Open AccessFine-Resolved, Near-Coastal Spatiotemporal Variation of Temperature in Response to Insolation
Author(s) -
Nikki Vercauteren,
Georgia Destouni,
C. Johan Dahlberg,
Kristoffer Hylander
Publication year - 2013
Publication title -
journal of applied meteorology and climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.079
H-Index - 134
eISSN - 1558-8432
pISSN - 1558-8424
DOI - 10.1175/jamc-d-12-0115.1
Subject(s) - environmental science , latitude , elevation (ballistics) , climatology , lag , atmospheric sciences , insolation , spatial variability , sea surface temperature , diurnal temperature variation , geology , geodesy , computer network , statistics , geometry , mathematics , computer science
This study uses GIS-based modeling of incoming solar radiation to quantify fine-resolved spatiotemporal responses of monthly average temperature, and diurnal temperature variation, at different times and locations within a field study area located on the eastern coast of Sweden. Near-surface temperatures are measured by a network of temperature sensors during the spring and summer of 2011 and then used as the basis for model development and testing. The modeling of finescale spatiotemporal variation considers topography, distance from the sea, and observed variations in atmospheric conditions, accounting for site latitude, elevation, surface orientation, daily and seasonal shifts in sun angle, and effects of shadows from surrounding topography. The authors find a lag time between insolation and subsequent temperature response that follows an exponential decay from coastal to inland locations. They further develop a linear regression model that accounts for this lag time in quantifying fine-resolved spatiotemporal temperature evolution. This model applies in the considered growing season for spatial distribution across the studied near-coastal landscape.