What question did this study set out to answer?

Assess a climatologically aided mapping method integrating daily weather station observations with 30-year climate normals to estimate daily precipitation and temperature extremes across heterogeneous terrain.

October 1, 2005Journal of Applied Meteorology

Climatologically Aided Mapping of Daily Precipitation and Temperature

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Authors

RHRichard D. HunterUniversity of North Carolina at Charlotte RMRoss K. MeentemeyerUniversity of North Carolina at Charlotte

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Implication

Validation study demonstrates improved spatial mapping accuracy for daily precipitation and temperature using climatological adjustments, highlighting robust environmental modeling across complex...

Key Points

Assess a climatologically aided mapping method integrating daily weather station observations with 30-year climate normals to estimate daily precipitation and temperature extremes across heterogeneous terrain.
Interpolated daily base-station observations onto ~2-km grids using ordinary kriging, subsequently adjusting estimates with 30-year PRISM climate maps incorporating elevation, lapse rates, and coastal proximity.
Evaluated performance against an interpolation-only baseline using an independent validation dataset across California spanning a 24-year period.
Predicted daily precipitation achieved a mean absolute error (MAE) of ±2.5 mm with a bias of +0.01 mm, yielding substantially lower errors than the interpolation-only method.
Predicted daily minimum and maximum temperatures yielded MAEs of ±1.7°C and ±2.0°C, with corresponding biases of −0.41°C and −0.38°C.
Seasonal variation in MAE was observed across all metrics, but error rates remained stable despite daily fluctuations in available weather stations.

Cite This Study

Hunter et al. (2005) studied this question.

synapsesocial.com/papers/6a178d59aeefdf6d9c12afcc https://doi.org/10.1175/jam2295.1

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Implication

Validation study demonstrates improved spatial mapping accuracy for daily precipitation and temperature using climatological adjustments, highlighting robust environmental modeling across complex...