Skip to main content
Journal cover image

Multiscale analysis of vegetation surface fluxes: From seconds to years

Publication ,  Journal Article
Katul, G; Lai, CT; Schäfer, K; Vidakovic, B; Albertson, J; Ellsworth, D; Oren, R
Published in: Advances in Water Resources
November 1, 2001

The variability in land surface heat (H), water vapor (LE), and CO2 (or net ecosystem exchange, NEE) fluxes was investigated at scales ranging from fractions of seconds to years using eddy-covariance flux measurements above a pine forest. Because these fluxes significantly vary at all these time scales and because large gaps in the record are unavoidable in such experiments, standard Fourier expansion methods for computing the spectral and cospectral statistical properties were not possible. Instead, orthonormal wavelet transformations (OWJ) are proposed and used. The OWJ are ideal at resolving process variability with respect to both scale and time and are able to isolate and remove the effects of missing data (or gaps) from spectral and cospectral calculations. Using the OWJ spectra, we demonstrated unique aspects in three appropriate ranges of time scales: turbulent time scales (fractions of seconds to minutes), meteorological time scales (hour to weeks), and seasonal to interannual time scales corresponding to climate and vegetation dynamics. We have shown that: (1) existing turbulence theories describe the short time scales well, (2) coupled physiological and transport models (e.g. CANVEG) reproduce the wavelet spectral characteristics of all three land surface fluxes for meteorological time scales, and (3) seasonal dynamics in vegetation physiology and structure inject strong correlations between land surface fluxes and forcing variables at monthly to seasonal time scales. The broad implications of this study center on the possibility of developing low-dimensional models of land surface water, energy, and carbon exchange. If the bulk of the flux variability is dominated by a narrow band or bands of modes, and these modes "resonate" with key state and forcing variables, then low-dimensional models may relate these forcing and state variables to NEE and LE. © 2001 Published by Elsevier Science Ltd.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Advances in Water Resources

DOI

ISSN

0309-1708

Publication Date

November 1, 2001

Volume

24

Issue

9-10

Start / End Page

1119 / 1132

Related Subject Headings

  • Environmental Engineering
  • 4901 Applied mathematics
  • 4005 Civil engineering
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0102 Applied Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Katul, G., Lai, C. T., Schäfer, K., Vidakovic, B., Albertson, J., Ellsworth, D., & Oren, R. (2001). Multiscale analysis of vegetation surface fluxes: From seconds to years. Advances in Water Resources, 24(9–10), 1119–1132. https://doi.org/10.1016/S0309-1708(01)00029-X
Katul, G., C. T. Lai, K. Schäfer, B. Vidakovic, J. Albertson, D. Ellsworth, and R. Oren. “Multiscale analysis of vegetation surface fluxes: From seconds to years.” Advances in Water Resources 24, no. 9–10 (November 1, 2001): 1119–32. https://doi.org/10.1016/S0309-1708(01)00029-X.
Katul G, Lai CT, Schäfer K, Vidakovic B, Albertson J, Ellsworth D, et al. Multiscale analysis of vegetation surface fluxes: From seconds to years. Advances in Water Resources. 2001 Nov 1;24(9–10):1119–32.
Katul, G., et al. “Multiscale analysis of vegetation surface fluxes: From seconds to years.” Advances in Water Resources, vol. 24, no. 9–10, Nov. 2001, pp. 1119–32. Scopus, doi:10.1016/S0309-1708(01)00029-X.
Katul G, Lai CT, Schäfer K, Vidakovic B, Albertson J, Ellsworth D, Oren R. Multiscale analysis of vegetation surface fluxes: From seconds to years. Advances in Water Resources. 2001 Nov 1;24(9–10):1119–1132.
Journal cover image

Published In

Advances in Water Resources

DOI

ISSN

0309-1708

Publication Date

November 1, 2001

Volume

24

Issue

9-10

Start / End Page

1119 / 1132

Related Subject Headings

  • Environmental Engineering
  • 4901 Applied mathematics
  • 4005 Civil engineering
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0102 Applied Mathematics