Abstract

Satellite wind vector data is integral to atmospheric models and forecasts. Currently, the limited refresh rate of global wind vector measurement systems makes it difficult to observe diurnal variation of mesoscale processes. Using advancements in the underlying subsystem technologies, new satellite wind scatterometers may be possible that increase temporal resolution, among other performance metrics. I propose a method for parametrically modeling the extreme performance range of a complex system. I use this method to develop a model of the space of possible satellite wind scatterometer designs. I validate the model using point designs of heritage scatterometers. Finally, I present two example concepts for constellations of cooperative satellite wind scatterometers capable of measuring global ocean surface vector winds every hour for the same total cost as a single heritage scatterometer.

Degree

MS

College and Department

Ira A. Fulton College of Engineering and Technology

Rights

https://lib.byu.edu/about/copyright/

Date Submitted

2021-07-30

Document Type

Thesis

Handle

http://hdl.lib.byu.edu/1877/etd11795

Keywords

scatterometer, satellite constellations, CubeSat, ocean vector winds, remote sensing, parametric modeling, remote sensing, system engineering, radar, engineering process

Language

english

Included in

Engineering Commons

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