Simulation Data From Aistrup et al. Sustaining the Ogallala Aquifer Manuscript
dataset
posted on 2023-11-30, 08:15authored byJoseph A. Aistrup, Tom Bulatewicz, Laszlo J. Kulcsar, Jeffrey M. Peterson, Stephen M. Welch, David R. Steward
These data are the simulation results described in the article by Aistrup et al., "Sustaining the Ogallala Aquifer: From the Wells to People, A Holistic CNH Model," accepted for publication in Hydrology and Earth System Sciences (prepublication version at https://doi.org/10.5194/hess-2017-300). The data are being publicly shared in accordance with journal policy.
Twelve counties in southwestern Kansas spanning Southwest Kansas Groundwater Management District #3
ISO Topic Category
environment
farming
National Agricultural Library Thesaurus terms
aquifers; statistics; politics; computer science; agricultural economics; sociology; education; agronomy; civil engineering; data collection; National Science Foundation; Agricultural Research Service; econometric models; hydrologic models; calibration; arid lands; crop yield; alfalfa; irrigation; water utilization; income; crops; industry; irrigated farming; value added; groundwater; irrigation water; issues and policy
Pending citation
No
Public Access Level
Public
Preferred dataset citation
Aistrup, Joseph A.; Bulatewicz, Tom; Kulcsar, Laszlo J.; Peterson, Jeffrey M.; Welch, Stephen M.; Steward, David R.. (2017). Simulation Data From Aistrup et al. Sustaining the Ogallala Aquifer Manuscript. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/D6S96X.