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W2W: A Python package that injects WUDAPT’s LocalClimate Zone information in WRF

Matthias Demuzere, Daniel Argüeso, Andrea Zonato, Jonas Kittner

2022The Journal of Open Source Software79 citationsDOIOpen Access PDF

Abstract

The Python-based WUDAPT-to-WRF (W2W) package is developed to translate Local Climate Zone (LCZ) maps into urban canopy parameters readable by WRF, the community "Weather Research and Forecasting" model It is the successor of the Fortranbased W2W package developed by Some important changes include direct manipulation of the geogrid files without the creation of temporary files, and the use of average LCZ-based urban morphological parameters instead of assigning them to the modal LCZ class. This development of this package is in line with the objectives of WUDAPT, the World Urban Database and Access Portals Tools community project, that aims to 1) acquire and make accessible coherent and consistent information on the form and function of urban morphology relevant to climate weather and environmental studies, and 2) provide tools that extract relevant urban parameters and properties for models and model applications at appropriate scales for various climate, weather, environment, and urban planning purposes

Topics & Concepts

Python (programming language)Weather Research and Forecasting ModelComputer scienceEnvironmental scienceMeteorologyClimatologyGeologyGeographyProgramming languageUrban Heat Island MitigationMeteorological Phenomena and SimulationsClimate variability and models
W2W: A Python package that injects WUDAPT’s LocalClimate Zone information in WRF | Litcius