Cityblocks
Python utility to generate local climate zone (LCZ) tiles for rendering in 3D in QGIS
Urban Morphology for Microscale Meteorological Modelling
Cities experience the urban heat island effect (UHI), i.e. cities are warmer than the countryside. With climate change and rapid urbanization UHI effects will become more frequent, and better UHI modelling and warning strategies are needed. Urban temperatures vary locally due to the presence of buildings, trees, water bodies that affect the absorbed solar radiation, the wind speed and evapotranspiration. Urban weather models therefore need high resolution urban morphology information like building height, street width, tree positions, building material and reflective properties of roofs, roads and building walls. Recent modelling efforts focused on including urban morphology, but spatial information about reflective properties of roofs, roads and building walls has been ignored. We use digital technologies to collect Google Streetview images and drone images, and map high-resolution information about reflective properties and to feed them into a weather model for Amsterdam and validate forecasts against field and remote sensing observations.
Environmental re-analysis of urban areas: quantifying high-resolution energy and water budgets of...
Forecasting and mapping human thermal comfort in urban areas
Python utility to generate local climate zone (LCZ) tiles for rendering in 3D in QGIS
A snakemake workflow to run WRF, including pre- and postprocessing. See our blog post for a detailed description.
Streetscapes is a package for code for downloading, segmenting and analysing images from Mapillary and KartaView.
Simple shell script to run a complete WPS/WRF experiment in one go