Revealing the impact of global heating on North Atlantic circulation
An application using transparent machine learning
Projects by Tag
- ocean 10
- deep learning 8
- probabilistic ML 8
- fundamental understanding 4
- policy 4
- data mining 3
- observations 3
- unsupervised learning 3
- climate 2
- theory 1
ocean
Discovering a supergye in the southern ocean
A unifying dynamical framework identified by physics-informed machine learning
Extreme Water Level Forecasting of Highway 37 CA
An assessment of deep learning for flood prediction systems
Predicting Pacific fisheries
Using Deep Learning to forecast marine fishery indicators in the North Pacific
Linking ENSO to oceanic dynamical regimes using transparent ML
Investigating ENSO dynamics in several CMIP6 models
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
North Atlantic physical and biogeochemical provinces
Objective data mining of North Atlantic physical and biogeochemical data
Southern Ocean Dynamics Under Climate Change
New Knowledge Through Physics-Guided Machine Learning
The Importance of Architecture Choice in Deep Learning for Climate Applications
Can neural networks simulate climate?
deep learning
Revealing the impact of global heating on North Atlantic circulation
An application using transparent machine learning
Extreme Water Level Forecasting of Highway 37 CA
An assessment of deep learning for flood prediction systems
Predicting Pacific fisheries
Using Deep Learning to forecast marine fishery indicators in the North Pacific
Linking ENSO to oceanic dynamical regimes using transparent ML
Investigating ENSO dynamics in several CMIP6 models
Physics-driven and explainable AI for BNNs
Toward trustworthy predictions of ocean dynamics
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
Southern Ocean Dynamics Under Climate Change
New Knowledge Through Physics-Guided Machine Learning
The Importance of Architecture Choice in Deep Learning for Climate Applications
Can neural networks simulate climate?
probabilistic ML
Revealing the impact of global heating on North Atlantic circulation
An application using transparent machine learning
Extreme Water Level Forecasting of Highway 37 CA
An assessment of deep learning for flood prediction systems
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Physics-driven and explainable AI for BNNs
Toward trustworthy predictions of ocean dynamics
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
North Atlantic physical and biogeochemical provinces
Objective data mining of North Atlantic physical and biogeochemical data
Southern Ocean Dynamics Under Climate Change
New Knowledge Through Physics-Guided Machine Learning
The Importance of Architecture Choice in Deep Learning for Climate Applications
Can neural networks simulate climate?
fundamental understanding
Discovering a supergye in the southern ocean
A unifying dynamical framework identified by physics-informed machine learning
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Southern Ocean Dynamics Under Climate Change
New Knowledge Through Physics-Guided Machine Learning
The Importance of Architecture Choice in Deep Learning for Climate Applications
Can neural networks simulate climate?
policy
Extreme Water Level Forecasting of Highway 37 CA
An assessment of deep learning for flood prediction systems
Predicting Pacific fisheries
Using Deep Learning to forecast marine fishery indicators in the North Pacific
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
data mining
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
North Atlantic physical and biogeochemical provinces
Objective data mining of North Atlantic physical and biogeochemical data
observations
Extreme Water Level Forecasting of Highway 37 CA
An assessment of deep learning for flood prediction systems
Predicting Pacific fisheries
Using Deep Learning to forecast marine fishery indicators in the North Pacific
North Atlantic physical and biogeochemical provinces
Objective data mining of North Atlantic physical and biogeochemical data
unsupervised learning
Elucidating ecological complexity using ML
Unsupervised learning determines global marine eco-provinces
Predicting ocean biomes remotely
Lessons from inferring plankton eco-provinces with remotely sensed data
North Atlantic physical and biogeochemical provinces
Objective data mining of North Atlantic physical and biogeochemical data
climate
Revealing the impact of global heating on North Atlantic circulation
An application using transparent machine learning
Linking ENSO to oceanic dynamical regimes using transparent ML
Investigating ENSO dynamics in several CMIP6 models
theory
Discovering a supergye in the southern ocean
A unifying dynamical framework identified by physics-informed machine learning