C-iTRACE (and friends) PaleoBook

C-iTRACE (and friends) PaleoBook#

This PaleoBook looks at how to slice, dice, navigate, visualize and investigate paleoceanographic questions at the interface between models and observations using the multi-proxy, spatially resolved model output from coarse iTRACE (C-iTRACE) runs.

Motivation#

Paleo-model output offers a spatially resolved look at how proxy distributions may have evolved over time–a welcome gift in a field perpetually saddled with navigating sparse data problems. Working with model output comes with a few unique challenges, in addition to some intriguing opportunities.

C-iTRACE is a deglacial simulation performed using a low resolution (3 degrees) configuration of the isotope enabled version of the Parallel Ocean Program version 2 (POP2) with 60 vertical layers and active biogeochemistry. The isotope suite includes a growing set of geotracers such as \(\delta^{13}\)C, \(\Delta^{14}\)C, \(\varepsilon\)Nd, \(\delta^{18}\)O.

The simulation spans 20ka to present at decadal resolution and is forced with momentum, heat, freshwater fluxes and sea ice fractions from existing fully-coupled TraCE-21 ka simulation and reconstructed atmospheric CO\(_2\) and \(\Delta^{14}\)C. The C-iTRACE simulation is part of an effort to test code prior to adding the tracer suite to the full resolution ocean component of the Community Earth System Model (CESM) and reasonably reproduces the physical circulation of TraCE-21ka when strong restoring is applied at the surface boundary. Tracers were spun up separately on timescales relevant to their residence times.

Authors#

Jordan Landers

Contributors#

Structure#

This PaleoBook is made up of two sections: Lifehacks, and Science Bits

Lifehacks#

This section covers nuts and bolts about how to assess and work with model grids that aren’t indexed on latitude and longitude, access cloud available data, process it, and produce some of visualizations most commonly used to look at ocean variables.

Science Bits#

This section applies the technical skills from the Lifehacks section to explore questions surrounding the evolution of global ocean circulation and tracer distribution since the Last Glacial Maximum.

Running the Notebooks#

You can either run the notebook using Binder, or on your local machine.

Running on Binder#

The simplest way to interact with a Jupyter Notebook is through Binder, which enables the execution of a Jupyter Book in the cloud. The details of how this works are not important for now. All you need to know is how to launch a PaleoBooks chapter via Binder. Simply navigate your mouse to the top right corner of the book chapter you are viewing and click on the rocket ship icon, (see figure below), and be sure to select “launch Binder”. After a moment you should be presented with a notebook that you can interact with. I.e. you’ll be able to execute and even change the example programs. You’ll see that the code cells have no output at first, until you execute them by pressing Shift+Enter. Complete details on how to interact with a live Jupyter notebook are described in Getting Started with Jupyter.

Running on Your Own Machine#

If you are interested in running this material locally on your computer, you will need to follow this workflow:

Clone the https://github.com/jordanplanders/LMR_CMIP_paleobook repository:
```
 git clone https://github.com/LinkedEarth/citrace_paleobook
```

Create and activate your conda environment from the environment.yml file

conda env create -f environment.yml
conda activate conda-env-paleobook-dev-py

Move into the notebooks directory and start up Jupyterlab
```
cd notebooks/
jupyter lab
```