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- W2787091567 abstract "Global climate models and numerical weather prediction models are divided into horizontal grid cells that range in size from a few kilometers to 100 km (e.g., Collins et al. 2006; Hunke et al. 2010; Bromwich et al. 2009; Tastula et al. 2012). The working assumption in such models is that atmospheric variables have the same value over an entire grid cell. For example, the 2-meter air temperature is taken to be the same value over a climate model grid cell that may be 100 km on a side. We have data from the experiment to study the Surface Heat Budget of the Arctic Ocean (SHEBA; Uttal et al. 2002) to assess how appropriate this assumption of grid cell uniformity is over Arctic sea ice. During the year-long SHEBA deployment (October 1997 to October 1998), the Atmospheric Surface Flux Group (ASFG; Andreas et al. 1999; Persson et al. 2002) maintained five sites with separations from one another of up to 12 km. By correlating simultaneous data between pairs of sites, we can evaluate the spatial autocorrelation function and, thereby, see how quickly various near-surface atmospheric variables lose correlation with increasing separation. The variables that the five ASFG SHEBA sites measured include near-surface barometric pressure, wind speed, direction, air temperature, and relative humidity; surface temperature; the four broadband radiation components, incoming and outgoing longwave and shortwave radiation; and the turbulent surface fluxes of momentum and sensible heat. For each site, we were also able to run the bulk flux algorithm that Andreas et al. (2010a, 2010b) developed to compute the surface" @default.
- W2787091567 created "2018-02-23" @default.
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- W2787091567 date "2013-04-30" @default.
- W2787091567 modified "2023-09-22" @default.
- W2787091567 title "Spatial Correlation of Surface-Level Variables over Arctic Sea Ice" @default.
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