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

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.

Authors:
ORCiD logo
  1. Baylor University
Publication Date:
DOE Contract Number:  
AC05-76RL01830
Research Org.:
Pacific Northwest National Lab (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
Land; Los Angeles; Population; Urban
OSTI Identifier:
2575229
DOI:
https://doi.org/10.57931/2575229

Citation Formats

McManamay, Ryan. HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code. United States: N. p., 2025. Web. doi:10.57931/2575229.
McManamay, Ryan. HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code. United States. doi:https://doi.org/10.57931/2575229
McManamay, Ryan. 2025. "HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code". United States. doi:https://doi.org/10.57931/2575229. https://www.osti.gov/servlets/purl/2575229. Pub date:Fri Aug 08 04:00:00 UTC 2025
@article{osti_2575229,
title = {HYBRD (High Resolution HYBrid Regional Downscaling) Model: Input data and Code},
author = {McManamay, Ryan},
abstractNote = {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.},
doi = {10.57931/2575229},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 08 04:00:00 UTC 2025},
month = {Fri Aug 08 04:00:00 UTC 2025}
}