A statistical approach to surface renewal: The virtual chamber concept

Details

• Journal Title:
  Agrosystems, Geosciences, & Environment
• Personal Author:
  Hicks, Bruce B. ; Lichiheb, Nebila ; O'Dell, Deb. L. ; Oetting, Joel N. ; Eash, Neal S. ; Heuer, Mark ; Myles, LaToya
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; ARL (Air Resources Laboratory)
• Description:
  In the stable conditions prevailing at night, concentrations of emitted gases (e.g., radon [Rn], carbon dioxide [CO2], methane [CH4], ammonia [NH3], and nitrous oxide [N2O]) build up at the surface, with intermittent interruptions due to the passage of packets of turbulence. The applicability of conventional experimental methods is then questionable. Here, a statistical approach is proposed, in which micrometeorological field data are used to replicate the likely characteristics of a chamber experiment, yielding estimates of surface fluxes at the surface itself with reduced requirement for adequate fetch. Application of the virtual chamber methodology to two recent field studies is explored: (a) a study of nocturnal CO2 emission from a farmland area in Ohio in 2015; and (b) an investigation of NH3 effluxes from a crop previously treated with urea ammonium nitrate (UAN) in Illinois in 2014. For both datasets, the virtual chamber approach yields results in general agreement with eddy covariance (EC) data.
• Keywords:
  Gases Measurement Statistics
• Source:
  Agrosyst Geosci Environ. 2021; 4:e20141.
• DOI:
  https://doi.org/10.1002/agg2.20141
• Document Type:
  Journal Article
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:46b364ad58a6a3a2f8a7c6667ca7b945846a47b856b8093a2d0dffeee9437235
• Download URL:
  https://repository.library.noaa.gov/view/noaa/29180/noaa_29180_DS1.pdf
• File Type:
  [PDF - 1.40 MB ]