K. Fang

发表

The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics

J. Melack, Chaopeng Shen, W. Riley, 2016 .

Near-Real-Time Forecast of Satellite-Based Soil Moisture Using Long Short-Term Memory with an Adaptive Data Integration Kernel

Chaopeng Shen, K. Fang, 2020 .

Toward a Priori Evaluation of Relative Worth of Head and Conductivity Data as Functions of Data Densities in Inverse Groundwater Modeling

Chaopeng Shen, K. Fang, Nuan Sun, 2019, Water.

Revealing Causal Controls of Storage-Streamflow Relationships With a Data-Centric Bayesian Framework Combining Machine Learning and Process-Based Modeling

Chaopeng Shen, W. Tsai, X. Ji, 2020, Frontiers in Water.

The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology pdf

Daniel Kifer, Chaopeng Shen, Dapeng Feng, 2021, Water Resources Research.

HESS Opinions: Incubating deep-learning -powered science advances as a community

Daniel Kifer, F. Chang, A. Elshorbagy, 2018 .

Differentiable modeling to unify machine learning and physical models and advance Geosciences

Daniel Kifer, Chonggang Xu, M. Clark, 2023, ArXiv.

Combining a land surface model with groundwater model calibration to assess the impacts of groundwater pumping in a mountainous desert basin

C. Doughty, Chaopeng Shen, P. Godfrey, 2019, Advances in Water Resources.

Assessing the nexus between groundwater and solar energy plants in a desert basin with a dual-model approach under uncertainty

C. Doughty, Chaopeng Shen, P. Godfrey, 2017 .

Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model

Chaopeng Shen, Kuai Fang, Jie Niu, 2014, Environ. Model. Softw..

Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales pdf

Chaopeng Shen, Dapeng Feng, Kuai Fang, 2019, Water Resources Research.

The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning

Chaopeng Shen, Kuai Fang, Ming Pan, 2019, IEEE Transactions on Geoscience and Remote Sensing.

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018, Hydrology and Earth System Sciences.

Evaluating the Potential and Challenges of an Uncertainty Quantification Method for Long Short‐Term Memory Models for Soil Moisture Predictions

Daniel Kifer, Chaopeng Shen, K. Fang, 2020, Water Resources Research.

Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US

Chaopeng Shen, Kuai Fang, Chaopeng Shen, 2017 .

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

Xiao Yang, Daniel Kifer, Chaopeng Shen, 2017, 1707.06611.

Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE

Chaopeng Shen, Joshua B. Fisher, Jie Niu, 2016 .

Differentiable modelling to unify machine learning and physical models for geosciences

Daniel Kifer, M. Clark, H. Gupta, 2023, Nature Reviews Earth & Environment.

Evaluating the potential and challenges of an uncertainty quantification method for long short-term memory models for soil moisture predictions

Daniel Kifer, Chaopeng Shen, K. Fang, 2020 .

Impact of Water Use by Utility-Scale Solar on Groundwater Resources of the Chuckwalla Basin, CA: Final Modeling Report

C. Doughty, Chaopeng Shen, P. Godfrey, 2017 .

HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018 .