AAU-Geodesy 2025 - Summer School - Satellite-Based Hydrological Data Assimilation

Forootan, Ehsan (Participant)
Schumacher, Maike (Participant)
Retegui Schiettekatte, Leire Anne (Participant)
Mehrnegar, Nooshin (Participant)
Çakan, Çağatay (Participant)
Yang, Fan (Participant)

Impact

Description of impact

More than 40 early careers researchers attended a 3-day lecture to learn about advances in satellite based data assimilation. The participants were taught about the the latest developments of the ongoing research projects at the Geodesy group and were provided open-access tools to use for their own research.

Documents & Links

his Summer School: Satellite-Based Hydrological Data Assimilation (August 26-28, 2025, at the Geodesy Research Group, Department of Sustainability and Planning, Aalborg University, Denmark) aimed at training early career researchers. Participants were selected from a big pool of applicants, where at the end 35 external early careers and 7 from AAU are invited to the event. The school was supported by the Independent Research Fund Denmark: as part of the DFF2 research project DANSk-LSM (2022-2026), led by PI Ehsan Forootan and co-PI Maike Schumacher. The invited lecturers of school: Dr Henrik Madsen (DHI); Professor Peter Bauer-Gottwein (Copenhagen University); Professor Gabrielle De Lannoy (KU Leuven); Professor Petra Dӧll (University of Frankfurt); Professor Jürgen Kusche (University of Bonn); Dr Anke Fluhrer (German Aerospace Center, DLR); Dr Guillaume Ramillien (French National Center for Scientific Research, CNRS); and Professor Mohammad Shamsudduha (University College London). The practical examples of the school were prepared and presented by: Leire Retegui-Schiettekatte (AAU) - Data Assimilation of a simple model and a distributed hydrological model; Nooshin Mehrnegar (AAU) - a Matlab-based software for GRACE and GRACE-FO products; Cagatay Cakan - designing and preparing practical examples related to GRACE(-FO) and linking them with the SAGEA software; and Fan Yang (AAU) - the PyGLDA software in both Linux and Windows machines, as well as the practical steps. Summer School Information: https://www.aau.dk/summer-school-satellite-based-hydrological-data-assimilation-e134157 DANSk-LSM project: https://vbn.aau.dk/da/projects/developing-efficient-multi-sensor-data-assimilation-frameworks-fo SAGEA Software: https://github.com/AAUGeodesy/SaGEA PyGLDA Software: https://github.com/AAUGeodesyGroup/PyGLDA

AAU-Geodesy 2025 - Summer School - Satellite-Based Hydrological Data Assimilation

Description of impact

Documents & Links

Related content

Projects

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Multi-Sensor Bayesian Data Assimilation for Large-Scale Drought Monitoring System (MuSe-BDA)

A Novel Synergy of Physics-based and Data-driven Methods for Reliable Hydrological Predictions under Changing Climate

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The impacts of climatic variations and human water use on global and regional terrestrial water storage changes

The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features

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

Global Water Monitor 2024 - Summary Report

SAGEA: A toolbox for comprehensive error assessment of GRACE and GRACE-FO based mass changes

An Ensemble Kalman Filter with Rescaling Disaggregation for Assimilating Terrestrial Water Storage into Hydrological Models

High-Resolution PyGLDA-based Hydrological Data Assimilation to Reveal Added Values of Future NGGM and MAGIC Satellite Gravity Products

Assessing daily GRACE Data Assimilation during flood events of the Brahmaputra River Basin