Hao Zhou

Work

Lund University

Sweden

Chinese University of Hong Kong

Hong Kong

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Lund University

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Doctoral student

Sweden

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Education

Lunds universitet

Sweden
→
PhD

Publications

Improving the representation of hydrology in a terrestrial ecosystem model, with applications at catchment to global scales

dissertation-thesis

Crop model calibration at multiple spatial levels in southern Sweden using leaf area index, evapotranspiration and winter wheat yield data

preprint

Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming

Proceedings of the National Academy of Sciences of the United States of America

journal-article

Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming

Proceedings of the National Academy of Sciences

journal-article

Introducing sub-grid topographic heterogeneity into the dynamic vegetation model LPJ-GUESS

Swedish Climate Symposium 2024

conference-poster

Integrating Explainable Machine Learning Algorithms with LPJ-GUESS to Optimize Streamflow Prediction  

preprint

Crop model calibration at multiple spatial levels in southern Sweden using leaf area index, evapotranspiration and winter wheat yield data

EGU2024, 2024/04/15

conference-poster

A comprehensive evaluation of hydrological processes in a second-generation dynamic vegetation model

Hydrological Processes

journal-article

A comprehensive evaluation of hydrological processes in a second-generation dynamic vegetation model

Hydrological Processes

journal-article

A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model

Hydrological Processes

journal-article

An Integrated Approach for Optimizing Streamflow Prediction in Mid-High Latitude Catchments by Employing Terrestrial Ecosystem Modelling and Interpretable Machine Learning

Journal of Hydrology

preprint

An Integrated Approach for Optimizing Streamflow Prediction in Mid-High Latitude Catchments by Employing Terrestrial Ecosystem Modelling and Interpretable Machine Learning

Ssrn

other

Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming

Proceedings of the National Academy of Sciences of the United States of America

journal-article

Nitrogen addition and mowing had only weak interactive effects on macronutrients in plant-soil systems of a typical steppe in Inner Mongolia

Journal of Environmental Management

journal-article

Nitrogen addition and mowing had only weak interactive effects on macronutrients in plant-soil systems of a typical steppe in Inner Mongolia

Journal of Environmental Management

journal-article

Nitrogen addition and mowing had only weak interactive effects on macronutrients in plant-soil systems of a typical steppe in Inner Mongolia

Journal of Environmental Management

journal-article

Nitrogen addition and mowing had only weak interactive effects on macronutrients in plant-soil systems of a typical steppe in Inner Mongolia

Journal of Environmental Management

journal-article

Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning

Journal of Transport Geography

journal-article

Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning

Journal of Transport Geography

journal-article

Auditing street walkability and associated social inequalities for planning implications

Journal of Transport Geography

journal-article

Auditing street walkability and associated social inequalities for planning implications

Journal of Transport Geography

journal-article

Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning

Sustainable Cities and Society

journal-article

Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning

Sustainable Cities and Society

journal-article