Implications of rainfall temporal resolution for soil-moisture and transpiration modeling |
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| Authors: | Michael J Puma Ignacio Rodriguez-Iturbe Michael A Celia Andrew J Guswa |
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| Institution: | (1) Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA;(2) Picker Engineering Program, Smith College, 51 College Lane, Northampton, MA 01060, USA |
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| Abstract: | Dimensionless groups of parameters characterizing an ecosystem are valuable indicators for the a priori assessment of the
effect of rainfall data resolution on predictions of soil moisture and transpiration. Knowledge of these dimensionless groups
enables identification of appropriate levels of rainfall data resolution, when using historical rainfall directly or when
using it to derive rainfall model parameters for use in models of soil–plant–climate systems. Detailed simulation studies
of the soil, plant, and climate systems in Colorado and Texas, highly resolved in time and vertical space, show that historical
rainfall data resolved at the daily level allow accurate prediction of soil-moisture and transpiration dynamics for smaller
time resolutions. These results support inferences based on the dimensionless groups. Furthermore, no significant improvement
in the prediction of soil-moisture and transpiration dynamics is attained, when representing rainfall through a more complex
Neyman–Scott model rather than the simple rectangular pulses Poisson model. |
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| Keywords: | Vadose zone Soil moisture Transpiration Rainfall data Rainfall modeling Neyman– Scott model Soil– plant– atmosphere model |
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