Machine Learning for Online Sea Ice Bias Correction Within Global ...

We use a convolutional neural network (CNN) to perform online sea ice bias correction within global ice-ocean simulations The CNN ...

Machine learning for online sea ice bias correction within global ice ...

In this study we perform online sea ice bias correction within a GFDL global ice-ocean model. For this, we use a convolutional neural network (CNN)

Description: In this study, we perform online sea ice bias correction within a Geophysical Fluid Dynamics Laboratory global ice-ocean model. For this, we use a ...

[PDF] Machine Learning for Online Sea Ice Bias Correction Within ...

It is shown that residual errors in SIC biases can be significantly improved with a novel sea ice data augmentation approach, and it is proposed that this ...

Machine learning for online sea ice bias correction within global ice ...

Abstract. In this study we perform online sea ice bias correction within a GFDL global ice-ocean model. For this, we use a convolutional neural ...

Machine Learning for Online Sea Ice Bias Correction Within Global ...

In this work we take a machine learning model which, at any given moment, ingests information about a climate model's atmosphere, ocean and sea ice conditions.

Machine learning for online sea ice bias correction within global ice ...

In this study we perform online sea ice bias correction within a GFDL globalice-ocean model. For this, we use a convolutional neural network (CNN) whichwas ...

Machine Learning for Online Sea Ice Bias Correction Within Global ...

Machine Learning for Online Sea Ice Bias Correction Within Global Ice-Ocean Simulations. William Gregory, Mitchell Bushuk, Yongfei Zhang, Alistair Adcroft ...

Code - M²LInES

Photo of Deep learning of systematic sea ice model errors from data assimilation increments · Photo of Machine Learning for Online Sea Ice Bias Correction Within ...

Advances in Machine Learning Techniques Can Assist Across a ...

Correcting biases in atmospheric boundary conditions for sea ice models using machine learning algorithms (Zampieri et al. 2023). Correcting sea ice model ...

Deep Learning of Systematic Sea Ice Model Errors From Data ...

This suggests that the CNN could be used to reduce sea ice biases in free-running SPEAR simulations, either as a sea ice parameterization or an online bias ...

Towards improving numerical sea ice predictions with ... - NASA ADS

Specifically, we show how a Convolutional Neural Network (CNN) can be used to systematically reduce global sea ice biases during a 5-year ice-ocean simulation.

Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning

In addition to discussing these applications, we also summarize technological advances that provide customized deep learning solutions, including new loss ...

1443 - AMS Journals

A Machine Learning Correction Model of the Winter Clear-Sky Temperature Bias over the Arctic Sea Ice in Atmospheric Reanalyses. LORENZO ZAMPIERI ,a GABRIELE ...

Improving short-term sea ice concentration forecasts using deep ...

In this study, post-processing methods based on supervised machine learning have been developed for improving the skill of sea ice concentration forecasts.

Open SuperIce-webinar #1 - Artificial intelligence and sea ice - nersc

Recent work has shown that Machine Learning (ML) algorithms trained to predict sea ice Data Assimilation (DA) increments can systematically reduce sea ice ...

Reconstruction of Arctic sea ice thickness (1992–2010) based on a ...

Over the test period 2011–2013, the ML method outperforms TOPAZ4 without CS2SMOS assimilation when compared to TOPAZ4 assimilating CS2SMOS. The ...

Scalable interpolation of satellite altimetry data with probabilistic ...

Machine learning for online sea ice bias correction within global ice-ocean simulations. Geophys. Res. Lett. 51, e2023GL106776 (2024) ...

Sea Ice Extent Prediction with Machine Learning Methods and ...

The decline of sea ice in the Arctic region is a critical indicator of rapid global warming and can also influence the feedback processes in the Arctic, ...

AI is transforming climate forecasts for melting sea ice

“The results show that it is possible to use deep learning models to predict the systematic [model biases] from data assimilation increments, ...