Statistics – Computation
Scientific paper
Feb 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995bolme..73..105k&link_type=abstract
Boundary-Layer Meteorology, Volume 73, Issue 1-2, pp. 105-124
Statistics
Computation
2
Scientific paper
Optical remote sensing data collected during the Monsoon '90 experiment in the Walnut Gulch Experimental Watershed in southern Arizona were used to estimate basin-scale surface temperature, net radiation ( R n) and soil heat flux ( G). These were combined with several atmospheric boundary-layer (ABL) models to allow computation of basin-scale surface fluxes of sensible ( H) and latent heat ( LE). The calculated fluxes were compared to averages from a network of surface flux stations. One ABL model calculated H using a bulk similarity approach for wind and temperature with remotely sensed surface temperature as the lower boundary condition. With basin-scale estimates of R n and G, LE was solved as a residual. The other ABL model applied atmospheric profiles from a series of soundings in the conservation equations of temperature and humidity in the mixed layer to compute H and LE directly. By combining these H values with R n and G, calculation of LE by residual also was performed. The ABL-derived H values differed from the averages from the surface network by roughly 20 and 30% for the bulk similarity and conservation approaches, respectively. For LE, these same differences were around 10 and 70%. The disparity was reduced to nearly 30% for the conservation approach when LE was solved as a residual. Days with significant spatial variation in surface soil moisture and/or cloud cover were associated with most of the disagreement between the ABL-derived and surface-based values. This was particularly true for conservation estimates of LE. The bulk similarity method appeared less sensitive non-ideal environmental conditions. This may in part be due to the use of remotely sensed information, which provided a lower boundary value of surface temperature and estimates of R n and G over the study area, thereby allowing for residual calculations of LE. Such information clearly has utility for assessing the surface energy and water balance at basin scale.
Hipps Lawrence E.
Humes K. S.
Kustas William P.
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