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Predicting the Geothermal Heat Flux in Greenland: A Machine Learning Approach 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (24)
作者:  Rezvanbehbahani, Soroush;  Stearns, Leigh A.;  Kadivar, Amir;  Walker, J. Doug;  van der Veen, C. J.
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
Greenland ice sheet  geothermal heat flux  machine learning  
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (24)
作者:  Schneider, Tapio;  Lan, Shiwei;  Stuart, Andrew;  Teixeira, Joao
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
Earth system models  parameterizations  data assimilation  machine learning  Kalman inversion  Markov chain Monte Carlo  
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs 期刊论文
SCIENCE, 2017, 358 (6368)
作者:  George, Dileep;  Lehrach, Wolfgang;  Kansky, Ken;  Lazaro-Gredilla, Miguel;  Laan, Christopher;  Marthi, Bhaskara;  Lou, Xinghua;  Meng, Zhaoshi;  Liu, Yi;  Wang, Huayan;  Lavin, Alex;  Phoenix, D. Scott
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/27
Bayesian inverse modeling of the atmospheric transport and emissions of a controlled tracer release from a nuclear power plant 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (22)
作者:  Lucas, Donald D.;  Simpson, Matthew;  Cameron-Smith, Philip;  Baskett, Ronald L.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Conservation and relative habitat suitability for an arboreal mammal associated with old forest 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2017, 402: 43476
作者:  Linnell, Mark A.;  Davis, Raymond J.;  Lesmeister, Damon B.;  Swingle, James K.
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
LiDAR  Red tree vole  Relative habitat suitability modeling  Forest loss  Forest matrix  Conservation planning  
Full-flow-regime storage-streamflow correlation patterns provide insights into hydrologic functioning over the continental US 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (9)
作者:  Fang, Kuai;  Shen, Chaopeng
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
storage-streamflow relationship  base flow  GRACE  hydrologic signature  catchment classification  hydrologic machine learning  
Evaporation modelling using different machine learning techniques 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37
作者:  Wang, Lunche;  Kisi, Ozgur;  Hu, Bo;  Bilal, Muhammad;  Zounemat-Kermani, Mohammad;  Li, Hui
收藏  |  浏览/下载：11/0  |  提交时间：2019/04/09
pan evaporation  fuzzy genetic algorithm  ANFIS-GP  M5 model tree  cross-station application  
Machine learning algorithms for modeling groundwater level changes in agricultural regions of the US 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (5)
作者:  Sahoo, S.;  Russo, T. A.;  Elliott, J.;  Foster, I.
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
groundwater model  machine learning  irrigation demand  High Plains aquifer  Mississippi aquifer  climate  
Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data-driven error model 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (5)
作者:  Xu, Tianfang;  Valocchi, Albert J.;  Ye, Ming;  Liang, Feng
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
Bayesian calibration  uncertainty decomposition  model structural error  surrogate modeling  groundwater  
A machine learning nowcasting method based on real-time reanalysis data 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (7)
作者:  Han, Lei;  Sun, Juanzhen;  Zhang, Wei;  Xiu, Yuanyuan;  Feng, Hailei;  Lin, Yinjing
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
nowcasting  machine learning  convective storm