Accepted Papers

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