We developed a gridded daily meteorology data set consisting of precipitation, minimum temperature and maximum temperature over the Java Island, Indonesia at 0.125 x 0.125 (∼14 km) resolution spanning 30 years from 1985 – 2014. Importantly, this data set represents a marked improvement from existing gridded data sets over Java as it has much higher spatial resolution, and is derived exclusively from ground-based observations unlike other satellite or reanalysis-based products. Gridding was conducted via Inverse Distance Weighting, IDW (radius, R, of 25 km and power of influence, , of 3 as optimal parameters) restricted to only those stations including at least 3650 days (~10 years) of valid data. A gap-infilling procedure was performed prior to the gridding process. We performed cross-validation on both the gap-infilling process and gridding process. It showed that spatial percent bias for gap-infilling and gridding are ~7% and ~1% respectively, while the temporal bias are ~25% and ~16% for gap-infilling and gridding respectively. Visual inspection reveals an increasing performance of gridded precipitation from grid, basin to island scale. The data set, stored in a network common data form (NetCDF), is intended to support basin-scale and island-scale studies of short-term and long-term climate, hydrology and ecology.
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