The data for "The feasibility of asynchronous rotation via thermal tides for diverse atmospheric compositions"

<p>Supporting code and data for Salazar &amp; Wordsworth, 2024&nbsp;</p> <p><strong>Description of Jupyter Notebook files:</strong></p> <p>(Figure_X.ipynb) Contains code for recreating all figures appearing in S&amp;W, 2024 (labeled by figure number, X)</p> <p>(ExoTides_analytic.ipynb) Contains functions from the analytic model for calculating torque and rotation states as a function of orbital and atmospheric paramters</p> <p>(LMDZ_Processing.ipynb) Code for processing raw LMDZ data, including centering at the substellar point, spherical harmonic decomposition, and calculation of torque, amplitude, and lag</p> <p>(ExoTides_int.ipynb) Demonstrates solutions by integrating Equation (7) numerically (not done in paper). Also includes a comparison with the analytic model</p> <p><strong>Description of Numpy array files:</strong></p> <p>These files contain numpy arrays of the torque (im_q), amplitude (amp), lag angle (lag), and parameter values (list) for each of the GCM sensitivity tests performed in S&amp;W, 2024. These files were created using the LMDZ_Processing.ipynb file, which takes raw GCM output and outputs the torque information. Full details are available in the publication.</p> <p>The beginning of each .npy file name signifies which sensitivity test the file is (ex: taulw indicates the longwave optical depth sensitivity test). The Figure_2.ipynb file shows how these .npy files are used.&nbsp;</p> <p><strong>Descrition of .csv file:</strong></p> <p>The nasa_exoplanet.csv file contains output from the NASA Exoplanet Archive (DOI: 10.26133/NEA12) and is used in the creation of Figure 7.&nbsp;</p> <p>&nbsp;</p>