Posters

This year, given the virtual nature of the conference we were called to adapt the poster format. As such, authors were not required to provide a poster, but instead a small (we suggest 6 slides long) powerpoint-style presentation .pdf.

Slack here. (Or here)

The posters can be found here.

 




Paper ID Paper Title Presenting author
2 A data-driven framework for the stochastic parametrization and reconstruction of small-scale features in climate models Themis Sapsis
3 Adjusting spatial dependence of climate model outputs with Cycle-Consistent Adversarial Networks Bastien FRANCOIS
4 A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall Adway Mitra
5 Application of machine learning techniques for regional bias correction of SWE estimates in Ontario, Canada Fraser King
6 Exploring Deep Learning techniques to detect and track Tropical Cyclones Ashwin Samudre
7 A DEEP LEARNING APPROACH TO SHORT-TERM QUANTITATIVE PRECIPITATION FORECASTING Nishant Yadav
9 CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon Moumita Saha
10 Intra-hour Forecasting of Solar Irradiance with a Hybrid Random Forest-Persistence Model Moumita Saha
11 Data-driven and learning-based interpolations of along-track Nadir and wide-swath Swot altimetry observations Maxime Beauchamp
12 Toward Enhanced Seasonal Forecasts: Characterization of the Polar Vortex Variability Raphaël de Fondeville
13 fcPrecipNet: Deep Learning based Rainfall Prediction using surface observation data Yeji Choi
14 Learning Chaotic and Stochastic Dynamics from Noisy and Partial Observation using Variational Deep Learning Duong Van Nguyen
15 Stochastic simulation of cloud-aerosol tracks Lekha Patel
16 Boosting performance in machine learning of geophysical flows via scale separation Davide Faranda
17 Artificial intelligence reconstructs missing climate information Christopher Kadow
19 RETRIEVING RAIN RATES FROM SPACE BORNE MICROWAVE SENSORS USING U-NETS. Nicolas Viltard
21 Heat Waves and Myocardial Infarctions: Towards Modelling Health Impacts of Climate Change Lennart C Marien
22 A Gaussian process state-space model for atmospheric CO2 and sea surface temperature index reconstruction from boron isotope and planktonic δ18O proxies Taehee Lee
25 Towards dynamical adjustment of the full temperature distribution Edoardo Vignotto
27 Examining Internal Cloud Cluster Variability Alex Schuddeboom
28 Wintertime Atmospheric Circulation Regimes in the Euro-Atlantic Sector: Persistence and Non-Stationarity Swinda K.J. Falkena
30 A Big, Public Dataset of Marine Heat Wave Events for Studies of Climate Change J. Xavier Prochaska
31 Quantification of sensitivities for aerosol-cloud interactions in marine boundary layer clouds with machine learning Lukas Zipfel
32 Detecting Marine Heat Waves using Deep Learning Kamil J Kisielewicz
33 Rain Nowcasting using U-Net neural networks Vincent Bouget
35 Testing the Suitability of Tree-based Models for Climate Statistical Downscaling Mikel N Legasa
36 Learning Patterns of Climate-induced Sea Level Changes with Gaussian Processes Veronica Nieves
37 SOUTHERN OCEAN FRONT DETECTION Simon D. A. Thomas
38 Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures Thomas Opitz
39 On the Ability of Deep Learning to Classify Convective Storms of a Future Climate Maria J Molina
40 Data-driven approaches to upsample Sentinel-5P satellite methane column density observations Kalai Ramea
41 Classification of Eddy Signatures in SST images with CNNs Evangelos Moschos
42 Detection and attribution of reduced satellite-observed aerosol loading to COVID-19 with machine learning Hendrik Andersen
44 Observation-driven attribution of air pollution determinants Jan Cermak
46 Discovering causal factors of drought in Ethiopia Mohammad Noorbakhsh
47 The Antarctic Slope Front position estimated from hydrography Etienne Pauthenet
49 Spatial and Temporal Performance of Deep Generative Models Shahine Bouabid
50 Understanding Deep Learning Decisions in Statistical Downscaling Models Jorge Baño-Medina
51 Towards a generalized Framework for Gapfilling complex Earth observations Verena Bessenbacher
52 WEAK SUPERVISION LEARNING FOR SEMANTIC SEGMENTATION OF METOCEANIC PROCESSES Aurélien Colin
53 Learning missing part of physics-based models within a variational data assimilation scheme Arthur Filoche
54 Investigating a Satellite Precipitation Product's Ability to Reproduce Summer Precipitation Extremes in the Northern US Rocky Mountains Brook Russell
55 Linkages between Arctic Sea Ice decline and atmospheric circulation regimes using a Multinomial logistic regression approach Johannes Riebold
57 Modeling Watershed Nutrient Concentrations with AutoML Grace E Kim
59 Unsupervised Learning for Known and Unknown Dynamics Marie Déchelle
61 SELECTION OF DYNAMICAL MODEL USING ANALOG DATA ASSIMILATION Juan J Ruiz
62 Improving weather and climate predictions by training of supermodels Francine J Schevenhoven
63 Creating Bias-Corrected Diffuse and Direct Beam Components of Hourly Solar Radiation from 1980-2019 using Ensembles of Decision Trees TC Chakraborty
64 A multi-forcing ensemble of data-driven global runoff reconstructions using machine learning Lukas Gudmundsson
65 Causal Discovery as a novel approach for CMIP6 climate model evaluation Kevin DEBEIRE
66 QUANTIFICATION OF FORECAST UNCERTAINTYUSING NEURAL NETWORK Maximiliano A Sacco
67 The Evolution of Marine Heat Waves through Extremal Networks Katerina Giamalaki
68 LEARNING TO COMPARE VISIBILITY ON WEBCAM IMAGES Pierre Lepetit
69 Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces Maike Sonnewald
70 Understanding global vegetation dynamics from a nonlinear spatio-temporal dimensionlity reduction Diego Bueso Acevedo
72 A Generalized Spatio-Temporal Threshold Clustering Method for Identification of Extreme Event Patterns vitaly kholodovsky
73 Predicting Infrastructure Network Damage from Forecasts of Hurricanes Using Large-Ensemble Outputs Derek Chang
74 Generative Modeling of Atmospheric Convection Griffin S Mooers
76 VARIATIONAL AUTOENCODER ANOMALY-DETECTION OF AVALANCHE DEPOSITS IN SATELLITE SAR IMAGERY Saumya Sinha
77 Subseasonal Forecasts of Arctic Sea Ice Using Random Forest Models Marie C McGraw
78 Towards emulating high-resolution climate dynamics using deep generative models Rishabh Gupta
80 Machine Learning for Long-lead Forecast of Heatwaves in the United States Negin Sobhani
81 A NEURAL-BASED BIO-REGIONALIZATION OF THE MEDITERRANEAN SEA USING SATELLITE AND ARGO-FLOAT RECORDS Roy El Hourany
82 Climate Data Hub for Scalable Action Sumeet Sandhu
83 Deep Learning of subgrid parameterization of momentum forcing in a high-resolution coupled model Arthur Guillaumin
84 LEXICON-BASED SENTIMENT ANALYSIS AND EMOTION CLASSIFICATION OF THE GLOBAL YOUTH CLIMATE PROTEST ON TWITTER Temitayo M. Fagbola
86 TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall Rilwan Adewoyin
88 A COMPLETE CAUSAL DISCOVERY FRAMEWORK Peter Jan van Leeuwen