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Machine Learning Predicts Reach-Scale Channel Types From Coarse-Scale Geospatial Data in a Large River Basin 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Guillon, Herve;  Byrne, Colin F.;  Lane, Belize A.;  Solis, Samuel Sandoval;  Pasternack, Gregory B.
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non-Gaussian Hydraulic Conductivities 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mo, Shaoxing;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Xiang, Zhongrun;  Yan, Jun;  Demir, Ibrahim
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Process-Guided Deep Learning Predictions of Lake Water Temperature 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Read, Jordan S.;  Jia, Xiaowei;  Willard, Jared;  Appling, Alison P.;  Zwart, Jacob A.;  Oliver, Samantha K.;  Karpatne, Anuj;  Hansen, Gretchen J. A.;  Hanson, Paul C.;  Watkins, William;  Steinbach, Michael;  Kumar, Vipin
收藏  |  浏览/下载：19/0  |  提交时间：2020/02/16
deep learning  lake modelling  temperature prediction  process-guided deep learning  theory-guided data science  data science  
Gradient-Based Inverse Estimation for a Rainfall-Runoff Model 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 6625-6639
作者:  Krapu, Christopher;  Borsuk, Mark;  Kumar, Mukesh
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/27
Improving Precipitation Estimation Using Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2301-2321
作者:  Pan, Baoxiang;  Hsu, Kuolin;  AghaKouchak, Amir;  Sorooshian, Soroosh
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
deep learning  precipitation  downscaling  
Remote Sensing of River Bathymetry: Evaluating a Range of Sensors, Platforms, and Algorithms on the Upper Sacramento River, California, USA 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2142-2169
作者:  Legleiter, Carl J.;  Harrison, Lee R.
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
remote sensing of rivers  bathymetric mapping  hyperspectral  unmanned aircraft system (UAS)  bathymetric LiDAR  satellite image data  
Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch? 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 1179-1195
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.;  Zhang, Zizhan;  Walling, David;  Bhanja, Soumendra N.;  Mukherjee, Abhijit;  Zhong, Zhi
收藏  |  浏览/下载：17/0  |  提交时间：2019/11/26
deep learning  GRACE  GLDAS  Unet  transfer learning  CNN  
The Impact of Landscape Characteristics on Groundwater Dissolved Organic Nitrogen: Insights From Machine Learning Methods and Sensitivity Analysis 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (7) : 4785-4804
作者:  Wang, B.;  Hipsey, M. R.;  Ahmed, S.;  Oldham, C.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
groundwater  dissolved organic nitrogen  urbanization  machine learning  sensitivity analysis