What question did this study set out to answer?

This analysis aims to evaluate the errors introduced in small-scale climate maps due to interpolation practices and contouring methods.

Small-Scale Climate Maps: A Sensitivity Analysis of Some Common Assumptions Associated with Grid-Point Interpolation and Contouring

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Randomized trial analyzes errors in climate maps from interpolation and contouring in climate data, suggesting improvements.

This analysis aims to evaluate the errors introduced in small-scale climate maps due to interpolation practices and contouring methods.
Developed algorithms for contouring on spherical surfaces and Cartesian two-space.
Used mean annual air temperatures from 100 irregularly spaced weather stations for analysis.
Estimated temperature fields over the western half of the northern hemisphere.
Error magnitudes in air temperature fields approximated in Cartesian two-space show discrepancies of 5° to 10°C compared to spherical estimates.
Significant differences identified between interpolation methods and their impact on climate mapping accuracy.

Willmott et al. (1985) studied this question.

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