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Machine learning for weather and climate extremes


Interpretable machine learning for weather and climate prediction

Advanced machine learning models have recently achieved high predictive accuracy for weather and climate prediction. However, these complex models often lack ...

Machine learning for weather and climate extremes

Learn how to analyse weather and climate simulations and to train machine learning algorithms to produce a scientifically useful tool.

Machine Learning for Predicting Climate Extremes

Due to the inherent complexity, these climate models can be inaccurate or computationally expensive to run, especially for detecting climate extremes at high ...

Machine Learning Can Predict the Weather — and Human Health

Machine learning and other forms of artificial intelligence have begun to play a role in protecting well-being on our warming planet by augmenting climate ...

Machine Learning Could Improve Extreme Weather Warnings - Eos

A deep learning technique could reduce the error in 10-day weather forecasts by more than 90%, allowing communities to better prepare for extreme events such ...

Artificial intelligence for climate prediction of extremes: State of the ...

Extreme weather events development depends on a favorable initial state, the presence of large-scale drivers, positive feedback, and stochastic ...

A Review of Recent and Emerging Machine Learning Applications ...

Abstract Climate variability and weather phenomena can cause extremes and pose significant risk to society and ecosystems, making continued advances in our ...

Exploring machine-learning forecasts of extreme weather - ECMWF

Over the last few years, developments in data-driven numerical weather prediction (NWP) based on machine learning have been very fast.

Using Machine Learning to Forecast the Weather and Climate

Intro · Climate change has enormous implications for extreme events and hazardous weather. · ML offers unprecedented potential to predict such ...

Generative Machine Learning for Extreme Weather Generation

In recent years, generative machine learning models have achieved notable success in modeling high-dimensional complex distributions, which has led to their ...

Machine Learning Methods in Weather and Climate Applications

This survey aims to consolidate the current understanding of Machine Learning (ML) applications in weather and climate prediction.

Machine Learning for Climate Extremes: Training is Everything

Task: Find Extreme Weather Patterns. Page 9. Supervised Learning. •Training Input: Cropped, Centered, Multi-variate patches with Labels*. –Tropical Cyclone (TC).

How machine learning will help us prepare for extreme weather events

The result is a model capable of predicting hundreds of meteorological variables over a period of 10 days and with an overall resolution of 0.25 ...

Using AI to link heat waves to global warming | Stanford Report

Researchers at Stanford and Colorado State University used machine learning to determine how much global warming has influenced extreme weather events.

Machine learning–based extreme event attribution | Science Advances

We propose a machine learning–based approach that uses convolutional neural networks to create dynamically consistent counterfactual versions of historical ...

MIT-derived algorithm helps forecast the frequency of extreme weather

The algorithm is based on a machine-learning scheme that takes in data, such as past information for temperature and humidity around the world, ...

Artificial intelligence reveals past climate extremes by reconstructing ...

The deep-learning technique used to reconstruct the extreme indices, hereafter referred to as Climate Reconstruction AI (CRAI), is based on a U- ...

Machine Learning for Predicting Weather and Climate Extremes

In this tutorial, we aim to introduce the participants to machine learning approaches for addressing two fundamental challenges.

Machine learning applications for weather and climate need greater ...

Keywords: weather forecasting, climate prediction, machine learning, extreme weather. 1. Introduction. Multiple studies have now demonstrated ...

Machine learning for numerical weather and climate modelling - GMD

Machine learning (ML) is increasing in popularity in the field of weather and climate modelling. Applications range from improved solvers ...