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怀俄明州大学创建具有更好探测能力的地震系统模型 快报文章
地球科学快报，2021年第20期
作者:  王晓晨
Microsoft Word(16Kb)  |  收藏  |  浏览/下载：380/0  |  提交时间：2021/10/25
Machine learning model  Earthquake Detection and Location  
机器学习模型使全球滑坡“实时预报”的准确性翻倍 快报文章
地球科学快报，2021年第13期
作者:  王立伟
Microsoft Word(15Kb)  |  收藏  |  浏览/下载：446/0  |  提交时间：2021/07/08
Machine learning model  landslide  
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Ahmed, Kamal;  Sachindra, D. A.;  Shahid, Shamsuddin;  Iqbal, Zafar;  Nawaz, Nadeem;  Khan, Najeebullah
收藏  |  浏览/下载：16/0  |  提交时间：2020/07/02
General circulation models  Multi-model ensemble  Taylor skill score  Machine learning algorithms  Temperature and precipitation  Pakistan  
Tracking Pyrometeors With Meteorological Radar Using Unsupervised Machine Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (8)
作者:  McCarthy, N. F.;  Guyot, A.;  Protat, A.;  Dowdy, A. J.;  McGowan, H.
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
Wildfire  Radar  Pyrometeor  Machine Learning  Gaussian Mixture Model  Hydrometeor  
Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Leng, Guoyong;  Hall, Jim W.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
climate change  crop yield  machine learning  statistical model  crop model  
Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia 期刊论文
ATMOSPHERIC RESEARCH, 2020, 233
作者:  Pour, Sahar Hadi;  Abd Wahab, Ahmad Khairi;  Shahid, Shamsuddin
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
Extreme rainfall  Climate forecasting  Physical-empirical model  Machine learning algorithm  Recursive feature elimination  
Detecting Climate Change Effects on Vb Cyclones in a 50-Member Single-Model Ensemble Using Machine Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Mittermeier, M.;  Braun, M.;  Hofstaetter, M.;  Wang, Y.;  Ludwig, R.
收藏  |  浏览/下载：13/0  |  提交时间：2020/02/17
Vb-cyclones  Machine Learning  Artificial Neural Networks (ANN)  Single-Model Large Ensembles  Internal Variability  Floods  
Evaluation and machine learning improvement of global hydrological model-based flood simulations 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Yang, Tao;  Sun, Fubao;  Gentine, Pierre;  Liu, Wenbin;  Wang, Hong;  Yin, Jiabo;  Du, Muye;  Liu, Changming
收藏  |  浏览/下载：9/0  |  提交时间：2020/02/17
flood simulation  machine learning  global hydrological model  long short-term memory  
Predicting geogenic Arsenic in Drinking Water Wells in Glacial Aquifers, North-Central USA: Accounting for Depth-Dependent Features 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (12) : 10172-10187
作者:  Erickson, M. L.;  Elliott, S. M.;  Christenson, C. A.;  Krall, A. L.
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
groundwater  arsenic  probability model  geochemistry  machine learning  domestic well  
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：3/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine