Skip to main content
zenodoopen

PICASO Correlated-K's for On-the-Fly Disequilibrium Climate Calculations

<p>The code that creates these correlated-K files is located <a href="https://github.com/natashabatalha/picaso/blob/4d907355da9e1dcca36cd053a93ef6112ce08807/picaso/opacity_factory.py#L1491">here in PICASO</a>. In short we use the double-gauss correlated-k method to compute these. The structure of the python file can be seen in the code provided.&nbsp;</p> <p>The code snippet provided for reproducibility relies on our full database of high resolution line-by-line opacities. Lack of access will hinder a user to fully reproduce these files. Our full database of high resolution opacities are in the process of being made downloadable via science.data.nasa.gov/opacities . Stay tuned!&nbsp;</p> <p>Once downloaded, they should be placed in `$picaso_refdata/climate_INPUTS_661` in accordance with <a href="https://natashabatalha.github.io/picaso/notebooks/climate/12c_BrownDwarf_DEQ.html">this tutorial</a>.&nbsp;</p> <p>For a full descritpion of what line data was used to compute these see <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240200756M/abstract">Mukherjee et al. 2024</a>.&nbsp;</p> <p>&nbsp;</p> <p><strong>We recommend downloading the all the files</strong></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
March 28, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.10895825

Scored with release 0.9.0

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.