Observing System Simulation Experiments Using Small Unmanned Aerial Vehicles in Various Configurations to Improve High-Resolution Forecasts of Convection

Shenoy, Vivek

Observing System Simulation Experiments Using Small Unmanned Aerial Vehicles in Various Configurations to Improve High-Resolution Forecasts of Convection

dc.contributor.advisor	Brewster, Keith
dc.contributor.author	Shenoy, Vivek
dc.contributor.committeeMember	Chilson, Phillip
dc.contributor.committeeMember	Carr, Frederick
dc.date.accessioned	2021-09-16T18:44:56Z
dc.date.available	2021-09-16T18:44:56Z
dc.date.issued	2021
dc.date.manuscript	2021-08-27
dc.description.abstract	There has been a lot of interest and development of small Unmanned Aerial Vehicles (sUAVs) to obtain atmospheric measurements for research and operations. Some have proposed a 3D Mesonet concept to add vertical profiling to mesonets such as the Oklahoma Mesonet. Observation System Simulation Experiments (OSSEs) are an effective tool to measure the impact of a proposed observing system before a complete set of observations are available, and thus are the ideal tool to study different configurations of sUAVs that may be deployed in such a 3D Mesonet. In this OSSE study, a Nature Run is constructed using a short term 3 km and 1 km WRF nested model forecast covering Oklahoma and parts of surrounding states. Simulated sUAV profiles, as well as observations representing standard existing observations, are created from the WRF model forecast. The observations are then assimilated into the ARPS hourly for 6 hours. The case being examined is the May 20, 2013 severe weather outbreak in central and eastern Oklahoma. The sUAV system’s ability to update the background forecast for conditions on May 20, focusing on convective initiation and early storm development in the afternoon, is assessed. To examine the effect of adding simulated sUAV observations, experiments are run to test the impact of sUAV simulated observations at various max heights to 3 km. The number of simulated sUAV observations is also varied up to 108 sites. Additional experiments were run to test the impact of adjusting analysis parameters, changing the time interval of observations down to 30 minute intervals and adjusting the start time of the assimilation of data. From the forecasts of convection in the OSSE experiments, we can clearly see positive impact from the addition of the sUAV observations in the convective initiation and early storm evolution. The quantitative impacts on the forecast state variables show clear positive dependence on the height of the sUAV data assimilated. There is also improvement in timing and placement of convection when the interval of consecutive UAV obs is reduced from hourly to every 30 minutes. However, there is not as much improvement in fitting the UAV sites to the average site density for 50 or fewer UAV sites, nor is there a clear linear relationship between delaying start times of consecutive hourly UAV obs and the areal coverage and placement of convective initiation. It is also found that decreasing the sUAV observation interval to 30 minutes from 1 hour while using 50 sites cannot replicate the results from using 108 sites.	en_US
dc.identifier.uri	https://hdl.handle.net/11244/330811
dc.language	en_US	en_US
dc.subject	Unmanned Aerial Vehicle	en_US
dc.subject	UAV	en_US
dc.subject	Observing System Simulation Experiment	en_US
dc.subject	OSSE	en_US
dc.subject	observation needs	en_US
dc.subject	aviation	en_US
dc.subject	high-resolution numerical weather prediction	en_US
dc.subject	boundary layer evolution	en_US
dc.subject	drylines	en_US
dc.subject	severe weather	en_US
dc.thesis.degree	Master of Science in Meteorology	en_US
dc.title	Observing System Simulation Experiments Using Small Unmanned Aerial Vehicles in Various Configurations to Improve High-Resolution Forecasts of Convection	en_US
ou.group	College of Atmospheric and Geographic Sciences::School of Meteorology	en_US
shareok.orcid	0000-0002-4299-6171	en_US