Assessing the performance and reliability of PERSIANN-CDR satellite-based rainfall estimates over Spain: case study of rainfall Dry Spell Lengths (DSL)

Abstract:

Studying Spain’s long-term variability and changing trends in rainfall, due to its unique position in the Mediterranean basin (i.e., the latitudinal gradient from North to South and its orographic variation), can provide a valuable insight into how hydroclimatology of the region has changed.

A recently released high resolution satellite-based global daily precipitation climate dataset PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network – Climate Data Record), provided the opportunity to conduct such study. It covers the period 01/01/1983 - to date, at 0.25° resolution. In areas without a dense network of rain-gauges, the PERSIANN-CDR dataset could be useful for identifying the reliability of regional climate models (RCMs), in order to build robust RCMs ensemble for reducing the uncertainties in the climate and hydrological projections. However, before using this data set for RCM evaluation, an assessment of performance of PERSIANN-CDR dataset against in-situ observations is necessary. The high-resolution gridded daily rain-gauge dataset, named Spain02, was employed in this study.

The variable Dry Spell Lengths (DSL) considering 1 mm and 10 mm as thresholds of daily rainfall, and the time period 1988-2007 was defined for the study. A procedure for improving the consistency and homogeneity between the two datasets was applied. The assessment is based on distributional similarity and the well-known statistical tests (Smirnov-Kolmogorov of two samples and Chi-Square) are used as fitting criteria.

The results demonstrate good fit of PERSIANN-CDR over whole Spain, for threshold 10 mm/day. However, for threshold 1 mm/day PERSIANN-CDR compares well with Spain02 dataset for areas with high values of rainfall (North of Spain); while in semiarid areas (South East of Spain) there is strong overestimation of short DSLs. Overall, PERSIANN-CDR demonstrate its robustness in the simulation of DSLs for the highest thresholds.