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Wildfire forecasting is notoriously hard due to the complex interplay of different factors such as weather conditions, vegetation types and human activities.
Impact of el niño–southern oscillation on european climate
Stefan Brönnimann · 1944
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Causation, Prediction, and Search
Peter Spirtes, Clark Glymour, and Richard Scheines · 2001
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Causality: Models, Reasoning, and Inference
Judea Pearl · 2009
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Detecting causality in complex ecosystems
George Sugihara, Robert May, Hao Ye, Chih-hao Hsieh, Ethan Deyle, Michael Fogarty, and Stephan Munch · 2012
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On the identifiability of the post-nonlinear causal model
Kun Zhang and Aapo Hyvarinen · 2012
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Climate change-induced shifts in fire for Mediterranean ecosystems
Enric Batllori, Marc-André Parisien, Meg A. Krawchuk, and Max A. Moritz · 2013
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Climate extremes and the carbon cycle
Markus Reichstein, Michael Bahn, Philippe Ciais, Dorothea Frank, Miguel D Mahecha, Sonia I Seneviratne, Jakob Zscheischler, Christian Beer, Nina Buchmann, David C Frank, et al · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets
Takaya Saito and Marc Rehmsmeier · 2015
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A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
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Causal inference in geoscience and remote sensing from observational data
Adrián Pérez-Suay and Gustau Camps-Valls · 2018
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Convergent cross mapping: theory and an example
Anastasios A Tsonis, Ethan R Deyle, Hao Ye, and George Sugihara · 2018
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Detecting the causal effect of soil moisture on precipitation using convergent cross mapping
Yunqian Wang, Jing Yang, Yaning Chen, Philippe De Maeyer, Zhi Li, and Weili Duan · 2018
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Deep learning and process understanding for data-driven earth system science
Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, and fnm Prabhat · 2019
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Estimating causal networks in biosphere–atmosphere interaction with the pcmci approach
Christopher Krich, Jakob Runge, Diego G. Miralles, Mirco Migliavacca, Oscar Perez-Priego, Tarek El-Madany, Arnaud Carrara, and Miguel D. Mahecha · 2020
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Inferring causal relations from observational long-term carbon and water fluxes records
Emiliano Díaz, Jose E Adsuara, Álvaro Moreno Martínez, María Piles, and Gustau Camps-Valls · 2022
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Wildfire danger prediction and understanding with deep learning
Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps-Valls, María Piles, Miguel-Ángel Fernández-Torres, and Nuno Carvalhais · 2022
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Discovering causal relations and equations from data
Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, and Jakob Runge · 2023
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Causal inference from cross-sectional earth system data with geographical convergent cross mapping
Bingbo Gao, Jianyu Yang, Ziyue Chen, George Sugihara, Manchun Li, Alfred Stein, Mei-Po Kwan, and Jinfeng Wang · 2023
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Causally-informed deep learning to improve climate models and projections
Fernando Iglesias-Suarez, Pierre Gentine, Breixo Solino-Fernandez, Tom Beucler, Michael Pritchard, Jakob Runge, and Veronika Eyring · 2023
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Fire danger observed from space
M Lucrecia Pettinari and Emilio Chuvieco · 2020
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Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
Gustau Camps-Valls, Devis Tuia, XiaoXiang Zhu, and Markus Reichstein · 2021
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Deep learning methods for daily wildfire danger forecasting
Ioannis Prapas, Spyros Kondylatos, Ioannis Papoutsis, Gustau Camps-Valls, Michele Ronco, Miguel-Ángel Fernández-Torres, Maria Piles Guillem, and Nuno Carvalhais · 2021
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Toward causal representation learning
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio · 2021
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Learning granger causal feature representations
Gherardo Varando, Miguel-Angel Fernández-Torres, and Gustau Camps-Valls · 2021
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Inferring causation from time series in earth system sciences
Jakob Runge, Sebastian Bathiany, Erik Bollt, Gustau Camps-Valls, Dim Coumou, Ethan Deyle, Clark Glymour, Marlene Kretschmer, Miguel D Mahecha, Jordi Muñoz-Marí, et al
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Detecting and quantifying causal associations in large nonlinear time series datasets
Jakob Runge, Peer Nowack, Marlene Kretschmer, Seth Flaxman, and Dino Sejdinovic
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Seasfire as a multivariate earth system datacube for wildfire dynamics
Ilektra Karasante, Lazaro Alonso, Ioannis Prapas, Akanksha Ahuja, Nuno Carvalhais, and Ioannis Papoutsis · 2023
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Attentionfire_v1. 0: interpretable machine learning fire model for burned-area predictions over tropics
Fa Li, Qing Zhu, William J Riley, Lei Zhao, Li Xu, Kunxiaojia Yuan, Min Chen, Huayi Wu, Zhipeng Gui, Jianya Gong, et al · 2023
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Televit: Teleconnection-driven transformers improve subseasonal to seasonal wildfire forecasting
Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, and Ioannis Papoutsis · 2023
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Causal inference for time series
Jakob Runge, Andreas Gerhardus, Gherardo Varando, Veronika Eyring, and Gustau Camps-Valls · 2023
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Long-distance air pressure differences correlate with european rain
Gisela Müller-Plath, Horst-Joachim Lüdecke, and Sebastian Lüning · 2045
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