Quantifying the complexity in mapping energy inputs and hydrologic state variables into land-surface fluxes

Physics – Geophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4

Atmospheric Composition And Structure: Biosphere/Atmosphere Interactions, Hydrology: Water/Energy Interactions, Mathematical Geophysics: Nonlinear Dynamics, Meteorology And Atmospheric Dynamics: Land/Atmosphere Interactions

Scientific paper

This study explores the complexity (or disorder) in mapping energy (Rn) forcing to land surface fluxes of sensible heat (Hs), water vapor (LE), and carbon dioxide (or net ecosystem exchange, NEE) for different soil water states (θ). Specifically, we ask, does the vegetation act to increase or dissipate statistical entropy injected from Rn? We address this question using novel scalar complexity measures applied to a long-term time series record of Rn, θ, Hs, LE, and NEE collected over a uniform pine forest. This analysis is the first to demonstrate that vegetation dissipates scalar flux entropy injected through Rn. We also find that the entropy or disorder in scalar fluxes increases with increasing Rn and that the complexity in mapping Rn to scalar fluxes is reduced with increasing θ.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Quantifying the complexity in mapping energy inputs and hydrologic state variables into land-surface fluxes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantifying the complexity in mapping energy inputs and hydrologic state variables into land-surface fluxes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantifying the complexity in mapping energy inputs and hydrologic state variables into land-surface fluxes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1490205

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.