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DOE OSTI · 2575229

HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code

McManamay, Ryan [Baylor University] (ORCID:0000000255513140)
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Abstract

The HYBRD (HYBrid Regional Downscaling) model is a high-resolution urban land downscaling model that can be used to downscale intermediate urban land use and land cover (LULC) products into a high-resolution (30-meters). HYBRD uses a sequential hybrid process, combining statistical models with cellular-automata-based spatial algorithms. This repository contains all the necessary model code and inputs needed to successfully run HYBRD for Los Angeles, California. The repo also contains example outputs of each model step, except the final simulated raster outputs. Examples of simulated raster outputs for multiple scenarios for Los Angeles are available at DOI: 10.57931/2575233. Please refer to Related Works below.

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McManamay, Ryan [Baylor University] (ORCID:0000000255513140). 2025-08-08. HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code. https://doi.org/10.57931/2575229

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