CR
Cryospheric Sciences

EGU25

EGU 25 – we’ve got you covered

EGU 25 – we’ve got you covered

Are you attending this year’s EGU General Assembly virtual or in person? No matter the way you attend or if it’s your first time or you are coming to Vienna for the GA for years, today we share with you some cryosphere programme highlights and general tips on how to make the most out of your conference experience. Every year, we summarise the main cryosphere events for you, those for inspira ...[Read More]

Did you know? Machine learning can help us understand the cryosphere!

A bar chart showing in which years how many publications included machine learning.

    Recently, Machine Learning (ML) has emerged as a powerful tool within cryospheric sciences, offering innovative and effective solutions for observing, modelling and understanding the frozen regions of the Earth. From learning snowfall patterns and predicting avalanche dynamics to speeding up the process of modelling ice sheets, ML has transformed cryospheric sciences and bears many o ...[Read More]