Big Data in Earth system science and progress towards a digital twin

Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems

(2023) Huanfeng Shen et al.   Science China-Earth Sciences

State-of-the-art survey on digital twin implementations

(2022) Y. K. Liu et al.   Advances in Manufacturing

Implementing an Open & FAIR data sharing policy—A case study in the earth and environmental sciences

(2022) Matthew Cannon et al.   LEARNED PUBLISHING

Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal

(2022) Khadijeh Alibabaei et al.   AGRICULTURAL WATER MANAGEMENT

Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar: Description and Preliminary Evaluation

(2022) T. Honda et al.   Journal of Advances in Modeling Earth Systems

The future of Earth system prediction: Advances in model-data fusion

(2022) Andrew Gettelman et al.   Science Advances

Causal Network Analysis

(2022) Weihua An et al.   Annual Review of Sociology

Super-resolution data assimilation

(2022) Sébastien Barthélémy et al.   OCEAN DYNAMICS

Deep-learning seismology

(2022) S. Mostafa Mousavi et al.   SCIENCE

Combined Sewer Overflow and Flooding Mitigation Through a Reliable Real‐Time Control Based on Multi‐Reinforcement Learning and Model Predictive Control

(2022) Wenchong Tian et al.   WATER RESOURCES RESEARCH

The small scales of the ocean may hold the key to surprises

(2022) Helene Hewitt et al.   Nature Climate Change

Measuring and evaluating SDG indicators with Big Earth Data

(2022) Huadong Guo et al.   Science Bulletin

Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting

(2022) Sibo Cheng et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Exceeding 1.5°C global warming could trigger multiple climate tipping points

(2022) David I. Armstrong McKay et al.   SCIENCE

Compression Supports Spatial Deep Learning

(2022) Gabriel Dax et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models

(2022) Sibo Cheng et al.   JOURNAL OF SCIENTIFIC COMPUTING

Rethinking Arctic sustainable development agenda through indigenizing UN sustainable development goals

(2021) Tatiana S. Degai et al.   INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY

Big Earth Data: a practice of sustainability science to achieve the Sustainable Development Goals

(2021) Huadong Guo et al.   Science Bulletin

Physics-informed machine learning: case studies for weather and climate modelling

(2021) K. Kashinath et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Learning earth system models from observations: machine learning or data assimilation?

(2021) A. J. Geer   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

(2021) Tom Beucler et al.   PHYSICAL REVIEW LETTERS

A digital twin of Earth for the green transition

(2021) Peter Bauer et al.   Nature Climate Change

The Deep-time Digital Earth program: data-driven discovery in geosciences

(2021) Chengshan Wang et al.   National Science Review

A reinforcement learning approach to irrigation decision-making for rice using weather forecasts

(2021) Mengting Chen et al.   AGRICULTURAL WATER MANAGEMENT

Multi-agent deep reinforcement learning: a survey

(2021) Sven Gronauer et al.   ARTIFICIAL INTELLIGENCE REVIEW

Overshooting tipping point thresholds in a changing climate

(2021) Paul D. L. Ritchie et al.   NATURE

Quantifying causal pathways of teleconnections

(2021) Marlene Kretschmer et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Detecting Climate Teleconnections With Granger Causality

(2021) Filipi N. Silva et al.   GEOPHYSICAL RESEARCH LETTERS

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Human social sensing is an untapped resource for computational social science

(2021) Mirta Galesic et al.   NATURE

Boosting geoscience data sharing in China

(2021) Xin Li et al.   Nature Geoscience

Origin, Accretion, and Reworking of Continents

(2021) Rixiang Zhu et al.   REVIEWS OF GEOPHYSICS

Deep Learning for Geophysics: Current and Future Trends

(2021) Siwei Yu et al.   REVIEWS OF GEOPHYSICS

Assessing Adaptive Irrigation Impacts on Water Scarcity in Nonstationary Environments—A Multi‐Agent Reinforcement Learning Approach

(2021) Fengwei Hung et al.   WATER RESOURCES RESEARCH

A Comparison of Monoscopic and Stereoscopic 3D Visualizations: Effect on Spatial Planning in Digital Twins

(2021) Lukáš Herman et al.   Remote Sensing

Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing

(2021) Heechul Jung et al.   IEEE Geoscience and Remote Sensing Letters

Causal inference for time series analysis: problems, methods and evaluation

(2021) Raha Moraffah et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Skilful precipitation nowcasting using deep generative models of radar

(2021) Suman Ravuri et al.   NATURE

Geoengineering: Symmetric precaution

(2021) Edward A. Parson   SCIENCE

Information geography: The information revolution reshapes geography

(2021) Xin Li et al.   Science China-Earth Sciences

Data Learning: Integrating Data Assimilation and Machine Learning

(2021) Caterina Buizza et al.   Journal of Computational Science

Summary of “the past, present and future of the habitable Earth: Development strategy of Earth science”

(2021) Rixiang Zhu et al.   Kexue Tongbao/Chinese Science Bulletin

Social tipping dynamics for stabilizing Earth’s climate by 2050

(2020) Ilona M. Otto et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity

(2020) Jun-xuan Fan et al.   SCIENCE

Machine Learning in Geo- and Environmental Sciences: From Small to Large Scale

(2020) Pejman Tahmasebi et al.   ADVANCES IN WATER RESOURCES

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Harmonizing models and observations: Data assimilation in Earth system science

(2020) Xin Li et al.   Science China-Earth Sciences

Improving Hydrological Models With the Assimilation of Crowdsourced Data

(2020) P. M. Avellaneda et al.   WATER RESOURCES RESEARCH

Causal networks for climate model evaluation and constrained projections

(2020) Peer Nowack et al.   Nature Communications

Causal effects of population dynamics and environmental changes on spatial variability of marine fishes

(2020) Jheng-Yu Wang et al.   Nature Communications

Deep reinforcement learning for the real time control of stormwater systems

(2020) Abhiram Mullapudi et al.   ADVANCES IN WATER RESOURCES

Applications of artificial intelligence for disaster management

(2020) Wenjuan Sun et al.   NATURAL HAZARDS

Land cover mapping toward finer scales

(2020) Min Feng et al.   Science Bulletin

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

Europe builds ‘digital twin’ of Earth to hone climate forecasts

(2020) Paul Voosen   SCIENCE

An Ensemble Learning Approach for Urban Land Use Mapping Based on Remote Sensing Imagery and Social Sensing Data

(2020) Zhou Huang et al.   Remote Sensing

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

(2020) Thanh Thi Nguyen et al.   IEEE Transactions on Cybernetics

Biofilm dynamics: linking in situ biofilm biomass and metabolic activity measurements in real-time under continuous flow conditions

(2020) Kyle B. Klopper et al.   npj Biofilms and Microbiomes

Unravelling the teleconnections between ENSO and dry/wet conditions over India using nonlinear Granger causality

(2020) Vivek Gupta et al.   ATMOSPHERIC RESEARCH

Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

(2020) Sid-Ahmed Boukabara et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Machine Learning for Earth System Observation and Prediction

(2020) Massimo Bonavita et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Mastering Atari, Go, chess and shogi by planning with a learned model

(2020) Julian Schrittwieser et al.   NATURE

WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF

(2020) Yanfei Zhong et al.   REMOTE SENSING OF ENVIRONMENT

The importance of sharing global forest data in a world of crises

(2020) Jingjing Liang et al.   Scientific Data

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

(2020) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network

(2020) Jussi Leinonen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

The value of empirical data for estimating the parameters of a socio-hydrological flood risk model

(2019) M. H. Barendrecht et al.   WATER RESOURCES RESEARCH

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

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

(2019) Markus Reichstein et al.   NATURE

The seven tools of causal inference, with reflections on machine learning

(2019) Judea Pearl   COMMUNICATIONS OF THE ACM

Digital Twin in Industry: State-of-the-Art

(2019) Fei Tao et al.   IEEE Transactions on Industrial Informatics

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Inferring causation from time series in Earth system sciences

(2019) Jakob Runge et al.   Nature Communications

Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data

(2019) Junhwa Chi et al.   REMOTE SENSING OF ENVIRONMENT

DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains

(2019) Bjorn Stevens et al.   Progress in Earth and Planetary Science

A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation

(2019) Qiuru Zhang et al.   ADVANCES IN WATER RESOURCES

A survey and critique of multiagent deep reinforcement learning

(2019) Pablo Hernandez-Leal et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

Process‐Guided Deep Learning Predictions of Lake Water Temperature

(2019) Jordan S. Read et al.   WATER RESOURCES RESEARCH

Detecting and quantifying causal associations in large nonlinear time series datasets

(2019) Jakob Runge et al.   Science Advances

Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

(2019) Felix M. Strnad et al.   CHAOS

Physics‐Constrained Machine Learning of Evapotranspiration

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

Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images

(2019) Lingcao Huang et al.   REMOTE SENSING OF ENVIRONMENT

No pixel left behind: Toward integrating Earth Observations for agriculture into the United Nations Sustainable Development Goals framework

(2019) Alyssa K. Whitcraft et al.   REMOTE SENSING OF ENVIRONMENT

Machine Learning Seismic Wave Discrimination: Application to Earthquake Early Warning

(2018) Zefeng Li et al.   GEOPHYSICAL RESEARCH LETTERS

Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

(2018) S. Pathiraja et al.   WATER RESOURCES RESEARCH

Data assimilation in the geosciences: An overview of methods, issues, and perspectives

(2018) Alberto Carrassi et al.   Wiley Interdisciplinary Reviews-Climate Change

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Deep learning based seismic data interpolation: a preliminary result

(2018) Benfeng Wang et al.   GEOPHYSICS

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

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Causal decomposition in the mutual causation system

(2018) Albert C. Yang et al.   Nature Communications

Evaluating climate geoengineering proposals in the context of the Paris Agreement temperature goals

(2018) Mark G. Lawrence et al.   Nature Communications

Toward Data‐Driven Weather and Climate Forecasting: Approximating a Simple General Circulation Model With Deep Learning

(2018) S. Scher   GEOPHYSICAL RESEARCH LETTERS

Machine Learning in Seismology: Turning Data into Insights

(2018) Qingkai Kong et al.   SEISMOLOGICAL RESEARCH LETTERS

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

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

Digital twin-driven product design, manufacturing and service with big data

(2017) Fei Tao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Social Media: New Perspectives to Improve Remote Sensing for Emergency Response

(2017) Jun Li et al.   PROCEEDINGS OF THE IEEE

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Ecosystem management as a wicked problem

(2017) Ruth DeFries et al.   SCIENCE

Confounding factors in determining causal soil moisture-precipitation feedback

(2017) Samuel E. Tuttle et al.   WATER RESOURCES RESEARCH

Climate goals and computing the future of clouds

(2017) Tapio Schneider et al.   Nature Climate Change

Learning causality and causality-related learning: some recent progress

(2017) Kun Zhang et al.   National Science Review

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Causal Counterfactual Theory for the Attribution of Weather and Climate-Related Events

(2016) A. Hannart et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

“Big Data Assimilation” Revolutionizing Severe Weather Prediction

(2016) Takemasa Miyoshi et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Big Earth Data: a new challenge and opportunity for Digital Earth’s development

(2016) Huadong Guo et al.   International Journal of Digital Earth

Using Causal Effect Networks to Analyze Different Arctic Drivers of Midlatitude Winter Circulation

(2016) Marlene Kretschmer et al.   JOURNAL OF CLIMATE

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Climate change as a wicked social problem

(2016) Reiner Grundmann   Nature Geoscience

Causal inference and the data-fusion problem

(2016) Elias Bareinboim et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Bidirectional coupling between the Earth and human systems is essential for modeling sustainability

(2016) Bojie Fu et al.   National Science Review

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

Dynamic calibration of agent-based models using data assimilation

(2016) Jonathan A. Ward et al.   Royal Society Open Science

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China

(2016) Ying Huang et al.   PLoS One

Exascale computing and big data

(2015) Daniel A. Reed et al.   COMMUNICATIONS OF THE ACM

Defining the Anthropocene

(2015) Simon L. Lewis et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Association, correlation and causation

(2015) Naomi Altman et al.   NATURE METHODS

Integrated research methods in watershed science

(2015) GuoDong Cheng et al.   Science China-Earth Sciences

Identifying causal gateways and mediators in complex spatio-temporal systems

(2015) Jakob Runge et al.   Nature Communications

Causal feedbacks in climate change

(2015) Egbert H. van Nes et al.   Nature Climate Change

Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test

(2015) Bo Jiang et al.   Journal of Geophysical Research-Biogeosciences

Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?

(2014) Clifford F. Mass et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

The 10,240-member ensemble Kalman filtering with an intermediate AGCM

(2014) Takemasa Miyoshi et al.   GEOPHYSICAL RESEARCH LETTERS

Challenges of Big Data analysis

(2014) Jianqing Fan et al.   National Science Review

Detecting Causality in Complex Ecosystems

(2012) G. Sugihara et al.   SCIENCE

Modeling human decisions in coupled human and natural systems: Review of agent-based models

(2011) Li An   ECOLOGICAL MODELLING

A safe operating space for humanity

(2009) Johan Rockström et al.   NATURE