Asset Details
Do you wish to reserve the book?
Intercomparison of sensible and latent heat flux measurements from combined eddy covariance, energy balance, and Bowen ratio methods above a grassland prairie
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Intercomparison of sensible and latent heat flux measurements from combined eddy covariance, energy balance, and Bowen ratio methods above a grassland prairie
Do you wish to request the book?
Intercomparison of sensible and latent heat flux measurements from combined eddy covariance, energy balance, and Bowen ratio methods above a grassland prairie
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Intercomparison of sensible and latent heat flux measurements from combined eddy covariance, energy balance, and Bowen ratio methods above a grassland prairie
2024
Overview
We present a comparison of four different methods of measuring sensible (H) and latent (LE) heat fluxes for a year over a mixed grass prairie ecosystem in the Nebraska SandHills [eddy covariance (EC), energy balance/Bowen ratio (EBBR), residual energy (RES), modified Bowen ratio (MBR) methods]. Additionally, we developed a set of quality control criteria for each method and present a simplification to the traditional EBBR setup. Using EC as reference, all methods yielded similar estimates of yearly H (regression slopes (m) ~ 2% from unity; H
EC
> H
EBBR
, H
RES
, and H
MBR
). For yearly LE, EBBR and RES yielded similar estimates with EC (m ~ 2% from unity; LE
EC
< LE
EBBR
and LE
RES
), while a larger bias was found from MBR (m ~ 8% from unity; LE
EC
> LE
MBR
). At shorter time scales (~ hourly), moderate scatter was found about linear regression fits for H between EBBR and EC (R
2
= 0.81), with smaller scatter between RES and MBR, and EC (R
2
= 0.91). For LE, smaller scatter was also measured between EC, and EBBR and RES (R
2
= 0.89 and 0.87, respectively), with the larger scatter between EC and MBR (R
2
= 0.65). This suggests methods other than EC may be well suited to longer-term applications (≥ yearly), but have larger uncertainty on individual measurements.
