Publications by authors named "Yesid Carvajal-Escobar"
Article Synopsis
- Understanding rainfall patterns is crucial for water management, risk management, and agriculture in regions like Southwestern Colombia.
- The study validated four techniques to identify homogeneous rainfall regions, using monthly rainfall data from Nariño, a complex area.
- Findings indicated that non-linear methods, especially principal component analysis and self-organizing maps, were most effective, revealing distinct rainfall regimes in the Andean (bimodal) and Pacific (unimodal) regions.
The Colombian Biogeographic Choco (CBC) and the La Plata Basin (LPB) are regions with high biodiversity. However, these areas are characterized by scarce climatological information, complex orography, and rain-gauge network unevenly distributed. Interpolated data from the ground station might overcome these aspects.
View Article and Find Full Text PDFThe success of many projects linked to the management and planning of water resources depends mainly on the quality of the climatic and hydrological data that is provided. Nevertheless, the missing data are frequently found in hydroclimatic variables due to measuring instrument failures, observation recording errors, meteorological extremes, and the challenges associated with accessing measurement areas. Hence, it is necessary to apply an appropriate fill of missing data before any analysis.
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