Skip to content

nansencenter/DA-tutorials

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 

Introduction to data assimilation and the EnKF

Jump right in using one of these cloud computing providers:

  • Open In Colab (requires Google login)
  • Binder (no login but can be slow to start)

Overview

  • Interactive (Jupyter notebook)
  • Contains theory, code (Python), and exercises.
  • Recommendation: work in pairs.
  • Each tutorial takes ≈75 min.
  • The tutor will circulate to assist with the exercises,
    and summarize each section after you have worked on them.

Instructions for working locally

You can also run these notebooks on your own (Linux/Windows/Mac) computer. This is a bit snappier than running them online.

  1. Prerequisite: Python 3.7.
    If you're an expert, setup a python environment however you like. Otherwise: Install Anaconda, then open the Anaconda terminal and run the following commands:

    conda create --yes --name my-env python=3.7
    conda activate my-env
    python --version

    Ensure the printed version is 3.7.
    Keep using the same terminal for the commands below.

  2. Install:

    • Download and unzip (or git clone) this repository (see the green button up top)
    • Move the resulting folder wherever you like
    • cd into the folder
    • Install requirements:
      pip install -r path/to/requirements.txt
  3. Launch the Jupyter notebooks:

    • Launch the "notebook server" by executing:
      jupyter-notebook
      This will open up a page in your web browser that is a file navigator.
    • Enter the folder DA-tutorials/notebooks, and click on a tutorial (T1... .ipynb).