Python tools for hydroclimatic trend analysis, spatial aggregation, and climate indices.
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Updated
Jul 6, 2026 - Python
Python tools for hydroclimatic trend analysis, spatial aggregation, and climate indices.
Integración de datos SMN y NOAA mediante un modelo dimensional para el análisis del impacto del fenómeno ENSO en los extremos climáticos de La Plata. Incluye dashboard interactivo.
Análisis estadístico de series temporales de precipitación (1961-2024) mediante índices ETCCDI y modelos de regresión lineal múltiple en Python.
🌊 Analyze ENSO's impact on extreme climate indices in La Plata using integrated global and local data for better urban planning and risk management.
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