Kalender

Hi everyone, We’ll have our Stormtracks group meeting this Wednesday (25.03) from 14:00 to 15:00 at Skybar (BCCR 3180). This week Mari will give a talk on Comparison of cloud properties during a marine cold air outbreak in two convection permitting numerical weather prediction models. The meeting will be hybrid and you can join remotely via Zoom: https://uib.zoom.us/j/62886269543?pwd=ajWbi97zr0hbniaoQdZkUtD2EUSSri.1 Meeting ID: 628 8626 9543 | Password: qSKTfKU3 The meeting schedule for this semester is in the following google doc: https://docs.google.com/document/d/1F9hy45DSeS9qrXl-3l4cNzCPSE9OuBBVqdCu3VY240U/edit?usp=sharing See you all there! :) Cheers, Birgit and Yangfan

Dear all, Mark Seefeldt from the University of Colorado - Boulder who is in Bergen for the spring as a visiting Fulbright Scholar kindly invites you to a workshop or short tutorial on Self-Organising Maps. A brief description of which is below, and the key details are: When: Wednesday, April 8, 12:30-1:45 PM Where: BCCR - Undervisningsrom 4020 Please send an email to Mark Seefeldt (mark.seefeldt@colorado.edu) if you would like to download the slides prior to the workshop. Or if you have any questions. Kind regards, Priscilla Workshop Description The method of Self-organizing maps (SOMs) is an artificial neural network data analysis technique that objectively stratifies large volumes of data into a smaller number of recurring patterns on a physically meaningful basis. SOMs have been used for the past 20+ years in the atmospheric and climate sciences identifying patterns in sea-level pressure, winds, relative humidity, and vertical profiles of potential temperature, to name a few applications. This workshop will provide an introduction to the application of SOMs in atmospheric and climate sciences by providing an overview of SOMs, a description of what is done during SOM training, and reviewing two common methods to create SOMs and corresponding analyses. Throughout the presentation there will be a variety examples provided showing the different ways in which SOMs have been applied to atmospheric and climate sciences.