Published August 6, 2020 | Version v1
Software Open

An Examination of the Rear-Inflow Jet Evolution Associated with an Idealized Mesoscale Convective System

  • 1. University of Vermont
  • 2. UW-Milwaukee

Description

This study documents the response of a mature mesoscale convective system's rear-inflow jet to environmental changes in the near-surface temperature profile (i.e., thermodynamic stability) and lower-tropospheric vertical wind shear (i.e., environmental forcing for ascent). The associated manuscript (Crossett and Evans 2020) is currently under review for publication in the Journal of the Atmospheric Sciences.

This repository contains Cloud Model version 1 (CM1; Bryan and Fritsch 2002, Monthly Weather Review) code, configuration namelist, and input sounding used to conduct all numerical simulations in this study. It also contains MATLAB and shell scripts used in the base-state sensitivity simulations, used to diagnose the rear-inflow jet's response to the environmental modifications described above, reported in the same manuscript. All files are included in the .tar.gz archive accompanying this record.

The CM1 code is distributed according to the terms of the model's copyright:

CM1 Numerical Model, Release 19.10  (cm1r19.10)
4 March 2020

©2020 - University Corporation for Atmospheric Research

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished
to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

Files

Files (5.3 MB)

Name Size Download all
md5:7dcb7c8bef1d5f5bac7e610af39cc915
5.3 MB Download

Additional details

Funding

U.S. National Science Foundation
Numerical Assessment of the Practical and Intrinsic Predictability of Warm-Season Convection Initiation Using Mesoscale Predictability Experiment (MPEX) Data 1347545
U.S. National Science Foundation
Collaborative Research: SI2-SSI: Big Weather Web: A Common and Sustainable Big Data Infrastructure in Support of Weather Prediction Research and Education in Universities 1450439