473Recommending Environmental Big Data
extracted features attributes, and scientic meaningfulness, to form several variable
subgroups, that is, SILO rainfall (mm/day), SILO rainfall rate (mm/hr.), AWAP rainfall
(mm/day), CosmOz rainfall (mm/day), MODIS post real-time TRMM Multi-Satellite
Precipitation Analysis (TMPA) product (mm/day). Combination of this kind formed
a pool of similar variables, which should be able to cross-validated or complemented
each other in case of missing values from a particular time series within that pool.
The complementary method identied the missing value segments of a time series
and replaced those segments with an average segment based on available other time
series in the same pool. This was done to model missing ...