You can manage bookmarks using lists, please log in to your user account for this.
Media type:
Online Resource;
Computer Dataset;
Dataset;
Database
Title:
Optimising urban measurement networks for CO2 flux estimation
:
a high-resolution observing system simulation experiment using GRAMM/GRAL [data]
Other titles:
Abweichender Titel: OSSE for Urban CO2 Flux Estimation using GRAMM/GRAL
Description:
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