Quality control and reconstruction of daily precipitation gauge-based time series for Cuba from 1961 to 2022.
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Abstract
This work describes the development of a daily rain-gauge data set for Cuba from 1961 to 2022, using 2871 stations provided by the National Institute of Hydraulic Resources. An exhaustive quality control of spatial coherence was applied to all observations and a reconstruction process was performed to fill the missing values in the stations time series. The quality control allowed to detect 0.13% of repeated data and about 14% of suspicious values. The estimates used for the time series reconstruction had a prediction accuracy of dry and wet days of 97.4% and 92.5%, respectively, while in the comparive estimation of the amount of precipitation, the values of the KGE index were higher than 0.7 in 86% of the series analyzed. To demonstrate the usefulness of the reconstructed data, a trend analysis of the number of consecutive dry days and the proportion of annual precipitation due to days with rainfall above the 95th percentile extreme indicators was performed. The results obtained suggest that the trend of increasing both indices in the eastern region of Cuba is producing a more extreme rainfall regime in that zone. The station data product generated is unique and critical for the development of various research and applications.
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