Jeremy Alan Gibbs

Jeremy Alan Gibbs
National Oceanic and Atmospheric Administration | NOAA · National Severe Storms Laboratory (NSSL)

Ph.D. in Meteorology

About

27
Publications
5,219
Reads
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360
Citations
Additional affiliations
July 2019 - July 2020
University of Oklahoma
Position
  • Researcher
Description
  • I use computers to study atmospheric boundary layers and turbulence.
October 2016 - July 2019
University of Utah
Position
  • Professor (Assistant)
October 2014 - October 2016
University of Oklahoma
Position
  • PostDoc Position
Education
January 2009 - December 2012
University of Oklahoma
Field of study
  • Meteorology
August 2006 - December 2008
University of Oklahoma
Field of study
  • Meteorology
August 2002 - May 2006
University of Oklahoma
Field of study
  • Meteorology

Publications

Publications (27)
Article
Full-text available
Weather Research and Forecasting (WRF) model predictions using different boundary layer schemes and horizontal grid spacings were compared with observational and numerical large-eddy simulation data for conditions corresponding to a dry atmospheric convective boundary layer (CBL) over the southern Great Plains (SGP). The first studied case exhibite...
Article
Full-text available
Some 36 years following its creation, the Deardorff 1980 (D80) subgrid turbulence model is perhaps still the most ubiquitous scheme used in large-eddy simulation (LES) studies of atmospheric boundary-layer flows. This model is often included as the default closure scheme in a variety of codes and numerical weather prediction models. In this study,...
Article
Full-text available
Over the last 50 years the large-eddy simulation (LES) technique has developed into one of the most prominent numerical tools used to study transport processes in the atmospheric boundary layer (ABL). This review examines development of the technique as a tool for ABL research, integration with state-of-the-art scientific computing resources, and s...
Article
Full-text available
The turbulence temperature spectrum and structure parameter are related through a widely-adopted proportionality coefficient. We formally derive this expression, and present further evidence, to demonstrate that this coefficient is too large by a factor of two.
Article
We extend our previous study, which dealt with structure functions of potential temperature fluctuations, and focus on the characteristics of second-order velocity structure functions and corresponding structure parameters in the atmospheric convective boundary layer. We consider the three previously reported methods to compute the structure parame...
Article
Full-text available
A microscale wildfire model, QES-Fire, that dynamically couples the fire front to microscale winds was developed using a simplified physics rate of spread (ROS) model, a kinematic plume-rise model and a mass-consistent wind solver. The model is three-dimensional and couples fire heat fluxes to the wind field while being more computationally efficie...
Article
QES-Winds is a fast-response wind modelling platform for simulating high-resolution mean wind fields for optimization and prediction. The code uses a variational analysis technique to solve the Poisson equation for Lagrange multipliers to obtain a mean wind field and GPU parallelization to accelerate the numerical solution of the Poisson equation....
Article
Workshop on Current and Future Uses of Unmanned Aircraft Systems (UASs) for Improved Forecasts/Warnings and Scientific Studies What: Sixty-three participants including graduate students, postdoctoral fellows, and senior researchers working in the atmospheric sciences at U.S. and international universities, private companies, and government laborat...
Article
The NOAA Warn-on-Forecast System (WoFS) is an experimental rapidly-updating convection-allowing ensemble designed to provide probabilistic operational guidance on high-impact thunderstorm hazards. The current WoFS uses physics diversity to help maintain ensemble spread. We assess the systematic impacts of the three WoFS PBL schemes —YSU, MYJ, and M...
Presentation
A new dispersion modeling system based on the well-used FORTRAN-based QUIC (Quick Urban and Industrial Complex) dispersion modeling system has been under development to provide high-resolution wind and concentration fields in cities. The fast response 3D diagnostic urban wind model written in C++, CUDA-URB, is a rapid mass conserving wind-field sol...
Article
During the 2015 Plains Elevated Convection at Night (PECAN) field campaign, several nocturnal low-level jets (NLLJs) were observed with integrated boundary layer profiling systems at multiple sites. This paper gives an overview of selected PECAN NLLJ cases and presents a comparison of high-resolution observations with numerical simulations using th...
Article
Full-text available
Previous studies have shown that the Weather Research and Forecasting (WRF) Model often underpredicts the strength of the Great Plains nocturnal low-level jet (NLLJ), which has implications for weather, climate, aviation, air quality, and wind energy in the region. During the Lower Atmospheric Boundary Layer Experiment (LABLE) conducted in 2012, NL...
Article
Full-text available
This paper describes MicroHH 1.0, a new and open-source (www.microhh.org) computational fluid dynamics code for the simulation of turbulent flows in the atmosphere. It is primarily made for direct numerical simulation but also supports large-eddy simulation (LES). The paper covers the description of the governing equations, their numerical implemen...
Article
Full-text available
Nocturnal low-level jets (LLJs) over gently sloping terrain typical of the U.S. Great Plains are investigated by means of direct numerical simulation. Such LLJs develop in a tilted atmospheric boundary layer as a result of inertia–gravity oscillations initiated by a change of the surface thermal forcing during the evening transition. External param...
Article
Full-text available
This paper describes MicroHH 1.0, a new and open source (ww.microhh.org) computational fluid dynamics code for the simulation of turbulent flows in the atmosphere. It is primarily made for direct numerical simulation, but also supports large-eddy simulation (LES). The paper covers the description of the governing equations, their numerical implemen...
Article
Full-text available
In many engineering and meteorological applications, atmospheric turbulence within the planetary boundar layer is described in terms of its representative parameters. One such parameter is the structure-function (or structure) parameter that is used to characterize the intensity of turbulent fluctuations of atmospheric flow variables. Structure par...
Article
Full-text available
An analytical solution of the Boussinesq equations for the motion of a viscous stably stratified fluid driven by a surface thermal forcing with large horizontal gradients (step changes) is obtained. This analytical solution is one of the few available for wall-bounded buoyancy-driven flows. The solution can be used to verify that computer codes for...
Article
Full-text available
Small-scale turbulent fluctuations of temperature are known to affect the propagation of both electromagnetic and acoustic waves. Within the inertial-subrange scale, where the turbulence is locally homogeneous and isotropic, these temperature perturbations can be described, in a statistical sense, using the structure-function parameter for temperat...
Article
Full-text available
An analytical solution of the Boussinesq equations for the motion of a viscous stably stratified fluid driven by a surface thermal forcing with large horizontal gradients (step changes) is obtained. The solution can be used to verify that computer codes for Boussinesq fluid system simulations are free of errors in formulation of wall boundary condi...
Article
Full-text available
The structure function is often used to quantify the intensity of spatial inhomo-geneities within turbulent flows. Here, the Small Multifunction Research and Teaching Sonde (SMARTSonde), an unmanned aerial system, is used to measure horizontal variations in temperature and to calculate the structure function of temperature at various heights for a...
Article
Full-text available
Two formulations of the surface thermal boundary condition commonly employed in numerical modelling of atmospheric stably stratified surface-layer flows are evaluated using analytical considerations and observational data from the Cabauw site in the Netherlands. The first condition is stated in terms of the surface heat flux and the second is state...
Article
Full-text available
As computing capabilities expand, operational and research environments are moving toward the use of finescale atmospheric numerical models. These models are attractive for users who seek an accurate description of small-scale turbulent motions. One such numerical tool is the Weather Research and Forecasting (WRF) model, which has been extensively...
Article
Full-text available
A sodar simulator capable of producing time-series data emulating sodar signals has been developed and tested. The atmospheric fields used to populate the sodar simulator are taken from output of a large eddy simulation code. The characteristics of the sodar (e.g., number and zenith angle of beams, beam width, transmit frequency, range resolution,...
Article
Full-text available
Six state-of-the-art large-eddy simulation codes were compared in Fedorovich et al. (Preprints, 16th American Meteorological Society Symposium on Boundary Layers and Turbulence, 2004b) for three airflow configurations in order to better understand the effect of wind shear on entrainment dynamics in the convective boundary layer CBL). One such code...

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Projects

Projects (7)
Project
Developing a new wind solver (QES-Winds) based on the well-used FORTRAN code QUIC-URB (Quick Urban and Industrial Complex) wind modeling system to provide high-resolution wind fields in cities and over complex terrain. This high-resolution wind-field then can be used to predict and optimize pollution dispersion in cities and wildfire propagation over complex terrain. The solver, QES-Winds, is a fast-response 3D diagnostic wind model written in C++, which solves a mass-conservation equation for the wind field rather than slower yet more physics-based solvers that include conservation of momentum. Our goal is to accelerate QES-Winds so it can handle very large domains, improve the representation of building and terrain geometries by utilizing the cut-cell method, and improve the empirical parameterizations for tall buildings.