Deep learning and process understanding for data-driven Earth system science
Published 2019 View Full Article
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Title
Deep learning and process understanding for data-driven Earth system science
Authors
Keywords
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Journal
NATURE
Volume 566, Issue 7743, Pages 195-204
Publisher
Springer Nature
Online
2019-02-14
DOI
10.1038/s41586-019-0912-1
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- (2016) M. Forkel et al. SCIENCE
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- (2016) Hylke E. Beck et al. WATER RESOURCES RESEARCH
- Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis
- (2016) Jochem Verrelst et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- The quiet revolution of numerical weather prediction
- (2015) Peter Bauer et al. NATURE
- Probabilistic machine learning and artificial intelligence
- (2015) Zoubin Ghahramani NATURE
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- (2015) Yann LeCun et al. NATURE
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Multimodal Classification of Remote Sensing Images: A Review and Future Directions
- (2015) Luis Gomez-Chova et al. PROCEEDINGS OF THE IEEE
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- (2015) Alessandro Anav et al. REVIEWS OF GEOPHYSICS
- Identifying causal gateways and mediators in complex spatio-temporal systems
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- Statistical significance of climate sensitivity predictors obtained by data mining
- (2014) Peter M. Caldwell et al. GEOPHYSICAL RESEARCH LETTERS
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- (2014) Daniel S. Wilks QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Searching for exotic particles in high-energy physics with deep learning
- (2014) P. Baldi et al. Nature Communications
- Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
- (2013) Gustavo Camps-Valls et al. IEEE SIGNAL PROCESSING MAGAZINE
- Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs*
- (2013) Stefano Castruccio et al. JOURNAL OF CLIMATE
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- (2013) Pierre Friedlingstein et al. JOURNAL OF CLIMATE
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- High-Resolution Global Maps of 21st-Century Forest Cover Change
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- (2012) O. Bellprat et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect toward the real world
- (2012) Sebastian Schirber et al. Journal of Advances in Modeling Earth Systems
- Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques
- (2011) J. Verrelst et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting
- (2011) Daniel Klocke et al. JOURNAL OF CLIMATE
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- (2011) Martin Jung et al. JOURNAL OF GEOPHYSICAL RESEARCH
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- (2011) Gordon B. Bonan et al. JOURNAL OF GEOPHYSICAL RESEARCH
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- (2008) Barak A. Pearlmutter et al. ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS
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