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Visualization of Local Climates Based on Geospatial Climatology  

Yun Jin Il (경희대학교 생명과학부/생명자원과학연구원)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.6, no.4, 2004 , pp. 272-289 More about this Journal
Abstract
The spatial resolution of local weather and climate information for agronomic practices exceeds the current weather service scale. To supplement the insufficient spatial resolution of official forecasts and observations, gridded climate data are frequently generated. Most ecological models can be run using gridded climate data to produce ecosystem responses at landscape scales. In this lecture, state of the art techniques derived from geospatial climatology, which can generate gridded climate data by spatially interpolating point observations at synoptic weather stations, will be introduced. Removal of the urban effects embedded in the interpolated surfaces of daily minimum temperature, incorporation of local geographic potential for cold air accumulation into the minimum temperature interpolation scheme, and solar irradiance correction for daytime hourly temperature estimation are presented. Some experiences obtained from their application to real landscapes will be described.
Keywords
Local climate; Spatial interpolation; Geospatial climatology; Topography; Cold air drainage; Thermal belt;
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