Open AccessThermal mapping: Reliability and repeatability
Author(s) -
Shao J,
Lister P J,
Hart G D,
Pearson H B
Publication year - 1996
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.5060030405
Subject(s) - variation (astronomy) , repeatability , reliability (semiconductor) , environmental science , computer science , spatial variability , process (computing) , similarity (geometry) , thermal , road surface , meteorology , statistics , geography , artificial intelligence , mathematics , materials science , power (physics) , physics , composite material , quantum mechanics , astrophysics , image (mathematics) , operating system
In winter road maintenance, accurate information as to the spatial variation in minimum road‐surface temperature is valuable for road authorities and organisations to decide where to target salting or gritting treatment. The process to record and quantify these patterns of temperature variation is called Thermal Mapping. The technique relies on the fact that the pattern of road‐surface temperature is reproduced from one night to the next similar night. This study establishes a valid statistical means of quantifying the similarity between temperature patterns captured during different Thermal Mapping surveys and is used to show that the Thermal Mapping process developed by the authors is reliable and that the pattern of temperature variation across a road network is reproduced under similar weather conditions.