Discovering Associations between Climatic and Oceanic Parameters to Monitor Drought in Nebraska Using Data-Mining Techniques

• Main Authors: Tadesse, Tsegaye, Wilhite, Donald A., Hayes, Michael J., Goddard, Steve
• Format: Text
• Language: unknown
• Published: DigitalCommons@University of Nebraska - Lincoln 2005
• Subjects: Climate; Earth Sciences; Environmental Indicators and Impact Assessment; Environmental Monitoring; Environmental Sciences; Hydrology; Other Earth Sciences; Water Resource Management; Pacific; Soi; North Atlantic; North Atlantic oscillation
• Online Access: https://digitalcommons.unl.edu/droughtfacpub/40; https://digitalcommons.unl.edu/context/droughtfacpub/article/1039/viewcontent/Wilhite_2005_JC_Discovering_associations.pdf

Drought is a complex natural hazard that is best characterized by multiple climatological and hydrological parameters. Improving our understanding of the relationships between these parameters is necessary to reduce the impacts of drought. Data mining is a recently developed technique that can be us...