Generación de productos combinados de precipitación en la cuenca Choqueyapu, Bolivia
GENERATION OF COMBINED PRECIPITATION PRODUCTS IN THE CHOQUEYAPU BASIN, BOLIVIA
DOI:
https://doi.org/10.23854/07199562.2025612.alcalaKeywords:
Hourly Precipitation, GSMaP, rain gauges, Choqueyapu basinAbstract
This study focuses in hourly precipitation dataset generation during January 2021 and May 2023, integrating local meteorological data and remote sensing. At the initial analysis stage, the satellite-based product GSMaP.v6_NRT_Gauge showed overestimation when comparing with local rain gauges. After applying the proposed methodology, the correlation coefficients improved 39% within the time series, moving from 0.46 with satellite data to 0.65 corresponding to the fifth iteration (GS product). In this sense, it was showed a better coherence among rain gauge observations y combined product GS. Moreover, it was obtained a remarkable change regarding Nash and Sutcliffe Efficiency (NSE), moving from -2 to 0.43. The determination coefficient (R²) improved from 0.21 to 0.42, considering that combined product shows spatial variability. Moreover, the Mean Absolute Error (MAE) was reduced from 0.08 to 0.03 and the RMSE from 0.37 to 0.16, decreasing average errors and deviations significantly. The applied methodology showed better results when analyzing periods with precipitation than periods without precipitation. These improvements at the indicators allow enough spatial and temporal resolution, to carry out flood analysis using hydrologic and hydrodynamic models.
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