YoVDO

SpeedyWeather.jl - Reinventing Atmospheric Models

Offered By: The Julia Programming Language via YouTube

Tags

Julia Courses Python Courses Fortran Courses Scientific Computing Courses High Performance Computing Courses Climate Modeling Courses Numerical Simulations Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a groundbreaking approach to atmospheric modeling in this 13-minute conference talk from JuliaCon 2024. Dive into SpeedyWeather.jl, a Julia-based project that aims to revolutionize the field of atmospheric science and high-performance computing. Learn how this innovative model overcomes the limitations of traditional Fortran-based systems by providing a more interactive and user-friendly experience. Discover the bottom-up construction method of SpeedyWeather.jl, which allows for greater flexibility in defining discretization and model components. Understand how this new approach enables users to directly interact with various model components, analyze variables, and visualize equation terms. Gain insights into the potential impact of SpeedyWeather.jl on climate research, making complex simulations more accessible and opening up new possibilities for scientific exploration.

Syllabus

SpeedyWeather.jl: Reinventing atmospheric models | Klöwer | JuliaCon 2024


Taught by

The Julia Programming Language

Related Courses

Tsunamis and Storm Surges: Introduction to Coastal Disasters
Waseda University via edX
Introduction to Dynamical Models in Biology
Indian Institute of Technology Guwahati via Swayam
Spacecraft Dynamics Capstone: Mars Mission
University of Colorado Boulder via Coursera
Mathematical Modeling of Manufacturing Processes
Indian Institute of Technology Guwahati via Swayam
Computational Science in Engineering
Indian Institute of Technology Kanpur via Swayam