IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/nm7tb_v1.html
   My bibliography  Save this paper

Entropic Suppression for Rain Nucleation and Drizzle Prediction

Author

Listed:
  • Stanley, Dustyn

Abstract

We develop a first-principles entropic suppression framework for droplet nucleation in clouds, unifying homogeneous, heterogeneous, and ice-phase pathways under a single suppression-potential formalism. We derive a continuum functional S[ρ_v, φ] whose saddle yields classical critical radii and free-energy barriers ΔG(r_c). By solving the associated Euler–Lagrange equations, we compute dimensionless barriers S*(S) and fluctuation-prefactors A, forming the nucleation rate: J(S) = A · exp[–S*(S)] Embedding J(S) into a 1D parcel model and 3D large-eddy simulation (LES) microphysics shows substantial improvements in drizzle onset timing and precipitation bias compared to classical Kelvin-based kernels.

Suggested Citation

  • Stanley, Dustyn, 2025. "Entropic Suppression for Rain Nucleation and Drizzle Prediction," OSF Preprints nm7tb_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:nm7tb_v1
    DOI: 10.31219/osf.io/nm7tb_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/68265ae293cf7dd9dbce9e8d/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/nm7tb_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:nm7tb_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.