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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Pacific Islands CASC > FY 2012 Projects > Developing High-Resolution Rainfall Change Scenarios for the Hawaiian Islands > Approved Products ( Show all descendants )

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__National and Regional Climate Adaptation Science Centers
___Pacific Islands CASC
____FY 2012 Projects
_____Developing High-Resolution Rainfall Change Scenarios for the Hawaiian Islands
______Approved Products
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Almost all daily rainfall time series contain gaps in the instrumental record. Various methods can be used to fill in missing data using observations at neighboring sites (predictor stations). In this study, five computationally simple gap-filling approaches—normal ratio (NR), linear regression (LR), inverse distance weighting (ID), quantile mapping (QM), and single best estimator (BE)—are evaluated to 1) determine the optimal method for gap filling daily rainfall in Hawaii, 2) quantify the error associated with filling gaps of various size, and 3) determine the value of gap filling prior to spatial interpolation. Results show that the correlation between a target station and a predictor station is more important...
Categories: Publication; Types: Citation
Abstract (from AMS100): Spatially continuous data products are essential for a number of applications including climate and hydrologic modeling, weather prediction, and water resource management. In this work, a distance-weighted interpolation method used to map daily rainfall and temperature in Hawaii is described and assessed. New high-resolution (250 m) maps were developed for daily rainfall and daily maximum (Tmax) and minimum (Tmin) near-surface air temperature for the period 1990–2014. Maps were produced using climatologically aided interpolation, in which station anomalies were interpolated using an optimized inverse distance weighting approach and then combined with long-term means to produce daily gridded...