[HTML][HTML] Artificial intelligence: A powerful paradigm for scientific research
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …
known from computer science is broadly affecting many aspects of various fields including …
[PDF][PDF] Deep-learning-based information mining from ocean remote-sensing imagery
X Li, B Liu, G Zheng, Y Ren, S Zhang… - National Science …, 2020 - academic.oup.com
With the continuous development of space and sensor technologies during the last 40 years,
ocean remote sensing has entered into the big-data era with typical five-V (volume, variety …
ocean remote sensing has entered into the big-data era with typical five-V (volume, variety …
Machine learning for the geosciences: Challenges and opportunities
Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …
problems facing our humanity and the planet. As geosciences enters the era of big data …
Applications of deep learning to ocean data inference and subgrid parameterization
Oceanographic observations are limited by sampling rates, while ocean models are limited
by finite resolution and high viscosity and diffusion coefficients. Therefore, both data from …
by finite resolution and high viscosity and diffusion coefficients. Therefore, both data from …
[HTML][HTML] META3. 1exp: A new global mesoscale eddy trajectory atlas derived from altimetry
C Pegliasco, A Delepoulle, E Mason… - Earth System …, 2022 - essd.copernicus.org
This paper presents the new global Mesoscale Eddy Trajectory Atlases (META3. 1exp DT all-
satellites, 10.24400/527896/a01-2021.001, Pegliasco et al., 2021a; and META3. 1exp DT …
satellites, 10.24400/527896/a01-2021.001, Pegliasco et al., 2021a; and META3. 1exp DT …
[HTML][HTML] Over 5,000 years of ensemble future climate simulations by 60-km global and 20-km regional atmospheric models
R Mizuta, A Murata, M Ishii, H Shiogama… - Bulletin of the …, 2017 - journals.ametsoc.org
An unprecedentedly large ensemble of climate simulations with a 60-km atmospheric
general circulation model and dynamical downscaling with a 20-km regional climate model …
general circulation model and dynamical downscaling with a 20-km regional climate model …
The global influence of localized dynamics in the Southern Ocean
SR Rintoul - Nature, 2018 - nature.com
The circulation of the Southern Ocean connects ocean basins, links the deep and shallow
layers of the ocean, and has a strong influence on global ocean circulation, climate …
layers of the ocean, and has a strong influence on global ocean circulation, climate …
[HTML][HTML] The Copernicus Sentinel-6 mission: Enhanced continuity of satellite sea level measurements from space
Given the considerable range of applications within the European Union Copernicus
system, sustained satellite altimetry missions are required to address operational, science …
system, sustained satellite altimetry missions are required to address operational, science …
[HTML][HTML] GeoAI for large-scale image analysis and machine vision: recent progress of artificial intelligence in geography
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …
spatial analytics in Geography. Although much progress has been made in exploring the …
Global changes in oceanic mesoscale currents over the satellite altimetry record
Oceanic mesoscale eddies play a profound role in mixing tracers such as heat, carbon and
nutrients, thereby regulating regional and global climate. Yet, it remains unclear how the …
nutrients, thereby regulating regional and global climate. Yet, it remains unclear how the …