January 1, 2005International Journal of Climatology

Very high resolution interpolated climate surfaces for global land areas

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RHRobert J. HijmansUniversity of California, Davis SCSusan E. CameronThe Open University JPJuan L. ParraUniversidad de Antioquia

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Implication

Spatial modeling demonstrates high-resolution climate surfaces across global land areas, highlighting local variations obscured in coarser global datasets.

Key Points

Global interpolated climate surfaces achieve thirty arc-second resolution for monthly precipitation and temperature across terrestrial regions from 1950 to 2000.
Thin-plate smoothing spline algorithms incorporate latitude, longitude, and elevation covariates to generate continuous surfaces and quantify elevation bias.
Cross validation reveals significant local variations and highlights higher uncertainty across mountainous regions, poorly sampled terrain, and isolated islands.

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Hijmans et al. (2005) studied this question.

synapsesocial.com/papers/68fa578e2aed80fa8b601559 https://doi.org/10.1002/joc.1276

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Implication

Spatial modeling demonstrates high-resolution climate surfaces across global land areas, highlighting local variations obscured in coarser global datasets.

Very high resolution interpolated climate surfaces for global land areas

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Member takes

Implication

Key Points

Cite This Study

Very high resolution interpolated climate surfaces for global land areas

Discussion

Member takes

Implication

Key Points

Cite This Study

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