Cumulo: A Dataset for Learning Cloud Classes

Type: Preprint

Publication Date: 2019-01-01

Citations: 29

DOI: https://doi.org/10.48550/arxiv.1911.04227

Locations

  • arXiv (Cornell University) - View - PDF
  • Oxford University Research Archive (ORA) (University of Oxford) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Cumulo: A Dataset for Learning Cloud Classes. 2019 Valentina Zantedeschi
Fabrizio Falasca
Alyson Douglas
Richard C. Strange
Matt J. Kusner
Duncan Watson‐Parris
+ Machine-learned cloud classes from satellite data for process-oriented climate model evaluation 2022 A. Kaps
A. Lauer
G. Camps-Valls
P. Gentine
L. GĂłmez-Chova
V. Eyring
+ PDF Chat Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation 2023 Arndt Kaps
Axel Lauer
Gustau Camps‐Valls
Pierre Gentine
Luis Gómez‐Chova
Veronika Eyring
+ PDF Chat AICCA: AI-Driven Cloud Classification Atlas 2022 Takuya Kurihana
E. J. Moyer
Ian Foster
+ AICCA: AI-driven Cloud Classification Atlas 2022 Takuya Kurihana
E. J. Moyer
Ian Foster
+ PDF Chat Conditional Generation of Cloud Fields 2022 Naser G. A. Mahfouz
Yi Ming
Kaleb E Smith
+ Conditional generation of cloud fields 2022 Naser G. A. Mahfouz
Yi Ming
Kaleb E. Smith
+ Cloud Classification with Unsupervised Deep Learning 2022 Takuya Kurihana
Ian Foster
Rebecca Willett
Sydney Jenkins
Kathryn Koenig
Ruby Werman
Ricardo Barros Lourenço
Casper Neo
E. J. Moyer
+ PDF Chat CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds 2021 Andreas Holm Nielsen
Alexandros Iosifidis
Henrik Karstoft
+ PDF Chat A labeled dataset of cloud types using data from GOES-16 and CloudSat 2022 Paula Romero Jure
Sergio Masuelli
Juan Cabral
+ Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder 2022 Takuya Kurihana
James Franke
Ian Foster
Ziwei Wang
E. J. Moyer
+ PDF Chat CloudCast -- Total Cloud Cover Nowcasting with Machine Learning 2024 Mikko Partio
Leila Hieta
Anniina Kokkonen
+ Classification and understanding of cloud structures via satellite images with EfficientUNet 2020 Tashin Ahmed
Noor Hossain Nuri Sabab
+ PDF Chat Deriving WMO cloud classes from ground-based RGB pictures with a residual neural network ensemble 2024 Markus Rosenberger
Manfred Dorninger
Martin Weißmann
+ Foundation Models for Generalist Geospatial Artificial Intelligence 2023 Johannes Jakubik
Sujit Roy
Chris Phillips
Paolo Fraccaro
Denys Godwin
Bianca Zadrozny
Daniela Szwarcman
Carlos Augusto Gomes
Gabby Nyirjesy
Blair Edwards
+ IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision 2023 Kai Jeggle
Mikolaj Czerkawski
Federico Serva
Bertrand Le Saux
David Neubauer
Ulrike Lohmann
+ Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder 2021 Takuya Kurihana
E. J. Moyer
Rebecca Willett
Davis Gilton
Ian Foster
+ PDF Chat Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder 2021 Takuya Kurihana
E. J. Moyer
Rebecca Willett
Davis Gilton
Ian Foster
+ PDF Chat Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model 2024 Denys Godwin
Hanxi Li
Michael Cecil
Hamed Alemohammad
+ PDF Chat 3D Cloud reconstruction through geospatially-aware Masked Autoencoders 2025 Stella Girtsou
Emiliano Diaz Salas-Porras
Lilli Freischem
Joppe Massant
Kyriaki-Margarita Bintsi
Guiseppe Castiglione
William P. Jones
Michael Eisinger
Eldridge F. Johnson
Anna Jungbluth

Works Cited by This (0)

Action Title Year Authors