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SOCRATESSingleColumnForcings

Construct forcing data from Atlas et al (2020), https://doi.org/10.1029/2020MS002205, for use with TurbulenceConvection.jl

https://github.com/jbphyswx/socratessinglecolumnforcings.jl

Science Score: 67.0%

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Repository

Construct forcing data from Atlas et al (2020), https://doi.org/10.1029/2020MS002205, for use with TurbulenceConvection.jl

Basic Info
  • Host: GitHub
  • Owner: jbphyswx
  • License: apache-2.0
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 1.52 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 9
  • Releases: 34
Created about 3 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

SOCRATESSingleColumnForcings

| DOI | DOI | |-----------------------------------|--------------------------------------------------|

This repository includes scripts to take in SOCRATES flight data and create both 2D [lev,time] datasets and 1D [lev] columns of time-interpoloation functions to force the CliMA EDMF Turbulence-Convection single-column model.

The profiles are created off the data used to force LES simulations by Atlas, 2020 (https://doi.org/10.1029/2020MS002205), some of her scripts are included in /RachelAtlasScripts.

The output data are too large to store here and so will be stored in box. They 1D functions are interpolated to the grid that Atlas used, but functions are provided to interpolate to your own grid/time and return either raw data in time or a column of spline functions...

You can retrieve data using /Data/Atlas_LES_Profiles/download_atlas_les_inputs.jl You can load retrieved data using /Data/Atlas_LES_Profiles/load_atlas_les_inputs.jl

The original profiles are also stored in /Data/Atlas_LES_Profiles/

There are a variety of helper functions in src/helper_functions.jl

However, the main setup for a case comes from running process_case() in src/process_case.jl

This constructs the forcing for your chosen flight on your chosen new vertical grid and time grids by interpolating Atlas's data onto the vertical grid, and, depending on if you chose to return the initial conidtion or not, either returns that initial conditoin or converts the time dimension into splines which can be evaluated at your chosen timestep.

The model returns forcings dTdt_hadv, H_nudge, dqtdt_hadv, qt_nudge, subsidence, u_nudge, v_nudge

H_nudge and qt_nudge are taken from your choice of forcings and represent relaxation of the thermal profile (liquid-ice potential temperature) and total moisture respectively

The remainder of the properties are always taken from the ERA5 based Atlas inputs.

Once this is finalized, perhaps the relevant parts can be ported to CliMA/AtmosphericProfilesLibrary.jl (CliMA/TurbulenceConvection.jl as is doesn't access this repo)

Owner

  • Name: Jordan Benjamin
  • Login: jbphyswx
  • Kind: user
  • Location: Pasadena, CA
  • Company: California Institute of Technology

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: SOCRATESSingleColumnStructureFunctions.jl
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Jordan
    name-particle: Jordan
    family-names: Benjamin
    email: jbenjami@caltech.edu
    affiliation: California Institute of Technology
    orcid: 'https://orcid.org/0009-0004-5326-2300'
abstract: >-
  Construct forcing data from Atlas et al (2020),
  https://doi.org/10.1029/2020MS002205, for use with
  TurbulenceConvection.jl

GitHub Events

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Packages

  • Total packages: 1
  • Total downloads:
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  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 36
juliahub.com: SOCRATESSingleColumnForcings

Construct forcing data from Atlas et al (2020), https://doi.org/10.1029/2020MS002205, for use with TurbulenceConvection.jl

  • Versions: 36
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1 Total
Rankings
Dependent repos count: 9.9%
Average: 24.4%
Dependent packages count: 38.9%
Last synced: 7 months ago