On The Genesis and Predictability of Hurricane Julia (2010)

Tropical cyclogenesis (TCG) continues to be one of the least understood processes in tropical meteorology today. While a robust theoretical frame- work for TCG within African Easterly Waves (AEWs) has recently been developed, little work explores the mesoscale processes and interactions with the AEW...

Full description

Bibliographic Details
Main Author: Cecelski, Stefan Francis
Other Authors: Zhang, Da-Lin, Digital Repository at the University of Maryland, University of Maryland (College Park, Md.), Atmospheric and Oceanic Sciences
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1903/15241
id ftunivmaryland:oai:drum.lib.umd.edu:1903/15241
record_format openpolar
spelling ftunivmaryland:oai:drum.lib.umd.edu:1903/15241 2023-05-15T17:36:22+02:00 On The Genesis and Predictability of Hurricane Julia (2010) Cecelski, Stefan Francis Zhang, Da-Lin Digital Repository at the University of Maryland University of Maryland (College Park, Md.) Atmospheric and Oceanic Sciences 2014 application/pdf http://hdl.handle.net/1903/15241 en eng http://hdl.handle.net/1903/15241 Atmospheric sciences Hurricane Mesoscale Meteorology Numerical Weather Modeling Tropical Meteorology Tropical Wave Dissertation 2014 ftunivmaryland 2022-11-11T11:15:36Z Tropical cyclogenesis (TCG) continues to be one of the least understood processes in tropical meteorology today. While a robust theoretical frame- work for TCG within African Easterly Waves (AEWs) has recently been developed, little work explores the mesoscale processes and interactions with the AEW during TCG. This study investigates the TCG of Hurricane Julia from the 2010 north Atlantic hurricane season using a series of high-resolution model simulation with the finest grid size of 1 km. In addition to a control simulation used to study the mesoscale processes during TCG, 20 ensemble simulations are conducted to identify key dynamical and thermodynamical processes taking place during TCG. These ensembles also serve to quantify the predictability of TCG while determining the processes responsible for ensemble solution disagreements. It is found that the TCG of Hurricane Julia is triggered by the pronounced upper-tropospheric warming associated with organized deep convection. The upper-level warming is able to intensify and become a meso-α-scale feature due to a storm-scale outflow beyond the Rossby radius of deformation. The simulation confirms previous ideas by demonstrating that the intersection of the AEW's trough axis and critical latitude is a preferred location for TCG, while supplementing such work by illustrating the importance of upper-tropospheric warming and meso-α-scale surface pressure falls during TCG. Ensemble simulations further elaborate on the mechanisms by depicting substantial parametric differences between the stronger and weaker members. The dominant pattern of mean sea-level pressure ensemble differences is associated with the intensity of the pre-tropical depression (pre-TD), explaining nearly half of the total variance at the time of TCG. Similar patterns of differences are found for the low-level absolute vorticity and upper-tropospheric temperature anomalies. An additional sensitivity simulation removing the latent heat of fusion associated with deposition results in significant ... Doctoral or Postdoctoral Thesis North Atlantic University of Maryland: Digital Repository (DRUM)
institution Open Polar
collection University of Maryland: Digital Repository (DRUM)
op_collection_id ftunivmaryland
language English
topic Atmospheric sciences
Hurricane
Mesoscale Meteorology
Numerical Weather Modeling
Tropical Meteorology
Tropical Wave
spellingShingle Atmospheric sciences
Hurricane
Mesoscale Meteorology
Numerical Weather Modeling
Tropical Meteorology
Tropical Wave
Cecelski, Stefan Francis
On The Genesis and Predictability of Hurricane Julia (2010)
topic_facet Atmospheric sciences
Hurricane
Mesoscale Meteorology
Numerical Weather Modeling
Tropical Meteorology
Tropical Wave
description Tropical cyclogenesis (TCG) continues to be one of the least understood processes in tropical meteorology today. While a robust theoretical frame- work for TCG within African Easterly Waves (AEWs) has recently been developed, little work explores the mesoscale processes and interactions with the AEW during TCG. This study investigates the TCG of Hurricane Julia from the 2010 north Atlantic hurricane season using a series of high-resolution model simulation with the finest grid size of 1 km. In addition to a control simulation used to study the mesoscale processes during TCG, 20 ensemble simulations are conducted to identify key dynamical and thermodynamical processes taking place during TCG. These ensembles also serve to quantify the predictability of TCG while determining the processes responsible for ensemble solution disagreements. It is found that the TCG of Hurricane Julia is triggered by the pronounced upper-tropospheric warming associated with organized deep convection. The upper-level warming is able to intensify and become a meso-α-scale feature due to a storm-scale outflow beyond the Rossby radius of deformation. The simulation confirms previous ideas by demonstrating that the intersection of the AEW's trough axis and critical latitude is a preferred location for TCG, while supplementing such work by illustrating the importance of upper-tropospheric warming and meso-α-scale surface pressure falls during TCG. Ensemble simulations further elaborate on the mechanisms by depicting substantial parametric differences between the stronger and weaker members. The dominant pattern of mean sea-level pressure ensemble differences is associated with the intensity of the pre-tropical depression (pre-TD), explaining nearly half of the total variance at the time of TCG. Similar patterns of differences are found for the low-level absolute vorticity and upper-tropospheric temperature anomalies. An additional sensitivity simulation removing the latent heat of fusion associated with deposition results in significant ...
author2 Zhang, Da-Lin
Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Atmospheric and Oceanic Sciences
format Doctoral or Postdoctoral Thesis
author Cecelski, Stefan Francis
author_facet Cecelski, Stefan Francis
author_sort Cecelski, Stefan Francis
title On The Genesis and Predictability of Hurricane Julia (2010)
title_short On The Genesis and Predictability of Hurricane Julia (2010)
title_full On The Genesis and Predictability of Hurricane Julia (2010)
title_fullStr On The Genesis and Predictability of Hurricane Julia (2010)
title_full_unstemmed On The Genesis and Predictability of Hurricane Julia (2010)
title_sort on the genesis and predictability of hurricane julia (2010)
publishDate 2014
url http://hdl.handle.net/1903/15241
genre North Atlantic
genre_facet North Atlantic
op_relation http://hdl.handle.net/1903/15241
_version_ 1766135831642243072