Optimising urban measurement networks for CO2 flux estimation

• Verfasst von: Vardag, Sanam Noreen [VerfasserIn]
• Verfasst von: Maiwald, Robert [VerfasserIn]
• Titel: Optimising urban measurement networks for CO2 flux estimation
• Titelzusatz: a high-resolution observing system simulation experiment using GRAMM/GRAL [data]
• Verf.angabe: Sanam Noreen Vardag, Robert Maiwald
• Verlagsort: Heidelberg
• Verlag: Universität
• E-Jahr: 2023
• Jahr: 2023-09-28
• Umfang: 1 Online-Ressource (2 Files)
• Fussnoten: Gesehen am 02.10.2023
• Weitere Titel: Abweichender Titel: OSSE for Urban CO2 Flux Estimation using GRAMM/GRAL
• DOI: doi:10.11588/data/NHIVDO
• Datenträger: Online-Ressource
• Dokumenttyp: Forschungsdaten
• Dokumenttyp: Datenbank
• Sprache: eng
• K10plus-PPN: 1860616968
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

CO2 concentration fields in Heidelberg were simulated using the model GRAMM v19.01/GRAL v19.01. GRAL uses the GRAMM wind fields as mesoscale input and refines the wind fields to a higher resolution taking into account the flow around buildings. The GRAL domain size is 12.3km x12.3km with 10m x 10m horizontal resolution and 2m vertical resolution. A Lagrangian particle simulation is performed to obtain the hourly steady state particle distribution from emissions, which is used to compute the concentration field. The model GRAMM and a link to its documentation can be found here: https://github.com/GralDispersionModel/GRAMM The model GRAL and a link to the documentation can be found here: https://github.com/GralDispersionModel/GRAL