2019 | 137 | 2019 |
| Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap S Mo, Y Zhong, E Forootan, N Mehrnegar, X Yin, J Wu, W Feng, X Shi Journal of Hydrology 604, 127244, 2022 | 52 | 2022 |
| An iterative ICA-based reconstruction method to produce consistent time-variable total water storage fields using GRACE and Swarm satellite data E Forootan, M Schumacher, N Mehrnegar, A Bezděk, MJ Talpe, ... Remote Sensing 12 (10), 1639, 2020 | 47 | 2020 |
| Exploring groundwater and soil water storage changes across the CONUS at 12.5 km resolution by a Bayesian integration of GRACE data into W3RA N Mehrnegar, O Jones, MB Singer, M Schumacher, T Jagdhuber, ... Science of the Total Environment 758, 143579, 2021 | 22 | 2021 |
| Comparing global hydrological models and combining them with GRACE by dynamic model data averaging (DMDA) N Mehrnegar, O Jones, MB Singer, M Schumacher, P Bates, E Forootan Advances in water resources 138, 103528, 2020 | 21 | 2020 |
| Sustained water storage in Horn of Africa drylands dominated by seasonal rainfall extremes M Adloff, MB Singer, DA MacLeod, K Michaelides, N Mehrnegar, ... Geophysical Research Letters 49 (21), e2022GL099299, 2022 | 15 | 2022 |
| Making the best use of GRACE, GRACE‐FO and SMAP data through a constrained Bayesian data‐model integration N Mehrnegar, M Schumacher, T Jagdhuber, E Forootan Water Resources Research 59 (9), e2023WR034544, 2023 | 2 | 2023 |
| A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and Post-Glacial Rebound from GRACE (-FO) and GNSS data E Forootan, N Mehrnegar All Earth 34 (1), 120-146, 2022 | 2 | 2022 |
| 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 … E Forootan, N Mehrnegar, M Schumacher, LAR Schiettekatte, ... Science of the Total Environment 912, 169476, 2024 | 1 | 2024 |
| AssimEO-Berechnung des Gesamtwasserdargebots für die Pflanzenproduktion durch Assimilation von Erdbeobachtungsdaten C Montzka, A Fluhrer, T Jagdhuber, S Moradi, H Zhao, D Mengen, ... | | 2023 |
| Two decades (2003-2021) of storage changes in the soil water and groundwater of CONUS N Mehrnegar, M Schumacher, T Jagdhuber, E Forootan | | 2023 |
| How can the contribution of water storage changes and post glacier rebound be jointly estimated from GRACE (-FO) and GNSS measurements? N Mehrnegar, E Forootan Fall Meeting 2022, 2022 | | 2022 |
| A hierarchical Constrained Bayesian (ConBay) approach to jointly estimate water storage and post glacier rebound from GRACE (-FO) and GNSS data N Mehrnegar, E Forootan EGU22, 2022 | | 2022 |
| Groundwater storage in the Horn of Africa drylands dominated by seasonal rainfall extremes M Adloff, M Bliss Singer, D McLeod, K Michaelides, N Mehrnegar, ... EGU General Assembly Conference Abstracts, EGU21-15470, 2021 | | 2021 |
| Bayesian integration of satellite geodetic data with models to separate land hydrology and surface deformation signals N Mehrnegar Cardiff University, 2021 | | 2021 |
| Exploring meso-scale soil water and groundwater storage changes within the USA through a Bayesian combination of GRACE data with monthly 12.5 km model simulations N Mehrnegar, O Jones, MB Singer, M Schumacher, T Jagdhuber, ... EGU General Assembly Conference Abstracts, 19070, 2020 | | 2020 |
| Comparing Global Hydrological Models and Combining them with GRACE Data by Dynamic Bayesian Averaging (DBA). N Mehrnegar, O Jones, MB Singer, M Shumacher, P Bates, E Forootan Geophysical Research Abstracts 21, 2019 | | 2019 |
| A comprehensive assessment of a Bayesian-based and a statistical decomposition-based framework for separating GRACE signals N Mehrnegar, E Forootan, O Jones, M Singer, M Shumacher, P Bates EGU General Assembly Conference Abstracts, 6913, 2018 | | 2018 |
| Global Droughts are More Severe than They Appear in Hydrological Models: An Investigation Through a Bayesian Merging of Grace and Grace-Fo Data into a Water Balance Model E Forootan, N Mehrnegar, M Schumacher, LA Retegui Schiettekatte, ... Available at SSRN 4482334, 0 | | |
Ehsan ForootanProfessor of Geodesy and Earth Observation, Head of the Geodesy Group, Aalborg Universityכתובת אימייל מאומתת בדומיין plan.aau.dk
