TY - JOUR
T1 - The role of surface energy fluxes in determining mixing layer heights
AU - Beamesderfer, Eric R.
AU - Biraud, Sebastien C.
AU - Brunsell, Nathaniel A.
AU - Friedl, Mark A.
AU - Helbig, Manuel
AU - Hollinger, David Y.
AU - Milliman, Thomas
AU - Rahn, David A.
AU - Scott, Russell L.
AU - Stoy, Paul C.
AU - Diehl, Jen L.
AU - Richardson, Andrew D.
N1 - Publisher Copyright:
© 2023
PY - 2023/11/15
Y1 - 2023/11/15
N2 - The atmospheric mixing layer height (MLH) is a critical variable for understanding and constraining ecosystem and climate dynamics. Past MLH estimation efforts have largely relied on data with low temporal (radiosondes) or spatial (reanalysis) resolutions. This study is unique in that it utilized continuous point-based ceilometer- and radiosonde-derived measurements of MLH at surface flux tower sites to identify the surface influence on MLH dynamics. We found a strong correlation (R2 = 0.73-0.91) between radiosonde MLH and ceilometer MLH at two sites with co-located observations. Seasonally, mean MLH was the highest at all sites during the summer, while the highest annual mean MLH was found at the warm and dry sites, dominated by high sensible heat fluxes. At daily time scales, surface fluxes of sensible heat, latent heat, and vapor pressure deficit had the largest influence on afternoon MLH. However, at best, the identified forcing variables and surface fluxes only accounted for ∼38-65% of the variability in MLH under all sky conditions, and ∼53-76% of the variability under clear skies. These results highlight the difficulty in using single-point observations to explain MLH dynamics but should encourage the use of ceilometers or similar atmospheric measurements at surface flux sites in future studies.
AB - The atmospheric mixing layer height (MLH) is a critical variable for understanding and constraining ecosystem and climate dynamics. Past MLH estimation efforts have largely relied on data with low temporal (radiosondes) or spatial (reanalysis) resolutions. This study is unique in that it utilized continuous point-based ceilometer- and radiosonde-derived measurements of MLH at surface flux tower sites to identify the surface influence on MLH dynamics. We found a strong correlation (R2 = 0.73-0.91) between radiosonde MLH and ceilometer MLH at two sites with co-located observations. Seasonally, mean MLH was the highest at all sites during the summer, while the highest annual mean MLH was found at the warm and dry sites, dominated by high sensible heat fluxes. At daily time scales, surface fluxes of sensible heat, latent heat, and vapor pressure deficit had the largest influence on afternoon MLH. However, at best, the identified forcing variables and surface fluxes only accounted for ∼38-65% of the variability in MLH under all sky conditions, and ∼53-76% of the variability under clear skies. These results highlight the difficulty in using single-point observations to explain MLH dynamics but should encourage the use of ceilometers or similar atmospheric measurements at surface flux sites in future studies.
KW - AmeriFlux
KW - Boundary layer height
KW - Eddy-covariance
KW - Land-atmosphere interactions
KW - Phenology
KW - Surface energy budget
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U2 - 10.1016/j.agrformet.2023.109687
DO - 10.1016/j.agrformet.2023.109687
M3 - Article
AN - SCOPUS:85171168158
SN - 0168-1923
VL - 342
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
M1 - 109687
ER -