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Estimating Regional Ground-Level PM2.5 Directly From Satellite Top-Of-Atmosphere Reflectance Using Deep Belief Networks 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (24) : 13875-13886
作者:  Shen, Huanfeng;  Li, Tongwen;  Yuan, Qiangqiang;  Zhang, Liangpei
收藏  |  浏览/下载：9/0  |  提交时间：2019/04/09
PM2  5  satellite remote sensing  TOA reflectance  deep learning  
Quantifying driving factors of vegetation carbon stocks of Moso bamboo forests using machine learning algorithm combined with structural equation model 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 429: 406-413
作者:  Shi, Yongjun;  Xu, Lin;  Zhou, Yufeng;  Ji, Biyong;  Zhou, Guomo;  Fang, Huiyun;  Yin, Jiayang;  Deng, Xu
收藏  |  浏览/下载：9/0  |  提交时间：2019/04/09
Vegetation carbon stocks  Carbon sequestration  Driving factors  Machine learning method  Structural equation modeling  Phyllostachys pubescens  
Toward Data-Driven Weather and Climate Forecasting: Approximating a Simple General Circulation Model With Deep Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (22) : 12616-12622
作者:  Scher, S.
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/09
machine learning  weather prediction  neural networks  deep learning  climate models  
Predictability of Extreme Precipitation in Western US Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (21) : 11693-11701
作者:  Chen, Xiaodong;  Leung, L. Ruby;  Gao, Yang;  Liu, Ying;  Wigmosta, Mark;  Richmond, Marshall
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting 期刊论文
ATMOSPHERIC RESEARCH, 2018, 213: 450-464
作者:  Ali, Mumtaz;  Deo, Ravinesh C.;  Downs, Nathan J.;  Maraseni, Tek
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
Rainfall forecasting  Markov chain Monte Carlo simulation  Copulas  Bat algorithm  OS-ELM  ELM  And RF  
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4891-4902
作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony;  Yu, Qiang
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine  
Improvement of rainfall estimation from MSG data using Random Forests classification and regression 期刊论文
ATMOSPHERIC RESEARCH, 2018, 211: 62-72
作者:  Ouallouche, Fethi;  Lazri, Mourad;  Ameur, Soltane
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/09
Rainfall estimation  Learning machine  Random Forest (RF)  Meteosat Second Generation (MSG)  
Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (10)
作者:  Nowack, Peer;  Braesicke, Peter;  Haigh, Joanna;  Abraham, Nathan Luke;  Pyle, John;  Voulgarakis, Apostolos
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
climate change  climate sensitivity  ozone  parameterization  machine learning  big data  climate modeling  
Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (10) : 4709-4717
作者:  Wang, Xuhui;  Ciais, Philippe;  Wang, Yilong;  Zhu, Dan
收藏  |  浏览/下载：9/0  |  提交时间：2019/04/09
climate sensitivity  dry season  gross primary productivity  NDVI  tropical vegetation  wet season  
Machine learning for environmental monitoring 期刊论文
NATURE SUSTAINABILITY, 2018, 1 (10) : 583-588
作者:  Hino, M.;  Benami, E.;  Brooks, N.
收藏  |  浏览/下载：5/0  |  提交时间：2020/08/19