RAP opportunity at National Oceanic and Atmospheric Administration NOAA
Thunderstorm Electrification Modeling and Lightning Data Assimilation in Mesoscale Models
Location
National Severe Storms Laboratory
opportunity |
location |
|
26.76.00.B4638 |
Norman, OK 73072 |
Advisers
name |
email |
phone |
|
Edward R. Mansell |
ted.mansell@noaa.gov |
405.325.6177 |
Conrad L. Ziegler |
conrad.ziegler@noaa.gov |
405.325.6221 |
Description
This project investigates various aspects of thunderstorm electrification and lightning production in warm- and cold-season storms and storm systems. Our goal is to improve the understanding of electrical phenomena and to develop applications of lightning data for weather operations and forecast models. Possible emphases include storm modeling studies, lightning forecasting, or data assimilation into numerical weather prediction models. Modeling studies use three-dimensional electrified cloud models to explore the charge distribution and lightning produced in storms by a variety of electrification mechanisms. Cloud-mesoscale model results can be compared with observations to examine and refine the characteristics of model parameterizations and to better understand the storm processes that lead to the observed electrical behaviors. We are particularly interested in the inter-relationships of storm dynamics, kinematics, microphysics, electric fields, and lightning. Available observations for verification include microphysics and electric fields inside storms from aircraft penetrations and balloon soundings, lightning location and structure from a three-dimensional lightning mapper, lightning strikes to ground from a national network, and radar-derived airflow and precipitation fields. We also develop electrification and lightning modules to forecast lightning in standard numerical weather prediction models. Data assimilation research investigates techniques for using lightning observations to correct the location and intensity of deep moist convection during the assimilation period, to improve the initial conditions of mesoscale weather prediction models and improve their subsequent forecasts.
References
Mansell ER, Ziegler CL, MacGorman DR: Monthly Weather Review 135: 1732, 2007
Fierro, AO, et al: Journal of the Atmospheric Sciences 72: 4167, doi: 10.1175/JAS-D-14-0374.1, 2015
Fierro, AO, et al: Monthly Weather Review 144: 4373, doi: 10.1175/MWR-D-16-0053.1, 2016
key words
Thunderstorm; Electrification; Modeling; Lightning; Data assimilation; Cloud model; Mesoscale model; Microphysics parameterization; Weather prediction; Lightning forecast;
Eligibility
Citizenship:
Open to U.S. citizens, permanent residents and non-U.S. citizens
Level:
Open to Postdoctoral and Senior applicants
Stipend
Base Stipend |
Travel Allotment |
Supplementation |
|
$60,000.00 |
$3,000.00 |
$24,000 Supplement for Doctorates in Electrical Engineering |
Experience Supplement
Postdoctoral and Senior awardees will receive an appropriately higher stipend based on the number of years of experience past their PhD.
|
Additional Benefits
Relocation
Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.
Health insurance
A group health insurance program is available to awardees and their qualifying dependents in the United States.