Downscaling for Rainfall Prediction in the Aburrá River Valley and its Supplying Watersheds in Antioquia (Colombia) Using Non-Homogeneous Hidden Markov Models

Downscaling for Rainfall Prediction in the Aburrá River Valley and its Supplying Watersheds in Antioquia (Colombia) Using Non-Homogeneous Hidden Markov Models

One of the main issues in projecting climate change scenarios is the coarse scale of global circulation model products.This work employs the statistical downscaling methodology to obtain station-level precipitation series for three climate change scenarios in the region of the Aburrá River and its...

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Bibliographic Details
Main Authors: Diego Felipe Osorio Giraldo, Luis Fernando Carvajal Serna, Juli´án David Rojo Hernández
Format: Article
Language:English
Published: Universidad Distrital Francisco José de Caldas 2025-08-01
Series:Revista Científica
Subjects:
climate change scenarios
downscaling
non-homogenous hidden Markov models
global circulation models
Online Access:https://revistas.udistrital.edu.co/index.php/revcie/article/view/22448
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