Spatial source-area analysis of three-dimensional moisture fields from lidar, eddy covariance, and a footprint model

D. I. Cooper, W. E. Eichinger, J. Archuleta, L. Hipps, J. Kao, M. Y. Leclerc, C. M. Neale, J. Prueger

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The Los Alamos National Laboratory scanning Raman lidar was used to measure the three-dimensional moisture field over a salt cedar canopy. A critical question concerning these measurements is; what are the spatial properties of the source region that contributes to the observed three-dimensional moisture field? Traditional methods used to address footprint properties rely on point sensor time-series data and the assumption of Taylor's hypothesis to transform temporal data into the spatial domain. In this paper, the analysis of horizontal source-area size is addressed from direct lidar-based spatial analysis of the moisture field, eddy covariance co-spectra, and a dedicated footprint model. The results of these analysis techniques converged on the microscale average source region of between 25 and 75 m under ideal conditions. This work supports the concept that the scanning lidar can be used to map small scale boundary layer processes, including riparian zone moisture fields and fluxes.

Original languageEnglish (US)
Pages (from-to)213-234
Number of pages22
JournalAgricultural and Forest Meteorology
Volume114
Issue number3-4
DOIs
StatePublished - Jan 31 2003
Externally publishedYes

Keywords

  • Latent energy flux
  • Spatial source-area analysis
  • Three-dimensional moisture

ASJC Scopus subject areas

  • Global and Planetary Change
  • Forestry
  • Agronomy and Crop Science
  • Atmospheric Science

Fingerprint

Dive into the research topics of 'Spatial source-area analysis of three-dimensional moisture fields from lidar, eddy covariance, and a footprint model'. Together they form a unique fingerprint.

Cite this