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ORCIDCI 2020: Virtual Event, Oxford, UK
- Duncan Watson-Parris, Anastase Alexandre Charantonis:
CI 2020: 10th International Conference on Climate Informatics, Virtual Event, Oxford, UK, September 23-25, 2020. ACM 2020, ISBN 978-1-4503-8848-1 - Adway Mitra:
A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall. 1-7 - Nishant Yadav, Auroop R. Ganguly:
A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting. 8-14 - Moumita Saha, Ravi S. Nanjundiah, Claire Monteleoni
:
CNN-Based Forecasting of Intraseasonal Mean and Active/Break Spells for Indian Summer Monsoon. 15-21 - Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron:
Data-driven and learning-based interpolations of along-track Nadir and wide-swath SWOT altimetry observations. 22-29 - Nicolas Viltard, Pierre Lepetit, Cécile Mallet, Laurent Barthès, Audrey Martini:
Retrieving Rain rates from space borne microwave sensors using U-nets. 30-36 - Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski:
Spatio-temporal evolution of global surface temperature distributions. 37-43 - Taehee Lee, Charles E. Lawrence:
A Gaussian process state-space model for atmospheric CO2 and sea surface temperature index reconstruction from boron isotope and planktonic δ18O proxies. 44-51 - Edoardo Vignotto, Sebastian Sippel, Flavio Lehner, Erich Fischer:
Towards dynamical adjustment of the full temperature distribution. 52-59 - Brian Groenke, Luke Madaus, Claire Monteleoni:
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows. 60-66 - Julianna C. Oliveira, Eduardo Zorita, Vimal Koul, Thomas Ludwig, Johanna Baehr:
Forecast opportunities for European summer climate ensemble predictions using Self-Organising Maps. 67-71 - Mohammad Noorbakhsh, Colm Connaughton, Francisco Aparecido Rodrigues:
Discovering Causal Factors of Drought in Ethiopia. 72-78 - Jorge Baño-Medina:
Understanding Deep Learning Decisions in Statistical Downscaling Models. 79-85 - Grace E. Kim, Moritz Steller, Sarah Olson:
Modeling watershed nutrient concentrations with AutoML. 86-90 - Pierre Lepetit, Laurent Barthes, Cécile Mallet, Nicolas Viltard:
Learning to compare visibility on webcam images. 91-97 - Griffin Mooers, Jens Tuyls, Stephan Mandt, Mike Pritchard, Tom G. Beucler:
Generative Modeling of Atmospheric Convection. 98-105 - Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath:
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence. 106-112 - Saumya Sinha, Sophie Giffard-Roisin, Fatima Karbou, Michael Deschatres, Anna Karas, Nicolas Eckert, Cécile Coléou, Claire Monteleoni:
Variational Autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery. 113-119 - Roy El Hourany, Carlos Mejia, Ghaleb Faour, Sylvie Thiria, Michel Crépon:
A Neural-based Bio-regionalization of the Mediterranean Sea using Satellite and Argo-Float Records. 120-127 - Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao:
U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. 128-133 - William K. Jones, Redouane Lguensat, Anastase Alexandre Charantonis, Duncan Watson-Parris:
The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. 134-138
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last updated on 2024-09-30 21:06 CEST by the dblp team
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