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Theoretical and Applied Climatology

, Volume 132, Issue 1–2, pp 1–13 | Cite as

Evaluation of a simple, point-scale hydrologic model in simulating soil moisture using the Delaware environmental observing system

  • David R. Legates
  • Katherine T. Junghenn
Original Paper

Abstract

Many local weather station networks that measure a number of meteorological variables (i.e., mesonetworks) have recently been established, with soil moisture occasionally being part of the suite of measured variables. These mesonetworks provide data from which detailed estimates of various hydrological parameters, such as precipitation and reference evapotranspiration, can be made which, when coupled with simple surface characteristics available from soil surveys, can be used to obtain estimates of soil moisture. The question is Can meteorological data be used with a simple hydrologic model to estimate accurately daily soil moisture at a mesonetwork site? Using a state-of-the-art mesonetwork that also includes soil moisture measurements across the US State of Delaware, the efficacy of a simple, modified Thornthwaite/Mather-based daily water balance model based on these mesonetwork observations to estimate site-specific soil moisture is determined. Results suggest that the model works reasonably well for most well-drained sites and provides good qualitative estimates of measured soil moisture, often near the accuracy of the soil moisture instrumentation. The model exhibits particular trouble in that it cannot properly simulate the slow drainage that occurs in poorly drained soils after heavy rains and interception loss, resulting from grass not being short cropped as expected also adversely affects the simulation. However, the model could be tuned to accommodate some non-standard siting characteristics.

Notes

Acknowledgements

Funding for Ms. Junghenn was provided by National Science Foundation EPSCoR Grant No. IIA-1301765 and the State of Delaware. The authors wish to thank Ms. Linden Wolf for her help with the DEOS rainfall data, Mr. Steven Noyes for his assistance in developing a computer program to validate the rainfall data, and Dr. Gregory J. McCabe Jr. of the US Geological Survey and an anonymous reviewer for their comments on earlier versions of the manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

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Copyright information

© Springer-Verlag Wien 2017

Authors and Affiliations

  1. 1.College of Earth, Ocean, and EnvironmentUniversity of DelawareNewarkUSA
  2. 2.Environmental Science ProgramUniversity of DelawareNewarkUSA
  3. 3.Department of Atmospheric and Oceanic ScienceUniversity of MarylandCollege ParkUSA

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