Development and application of land surface models (LSMs), including 'hybrid modelling' that integrates process-based model (PBMs) with artificial intelligence (AI).
We are an interdisciplinary research group whose work aims tointegrate complex earth system models and machine learningtechniques to study the cycles of key elements such as carbonwater,nitrogen and phosphorusin terrestrial ecosystems andtheir interaction.
Our work provides scientific support for achieving sustainablemanagement ofecosystems and addressing the challenges ofglobal change.
We are a dynamic team that supports free exploration, innova-tion, and a diverse research environment that allows everyoneto improve themselves.
We are an interdisciplinary research group whose work aims tointegrate complex earth system models and machine learningtechniques to study the cycles of key elements such as carbonwater,nitrogen and phosphorusin terrestrial ecosystems andtheir interaction.
Our work provides scientific support for achieving sustainablemanagement ofecosystems and addressing the challenges ofglobal change.
We are a dynamic team that supports free exploration, innova-tion, and a diverse research environment that allows everyoneto improve themselves.
focus on biogeochemical cycles through different component of the Earth system, mostly carbon, nitrogen andphosphorus. l use mechanistic models, machine learning, data synthesis, data assimilation, field and laboratory ex-periments to answer biogeochemical cycle related questions, spanning from soil microbes, plants, fish to ecosystem.globalland and the earth system.
Education : Ph.D., Soil and Water Sciences, University of Florida, Dec, 2015. M.s., Ecology, Research Center for Eco-en.vrionmnetal Sciences, Chinese Academy of Sciences, 2011. University of Florida, Dec, 2015.B.S., Environmental Science, School of Resources and Environmental Science, Wuhan University,2008.
Recruitment Majors : Ecology, Physical Geography, GlS, Computer Science and Modeling, etc.
Recruitment Directions : Terrestrial Carbon, Water, Nitrogen, and Phosphorus Processes, Ecological Modeling, BigData Analvsis, Ecological Forecasting, Model-Data Integration, Biogeochemical Numerical Simulation, MachineLearning.
Email : huangyy@igsnrr.ac.cn
focus on biogeochemical cycles through different component of the Earth system, mostly carbon, nitrogen andphosphorus. l use mechanistic models, machine learning, data synthesis, data assimilation, field and laboratory ex-periments to answer biogeochemical cycle related questions, spanning from soil microbes, plants, fish to ecosystem.globalland and the earth system.
Education : Ph.D., Soil and Water Sciences, University of Florida, Dec, 2015. M.s., Ecology, Research Center for Eco-en.vrionmnetal Sciences, Chinese Academy of Sciences, 2011. University of Florida, Dec, 2015.B.S., Environmental Science, School of Resources and Environmental Science, Wuhan University,2008.
Recruitment Majors : Ecology, Physical Geography, GlS, Computer Science and Modeling, etc.
Recruitment Directions : Terrestrial Carbon, Water, Nitrogen, and Phosphorus Processes, Ecological Modeling, BigData Analvsis, Ecological Forecasting, Model-Data Integration, Biogeochemical Numerical Simulation, MachineLearning.
Email : huangyy@igsnrr.ac.cn
Development and application of land surface models (LSMs), including 'hybrid modelling' that integrates process-based model (PBMs) with artificial intelligence (AI).
My current research focuses on CO2 emissions from land use change, land carbon budgets, extreme temperature variations, and the analysis of ecological and remote sensing data.
Development of soil multi-process tracers and a Microbial Aggregate Biophysical Coupling (MABC) model
Exploring the soil mineral control mechanisms of Soil Organic Carbon (SOC) stabilization and developing the new SOC model.
Multi-source data analysis for global forest biomass retention and loss
Precipitation variability and its effect on vegetation based on ORCHIDEE
My research interests include the terrestrial carbon cycle, temperature variability, rainfall variability, extreme events, and ecosystem services.
focusing on global characteristics and impacts of compound extreme weather events
Study on the resilience effects of flash drought and slow drought on terrestrial ecosystems
Study of changes in the spatial and temporal distribution of extreme precipitation
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