School of Earth System Science
Associate professor
副研究员
生态水文学
hanchen@tju.edu.cn
滨海院5号楼A区306
300072
Dr. Han Chen is currently an Associate Researcher and Master's Supervisor at the School of Earth System Science, Tianjin University. His research primarily focuses on regional evapotranspiration and vegetation productivity modeling, as well as the response mechanisms of eco-hydrological processes to climate change. To date, he has published 22 SCI papers as the first author in top-tier journals within the Chinese Academy of Sciences (CAS) Category 1, such as Agricultural and Forest Meteorology, Global and Planetary Change, Advances in Water Resources, Agriculture, Ecosystems & Environment, and Journal of Hydrology. He has been the principal investigator for a National Natural Science Foundation of China (NSFC) Youth Fund project and a General Postdoctoral Fund project. Additionally, he serves as a reviewer for several top-tier journals in hydrology and water resources, including Water Resources Research and Journal of Hydrology, and as an expert reviewer for the NSFC. He has received awards such as the Outstanding PhD Graduate and Excellent Faculty Postdoctoral Fellow from Nankai University.
- Doctoral degree| Nankai university| Ecology| 2020
- 城市生态水文,蒸散发模拟,植被生产力模拟,碳水耦合,遥感水文,机器学习,气候变化,城市热岛
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2024.6-Now
地球系统科学学院 | 天津大学 | 副研究员  -
2021.1-2024.5
环境科学与工程学院 | 南开大学 | 助理研究员 
- Papers
- [1] Widespread increase in plant transpiration driven by global greening
- [2] Assessing the impact of urbanization on urban evapotranspiration and its components using a novel four-source energy balance model
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- [3] Assessing the effects of end-members determination on regional latent heat flux simulation in trapezoidal framework based model
- [4] An enhanced shuttleworth-wallace model for simulation of evapotranspiration and its components
- [5] Development of a three-source remote sensing model for estimation of urban evapotranspiration
- [6] Partitioning eddy covariance CO2 fluxes into ecosystem respiration and gross primary productivity through a new hybrid four sub-deep neural network
- [7] Estimation of global land surface evapotranspiration and its trend using a surface energy balance constrained deep learning model
- [8] Development of a trapezoidal framework-based model (PCALEP) for partition of land evapotranspiration
- [9] Evaluation of alternative two-source remote sensing models in partitioning of land evapotranspiration
- [10] A hybrid deep learning framework with physical process description for simulation of evapotranspiration
- [11] Can evaporation from urban impervious surfaces be ignored?
- [12] Integration of flux footprint and physical mechanism into convolutional neural network model for enhanced simulation of urban evapotranspiration
- [13] Altered landscape pattern dominates the declined urban evapotranspiration trend
- [14] Revealing the response of urban heat island effect to water body evaporation from main urban and suburb areas
- [15] Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland
- [16] A non-linear theoretical dry/wet boundary-based two-source trapezoid model for estimation of land surface evapotranspiration
- [17] Evapotranspiration partitioning based on field‐stable oxygen isotope observations for an urban locust forest land
- [18] Quantitative Assessment of Agricultural Practices on Farmland Evapotranspiration Using EddyCovariance Method and Numerical Modelling
- [19] Evaluation the Performance of Three Types of Two-Source Evapotranspiration Models in Urban Woodland Areas
- [20] How do non-halophyte locust trees thrive in temperate coastal regions: A study of salinity and multiple environmental factors on water uptake patterns
- [21] Field evapotranspiration in South China and Its Influencing Factors
- [22] Partitioning urban forest evapotranspiration based on integrating eddy covariance of water vapor and carbon dioxide fluxes
- [23] Response of surface energy components to urban heatwaves and its impact on human comfort in coastal city
- [24] Applicability of a gas analyzer with dual quantum cascade lasers for simultaneous measurements of N2O, CH4 and CO2 fluxes from cropland using the eddy covariance technique
- [25] Passive samplers, an important tool for continuous monitoring of the COVID-19 pandemic
- [26] Understanding changes in the timing of heavy storms: a regional case study of climate change impacts
- Honors & Awards
- [1] 南开大学优秀师资博士后
- [2] 中国高新技术成果交易会优秀产品证书奖