Week 3 Annotated Biliography ERSC180
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School
American Public University *
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Course
180
Subject
Communications
Date
Feb 20, 2024
Type
docx
Pages
2
Uploaded by PresidentRiverWasp4
Annotated Bibliography
Name: Course Number: ERSC180-B001
Presentation Topic: Hurricane Irma
Source #1
Citation
(in APA format)
US Department of Commerce, N. (2018, July 23). Hurricane Irma Local
Report/Summary.
https://www.weather.gov/mfl/hurricaneirma
The
following watches and warnings were valid for all or parts of the following
counties in southern Florida: Broward, Collier, Glades, Hendry, Mainland
Monroe, Miami-Dade and Palm Beach. All times EDT.
Summary
The research conducted in the article describes the overall path and
changes that Hurricane Irma went through. The source uses National
Weather station and weather recording instruments to track wind speeds,
hurricane path, damage, and follow up weather issues. The source breaks
down the different reading per each County in Florida when the hurricane
passed over. Provided as well are images and videos of the exact path of
the hurricane as well as the meteorological changes it under went.
Evaluation
This website is a government ran website gathering information from
multiple weather centers and weather recording instruments. Reports
made by media coverage, storm surveys, and information from local
emergency mangers. These sources offered a multitude of information to
cross reference and provide as much reliable tracks of the hurricane.
Furthermore, the source provides graphs, charts, details, and images of
recorded data to evaluate the severity of the hurricane.
Source #2
Citation
(in APA format)
Elsberry, R. L. (2020). This contribution to this special issue on data
assimilation for tropical cyclone (TC) forecasts will focus on the
opportunities for improved initial conditions utilizing high spatial and
temporal resolution atmospheric motion vectors (AMVs) that are now
derivable from the new-generation geostationary meteorological satellite
GOES-16. Elsberry et al. (2018)
American Public University System
May 2018
Summary
This research utilizes a high-resolution GOES-16 atmospheric motion
vector (AMV) dataset to analyze and forecast the rapid intensification (RI)
of Hurricane Irma in 2017. The study introduces improvements to the
dynamic initialization technique, enhancing the accuracy of tracking the
storm’s outflow magnitude and areal extent. By integrating a near-surface
wind field adjustment as a constraint, the Coupled Ocean/Atmospheric
Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC) model
can quickly adapt to the cirrus-level GOES-16 AMVs, resulting in more
precise predictions. In comparison to lower-resolution data and other
initialization techniques, this method better predicts connections to
adjacent weather systems and accurately anticipates an intermediate 12-
hour period of constant storm intensity during Irma’s RI. These
enhancements offer valuable insights for hurricane forecasting and
understanding storm dynamics.
Evaluation
The article published in the journal “Atmosphere” and authored by a group
of researchers, including Russell L. Elsberry and Joel W. Feldmeier, among
others. The authors are affiliated with esteemed institutions such as the
University of Colorado-Colorado Springs and the Naval Postgraduate
School. This academic article, published by Multidisciplinary Digital
Publishing Institute, is known for its open-access, peer-reviewed scientific
journals. The presence of multiple authors, academic affiliations, and
references within the article enhances its authority.
Source #3
Citation
(in APA format)
Der Sarkissian, R., Dabaj, A., Diab, Y., & Vuillet, M. (2021). The recovery
phase consists of activities centered around local redevelopment planning
to enhance the pace, location, type, density, design, and cost of
redevelopment. Der Sarkissian, Rita (2021)
Summary
This study focuses on the “Build-Back-Better” (BBB) concept in critical
infrastructure (CI) systems, a topic with limited scientific literature. It seeks
to clarify the ambiguous “Better” aspect of BBB and presents a conceptual
analysis. By examining Saint-Martin’s CI before and after Hurricane Irma,
the study identifies indicators for assessing reconstruction projects. The
research offers a holistic interpretation of “Better” as “Build-Back-
resilient,” “Build-Back-sustainable,” and “Build-Back-accessible to all and
upgraded CI.” Saint-Martin’s unique challenges, including rapid population
growth and hurricane exposure, make it a fitting case for BBB integration.
The paper outlines its methodology, data sources, and steps for analyzing
CI state, damage, recovery, and evaluating BBB aspects. Overall, this
study contributes insights into applying BBB to CI systems, considering
Saint-Martin’s context and CI networks’ importance.
Evaluation
The source is a scientific study that provides a conceptual analysis of the
Build-Back-Better concept in the context of critical infrastructure systems.
Using Saint-Martin's experience with Hurricane Irma as a case study. The
study's focus on an underrepresented topic in scientific literature makes it
potentially valuable for researchers in the field of disaster management
and infrastructure resilience. The source is a peer reviewed scholarly
journal of the implementation of the Build-Back-Better concept.
American Public University System
May 2018
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