Persistent Identifier
|
doi:10.11588/data/NHIVDO |
Publication Date
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2023-09-28 |
Title
| Optimising Urban Measurement Networks for CO2 Flux Estimation: A High-Resolution Observing System Simulation Experiment using GRAMM/GRAL [data] |
Alternative Title
| OSSE for Urban CO2 Flux Estimation using GRAMM/GRAL |
Author
| Vardag, Sanam Noreen (Heidelberg University, Institute for Environmental Physics) - ORCID: 0000-0003-4959-9336
Maiwald, Robert (Heidelberg University, Institute for Environmental Physics) |
Point of Contact
|
Use email button above to contact.
Vardag, Sanam Noreen (Heidelberg University, Institute for Environmental Physics) |
Description
| The data set contains CO2 concentration fields at 2m height above ground in Heidelberg, Germany as simulated by the model GRAMM (v19.1)/GRAL(v.19.1). It can be used as input for Observing System Simulation Experiments (OSSE). 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 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. (2023-09-18) |
Subject
| Earth and Environmental Sciences; Physics |
Keyword
| Observing System Simulation Experiment
Climate Action Science |
Topic Classification
| Environmental Physics, Climate Action Science |
Notes
| 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 |
Language
| English |
Producer
| Vardag, Sanam Noreen (Heidelberg University, Institute for Environmental Physics)
|
Production Location
| Heidelberg |
Contributor
| Research Group : Simulation of greenhouse gases in the atmosphere |
Funding Information
| German Research Foundation (DFG) within the Excellence Strategy, ExU 5.2 as granted by the Heidelberg Center for the Environment. |
Distributor
| Vardag, Sanam Noreen (Heidelberg University, Institute for Environmental Physics) |
Software
| GRAMM/GRAL model, Version: v19.01 |
Related Material
| 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 |
Documentation and Access to Sources
| To read data, we refer to: - GRAMM/GRAL GUI: https://github.com/GralDispersionModel/GUI - Python library by Berchet et al. (2017): https://zenodo.org/record/840843 - GGPYmanager- Public Github repository by Robert Maiwald: https://github.com/ATMO-IUP-UHEI/GGpyManager |