The machine learning based statistical emulators of GGCMI phase 2

A statistical emulator with machine learning algorithm to reproduce the response of year-to-year variation of four crop yield to CO₂ (C), temperature (T), water (W) and nitrogen (N) perturbations defined in the Global Gridded Crop Model Intercomparison Project (GGCMI) phase 2 experiment.一款搭载机器学习算法的统计模拟器（statistical emulator），用于复现全球网格化作物模型比对项目（Global Gridded Crop Model Intercomparison Project, GGCMI）第二阶段实验中定义的四类作物产量的年际变化对二氧化碳（CO₂, C）、温度（T）、水分（W）及氮素（N）扰动的响应。