%0 Generic %A Wang, Yunfei %A Zeng, Y. (Yijian) %A Su, Z. (Zhongbo) %D 2025 %T Data underlying the research on Advancing the Understanding of Eco-Hydrological Processes with the STEMMUS-MLR Model %U %R 10.4121/0feee349-83e7-4872-8fd4-bc07aa4dd265.v1 %K SIF %K Soil moisture %K Eco-hydrological modeling %K Root water uptake %X
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.
%I 4TU.ResearchData