edu.ucar.opensky::articles:22420 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:38:41.308100 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d75b05jc https://doi.org/10.5065/D6SB44JV https Related Dataset #1 Ensemble gridded (1 km) daily rainfall and temperature for the Hawaiian Islands (1990-2014) https://doi.org/10.3334/ORNLDAAC/1219 https Related Dataset #2 Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2 High-resolution gridded daily rainfall and temperature for the Hawaiian Islands (1990–2014) 2019-03-01T00:00:00Z publication https://n2t.org/ark:/85065/d75b05jc https://doi.org/10.1175/JHM-D-18-0112.1 Longman, R. J. author Frazier, A. G. author Newman, Andrew J. author Giambelluca, T. W. author Schanzenbach, D. author Kagawa-Viviani, A. author Needham, H. author Arnold, J. R. author Clark, Martyn P. author UCAR/NCAR - Library publisher 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 (T-max) and minimum (T-min) 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 estimates. Leave-one-out cross validation was performed to assess the quality of the final daily grids. The median absolute prediction error for rainfall was 0.1 mm with an average overprediction (+0.6 mm) on days when total rainfall was less than 1 mm. On days with total rainfall greater than 1 mm, median absolute prediction errors were 2 mm and rainfall was typically underpredicted above the 10-mm threshold. For daily temperature, median absolute prediction errors were 3.1 degrees and 2.8 degrees C for T-max and T-min, respectively. On average, this method overpredicted T-max (+1.1 degrees C) and T-min (+1.5 degrees C), and errors varied considerably among stations. Errors for all variables exhibited significant seasonal variations. However, the annual range of errors was small. The methods presented here provide an effective approach for mapping daily weather fields in a topographically diverse region and improve on previous products in their spatial resolution, time period of coverage, and use of data. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2019 American Meteorological Society. None eng geoscientificInformation