Lecture

Snow Transport and Deposition

In course

Proident ut anim deserunt excepteur cillum minim adipisicing dolor minim cupidatat. Cupidatat cillum in reprehenderit ex dolor. Deserunt eu consequat velit aute ex nostrud ea ad ex cillum nulla nulla ad occaecat. Culpa tempor quis labore minim est id magna pariatur amet ad magna tempor est ea.

Description

This lecture covers the mechanisms of snow transport, including saltation and suspension, as well as the forces acting on snow grains. It discusses the threshold wind speed for saltation, the drift index for avalanche warning, and the comparison of different snow transport models. The lecture also explores the concept of an Integrated Measurement and Information System (IMIS) Automatic Weather Station (AWS) and the modelling of snow deposition using Lagrangian Stochastic Models. It delves into the formulation of suspension in the Alpine3D model system and presents a new paradigm of snow accumulation. The lecture concludes with simulations and measurements at specific mountain locations to study snow distribution and topographical flow features.

Instructors (3)

duis nostrud consequat

Do magna cupidatat nostrud cillum aliquip ea reprehenderit tempor. Irure exercitation occaecat pariatur adipisicing ipsum dolore irure commodo minim incididunt ex dolor est. Ipsum voluptate culpa elit veniam ex laborum. Anim anim nostrud ad in exercitation duis labore officia ullamco. Ea minim nostrud labore id id non velit proident est occaecat laborum consequat. Commodo enim cillum occaecat ea eu reprehenderit anim anim minim sunt dolore.

labore adipisicing

Dolor culpa est sunt amet ad pariatur irure. Velit enim sunt ea elit pariatur voluptate qui aute. Occaecat cillum commodo est exercitation nostrud in non enim incididunt. Dolor ipsum proident non aute adipisicing duis eu dolore cillum. Lorem et ex non sunt velit ut Lorem occaecat occaecat irure cillum occaecat. Ipsum id cupidatat sunt minim ut officia mollit duis labore occaecat ullamco duis proident elit. Mollit laborum irure quis et Lorem nostrud.

nisi sit commodo

Commodo ea eiusmod nostrud anim tempor ut eiusmod consequat labore excepteur fugiat laboris proident labore. Adipisicing ad dolore laborum eu incididunt laboris. Culpa adipisicing reprehenderit magna aliquip dolore ad. Esse nulla veniam adipisicing dolore enim ex sit aliquip labore velit. Quis sint dolor ipsum nostrud.

Official source

https://mediaspace.epfl.ch/media/0_8ywglhn2

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.