Influence of land cover and soil moisture on the horizontal distribution of sensible and latent heat fluxes in southeast Kansas during IHOP_2002 and CASES-97

Margaret A. LeMone*, Fei Chen, Joseph G. Alfieri, Mukul Tewari, Bart Geerts, Qun Miao, Robert L. Grossman, Richard L. Coulter

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

Analyses of daytime fair-weather aircraft and surface-flux tower data from the May-June 2002 International H2O Project (IHOP_2002) and the April-May 1997 Cooperative Atmosphere Surface Exchange Study (CASES-97) are used to document the role of vegetation, soil moisture, and terrain in determining the horizontal variability of latent heat LE and sensible heat H along a 46-km flight track in southeast Kansas. Combining the two field experiments clearly reveals the strong influence of vegetation cover, with H maxima over sparse/dormant vegetation, and H minima over green vegetation; and, to a lesser extent, LE maxima over green vegetation, and LE minima over sparse/dormant vegetation. If the small number of cases is producing the correct trend, other effects of vegetation and the impact of soil moisture emerge through examining the slope ΔxyLE/ΔxyH for the best-fit straight line for plots of time-averaged LE as a function of time-averaged H over the area. Based on the surface energy balance, H + LE = Rnet - Gsfc, where Rnet is the net radiation and Gsfc is the flux into the soil; Rnet - Gsfc ∼ constant over the area implies an approximately - 1 slope. Right after rainfall, H and LE vary too little horizontally to define a slope. After sufficient drying to produce enough horizontal variation to define a slope, a steep (∼-2) slope emerges. The slope becomes shallower and better defined with time as H and LE horizontal variability increases. Similarly, the slope becomes more negative with moister soils. In addition, the slope can change with time of day due to phase differences in H and LE. These trends are based on land surface model (LSM) runs and observations collected under nearly clear skies; the vegetation is unstressed for the days examined. LSM runs suggest terrain may also play a role, but observational support is weak.

Original languageEnglish
Pages (from-to)68-87
Number of pages20
JournalJournal of Hydrometeorology
Volume8
Issue number1
DOIs
Publication statusPublished - Feb 2007
Externally publishedYes

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