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

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

(2019) Alexander Y. Sun et al.   WATER RESOURCES RESEARCH

Taking climate model evaluation to the next level

(2019) Veronika Eyring et al.   Nature Climate Change

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

(2019) Markus Reichstein et al.   NATURE

Streamflow, stomata, and soil pits: Sources of inference for complex models with fast, robust uncertainty quantification

(2019) M. Chase Dwelle et al.   ADVANCES IN WATER RESOURCES

How can big data and machine learning benefit environment and water management: A survey of methods, applications, and future directions

(2019) Alexander Y. Sun et al.   Environmental Research Letters

Uncovering Ecological Patterns with Convolutional Neural Networks

(2019) Philip G. Brodrick et al.   TRENDS IN ECOLOGY & EVOLUTION

A century of nonlinearity in the geosciences

(2019) Michael Ghil   Earth and Space Science

Machine Learning for the Geosciences: Challenges and Opportunities

(2019) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Estimation of Base Flow by Optimal Hydrograph Separation for the Conterminous United States and Implications for National-Extent Hydrologic Models

(2019) Sydney S. Foks et al.   Water

Physics‐Constrained Machine Learning of Evapotranspiration

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

Deep learning for physical processes: incorporating prior scientific knowledge

(2019) Emmanuel de Bézenac et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

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

(2019) Frederik Kratzert et al.   WATER RESOURCES RESEARCH

DGM: A deep learning algorithm for solving partial differential equations

(2018) Justin Sirignano et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep learning to represent subgrid processes in climate models

(2018) Stephan Rasp et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Intelligent systems for geosciences

(2018) Yolanda Gil et al.   COMMUNICATIONS OF THE ACM

Snowpack Change From 1982 to 2016 Over Conterminous United States

(2018) Xubin Zeng et al.   GEOPHYSICAL RESEARCH LETTERS

Similarity of fast and slow earthquakes illuminated by machine learning

(2018) Claudia Hulbert et al.   Nature Geoscience

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

(2018) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Benchmarking of a Physically Based Hydrologic Model

(2017) Andrew J. Newman et al.   JOURNAL OF HYDROMETEOROLOGY

Dominant flood generating mechanisms across the United States

(2016) Wouter R. Berghuijs et al.   GEOPHYSICAL RESEARCH LETTERS

Big Data and cloud computing: innovation opportunities and challenges

(2016) Chaowei Yang et al.   International Journal of Digital Earth

Comparison of climate datasets for lumped hydrological modeling over the continental United States

(2016) Gilles R.C. Essou et al.   JOURNAL OF HYDROLOGY

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

(2016) Simone Fatichi et al.   JOURNAL OF HYDROLOGY

The quiet revolution of numerical weather prediction

(2015) Peter Bauer et al.   NATURE

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

State-space modeling for seismic signal analysis

(2013) Hui Peng et al.   APPLIED MATHEMATICAL MODELLING

A decade of Predictions in Ungauged Basins (PUB)—a review

(2013) M. Hrachowitz et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Global patterns in base flow index and recession based on streamflow observations from 3394 catchments

(2013) Hylke E. Beck et al.   WATER RESOURCES RESEARCH

Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior

(2013) J. D. Herman et al.   WATER RESOURCES RESEARCH

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

(2012) Sopan Patil et al.   HYDROLOGICAL PROCESSES

Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods

(2012) Tara Razavi et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Independent effects of temperature and precipitation on modeled runoff in the conterminous United States

(2011) Gregory J. McCabe et al.   WATER RESOURCES RESEARCH

A novel method to estimate model uncertainty using machine learning techniques

(2009) Dimitri P. Solomatine et al.   WATER RESOURCES RESEARCH

Regional estimation of base flow for the conterminous United States by hydrologic landscape regions

(2008) C. Santhi et al.   JOURNAL OF HYDROLOGY

Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments

(2008) Ludovic Oudin et al.   WATER RESOURCES RESEARCH

A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model

(2008) Koray K. Yilmaz et al.   WATER RESOURCES RESEARCH

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS