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

Water resources research, 2020-09, Vol.56 (9), p.n/a

2020

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

Journal of hydrometeorology, 2020-03, Vol.21 (3), p.399-413

2020

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

IEEE transactions on geoscience and remote sensing, 2019-04, Vol.57 (4), p.2221-2233

2019

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

Water resources research, 2020-12, Vol.56 (12), p.n/a

2020

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

Geophysical research letters, 2017-11, Vol.44 (21), p.11,030-11,039

2017

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

Water resources research, 2022-04, Vol.58 (4), p.n/a

2022

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

Hydrology and earth system sciences, 2018-11, Vol.22 (11), p.5639-5656

2018

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

Environmental modelling & software : with environment data news, 2014-09, Vol.59, p.146-161

2014

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

Water resources research, 2016-02, Vol.52 (2), p.880-902

2016

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

Water resources research, 2017-09, Vol.53 (9), p.8064-8083

2017

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Effect of sacubitril valsartan on cardiac function and endothelial function in patients with chronic heart failure with reduced ejection fraction

Clinical hemorheology and microcirculation, 2021-01, Vol.77 (4), p.425-433

2021

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

Water (Basel), 2019-06, Vol.11 (6), p.1202

2019

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

Frontiers in water, 2020-11, Vol.2

2020

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Blood pH in coronary artery microthrombosis of rats

Asian Pacific journal of tropical medicine, 2015-10, Vol.8 (10), p.844-849

2015

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

Journal of hydrometeorology, 2020-03, Vol.21 (3)

2020

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

Water resources research, 2017-09, Vol.53 (9), p.8064-8083

2017

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

Water resources research, 2020-06, Vol.56 (9)

2020

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

Water resources research, 2022-03, Vol.58 (4)

2022

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

Water resources research, 2016-07, Vol.52 (7), p.5537-5554

2016

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

Advances in water resources, 2019-08, Vol.130 (C), p.12-28

2019

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Differentiable modelling to unify machine learning and physical models for geosciences

Nature reviews. Earth & environment, 2023-08, Vol.4 (8), p.552-567

2023

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

Advances in water resources, 2019-08, Vol.130 (C)

2019

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Understanding Hydrologic Functions of Water Storage and Soil Moisture and Improving Predictive Capability Using Big Data Machine Learning Methods

Fang, Kuai

2018

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Analysis and countermeasure comparing with opponent offence and defence ability study 15th world man's basketball championship contest Chinese team

Kuai, Fang

2007

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Lamin-like Proteins Negatively Regulate Plant Immunity through NAC WITH TRANSMEMBRANE MOTIF1-LIKE9 and NONEXPRESSOR OF PR 3ENES1 in Arabidopsis thaliana

分子植物：英文版, 2017, Vol.10 (10), p.1334-1348

2017

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

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

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

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

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

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

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

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

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

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

Effect of sacubitril valsartan on cardiac function and endothelial function in patients with chronic heart failure with reduced ejection fraction

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

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

Blood pH in coronary artery microthrombosis of rats

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

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

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

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

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

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

Differentiable modelling to unify machine learning and physical models for geosciences

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

Understanding Hydrologic Functions of Water Storage and Soil Moisture and Improving Predictive Capability Using Big Data Machine Learning Methods

Analysis and countermeasure comparing with opponent offence and defence ability study 15th world man's basketball championship contest Chinese team

Lamin-like Proteins Negatively Regulate Plant Immunity through NAC WITH TRANSMEMBRANE MOTIF1-LIKE9 and NONEXPRESSOR OF PR 3ENES1 in Arabidopsis thaliana

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