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

Coupling Model- and Data-Driven Methods for Remote Sensing Image Restoration and Fusion: Improving physical interpretability

(2022) Huanfeng Shen et al.   IEEE Geoscience and Remote Sensing Magazine

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

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI

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

Deep Learning for Daily Precipitation and Temperature Downscaling

(2021) Fang Wang et al.   WATER RESOURCES RESEARCH

Using machine learning to correct model error in data assimilation and forecast applications

(2021) Alban Farchi et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Terrestrial carbon cycle model-data fusion: Progress and challenges

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

Geographic modeling and simulation systems for geographic research in the new era: Some thoughts on their development and construction

(2021) Min Chen et al.   Science China-Earth Sciences

30 m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: From 1972 to 2019

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

Geoscience knowledge graph in the big data era

(2021) Chenghu Zhou et al.   Science China-Earth Sciences

A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅

(2021) Tongwen Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Information geography: The information revolution reshapes geography

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

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data

(2020) Huanfeng Shen et al.   REMOTE SENSING OF ENVIRONMENT

Application of deep learning in ecological resource research: Theories, methods, and challenges

(2020) Qinghua Guo et al.   Science China-Earth Sciences

A review of the estimation of downward surface shortwave radiation based on satellite data: Methods, progress and problems

(2020) Husi Letu et al.   Science China-Earth Sciences

Harmonizing models and observations: Data assimilation in Earth system science

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

Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5

(2020) Tongwen Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model

(2020) Yohei Sawada   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Machine Learning for Model Error Inference and Correction

(2020) Massimo Bonavita et al.   Journal of Advances in Modeling Earth Systems

Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

(2020) Renwei Dian et al.   IEEE Transactions on Neural Networks and Learning Systems

Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation

(2019) Thomas Bolton et al.   Journal of Advances in Modeling Earth Systems

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

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

(2019) Aleksandra Wolanin et al.   REMOTE SENSING OF ENVIRONMENT

Machine Learning for the Geosciences: Challenges and Opportunities

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

Evaluation of Machine Learning Algorithms in Spatial Downscaling of MODIS Land Surface Temperature

(2019) Wan Li et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects

(2019) Fahu Chen et al.   Science China-Earth Sciences

Process‐Guided Deep Learning Predictions of Lake Water Temperature

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

Predicting air quality with deep learning LSTM: Towards comprehensive models

(2019) Ricardo Navares et al.   Ecological Informatics

Simulate the forecast capacity of a complicated water quality model using the long short-term memory approach

(2019) Zhongyao Liang et al.   JOURNAL OF HYDROLOGY

Deep learning for physical processes: incorporating prior scientific knowledge

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

Physics-aware Gaussian processes in remote sensing

(2018) Gustau Camps-Valls et al.   APPLIED SOFT COMPUTING

Prognostic Validation of a Neural Network Unified Physics Parameterization

(2018) N. D. Brenowitz et al.   GEOPHYSICAL RESEARCH LETTERS

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Neural Networks for Postprocessing Ensemble Weather Forecasts

(2018) Stephan Rasp et al.   MONTHLY WEATHER REVIEW

Estimating regional ground‐level PM 2.5 directly from satellite top‐of‐atmosphere reflectance using deep belief networks

(2018) Huanfeng Shen et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

(2017) Tongwen Li et al.   GEOPHYSICAL RESEARCH LETTERS

Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations

(2017) Tapio Schneider et al.   GEOPHYSICAL 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

Streamflow Hydrology Estimate Using Machine Learning (SHEM)

(2017) T.R. Petty et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Full-coverage high-resolution daily PM 2.5 estimation using MAIAC AOD in the Yangtze River Delta of China

(2017) Qingyang Xiao et al.   REMOTE SENSING OF ENVIRONMENT

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

(2016) Manuel Campos-Taberner et al.   REMOTE SENSING OF ENVIRONMENT

Global-scale regionalization of hydrologic model parameters

(2016) Hylke E. Beck et al.   WATER RESOURCES RESEARCH

Scientific big data and Digital Earth

(2014) Huadong Guo et al.   CHINESE SCIENCE BULLETIN

The Parable of Google Flu: Traps in Big Data Analysis

(2014) D. Lazer et al.   SCIENCE

DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING

(2013) Khachik Sargsyan et al.   International Journal for Uncertainty Quantification

A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US

(2012) Vladimir M. Krasnopolsky et al.   Advances in Meteorology

SVM-PGSL coupled approach for statistical downscaling to predict rainfall from GCM output

(2011) Subimal Ghosh   JOURNAL OF GEOPHYSICAL RESEARCH

Tracking climate models

(2011) Claire Monteleoni et al.   Statistical Analysis and Data Mining

Quantile regression neural networks: Implementation in R and application to precipitation downscaling

(2010) Alex J. Cannon   COMPUTERS & GEOSCIENCES

New approach to applying neural network in nonlinear dynamic model

(2007) Fabrício P. Härter et al.   APPLIED MATHEMATICAL MODELLING

Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA☆

(2007) M TROMBETTI et al.   REMOTE SENSING OF ENVIRONMENT