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Dec 9, 2022
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3 changes: 3 additions & 0 deletions .gitignore
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Expand Up @@ -128,3 +128,6 @@ dmypy.json

# Pyre type checker
.pyre/

# Do not track netCDF data files
.nc
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -9,7 +9,7 @@ This Project Pythia Cookbook covers analysis of CESM LENS data publicly availabl

## Motivation

The [National Center for Atmospheric Research (NCAR)](https://ncar.ucar.edu/) Community Earth System Model Large Ensemble ([CESM LENS](https://www.cesm.ucar.edu/projects/community-projects/LENS/)) dataset includes a 40-member ensemble of climate simulations for the period 1920-2100. All model runs were subject to the same radiative forcing scenario: historical up to 2005, and RCP8.5 thereafter. RCP8.5 - Representative Concentration Pathway 8.5 - refers to the worst-case scenario considered in the [Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5)](https://www.ipcc.ch/report/ar5/wg1/). Each of the 40 runs begins from a slightly different initial atmospheric state (created by randomly perturbing temperatures at the level of round-off error). The data comprise both surface (2D) and volumetric (3D) variables in the atmosphere, ocean, land, and ice domains.
The [National Center for Atmospheric Research (NCAR)](https://ncar.ucar.edu/) Community Earth System Model Large Ensemble ([CESM LENS](https://www.cesm.ucar.edu/community-projects/lens)) dataset includes a 40-member ensemble of climate simulations for the period 1920-2100. All model runs were subject to the same radiative forcing scenario: historical up to 2005, and RCP8.5 thereafter. RCP8.5 - Representative Concentration Pathway 8.5 - refers to the worst-case scenario considered in the [Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5)](https://www.ipcc.ch/report/ar5/wg1/). Each of the 40 runs begins from a slightly different initial atmospheric state (created by randomly perturbing temperatures at the level of round-off error). The data comprise both surface (2D) and volumetric (3D) variables in the atmosphere, ocean, land, and ice domains.

The total LENS data volume is ~500 TB, and is traditionally accessible through the NCAR Climate Data Gateway ([CDG](https://www.earthsystemgrid.org/dataset/ucar.cgd.ccsm4.CESM_CAM5_BGC_LE.html)) for download or via web services. A subset (currently ~70 TB compressed) including the most useful variables is now [freely available on AWS S3](https://registry.opendata.aws/ncar-cesm-lens/) thanks to the [AWS Public Dataset Program](https://aws.amazon.com/opendata/open-data-sponsorship-program/).

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2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -16,7 +16,7 @@ tags:
- intake-esm

execute:
execute_notebooks: binder
execute_notebooks: auto

# Add a few extensions to help with parsing content
parse:
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