Mapping mean monthly temperatures over a coastal hilly area incorporating terrain aspect effects

Huade Guan, Xinping Zhang, Oleg Makhnin, Zhian Sun

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    14 Citations (Scopus)


    Efforts in the past two decades on air temperature mapping based on sparse monitoring networks reveal that algorithms based on multiple linear regressions with geographical and topographical parameters perform promisingly. In this study, a multiple-regression model, previously for precipitation characterization using autosearched orographic and atmospheric effects (PCASOA), is applied to analyze spatial distribution of mean monthly daily maximum and minimum temperatures (at 33 stations) in Adelaide and theMount Lofty Ranges (9000 km2), a coastal hilly area in South Australia. Terrain aspect (or slope orientation) is transformed and explicitly incorporated in the model, together with some other topographic variables. Overall, PCASOA captures 91% and 70% observed spatial variability for mean monthly maximum (Tmax) and minimum (Tmin) temperature, respectively. The regression also infers some physical processes influencing the air temperature distribution. The results indicate horizontal gradients of Tmax in the east-west and north-south directions,which can be related to the effects of dominant wind directions in the study area. The effect of terrain ruggedness on Tmax is likely related to the blockage of sea breeze in the complex terrain. Cold air drainage potential only influences Tmin during winter months in the study area. Terrain slope and aspect significantly contribute to interpreting Tmin spatial distribution and can be related to their sheltering effect fromthe dominant cool inland winds. They also contribute to interpreting Tmax spatial distribution, while the physical mechanism is not clear.

    Original languageEnglish
    Pages (from-to)233-250
    Number of pages18
    JournalJournal of Hydrometeorology
    Issue number1
    Publication statusPublished - Feb 2013


    • Australia
    • Interpolation schemes
    • Regression analysis
    • Surface temperature


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