Big Data Mining for Climate Change

Prof. Zhang’s long-standing researches focus on big earth data, climate change mechanisms, ocean dynamics, environmental evolution and sustainability. Prof Zhang has published six books as first author: Ø Frame Theory in Data Science (Springer, 2024), Ø Environmental Data Analysis (DeGruyter, 2nd Edition, 2023), Ø Big Data Mining for Climate Change (Elsevier, 2020), Ø Patterns and Mechanisms of Climate, Paleoclimate and Paleoenvironmental Change from Low-Latitude Regions (Springer, 2019), Ø Multivariate Time Series Analysis in Climate & Environmental Research (Springer, 2018), Ø Mathematical and Physical Fundamentals of Climate Change (Elsevier, 2015)Prof. Zhang has published more than 80 articles, highlighting many times by New Scientist (UK), China Science Daily, and China Social Science Daily. Currently, Prof. Zhang is serving as an Editor-in-Chief of Int J Big Data Mining for Global Warming (World Scientific); an Associate Editor of Environ Dev Sustain (Springer), EURASIP J Adv Signal Process (Springer), and Int J Climate Change Strat & Manag (Emerald); and an Editorial Board Member of Earth Sci Informatics (Springer), PLoS ONE, Open Geosci (DeGruyter), Int J Global Warming (Indersci). Prof. Zhang is serving as the first track chair of Mediterranean Geosciences Union Annual Meeting (2021-now), and was invited as a plenary/keynote speaker at 2023 Mediterranean Geosciences Union Annual Meeting (Turkey) and 2024 International Conference on Intelligent Information Processing (Romania)Jianping Li, PhD, a full professor at Ocean University of China, Chair of the IUGG Union Commission on Climatic and Environmental Change (CCEC), President of the International Commission of Climate (ICCL)/IAMAS, Fellow of IUGG, Fellow of Royal Meteorological Society, an Affiliate Faculty of University of Hawaii, Executive Editor of Climate Dynamics, and Editor of a number of known climate journals. His major research interests include climate dynamics and climate change, monsoon, air-sea interaction and annular modes. He has published more than 400 peer-reviewed papers, and has edited several books.

• 1. Big Datasets and Platforms for Climate Change2. Feature Extraction of Big Climate Data3. Deep learning for Climate Patterns4. Climate Networks5. Random Networks and Climate Entropy6. Spectra of Climate Networks7. Simulations of Climate Systems8. Dimension reduction9. Big Data Analysis for Carbon Footprint10. Big Data Driven Low Carbon Management