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DOI: 10.4121/0feee349-83e7-4872-8fd4-bc07aa4dd265

Wang, Yunfei; Zeng, Y. (Yijian); Su, Z. (Zhongbo) (2025): Data underlying the research on Advancing the Understanding of Eco-Hydrological Processes with the STEMMUS-MLR Model. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0feee349-83e7-4872-8fd4-bc07aa4dd265.v1

Categories

• Urban and Regional Planning
• Built Environment and Design

Keywords

Eco-hydrological modeling Root water uptake SIF Soil moisture

Licence

CC BY-NC-SA 4.0

Interoperability

• RO-Crate Metadata

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by Yunfei Wang , Y. (Yijian) Zeng , Z. (Zhongbo) Su

The increasing availability of solar-induced chlorophyll fluorescence (SIF) observations has significantly enhanced our understanding of eco-hydrological processes. To leverage this potential, the STEMMUS-MLR model was developed to directly estimate eco-hydrological fluxes and states using SIF data. This dataset includes the source code of the STEMMUS-MLR model, along with in-situ measurements used for model forcing and validation.

History

• 2025-07-09 first online, published, posted

Publisher

4TU.ResearchData

Format

spreadsheet/.xlsx; MATLAB/.m

Organizations

University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)