The Impact of Surface Temperature Heterogeneity on Near-Surface Heat Transport
The Impact of Surface Temperature Heterogeneity on Near-Surface Heat Transport
复制标题
表面温度不均匀性对近地表传热的影响
DOI:
10.1007/s10546-021-00624-2
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发表时间:
2021
影响因子:
4.3
通讯作者:
Pardyjak, Eric
中科院分区:
文献类型:
--
作者:
Morrison, Travis;Calaf, Marc;Higgins, Chad W.;Drake, Stephen A.;Perelet, Alexei;Pardyjak, Eric
Experimental closure of the surface energy balance during convective periods is a long-standing problem. With experimental data from the Idealized horizontal Planar Array experiment for Quantifying Surface heterogeneity, the terms of the temperature-tendency equation are computed, with an emphasis on the total derivative. The experiment occurred at the Surface Layer Turbulence and Environmental Science Test facility at the U.S. Army Dugway Proving Ground during the summer of 2019. The experimental layout contained an array of 21 flux stations over a 1 kmgrid. Sensible heat fluxes show high spatial variability, with maximum variability occurring during convective periods. Maximum variability in the vertical heat flux is 50–80 W m(median variability of 40%), while in the horizontal flux, it is 200–500 W m(median variability of 48% for the streamwise and 40% for the spanwise fluxes). Ensemble averages computed during convective afternoon periods show large magnitudes of horizontal advection (48 W mor 172 K h) and vertical flux divergence (13 W mor 47 K h). Probability density functions of the total derivative from convective cases show mean volumetric heating rates of 43 W m(154 K h) compared to 13 W m(47 K h) on non-convective days. A conceptual model based on persistent mean flow structures from local-surface-temperature heterogeneities may explain the observed advection. The model describes the difference between locally-driven advection and advection driven by larger-scale forcings. Of the cases examined, 83% with streamwise and 81% with spanwise advection during unstable periods are classified as locally driven by nearby surface thermal heterogeneities.
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DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
G. Iungo;Behzad Najafi;M. Puccioni
通讯作者:
M. Puccioni
DOI:
--
发表时间:
2006
期刊:
Quarterly Journal of Royal Meteorological Society 132
影响因子:
--
作者:
Reina Nakamura;L.Mahrt
通讯作者:
L.Mahrt
影响因子:
4.3
作者:
G. Katul;C. Hsieh;D. Bowling;K. Clark;N. Shurpali;A. Turnipseed;J. Albertson;K. Tu;D. Hollinger;Bob Evans;B. Offerle;D. E. Anderson;D. Ellsworth;C. Vogel;R. Oren
通讯作者:
R. Oren
影响因子:
4.3
作者:
Uta Moderow;C. Feigenwinter;C. Bernhofer
通讯作者:
C. Bernhofer
影响因子:
4.3
作者:
Kanda, M;Inagaki, A;Watanabe, T
通讯作者:
Watanabe, T