Accepted papers
Calibration of probabilistic ensemble forecasts for Indian summer monsoon rainfall: a non-gaussian approach
Nachiketa Acharya
Towards Generative Deep Learning Emulators for Hydroclimate Simulations: Application to Snowpack Modeling
Adrian Albet, Alan Rhoades, Daniel Feldman, Andrew Jones, Sangram Ganguly and Mr Prabhat
Modeling Dynamical Systems with PDE inspired Neural State Space Models
Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot and Patrick Gallinari
Modelling socio-economic impacts of weather and climate with climada
Gabriela Aznar Siguan and David N. Bresch
Deep Convolutional Networks for Feature Selection in Statistical Downscaling
Jorge Baño-Medina and Jose Manuel Gutiérrez
An AI Approach To Determining Time of Emergence of Climate Change
Elizabeth A. Barnes, Chuck Anderson and Imme Ebert-Uphoff
Emulating Earth System Model Temperatures
Lea Beusch, Lukas Gudmundsson and Sonia Seneviratne
A Statistical Model to Predict the Extratropical Transition of Tropical CyclonesAccepted
Melanie Bieli, Adam H. Sobel and Suzana J. Camargo
Identifying clustered weather patterns using a deep convolutional neural network: a test case
Ashesh Chattopadhyay and Pedram Hassanzadeh
Studying Extremal Dependence in Climate Using Complex Networks
Imme Ebert-Uphoff, Whitney Huang, Adway Mitra, Dan Cooley, Singdhansu Chatterjee, Chen Chen and Zhonglei Wang
Fused Deep Learning for Hurricane Track Forecast from Reanalysis Data
Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Balázs Kégl and Claire Monteleoni
On a Technique for Evaluating the Quality of Earth System Models
Kaibo Gong, Snigdhansu Chatterjee and Amy Braverman
Detection of Tundra Lake Patterns Observed in Historical Maps and Satellite Imagery
Ming Gong, Ivan Sudakov and Thao Nguyen
Climate research reproducibility with the climate4R R-based framework
Jose Manuel Gutierrez, Joaquín Bedia, Maialen Iturbide, Sixto Herrera, Rodrigo Manzanas, Jorge Baño-Medina, María Dolores Frías, Daniel San-Martín, Jesús Fernández and Antonio Cofiño
Adversarial Networks for Satellite Simulation and Dataset Translation
David Hall, Jebb Stewart and Craig Tierney
Ensemble Consistency Testing Using Causal Connectivity
Dorit Hammerling, Imme Ebert-Uphoff and Allison Baker
Evaluating proxy influence in data assimilation based climate field reconstructions using data depth
Trevor Harris, Bo Li, Nathan Steiger, Jason Smerdon and Derek Tucker
Land climate prediction using sea surface temperatures
Sijie He, Xinyan Li, Vidyashankar Sivakumar and Arindam Banerjee
Classification of climate for human comfort using unsupervised clustering in Colombia
Roland Hudson and Rodrigo Velasco
Methods to filter weather data using ecological memory functions
Malcolm Itter, Jarno Vanhatalo and Andrew Finley
Physics Guided Recurrent Neural Networks for modeling dynamical systems: application to monitoring water temperature and quality in lakes
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael Steinbach, Jordan Read, Paul Hanson, Hilary Dugan and Vipin Kumar
Learning Climate Patterns on the Sphere: Convolutional Neural Network on Unstructured Mesh
Chiyu Jiang, Karthik Kashinath and Mr Prabhat
Machine learning @ numerical modeling: decadal climate predictions improved by ensemble dispersion filter
Christopher Kadow, Sebastian Illing, Igor Kröner, Uwe Ulbrich and Ulrich Cubasch
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM
Sookyung Kim, Jungmin M. Lee, Jiwoo Lee and Jihoon Seo
Deep-Hurricane-Tracker: Tracking Extreme Climate Events
Sookyung Kim, Sangwoong Yoon, Joonseok Lee, Samira Kahou, Hyojin Kim, Karthik Kashinath and Mr. Prabhat
Satellite chlorophyll-a images inpainting
Mélissa Kouassi, Ariel Rimoux, Clément Soriot, Julien Brajard, Anastase Charantonis and Sylvie Thiria
Statistical predictions of climate indices using response-guided causal precursor detection
Marlene Kretschmer, Giorgia DiCapua, Jakob Runge and Dim Coumou
Local Sampling Machine Learning Technique for Refinement of Water Classification
Charles Labuzzetta, Zhengyuan Zhu and Yuyu Zhou
High-dimensional Data Visualization for Climate Model Intercomparison: Application of the Circular Plot
Jiwoo Lee, Peter Gleckler, Kenneth Sperber, Charles Doutriaux and Dean Williams
Seasonal Predictions of Sea Surface Temperature in the Tropical Atlantic using a Deep Neural Network Model Combined with Sparse Canonical Correlation Analysis
Carlos Lima
Toward a topological pattern detection in fluid and climate simulation data
Grzegorz Muszynski, Karthik Kashinath, Vitaliy Kurlin, Michael Wehner and Prabhat Prabhat
Machine learning parameterizations for ozone in climate sensitivity simulations
Peer Nowack, Peter Braesicke, Joanna Haigh, Luke Abraham, John Pyle and Apostolos Voulgarakis
A Toolbox for Causal Discovery in Climate Science
Joseph Ramsey, Kun Zhang, Madelyn Glymour, Ruben Sanchez Romero, Biwei Huang, Imme Ebert-Uphoff, Elizabeth Barnes and Clark Glymour
Topological characterization of shallow cumulus cloud fields using persistent homology
Jose Licon Salaiz, Henri Riihimäki and Thirza W. van Laar
Causal discovery in the presence of latent variables for climate science
Savini Samarasinghe, Elizabeth Barnes and Imme Ebert-Uphoff
Causality analysis of ecological time series: a time-frequency approach
Maha Shadaydeh, Yanira Guanche, Miguel Mahecha, Markus Reichstein and Joachim Denzler
Localized time series modeling of Greenland ice sheet elevation changes
Prashant Shekhar, Beata Csatho, Toni Schenk and Abani Patra
Spatio-temporal climate data causality analytics – an analysis of ENSOS’s global impacts
Hua Song, Jianwu Wang, Jing Tian, Jingfeng Huang and Zhibo Zhang
SupernoVAE: VAE based Kernel-PCA for analysis of spatio-temporal earth data
Xavier-Andoni Tibau, Christian Requena-Mesa, Christian Reimers, Joachim Denzler, Veronika Eyring, Markus Reichstein and Jakob Runge
A Deep Learning Perspective of the Madden-Julian Oscillation
Benjamin A. Toms, Karthik Kashinath, Prabhat, Mayur Mudigonda, Chiyu Jiang and Da Yang
Climate Field Completion via Markov Random Fields
Resherle Verna, Adam Vaccaro, Julien Emile-Geay and Dominique Guillot
Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences
Jianwu Wang, Matthias Gobbert, Zhibo Zhang and Aryya Gangopadhyay
Physics-Informed Generative Learning to Emulate PDE-Governed Systems by Preserving High-Order Statistics
Jinlong Wu, Karthik Kashinath, Adrian Albert, Mr Prabhat and Heng Xiao
Detecting the effects of irrigation on regional temperature extremes
Yeliz Yilmaz
Linking information theory to west Sahel precipitation dynamics
Qing Zhu, Bessie Y Liu, Lei Zhao and Hongxu Ma