Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Michael T. Kiefer is active.

Publication


Featured researches published by Michael T. Kiefer.


Journal of the Atmospheric Sciences | 2009

Regimes of Dry Convection above Wildfires: Idealized Numerical Simulations and Dimensional Analysis*

Michael T. Kiefer; Matthew D. Parker; Joseph J. Charney

Abstract Wildfires are capable of inducing atmospheric circulations that result predominantly from large temperature anomalies produced by the fire. The fundamental dynamics through which a forest fire and the atmosphere interact to yield different convective regimes is still not well understood. This study uses the Advanced Regional Prediction System (ARPS) model to investigate the impact of the environmental (i.e., far upstream, undisturbed by fire) wind profile on dry convection above a prescribed heat source of an intensity and spatial scale comparable to a wildfire. Dimensional analysis of the fire–atmosphere problem provides two relevant parameters: a surface buoyancy parameter that addresses the amount of heat a parcel of air receives in transiting above the fire and an advection parameter that addresses the degree to which the environmental wind advects updrafts away from the fire. Two-dimensional simulations are performed in which the upstream surface wind speed and mixed layer mean wind speed ar...


Journal of Applied Meteorology and Climatology | 2014

Multiscale Simulation of a Prescribed Fire Event in the New Jersey Pine Barrens Using ARPS-CANOPY

Michael T. Kiefer; Warren E. Heilman; Shiyuan Zhong; Joseph J. Charney; Xindi Bian; Nicholas Skowronski; John L. Hom; Kenneth L. Clark; Matthew Patterson; Michael R. Gallagher

Smoke prediction products are one of the tools used by land management personnel for decision making regarding prescribed fires. This study documents the application to a prescribed fire of a smoke prediction system that employs ARPS-CANOPY, a modified version of the Advanced Regional Prediction System (ARPS) model containing a canopy submodel, as the meteorological driver. In this paper, the performance of ARPS-CANOPY in simulating meteorological fields in the vicinity of a low-intensity fire is assessed using flux-tower data collected prior to and during a low-intensity prescribed fire in the New Jersey Pine Barrens in March 2011. A three-dimensional high-resolution plant area density dataset is utilized to define the characteristics of the canopy, and the fire is represented in ARPS-CANOPY as a heat flux to the atmosphere. The standard ARPS model is compared with reanalysis and upper-air data to establish that the model can simulate the observed synoptic-mesoscale and planetary boundary layer features that are salient to this study. ARPS-CANOPY profiles of mean turbulent kinetic energy, wind speed/direction, and temperature exhibit patterns that appear in the flux-tower observations during both the preburn phase of the experiment and the period of time the flux tower experienced perturbed atmospheric conditions due to the impinging fire. Last, the character and source of turbulence in and around the fire line are examined. These results are encouraging for smoke prediction efforts since transport of smoke from low-intensity fires is highly sensitive to the near-surface meteorological conditions and, in particular, turbulent flows.


Journal of the Atmospheric Sciences | 2008

A Study of Two-Dimensional Dry Convective Plume Modes with Variable Critical Level Height

Michael T. Kiefer; Yuh-Lang Lin; Joseph J. Charney

Abstract This study investigates the impact of wind speed and critical level height on dry convection above a prescribed heat source. This is done using the Advanced Regional Prediction System (ARPS) model in its two-dimensional form with an imposed 400-K soil potential temperature perturbation. The result of these experiments is the identification of three modes of convective plumes. The first, termed multicell convective plumes, is analogous to multicell convection generated from squall-line cold pools in the moist atmosphere. The second mode, a deep wave mode, consists of disturbances with wavelengths of 7–10 km and results from the multicell plumes perturbing the dynamically unstable shear flow centered at the critical level. The third mode, termed the intense fire plume, has stronger updrafts than the multicell mode and is marked by quasi-stationary movement and substantial low-level inflow and upper-level outflow. The presence of a critical level is shown to be crucial to the development of both the...


Journal of Applied Meteorology and Climatology | 2015

Mean and turbulent flow downstream of a low-intensity fire: Influence of canopy and background atmospheric conditions

Michael T. Kiefer; Warren E. Heilman; Shiyuan Zhong; Joseph J. Charney; Xindi Bian

This study examines the sensitivity of mean and turbulent flow in the planetary boundary layer and roughness sublayer to a low-intensity fire and evaluates whether the sensitivity is dependent on canopy and background atmospheric properties. The ARPS-CANOPY model, a modified version of the Advanced Regional Prediction System (ARPS) model with a canopy parameterization, is utilized for this purpose. A series of numerical experiments are conducted to evaluate whether the ability of the fire to alter downstream wind, temperature, turbulent kinetic energy (TKE), and vertical heat flux differs between forested and open areas, sparse and dense forests, weak and strong background flow, and neutral and convective background stability. Analysis of all experiments shows that, in general, mean and turbulent flow both prior to and during a low-intensity fire is damped in the presence of a canopy. Greater sensitivity to the fire is found in cases with strong ambient wind speed than in cases with quiescent or weak wind speed. Furthermore, sensitivity of downstreamatmospheric conditions to the fire is shown to be strongest with a neutrally stratified background. An analysis of the TKE budget reveals that both buoyancy and wind shear contribute to TKE production duringtheperiodoftimeinwhichthefireconditionsareappliedtothemodel.Onthebasisoftheresultsofthe ARPS simulations, caution is advised when applying ARPS-simulation results to predictions of smoke transport and dispersion: smoke-model users should consider whether canopy impacts on the atmosphere are accounted for and whether neutral stratification is assumed.


Journal of the Atmospheric Sciences | 2010

Regimes of Dry Convection above Wildfires: Sensitivity to Fire Line Details

Michael T. Kiefer; Matthew D. Parker; Joseph J. Charney

Abstract Fire lines are complex phenomena with a broad range of scales of cross-line dimension, undulations, and along-line variation in heating rates. While some earlier studies have examined parcel processes in two-dimensional simulations, the complexity of fire lines in nature motivates a study in which the impact of three-dimensional fire line details on parcel processes is examined systematically. This numerical modeling study aims to understand how fundamental processes identified in 2D simulations operate in 3D simulations where the fire line is neither straight nor uniform in intensity. The first step is to perform simulations in a 3D model, with no fire line undulations or inhomogeneity. In general, convective modes simulated in the 2D model are reproduced in the 3D model. In one particular case with strong vertical wind shear, new convection develops separate from the main line of convection as a result of local changes to parcel speed and heating. However, in general the processes in the 2D and...


Journal of Geophysical Research | 2018

A Numerical Study of Atmospheric Perturbations Induced by Heat From a Wildland Fire: Sensitivity to Vertical Canopy Structure and Heat Source Strength

Michael T. Kiefer; Shiyuan Zhong; Warren E. Heilman; Joseph J. Charney; Xindi Bian

An improved understanding of atmospheric perturbations within and above a forest during a wildland fire has relevance to many aspects of wildland fires including fire spread, smoke transport and dispersion, and tree mortality. In this study, the ARPS-CANOPY model, a version of the Advanced Regional Prediction System (ARPS) model with a canopy parameterization, is utilized in a series of idealized numerical experiments to investigate the influence of vertical canopy structure on the atmospheric response to a stationary sensible heat flux at the ground (“fire heat flux”), broadly consistent in magnitude with the sensible heat flux from a low-intensity surface fire. Five vertical canopy structures are combined with five fire heat flux magnitudes to yield a matrix of 25 simulations. Analyses of the fire-heat-flux-perturbed u component of the wind, vertical velocity, kinetic energy, and temperature show that the spatial pattern and magnitude of the perturbations are sensitive to vertical canopy structure. Both vertical velocity and kinetic energy exhibit an increasing trend with increasing fire heat flux that is stronger for cases with some amount of overstory vegetation than cases with exclusively understory vegetation. A weaker trend in cases with exclusively understory vegetation indicates a damping of the atmospheric response to the sensible heat from a surface fire when vegetation is most concentrated near the surface. More generally, the results presented in this study suggest that canopy morphology should be considered when applying the results of a fire-atmosphere interaction study conducted in one type of forest to other forests with different canopy structures.


Journal of Geophysical Research | 2011

An idealized modeling study of nocturnal cooling processes inside a small enclosed basin

Michael T. Kiefer; Shiyuan Zhong


Meteorology and Atmospheric Physics | 2006

Characterizing the severe turbulence environments associated with commercial aviation accidents. A real-time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments

Michael L. Kaplan; Joseph J. Charney; K. T. Waight; Kevin M. Lux; J. D. Cetola; Allan W. Huffman; Allen J. Riordan; S. D. Slusser; Michael T. Kiefer; Paul S. Suffern; Yuh-Lang Lin


Journal of Geophysical Research | 2013

Evaluation of an ARPS-based canopy flow modeling system for use in future operational smoke prediction efforts

Michael T. Kiefer; Shiyuan Zhong; Warren E. Heilman; Joseph J. Charney; Xindi Bian


Journal of Geophysical Research | 2013

The effect of sidewall forest canopies on the formation of cold‐air pools: A numerical study

Michael T. Kiefer; Shiyuan Zhong

Collaboration


Dive into the Michael T. Kiefer's collaboration.

Top Co-Authors

Avatar

Shiyuan Zhong

Michigan State University

View shared research outputs
Top Co-Authors

Avatar

Joseph J. Charney

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar

Warren E. Heilman

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar

Xindi Bian

United States Forest Service

View shared research outputs
Top Co-Authors

Avatar

Yuh-Lang Lin

North Carolina State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Christian Frankenberg

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

David Noone

Oregon State University

View shared research outputs
Top Co-Authors

Avatar

Derek Brown

Cooperative Institute for Research in Environmental Sciences

View shared research outputs
Top Co-Authors

Avatar

John R. Worden

California Institute of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge