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陈豪 副研究员
2026-03-04 07:50  

 

   

姓名:陈豪

职称:副研究员,硕导

最终毕业学校:中国科学院空天信息创新研究院

工作经历:

德国于利希研究中心 访问学者

天津大学 博士后

学位情况:地图学与地理信息系统专业 理学博士

个人邮箱h.chen@tjnu.edu.cn

学术主页https://ninjach.github.io/chenh/

 

 

 

主要研究方向

  陆面过程综合模拟

主要担任课程

  本科生课程:地理信息系统应用

 研究生课程:地理智能分析

主要科研项目

[1] 国家自然科学基金青年项目(C类),中高纬度地区冻土植被变化及其水文响应模拟研究——以黑龙江流域为例,2022-2024主持

[2] 企事业单位委托项目,数据驱动的多模型融合方法研究与应用,2025-2027主持

[3] 企事业单位委托项目,卫星遥感技术发展跟踪研究,2025-2027主持

[4] 中国博士后科学基金面上项目,联合深度学习和水文模型的中国水储量模拟及预估研究,2020-2024主持

[5] 遥感与数字地球全国重点实验室开放基金,中国湿地动态分布模拟及预测研究,2021-2023主持

[6] 国家自然科学基金委员会,重点项目,西南喀斯特流域有机质迁移-转化过程及其控制机制,2023-2027参与

[7] 国家自然科学基金面上项目,平原区微地形对土壤水时空变异作用机制及其尺度提升方法,2022-2025参与

[8] 科技基础资源调查专项课题,滨海湿地资源调查技术标准和规范建立及数据集成,2021-2025参与

[9] 国家重点研发计划课题,中高纬度湿地水文过程对气候变化的响应,2016-2021参与

主要学术论文

  [第一/通讯作者SCI/EI论文]  

[1] An Incremental   Dynamic Weighting Ensemble Framework for Long-Term and NRT Precipitation   Prediction, Figshare [data set], 2025. https://doi.org/10.6084/m9.figshare.28616207;   https://doi.org/10.6084/m9.figshare.29632589;   https://doi.org/10.6084/m9.figshare.28612385

[2] Soil   physicochemical properties explain land use/cover histories in the last sixty   years in China, Geoderma, 2024. https://doi.org/10.1016/j.geoderma.2024.116908

[3] Toward an improved   ensemble of multi-source daily precipitation via joint machine learning   classification and regression, Atmospheric Research, 2024.   https://doi.org/10.1016/j.atmosres.2024.107385

[4] Evaluating   data-driven and hybrid modeling of terrestrial actual evapotranspiration   based on an automatic machine learning approach, Journal of Hydrology,   2024. https://doi.org/10.1016/j.jhydrol.2023.130594

[5] Dynamically   weighted ensemble of geoscientific models via automated   machine-learning-based classification, Geoscientific Model Development,   2023. https://doi.org/10.5194/gmd-16-5685-2023

[6] Impacts of   seasonally frozen soil hydrothermal dynamics on the watershed hydrological   processes inferred from a spatially distributed numerical modelling approach,   Journal of Hydrology, 2023. https://doi.org/10.1016/j.jhydrol.2023.129947

[7] Discrimination and   mapping ground surface freeze and thaw states over Northeastern China based   on the improved dual-index algorithm, Cold Regions Science and   Technology, 2023. https://doi.org/10.1016/j.coldregions.2023.103963

[8] Combining sparse   observations and reanalysis data for refining spatiotemporal variability in   near-surface air temperature lapse rates over China, International Journal   of Climatology, 2021. https://doi.org/10.1002/joc.7226

[9] Long-term   groundwater storage variations estimated in the Songhua River Basin by using   GRACE products, land surface models, and in-situ observations, Science   of The Total Environment, 2019. https://doi.org/10.1016/j.scitotenv.2018.08.352

[10] Remote detection   of human-induced evapotranspiration in a regional system experiencing   increased anthropogenic demands and extreme climatic variability, International   Journal of Remote Sensing, 2019. https://doi.org/10.1080/01431161.2018.1523590

[11] Climate Change and   Anthropogenic Impacts on Wetland and Agriculture in the Songnen and Sanjiang   Plain, Northeast China, Remote Sensing, 2018. https://doi.org/10.3390/rs10030356

[12] Coupling   physically-based modeling and deep learning for long-term global freshwater   availability monitoring and prediction, Proceedings Volume 11856,   Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII,   2021. https://doi.org/10.1117/12.2600200

[13] Variations of   simulated water use efficiency over 2000-2016 and its driving forces in   Northeast China, Proceedings Volume 11149, Remote Sensing   for Agriculture, Ecosystems, and Hydrology XXI, 2019. https://doi.org/10.1117/12.2533127

[14] Modelling spatial   and temporal variability of hydrologic impacts under climate changes over the   Nenjiang River Basin, China, Proceedings Volume 10421, Remote   Sensing for Agriculture, Ecosystems, and Hydrology XIX, 2017. https://doi.org/10.1117/12.2278357

[15] Volunteered   Geographic Information for Disaster Management with Application to Earthquake   Disaster Databank & Sharing Platform, IOP Conference Series: Earth   and Environmental Science, 2017. https://doi.org/10.1088/1755-1315/57/1/012015

 

 [合作作者SCI论文]

[1] AI in soil moisture   remote sensing, International Journal of Applied Earth Observation and   Geoinformation, 2026. https://doi.org/10.1016/j.jag.2025.105011

[2] Balancing   agricultural expansion and groundwater sustainability: Insights from GRACE   and hydrological models, Agricultural Water Management, 2025.   https://doi.org/10.1016/j.agwat.2025.110039

[3] Soil Moisture   Memory: State-Of-The-Art and the Way Forward, Reviews of Geophysics,   2024. https://doi.org/10.1029/2023RG000828

[4] Modeling   hydrological consequences of 21st-Century climate and land use/land cover   changes in a mid-high latitude watershed, Geoscience Frontiers,   2024. https://doi.org/10.1016/j.gsf.2024.101819

[5] Impacts of Climatic   Fluctuations and Vegetation Greening on Regional Hydrological Processes: A   Case Study in the Xiaoxinganling Mountains–Sanjiang Plain Region,   Northeastern China, Remote Sensing, 2024. https://doi.org/10.3390/rs16152709

[6] Spatiotemporal   green water dynamics and their responses to variations of climatic and   underlying surface factors: A case study in the Sanjiang Plain, China, Journal   of Hydrology: Regional Studies, 2023. https://doi.org/10.1016/j.ejrh.2022.101303

[7] Human-Induced water   loss from closed inland Lakes: Hydrological simulations in China’s Daihai   lake, Journal of Hydrology, 2022. https://doi.org/10.1016/j.jhydrol.2022.127552

[8] A new method for   surface water extraction using multi-temporal Landsat 8 images based on   maximum entropy model, European Journal of Remote Sensing, 2022.   https://doi.org/10.1080/17538947.2020.1812740

[9] Evaluating global   ecosystem water use efficiency response to drought based on multi-model   analysis, Science of The Total Environment, 2021. https://doi.org/10.1016/j.scitotenv.2021.146356

[10] Spatial   Downscaling Based on Spectrum Analysis for Soil Freeze/Thaw Status Retrieved   From Passive Microwave, IEEE Transactions on Geoscience and Remote   Sensing, 2021. https://doi.org/10.1109/TGRS.2021.3051683

[11] Monitoring the   spatial distribution and changes in permafrost with passive microwave remote   sensing, ISPRS Journal of Photogrammetry and Remote Sensing, 2020.   https://doi.org/10.1016/j.isprsjprs.2020.10.011

[12] Separating the   impacts of climate variability, land-use change and large reservoir   operations on streamflow in the Yangtze River basin, China, using a   hydrological modeling approach, International Journal of Digital Earth,   2020. https://doi.org/10.1080/17538947.2020.1812740

[13] A Global   Hydrological Drought Index Dataset Based on Gravity Recovery and Climate   Experiment (GRACE) Data, Water Resources Management, 2018.   https://doi.org/10.1007/s11269-017-1869-1

[14] An Improved   Algorithm for Discriminating Soil Freezing and Thawing Using AMSR-E and AMSR2   Soil Moisture Products, Remote Sensing, 2018. https://doi.org/10.3390/rs10111697

主要社会兼职

European Journal of Soil Science》期刊客座编辑,《Remote   Sensing of Environment》、《Journal of Hydrology》、《GIScience   & Remote Sensing》、《Journal of   Environmental Management》、《International Journal   of Applied Earth Observation and Geoinformation》、《Environmental   modelling & software》、《Atmospheric research》等期刊审稿人。

 

 

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