TY - JOUR
T1 - Effects of soil moisture aggregation on surface evaporative fluxes
AU - Wood, Eric F.
N1 - Funding Information:
I would like to thank Mark Zion and Christa Peters-Lidard for their thoughtful inputs into the research questions posed in the paper. Mark Zion’s help in checking the results of Section 3.3 especially appreciated. The research was supported in part from NASA grant NAS531719 and NAG 5-1628, and NOAA grant NA36GPO419. This research support is gratefully acknowledged.
PY - 1997/3/15
Y1 - 1997/3/15
N2 - The effects of small-scale heterogeneity in land surface characteristics on the large-scale fluxes of water and energy in the land-atmosphere system has become a central focus of many climatology research experiments. The acquisition of high resolution land surface data through remote sensing and intensive land-climatology field experiments (like HAPEX, FIFE, and BOREAS) has provided data to investigate the interactions between microscale land-atmosphere interactions and macroscale models. To determine the effect of small scale heterogeneities, the spatially averaged evaporative fraction is analytically derived for spatially variable soil moisture and soil-atmospheric controls on evaporation at low soil moisture. This average evaporative fraction is compared with the evaporative fraction determined using the spatially averaged soil moisture, as if from a lumped, or aggregated, land surface model. Results show that the lumped-model based evaporation will over estimate evaporation during periods of low atmospheric demands (early morning/late afternoon, Winter periods, etc.) and under estimate evaporation during periods of high demand (midday Summer periods.). The accuracy of using 'effective' parameters in lumped macroscale models depends on the variability of soil moisture and the sensitivity of the soil-vegetation system to low soil moisture.
AB - The effects of small-scale heterogeneity in land surface characteristics on the large-scale fluxes of water and energy in the land-atmosphere system has become a central focus of many climatology research experiments. The acquisition of high resolution land surface data through remote sensing and intensive land-climatology field experiments (like HAPEX, FIFE, and BOREAS) has provided data to investigate the interactions between microscale land-atmosphere interactions and macroscale models. To determine the effect of small scale heterogeneities, the spatially averaged evaporative fraction is analytically derived for spatially variable soil moisture and soil-atmospheric controls on evaporation at low soil moisture. This average evaporative fraction is compared with the evaporative fraction determined using the spatially averaged soil moisture, as if from a lumped, or aggregated, land surface model. Results show that the lumped-model based evaporation will over estimate evaporation during periods of low atmospheric demands (early morning/late afternoon, Winter periods, etc.) and under estimate evaporation during periods of high demand (midday Summer periods.). The accuracy of using 'effective' parameters in lumped macroscale models depends on the variability of soil moisture and the sensitivity of the soil-vegetation system to low soil moisture.
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U2 - 10.1016/S0022-1694(96)03135-6
DO - 10.1016/S0022-1694(96)03135-6
M3 - Article
AN - SCOPUS:0030615728
SN - 0022-1694
VL - 190
SP - 397
EP - 412
JO - Journal of Hydrology
JF - Journal of Hydrology
IS - 3-4
ER -