基本情况
张之华,山东大学数学学院教授、博士生导师,“泰山学者”特聘教授、"AI for Digitial Earth" 研究团队负责人。2025年当选 IETI
Fellow(国际工程技术协会会士),2021年至今受邀担任地中海地球科学学会(MedGU)年会第一分会主席,地中海生命科学学会(MedLIFE)年会第十分会主席,国际珊瑚礁学会教育委员会委员,联合国IPCC报告评审专家,联合国区域发展中心评审专家,瑞士国家科学基金评审专家,国家自然科学奖网评专家,国家环保部应对气候变化项目成果论证(验收)的会评专家等。
研究领域
气候变化机制、大数据挖掘、碳排放、气候工程、生态系统、气候政策、遥感数据分析等
教育背景
2001年 山东大学 学士
2004年 中国科学院 硕士
2007年 美国加利福尼亚大学 博士
科研项目及荣誉
张之华担任欧盟Horizon2020框架计划旗舰项目ePIcenter的中方主持人(项目总经费755万欧元),国家科技部第二次青藏高原综合科学考察研究专题的第三主持人(科技部规定本类项目设三个主持人,项目总经费4616万,前三年3045万),以及多个国家级和省部级科研项目的主持人。
张之华获地中海地球科学学会(MedGU)杰出大会主旨报告奖(2023),地中海地球科学学会(MedGU)杰出编辑奖(2023),Springer 出版社颁发的AJGS 期刊杰出工作和科学贡献奖(2019),PLoS长期服务奖(2023),欧洲地球科学学会(EGU)Young Scientist's Travel Award of the EGU (2014), 以及中国政府颁发的国家优秀自费留学生奖学金(2006)。
学术著作
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张之华, J. Crabbe, D. Contini, D.
Cesari, 《Observation and AI
Techniques in Digital Earth》, Elsevier,2026
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张之华, P. Jorgenson, 《Frame Theory
in Data Science》, Springer, 2024
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张之华, 《Environmental Data Analysis》第二版, DeGruyter,2023
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张之华,J. Li, 《Big Data Mining for Climate Change》, Elsevier,2020
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张之华, 《Multivariate Time Series Analysis in Climate & Environmental
Research》, Springer, 2018
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张之华, J.Moore,《Mathematical
and Physical Fundamentals of Climate Change》, Elsevier,
2015
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张之华,H. Chenchouni, M. Sarikaya, J. Knight, M. Gentilucci, I. Ali, A.
Ciner 《Dynamic Evolution of Atmospheric, Ecological, and Hydrological
Systems in Circum-Mediterranean Regions》, Springer, 2025
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张之华,N. Khelifi,A. Mezghani, E. Heggy, 《Patterns and
Mechanisms of Climate,Paleoclimate and Paleoenvironmental Change from Low-Latitude Regions》, Springer, 2019
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H. Chenchouni, 张之华,D. Bisht,
M. Gentilucci 等,《Recent Advancements from Aquifers to Skies in Hydrogeology,
Geoecology, and Atmospheric Sciences》, Springer, 2024
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H. Chenchouni, H. Chamine, 张之华,N.
Khelifi等,《Recent Research on Hydrogeology, Geoecology and Atmospheric Sciences》, Springer,
2023
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H. Chenchouni, H. Chamine, M. Khan, B.
Merkel, 张之华
等,《New Prospects in Environmental Geosciences and Hydrogeosciences》, Springer,
2022
论文发表
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L. Zhu,张之华*,J. Crabbe, Exploring Small-scale Optimization Coupling
Learning Approaches for Enterprises' Financial Health Forecasts, Financial
Innovation, 11:78, 2025
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张之华, Dual Wavelet Frame Packets with Non-square Iterative Matrices,
Int. J. Wavelets, Multiresolution and Information Processing, 22:2, 2350041,
2024
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J. Xu, 张之华*, J. Crabbe, Multiscale Impacts of Land
Environmental Features and Planning on Apartment Resale Prices in Jinan City,
China (期刊特征论文Featured Paper), Land,
13:7, 954,
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Y. Wu, J. Yang, 张之华*, L.Das,
J. Crabbe, High-Resolution Temperature
Evolution Maps of Bangladesh via Data-Driven Learning, Atmosphere, 15, 385,
2024
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L. Das, 张之华*, J. Crabbe, A.
Liu, Spatial-temporal Patterns of Rainfall Variability in Bangladesh, Int. J.
Global Warming, 33:2, 2024
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张之华, D. Huisingh, J. Crabbe, Chinese public's perceptions and
understanding of the potential roles of solar climate engineering for reducing
climate change risks, Environ. Dev. Sustain., 2024
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Y. Wu, J. Yang, L.Das, 张之华*, J. Crabbe,
High-Resolution Precipitation Prediction in Bangladesh via Ensemble
Learning, Int. J. Global Warming, 33:3, 2024
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张之华, Fully Symmetric Frame
Scaling Functions and derived Framelets, Int. J. Wavelets, Multiresolution and
Information Processing, 22:3, 2350058,
2024
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S. Lu, 张之华*, J. Crabbe, P. Suntichaikul, Effects of Urban Land-Use Planning on Housing Prices
in Chiang Mai, Thailand, Land, 13, 1136, 2024
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T. Hao, 张之华*, J. Crabbe, Few-Shot Hyperspectral Remote
Sensing Image Classification via an Ensemble of Meta-Optimizers with Update
Integration, Remote Sensing, 16, 2988, 2024
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Q. Wang, 张之华*, J. Crabbe, Spatial Patterns and Evolution
Features of Marine Cold Spells in the Arabian Sea during the Past Three decades
, Journal of Marine Science and Engineering, 12, 1439, 2024
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X. Xu, 张之华*, J. Crabbe, Satellite Image Restoration via an
Adaptive QWNNM Model, Remote Sensing, 16, 4152, 2024
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Liu, 张之华*, M. Crabbe, L.
Das, Multifractal Features and Dynamical Thresholds of Temperature Extremes in
Bangladesh (期刊特征论文Featured Paper), Fractal and Fractional , 7:7, 540, 2023.
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张之华, High-dimensional Periodic Frames with Only one Symmetric
Generator, Symmetry, 15, 1895, 2023
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G. Hou, F. Kobe, 张之华*, J. Crabbe,
Patterns and Teleconnection Mechanisms of
Extreme Precipitation in Ethiopia during 1990-2020 (期刊标题故事Title
Story), Water, 15, 3874, 2023
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张之华, X. Xu, J. Crabbe, Wavelet and Earth Mover’s Distance
Coupling Denoising Techniques, Electronics, 12, 3588, 2023
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J. Wang, 张之华*, J. Crabbe, L.
Das, Response of Extreme Climate in South Asia under a G6sulfur scenario of
Climate Engineering, Atmosphere, 14:10, 1490, 2023.
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Y. Han, 张之华*, F. Kobe, The
Hybrid of Multilayer Perceptrons: A New Geostatistical Tool to Generate
High-Resolution Climate Maps in Developing Countries, Mathematics, 11:5, 1239,
2023.
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张之华, The Improvement of the Discrete Wavelet Transform, Mathematics,
11:8, 1770, 2023
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X. Xu, 张之华*, J. Crabbe,
Quaternion Quasi-Chebyshev Non-local Means for Color Image Denoising, Chin J.
Electronics, 32:3, 397-414, 2023
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Y. Han, 张之华*, J. Crabbe,
Generating High-resolution Climate Maps from Sparse and Irregular Observations
using a Novel Hybrid RBF Network, Big Earth Data, 7:4, 2023
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张之华, Y. Zhu, J. Crabbe, Impacts of Marine Cloud Brightening Scheme on
Climatic Extremes in the Tibetan Plateau, Open Geosciences, 15, 20220500, 2023
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L. Zhu, 张之华*, J. Crabbe, L.
Das, Optimization Hybrid of Multiple-Lag LSTM Networks for Meteorological
Prediction, Mathematics, 11, 4603, 2023
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X. Xu, 张之华*, J. Crabbe, Color Remote Sensing Image Restoration
through Singular-Spectra-Derived Self-Similarity Metrics, Electronics, 12,
4685, 2023
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L. Das, 张之华*, J. Crabbe,
Optimization of Data-Driven Soil Temperature Forecast--The First Model in Bangladesh,
Applied Sciences, 13, 12616, 2023
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张之华, Non-separable Meyer-like Wavelet Frames, Mathematics, 10:13, 2296,
2022
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张之华, Frequency domain of Weakly Translation Invariant Frame MRAs, Int.
J. Wavelets, Multiresolut. Inf. Process., 20:4, 2150059, 2022
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Y. Wu, 张之华*, J. Crabbe, L.
Das, Statistical Learning-based Spatial Downscaling Models for Precipitation
Distribution, Advances in Meteorology, 2022, 3140872, 2022
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L. Zhu, D. Yan*, 张之华*, G. Chi,
Financial Distress Prediction of Chinese Listed Companies using the Combination
of Optimization Model and Convolutional Neural Network, Mathematical Problems
in Engineering, 2022, 9038992, 2022