Projects per year
Personal profile
Research profile
My research interest includes satellite geodesy, Earth gravity modelling and data assimilation with geodetic satellites into the hydrological model.
Keywords
- Geography and Geology
- Computer Science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 15 Life on Land
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DANSk-LSM: Developing efficient multi-sensor Data Assimilation frameworks for integrating Earth ObservatioN Satellite data into Land Surface Models (DANSk-LSM)
Forootan, E. (PI), Schumacher, M. (CoI), Yang, F. (Project Participant) & Retegui Schiettekatte, L. A. (Project Participant)
Uddannelses- og forskningsministeriet
01/09/2022 → 31/08/2026
Project: Research
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SING: Studying the Impact of the NGGM and MAGIC missions
Forootan, E. (PI), Schumacher, M. (PI) & Yang, F. (PI)
01/09/2024 → 01/04/2026
Project: Research
Research output
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AAU’s approach for assimilating current and future satellite gravity data into high resolution global hydrological models
Forootan, E., Yang, F., Retegui Schiettekatte, L. A., Schlaak, M., Pail, R. & Schumacher, M., 2 Sept 2025.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research
File13 Downloads (Pure) -
A GNSS-aid star camera fusion approach towards statistically optimal attitude determination of ll-SST missions
Pan, X., Yang, F. & Wu, Y., 1 Mar 2025.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
Open Access -
An efficient data assimilation (DA) approach for integrating GRACE-C, NGGM, and MAGIC data into global high resolution hydrological models
Yang, F., Schumacher, M., Retegui Schiettekatte, L. A., Forootan, E., Schlaak, M. & Pail, R., May 2025.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research
Open AccessFile56 Downloads (Pure) -
An Ensemble Kalman Filter with Rescaling Disaggregation for Assimilating Terrestrial Water Storage into Hydrological Models
Retegui Schiettekatte, L. A., Schumacher, M., Yang, F., Madsen, H. & Forootan, E., 6 Aug 2025, In: Scientific Reports. 15, 1, 28675.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)34 Downloads (Pure) -
A Statistically Optimized Star Camera Fusion Approach for the Attitude Determination of Low-Low Satellite-to-Satellite Tracking Mission
Pan, X., Yang, F. & Wu, Y., 18 Jun 2025, In: IEEE Sensors Journal. 25, 15, p. 28800-28814 15 p., 11039158.Research output: Contribution to journal › Journal article › Research › peer-review
Datasets
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PyHawk Software: An efficient gravity recovery solver for GRACE and GRACE-FO
Yang, F. (Creator) & Forootan, E. (Contributor), Github, Apr 2025
https://github.com/NCSGgroup/PyHawk
Dataset
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CRA-LICOM: A global high-frequency atmospheric and oceanic temporal gravity field product (2002-2024)
Yang, F. (Creator) & Forootan, E. (Contributor), National Tibetan Plateau, 8 Feb 2025
DOI: 10.11888/SolidEar.tpdc.302016, https://data.tpdc.ac.cn/en/data/4c18c7a0-da0a-4eac-95f8-349a2986dc44
Dataset
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SaGEA Toolbox
Liu, S. (Creator), Yang, F. (Creator) & Forootan, E. (Contributor), Github, Dec 2024
DOI: https://github.com/AAUGeodesy/SaGEA
Dataset
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An efficient and accurate Python tool for uncertainty quantification of GRACE based TWS
Yang, F. (Creator) & Forootan, E. (Creator), Figshare, 9 Oct 2023
DOI: 10.6084/m9.figshare.24272485.v2, https://figshare.com/articles/software/An_efficient_and_accurate_python_tool_for_uncertainty_quantification_of_GRACE_based_TWS/24272485/2
Dataset
Press/Media
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Summer School: Satellite-Based Hydrological Data Assimilation
Schumacher, M., Retegui Schiettekatte, L. A., Yang, F., Azimi, S., Çakan, Ç., Tiwari, S. & Forootan, E.
19/03/2026
1 item of Media coverage
Press/Media: Press / Media
Impacts
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AAU-Geodesy 2025 - Summer School - Satellite-Based Hydrological Data Assimilation
Forootan, E. (Participant), Schumacher, M. (Participant), Retegui Schiettekatte, L. A. (Participant), Mehrnegar, N. (Participant), Cakan, C. (Participant) & Yang, F. (Participant)
Impact