TY - GEN
T1 - Uncertainty, calibration and validation of the Mississippi Irrigation Scheduling Tool model
AU - Prabhu, R.
AU - Lee, N.
AU - Wadsworth, M. C.
AU - Sassenrath, G. F.
AU - Schmidt, A. M.
AU - Crumpton, J.
AU - Rice, B.
AU - Van Riessen, H.
AU - Thornton, R.
AU - Pote, J.
AU - Wax, C.
PY - 2013
Y1 - 2013
N2 - The current work presents the uncertainty analysis and its results of the Mississippi Irrigation Scheduling Tool (MIST) model, showing the margin of error (uncertainty) of the irrigation advice obtained through the web-based application. The basis for the verification and validation of the model is also given. The MIST calculates the daily soil water balance in a crop field from daily weather measurements, irrigation, and rainfall, taking into account crop type, planting date, soil type, tillage, and other field-specific information. The MIST water balance calculations were validated using the local weather data that consisted of a few days of rain, and significant changes in the solar radiation, relative humidity and wind speed. The final water balance results showed values within acceptable ranges and comparable to in situ measurements of soil moisture. The final relative uncertainty in the water balance value was around 9%, which is in the normal range of the margin of error. The current MIST web-based application and uncertainty quantification have been preliminarily verified and validated. Further, the sensitivity analysis of the model reveal that net radiation on the crop surface, temperature and net evapotranspiration play a role in the evapotranspiration of water, specifically on the day of rainfall and the following day.
AB - The current work presents the uncertainty analysis and its results of the Mississippi Irrigation Scheduling Tool (MIST) model, showing the margin of error (uncertainty) of the irrigation advice obtained through the web-based application. The basis for the verification and validation of the model is also given. The MIST calculates the daily soil water balance in a crop field from daily weather measurements, irrigation, and rainfall, taking into account crop type, planting date, soil type, tillage, and other field-specific information. The MIST water balance calculations were validated using the local weather data that consisted of a few days of rain, and significant changes in the solar radiation, relative humidity and wind speed. The final water balance results showed values within acceptable ranges and comparable to in situ measurements of soil moisture. The final relative uncertainty in the water balance value was around 9%, which is in the normal range of the margin of error. The current MIST web-based application and uncertainty quantification have been preliminarily verified and validated. Further, the sensitivity analysis of the model reveal that net radiation on the crop surface, temperature and net evapotranspiration play a role in the evapotranspiration of water, specifically on the day of rainfall and the following day.
KW - Irrigation schedule modeling
KW - Uncertainty analysis
KW - Water balance
KW - Web-Based application
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M3 - Conference contribution
AN - SCOPUS:84881636485
SN - 9781627486651
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
SP - 4269
EP - 4278
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2013, ASABE 2013
PB - American Society of Agricultural and Biological Engineers
T2 - American Society of Agricultural and Biological Engineers Annual International Meeting 2013
Y2 - 21 July 2013 through 24 July 2013
ER -