2014
DOI: 10.1016/j.envsoft.2014.02.017
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A distributed data component for the Open Modeling Interface

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Cited by 8 publications
(5 citation statements)
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“…The cost of irrigation water was calculated separately based on the energy costs from pumping lifts (Rogers and Alam, 1999). Details on the model development and calibration methods are in Clark (2009), Bulatewicz (2014), and Armoa (2015).…”
Section: Crop Choice Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The cost of irrigation water was calculated separately based on the energy costs from pumping lifts (Rogers and Alam, 1999). Details on the model development and calibration methods are in Clark (2009), Bulatewicz (2014), and Armoa (2015).…”
Section: Crop Choice Modelmentioning
confidence: 99%
“…(2) dry matter production and partitioning to plant tissues resulting in growth; and 3 We previously calibrated the model for use in western Kansas (Bulatewicz et al, 2009) and further refined the parameters to support non-irrigated cropping for this study. The model component, developed in an earlier effort (Bulatewicz et al, 2014) and implemented using the Simple Model Wrapper (Castronova and Goodall, 2010), has an embedded set of simulated output data from EPIC collected by executing the model for all combinations of the relevant inputs (soil, crop, management, weather).…”
Section: Crop Production Modelmentioning
confidence: 99%
“…The cost of irrigation water was calculated separately based on the energy costs from pumping lifts (Rogers and Alam, 1999). Details on the model development and calibration methods are in Clark (2009), Bulatewicz et al (2014), and Garay Armoa (2015).…”
Section: Crop Choice Modelmentioning
confidence: 99%
“…The model component, developed in an earlier effort (Bulatewicz et al, 2014) and implemented using the simple model wrapper (Castronova and Goodall, 2010), has an embedded set of simulated output data from EPIC collected by executing the model for all combinations of the relevant inputs (soil, crop, management, weather). The component operates over a set of (independent) polygons of variable size, accepting inputs for soil type, weather station, and crop and providing outputs for yield and water use.…”
Section: Crop Production Modelmentioning
confidence: 99%
“…When these issues are considered in sum, the increasing observational capability of satellites will not have an equivalent impact on increasing societal applications until creative and cost-effective solutions are devised to improve the utility of satellite data for decision makers (Hossain, 2015, Bulatewicz, 2014). …”
Section: Limitation Of Satellite Observationsmentioning
confidence: 99%