Browsing by Subject "Saint Paul"

Now showing 1 - 3 of 3
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    Business Improvement District (BID) Feasibility Analysis: Saint Paul's West Midway Industrial Area
    (Hubert H. Humphrey School of Public Affairs, 2014-05-08) Christopherson, Kate; Holey, Laura; Huonder, Mark; Nicholas, Mike
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    Profile of 2007 Saint Paul Winter Carnival Attendees
    (University of Minnesota Tourism Center, 2007) Hinds, Nikki; Salk, Raintry; Schneider, Ingrid E.
    In 2006, the University of Minnesota Tourism Center (UMTC) and Center for Urban and Regional Affairs (CURA) were contracted to profile visitors to Saint Paul Winter Carnival. Several visitor characteristics were of interest beyond demographics, including information sources, spending habits, and experience at Saint Paul Winter Carnival. To that end, a visitor questionnaire was developed and administered to Saint Paul Winter Carnival visitors.
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    Temperature Observations of the Twin Cities Canopy-Layer Urban Heat Island
    (2024-10-10) Smoliak, Brian V; Snyder, Peter K; Twine, Tracy E; Mykleby, Phillip M; Hertel, William F; Liess, Stefan; liess@umn.edu; Liess, Stefan; Department of Soil, Water, and Climate
    Data from a dense urban meteorological network (UMN) are analyzed, revealing the spatial heterogeneity and temporal variability of the Twin Cities (Minneapolis–St. Paul, Minnesota) canopy-layer urban heat island (UHI). Data from individual sensors represent surface air temperature (SAT) across a variety of local climate zones within a 5000-km2 area and span the 3-yr period from 1 August 2011 to 1 August 2014. Irregularly spaced data are interpolated to a uniform 1-km x 1-km grid using two statistical methods: 1) kriging and 2) cokriging with impervious surface area data. The cokriged SAT field exhibits lower bias and lower RMSE than does the kriged SAT field when evaluated against an independent set of observations. Maps, time series, and statistics that are based on the cokriged field are presented to describe the spatial structure and magnitude of the Twin Cities metropolitan area (TCMA) UHI on hourly, daily, and seasonal time scales. The average diurnal variation of the TCMA UHI exhibits distinct seasonal modulation wherein the daily maximum occurs by night during summer and by day during winter. Daily variations in the UHI magnitude are linked to changes in weather patterns. Seasonal variations in the UHI magnitude are discussed in terms of land-atmosphere interactions. To the extent that they more fully resolve the spatial structure of the UHI, dense UMNs are advantageous relative to limited collections of existing urban meteorological observations. Dense UMNs are thus capable of providing valuable information for UHI monitoring and for implementing and evaluating UHI mitigation efforts.