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Empirical Mode Decomposition Filtering of Wind Profiles
- Source :
- AIAA Atmospheric Flight Mechanics Conference.
- Publication Year :
- 2016
- Publisher :
- American Institute of Aeronautics and Astronautics, 2016.
-
Abstract
- A filtering method based on the empirical mode decomposition (EMD) is developed to remove spurious, quasi-periodic features in measured wind profiles. These oscillatory features are associated with the pendulum motion of the sonde responding to the balloon’s lateral self-induced motions. Since these oscillations are not indicative of the actual wind, current balloon sounding systems apply digital filters to remove these artifacts. Data from two GPS-based wind profiling systems, the National Weather Service Radiosonde Replacement System (RRS) and the Low-Resolution Automated Meteorological Profiling System (AMPS), will be examined. These profiling systems employ pre-defined low-pass digital filters that have prescribed frequency cutoffs. Since the frequencies of the oscillations vary both temporally and spatially, conservative filter cutoffs must be used to ensure that these artifacts are suppressed. On the other hand, the EMD is a data-driven approach that resolves a time series as a summation of its unique intrinsic mode functions (IMF). As such, the EMD-based filtering is able to adaptively identify and remove the IMFs associated with these oscillations. The filter’s characteristics will be examined using synthetic data that exhibits the random oscillations of a pendulum responding to fractional Brownian motions. The practical effectiveness of the EMD filtering will be demonstrated using the RRS and AMPS data.
- Subjects :
- 020301 aerospace & aeronautics
010504 meteorology & atmospheric sciences
Computer science
business.industry
Pendulum
02 engineering and technology
Filter (signal processing)
01 natural sciences
Hilbert–Huang transform
Synthetic data
law.invention
0203 mechanical engineering
law
Radiosonde
Global Positioning System
Spurious relationship
business
Digital filter
Algorithm
0105 earth and related environmental sciences
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- AIAA Atmospheric Flight Mechanics Conference
- Accession number :
- edsair.doi...........1ea9cf2cc07f9887b23328a99199c736