2024年9月1日 · To address this issue, we developed a hybrid model called HSTIC by integrating a machine learning (ML) model for estimating surface relative humidity (RH 0) into the analytically-driven Surface Temperature Initiated Closure (STIC) model, which …

To address this issue, we developed a hybrid model called HSTIC by integrating a machine learning (ML) model for estimating surface relative humidity (RH0) into the analytically-driven Surface Temperature Initiated Closure (STIC) model, which is based on thermal remote sensing.

2023年11月1日 · Our findings suggest that HSTIC provides a fresh perspective for process-based models in simulating terrestrial evapotranspiration. By accurately capturing the dynamic interactions between surface and atmospheric conditions, HSTIC offers a robust tool for understanding and predicting ET under varying environmental conditions.

We addressed this by integrating a machine learning (ML) model estimating surface relative humidity (RH 0) into an analytical model (Surface Temperature Initiated Closure - STIC), creating a hybrid model called HSTIC. This approach significantly enhanced the accuracy of modeling water stress and conductance regulation.

2024年1月15日 · We addressed this by integrating a machine learning (ML) model estimating surface relative humidity (RH 0 ) into an analytical model (Surface Temperature Initiated Closure - STIC), creating a...

2024年9月1日 · To address this issue, we developed a hybrid model called HSTIC by integrating a machine learning (ML) model for estimating surface relative humidity (RH_0) into the analytically-driven Surface...

hstic has one repository available. Follow their code on GitHub.

To address this issue, we developed a hybrid model called HSTIC by integrating a machine learning (ML) model for estimating surface relative humidity (RH0) into the analytically-driven Surface Temperature Initiated Closure (STIC) model, which is based on thermal remote sensing.

Our findings suggest that HSTIC provides a fresh perspective for process-based models in simulating terrestrial evapotranspiration. By accurately capturing the dynamic interactions between surface and atmospheric conditions, HSTIC offers a robust tool for understanding and predicting ET under varying environmental conditions.

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