dc.contributor.author | Brunsell, Nathaniel A. | |
dc.contributor.author | Gillies, Robert R. | |
dc.date.accessioned | 2011-12-29T21:33:09Z | |
dc.date.available | 2011-12-29T21:33:09Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | Brunsell, N. A. and R. R. Gillies: 2003, Length scale analysis of surface energy uxes derived from remote sensing. Journal of Hydrometeorology, 4, 1212-1219. http://dx.doi.org/10.1175/1525-7541(2003)004<1212:LSAOSE>2.0.CO;2 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/8661 | |
dc.description.abstract | Wavelet multiresolution analysis was used to examine the variation in dominant length scales determined
from remotely sensed airborne- and satellite-derived surface energy flux data. The wavelet cospectra are computed
between surface radiometric temperature, fractional vegetation, and derived energy fluxes at airborne (12 m)
and Advanced Very High Resolution Radiometer (AVHRR) (1000 m) resolutions. Length scale analysis of highresolution
data shows that small-scale variability in temperature dominates over other effects. Analysis of coarseresolution
data shows that small-scale variations in vegetation are important, although the large-scale variation
in radiometric temperature dominates the derived fluxes. This is determined to be a result of the fact that, at
smaller scales, the incoming solar radiation effect is muted by the small-scale variability in vegetation, temperature,
and albedo, whereas at coarser scales, the large-scale effect of incoming radiation on temperature
dominates over the smaller-scale features in surface variability. | en_US |
dc.description.sponsorship | Funding was provided
through a grant from NASA Cooperative Agreement
NCC8-162 in support of the Global Energy and
Water Cycle Experiment (GEWEX) Continental-Scale
International Project (GCIP) and Utah Agricultural Experiment
Station, Utah State University, Logan, Utah. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | American Meteorological Society | en_US |
dc.title | Length Scale Analysis of Surface Energy Fluxes Derived from Remote Sensing | en_US |
dc.type | Article | |
kusw.kuauthor | Brunsell, Nathaniel A. | |
kusw.kudepartment | Geography | en_US |
dc.identifier.doi | 10.1175/1525-7541(2003)004<1212:LSAOSE>2.0.CO;2 | |
kusw.oaversion | Scholarly/refereed, publisher version | |
kusw.oapolicy | This item does not meet KU Open Access policy criteria. | |
dc.rights.accessrights | openAccess | |