Processing turbulence data collected on board the helicopter observation platform (HOP) with the empirical mode decomposition (EMD) method

Heidi E. Holder, M. Adam Bolch, Roni Avissar

Research output: Contribution to journalArticlepeer-review

Abstract

The Duke University Helicopter Observation Platform (HOP) has previously been shown to be a useful instrument for the measurement of turbulent atmospheric fluxes. As with all such measurements, especially those made from moving platforms, spurious signals, such as instrument noise and mesoscale atmospheric motions, are superposed on the desired signal. Empirical mode decomposition (EMD) is applied in a novel way to identify and separate out different signals represented by intrinsic mode functions (IMFs) in the HOP data and is shown to be an effective tool for the task. The method produces a basis that is adaptive, unique, and orthogonal, all of which are required for this type of data processing, and none of which are present in more traditional techniques. The results of applying EMDare shown to be nonlinear, and occasionally the removal of the correct number of IMFs increases the observed value of energy and fluxes calculated with the eddy correlation technique.

Original languageEnglish (US)
Pages (from-to)671-683
Number of pages13
JournalJournal of Atmospheric and Oceanic Technology
Volume28
Issue number5
DOIs
StatePublished - May 2011
Externally publishedYes

Keywords

  • Aircraft observations
  • Fluxes
  • Turbulence

ASJC Scopus subject areas

  • Ocean Engineering
  • Atmospheric Science

Fingerprint

Dive into the research topics of 'Processing turbulence data collected on board the helicopter observation platform (HOP) with the empirical mode decomposition (EMD) method'. Together they form a unique fingerprint.

Cite this