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The Impact of Unmanned Aircraft Syst...
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Trask, Taylor Nicole.
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The Impact of Unmanned Aircraft System Observations on Convection Initiation Along a Boundary in Numerical Weather Prediction.
Record Type:
Electronic resources : Monograph/item
Title/Author:
The Impact of Unmanned Aircraft System Observations on Convection Initiation Along a Boundary in Numerical Weather Prediction./
Author:
Trask, Taylor Nicole.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:
162 p.
Notes:
Source: Masters Abstracts International, Volume: 84-12.
Contained By:
Masters Abstracts International84-12.
Subject:
Atmospheric sciences. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30485670
ISBN:
9798379691738
The Impact of Unmanned Aircraft System Observations on Convection Initiation Along a Boundary in Numerical Weather Prediction.
Trask, Taylor Nicole.
The Impact of Unmanned Aircraft System Observations on Convection Initiation Along a Boundary in Numerical Weather Prediction.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 162 p.
Source: Masters Abstracts International, Volume: 84-12.
Thesis (M.S.)--The University of North Dakota, 2023.
This item must not be sold to any third party vendors.
Executing meteorological research experiments that utilize Small Unmanned Aircraft Systems (sUASs) is difficult due to regulatory limitations, and knowledge regarding weather impacts is limited. To overcome these challenges, an Observing System Simulation Experiment (OSSE) is used herein as a relatively inexpensive method to evaluate how these platforms could hypothetically improve the development, progression, and characteristics of simulated meteorological phenomena in Numerical Weather Prediction (NWP).This OSSE is part of a case study of an event that occurred in southwestern Oklahoma in May 2016 to examine how sUAS observations impact Convection Initiation (CI) along a boundary in NWP. Synthetic observations of dew point, temperature, wind speed and wind direction were collected by a simulated sUAS, and were ingested into the Weather Research and Forecasting (WRF) model via WRF Data Assimilation (WRFDA). The Three-Dimensional Variational Data Assimilation (3DVAR) technique was used and four sensitivity tests were conducted. These sensitivity tests included how the type of flight pattern, sampling frequency, background error covariance length scale, and assimilated observations impacted convection initiation along a dry line. Results showed that the type of flight pattern, background error covariance length scale, and type of observations assimilated significantly impacted CI and dry line characteristics.
ISBN: 9798379691738Subjects--Topical Terms:
3168354
Atmospheric sciences.
Subjects--Index Terms:
Three-Dimensional Variational Data Assimilation
The Impact of Unmanned Aircraft System Observations on Convection Initiation Along a Boundary in Numerical Weather Prediction.
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Executing meteorological research experiments that utilize Small Unmanned Aircraft Systems (sUASs) is difficult due to regulatory limitations, and knowledge regarding weather impacts is limited. To overcome these challenges, an Observing System Simulation Experiment (OSSE) is used herein as a relatively inexpensive method to evaluate how these platforms could hypothetically improve the development, progression, and characteristics of simulated meteorological phenomena in Numerical Weather Prediction (NWP).This OSSE is part of a case study of an event that occurred in southwestern Oklahoma in May 2016 to examine how sUAS observations impact Convection Initiation (CI) along a boundary in NWP. Synthetic observations of dew point, temperature, wind speed and wind direction were collected by a simulated sUAS, and were ingested into the Weather Research and Forecasting (WRF) model via WRF Data Assimilation (WRFDA). The Three-Dimensional Variational Data Assimilation (3DVAR) technique was used and four sensitivity tests were conducted. These sensitivity tests included how the type of flight pattern, sampling frequency, background error covariance length scale, and assimilated observations impacted convection initiation along a dry line. Results showed that the type of flight pattern, background error covariance length scale, and type of observations assimilated significantly impacted CI and dry line characteristics.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30485670
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