By John C. Wyngaard (auth.), R. E. Munn (eds.)
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Extra resources for Boundary Layer Studies and Applications: A Special Issue of Boundary-Layer Meteorology in honor of Dr. Hans A. Panofsky (1917–1988)
MAHRT TABLE I Statistics for the samples obtained from each flight leg, where the conditional sampling is based on the leading principal component. Samples are defined from minima to minima in the principal component. Samples are rejected if the intervening principal component maximum is not positive or if samples result which are wider than 1 km. The scaling distance is separated into the northern (N) and southern (S) half of the samples, and represents the average distance between each point in the sample.
00r-------------------------_~-~------------------------~ - a . / I , \ '--" ......... --_.... 10 -0. 15L-----------~------~<~--~L----~~------L-----------~ -70 -35 o POSITION WITHIN COMPOSITE 35 70 (m) \~,\\'V'~A\ ~~~""'-~ ~~...... 10 -0. 15L------------L------~(~--~~---~~------~----------~ -70 o -35 POSITION WITHIN COMPOSITE 35 70 (m) y I/~.... ~~~Lx ~~)~//II/A\\\,\ ill rr;1, _~ ~y Fig. 5. Composite temperature pattern for the transition zones. Arrowheads on the abscissa depict the edges of the transition zone.
Introduction It is widely recognized that flux density measurements are the most effective way of integrating gas exchange and physiological processes taking place on a field scale (Anderson and Verma, 1986). However, such measurements must be averaged over long periods of time (Shaw and Businger, 1985) or long distances in order to obtain reproducible results (Wyngaard, 1986). For example, using a ground-based system, it is necessary to sample over at least 30 min to observe most of the low frequency contribution to CO 2 fluxes (Anderson and Verma, 1985; Ohtaki, 1985).
Boundary Layer Studies and Applications: A Special Issue of Boundary-Layer Meteorology in honor of Dr. Hans A. Panofsky (1917–1988) by John C. Wyngaard (auth.), R. E. Munn (eds.)