Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method

On the principles of Parsimony and Self-consistency for the emergence of intelligence

(2022) Yi Ma et al.   Frontiers of Information Technology & Electronic Engineering

The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset

(2021) Georgy Ayzel et al.   COMPUTERS & GEOSCIENCES

Daily runoff forecasting by deep recursive neural network

(2021) Jiangwei Zhang et al.   JOURNAL OF HYDROLOGY

Evolution characteristics of potential evapotranspiration over the Three-River Headwaters Region

(2021) Zhipeng Jiang et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments

(2021) Shijie Jiang et al.   WATER RESOURCES RESEARCH

Development of a Deep Learning Emulator for a Distributed Groundwater–Surface Water Model: ParFlow-ML

(2021) Hoang Tran et al.   Water

An enhanced rainfall–runoff model with coupled canopy interception

(2020) Wanghai Tao et al.   HYDROLOGICAL PROCESSES

Soil structure is an important omission in Earth System Models

(2020) Simone Fatichi et al.   Nature Communications

A comparative study among machine learning and numerical models for simulating groundwater dynamics in the Heihe River Basin, northwestern China

(2020) Chong Chen et al.   Scientific Reports

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Hydrologically Informed Machine Learning for Rainfall‐Runoff Modeling: A Genetic Programming‐Based Toolkit for Automatic Model Induction

(2020) Jayashree Chadalawada et al.   WATER RESOURCES RESEARCH

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

(2020) Shijie Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales

(2020) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China

(2020) Zhaoqiang Zhou et al.   JOURNAL OF HYDROLOGY

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Estimating model inadequacy in ordinary differential equations with physics-informed neural networks

(2020) Felipe A.C. Viana et al.   COMPUTERS & STRUCTURES

Global patterns and dynamics of climate–groundwater interactions

(2019) M. O. Cuthbert et al.   Nature Climate Change

Advancing opportunistic sensing in hydrology: a novel approach to measuring rainfall with ordinary surveillance cameras

(2019) Shijie Jiang et al.   WATER RESOURCES RESEARCH

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

Improving Snow Water Equivalent Maps With Machine Learning of Snow Survey and Lidar Measurements

(2019) Patrick D. Broxton et al.   WATER RESOURCES RESEARCH

Soil Functions: Connecting Earth's Critical Zone

(2019) Steven A. Banwart et al.   Annual Review of Earth and Planetary Sciences

Physics‐Constrained Machine Learning of Evapotranspiration

(2019) Wen Li Zhao et al.   GEOPHYSICAL RESEARCH LETTERS

Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning

(2019) Frederik Kratzert et al.   WATER RESOURCES RESEARCH

Remediation of soil and water contaminated with petroleum hydrocarbon: A review

(2019) Innocent Chukwunonso Ossai et al.   Environmental Technology & Innovation

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Investigating ‘risk’ of groundwater drought occurrences by using reliability analysis

(2018) Sina Sadeghfam et al.   ECOLOGICAL INDICATORS

Groundwater Pumping Impacts on Real Stream Networks: Testing the Performance of Simple Management Tools

(2018) Samuel C. Zipper et al.   WATER RESOURCES RESEARCH

A computer vision-based approach to fusing spatiotemporal data for hydrological modeling

(2018) Shijie Jiang et al.   JOURNAL OF HYDROLOGY

A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

(2018) Suning Liu et al.   WATER RESOURCES MANAGEMENT

Aquifer Recharge Using a Vadose Zone Infiltration Well

(2018) Xiuyu Liang et al.   WATER RESOURCES RESEARCH

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Genetic Programming Approach to System Identification of Rainfall-Runoff Models

(2017) Jayashree Chadalawada et al.   WATER RESOURCES MANAGEMENT

Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

(2017) S. Sahoo et al.   WATER RESOURCES RESEARCH

An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

(2016) Simone Fatichi et al.   JOURNAL OF HYDROLOGY

Simulation of future groundwater recharge using a climate model ensemble and SAR-image based soil parameter distributions — A case study in an intensively-used Mediterranean catchment

(2016) Frank Herrmann et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improving the representation of hydrologic processes in Earth System Models

(2015) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies

(2015) Martyn P. Clark et al.   WATER RESOURCES RESEARCH

Global Patterns of Groundwater Table Depth

(2013) Y. Fan et al.   SCIENCE

Modelling daily streamflow at ungauged catchments: what information is necessary?

(2012) Sopan Patil et al.   HYDROLOGICAL PROCESSES

An empirical method for approximating canopy throughfall

(2012) Dieu Huong Trinh et al.   HYDROLOGICAL PROCESSES

Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al.

(2011) Keith J. Beven et al.   WATER RESOURCES RESEARCH

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Introducing knowledge into learning based on genetic programming

(2009) Vladan Babovic   JOURNAL OF HYDROINFORMATICS