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Projekter
- 2 Afsluttet
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MuSe-BDA: Multi-Sensor Bayesian Data Assimilation for Large-Scale Drought Monitoring System (MuSe-BDA)
Forootan, E. (PI (principal investigator)) & Mehrnegar, N. (PI (principal investigator))
08/09/2022 → 15/07/2025
Projekter: Projekt › Forskning
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Bayesian Frameworks for Separating Global Ocean Mass, Hydrology, and Surface Deformation Signals from GRACE Data
Forootan, E. (PI (principal investigator)), Jones, O. (PI (principal investigator)) & Mehrnegar, N. (Projektansøger)
01/10/2017 → 31/12/2020
Projekter: Projekt › Forskning
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Exploring GRACE and GRACE-FO data to estimate the groundwater component of a digital twin of the terrestrial water cycle
Forootan, E., Mehrnegar, N., Yang, F., Retegui Schiettekatte, L. A., Schumacher, M. & Brocca, L., maj 2025.Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning
Åben adgangFil36 Downloads (Pure) -
Global Water Monitor 2024 - Summary Report
van Dijk, A., Beck, H. E., Boergens, E., de Jeu, R. A. M., Dorigo, W. A., Edirisinghe, C., Forootan, E., Guo, E., Güntner, A., Hou, J., Mehrnegar, N., Mo, S., Preimesberger, W., Rahman, J. & Rozas Larraondo, P., jan. 2025, www.globalwater.online. 58 s.Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
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How can a hierarchical Bayesian approach bridge the gap between multi-source remote sensing data and hydrological models?
Mehrnegar, N. & Forootan, E., maj 2025.Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning
Åben adgang -
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
Forootan, E., Mehrnegar, N., Schumacher, M., Retegui Schiettekatte, L. A., Jagdhuber, T., Farzaneh, S., van Dijk, A. I. J. M., Shamsudduha , M. & Shum, C., 20 feb. 2024, I: Science of the Total Environment. 912, 14 s., 169476.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil19 Citationer (Scopus)99 Downloads (Pure) -
Making the Best Use of GRACE, GRACE-FO and SMAP Data Through a Constrained Bayesian Data-Model Integration
Mehrnegar, N., Schumacher, M., Jagdhuber, T. & Forootan, E., sep. 2023, I: Water Resources Research. 59, 9, 22 s., e2023WR034544.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil9 Citationer (Scopus)103 Downloads (Pure)
Forskningsdatasæt
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GRACE and GRACE-FO Post Processing in Matlab
Mehrnegar, N. (Ophavsperson) & Forootan, E. (Ophavsperson), Figshare, 2025
DOI: 10.6084/m9.figshare.29929922
Datasæt
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Lecture Notes of the AAU-Geodesy's Summer School 2025: SATELLITE-BASED HYDROLOGICAL DATA ASSIMILATION
Schumacher, M. (Ophavsperson), Mehrnegar, N. (Ophavsperson) & Forootan, E. (Ophavsperson), Figshare, 2025
DOI: 10.6084/m9.figshare.29929562
Datasæt
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Water storage changes of the High Plain aquifer between 2015-2021
Mehrnegar, N. (Ophavsperson) & Forootan, E. (Ophavsperson), Figshare, 24 jul. 2023
DOI: 10.6084/m9.figshare.23735724.v1
Datasæt
Presse/medier
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Relentless warming is driving the water cycle to new extremes, the 2024 global water report shows
06/01/2025 → 18/01/2025
21 elementer af Mediedækning
Presse/medie
Impacts
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AAU-Geodesy 2025 - Summer School - Satellite-Based Hydrological Data Assimilation
Forootan, E. (Deltager), Schumacher, M. (Deltager), Retegui Schiettekatte, L. A. (Deltager), Mehrnegar, N. (Deltager), Çakan, Ç. (Deltager) & Yang, F. (Deltager)
Impact