Results 111 to 120 of about 186 (143)

GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications. [PDF]

open access: yesSci Data
Kamath HG   +10 more
europepmc   +1 more source

Generating WUDAPT’s Specific Scale - dependent Urban Modeling and Activity Parameters: Collection of Level 1 and Level 2 Data

open access: yes, 2015
See, L.   +13 more
openaire   +1 more source

Air quality modeling in the metropolitan area of São Paulo, Brazil: A review. [PDF]

open access: yesAtmos Environ (1994)
Gavidia-Calderón M   +8 more
europepmc   +1 more source

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

open access: yesJournal of Open Source Software, 2022
Daniel Argüeso   +2 more
exaly   +3 more sources

Evaluating the performance of a novel WUDAPT averaging technique to define urban morphology with mesoscale models

Urban Climate, 2020
Abstract The definition of accurate input datasets, appropriately representing urban morphology characteristics, has been identified as a crucial point for improving the simulation of urban boundary layer (UBL) dynamics by means of mesoscale numerical weather prediction (NWP) models. However, the scarcity of suitable data to adequately describe urban
Dino Zardi   +2 more
exaly   +2 more sources

Improved simulation of very heavy rainfall events by incorporating WUDAPT urban land use/land cover in WRF

open access: yesUrban Climate, 2020
Abstract A World Urban Data Analysis and Portal Tool (WUDAPT) based Local Climate Zone (LCZ) classification and mapping is done for Mumbai, India. Prior WUDAPT-based urban studies have primarily focused on urban heat island (UHI) assessment, and this is the first study to assess the impact on rainfall simulations.
Subhankar Karmakar   +2 more
exaly   +3 more sources

Evaluation of uWRF performance and modeling guidance based on WUDAPT and NUDAPT UCP datasets for Hong Kong [PDF]

open access: yesUrban Climate, 2019
Abstract The evaluation of uWRF (WRF BEP/BEM) model over Hong Kong or the Pearl River Delta region has received less attention. One reason is the lack of a complete urban canopy parameters dataset for the building morphology in the PRD region.
Chao Ren, Meng Cai, Wong Mau Fung
exaly   +3 more sources

Utilizing world urban database and access portal tools (WUDAPT) and machine learning to facilitate spatial estimation of heatwave patterns

open access: yesUrban Climate, 2021
Climate change lead to more intense, higher frequent and prolonged heat extremes. Understanding the spatial pattern of heatwave is vital for providing the corresponding weather services, making climate change adaptation strategies and heat-health actions.
Xinwei Li, , Chao Ren
exaly   +2 more sources

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