Original paper
Survey On Output Data From Obstacle Resolving Atmospheric Models
Voss, Vivien; Schlünzen, K. Heinke; Grawe, David
Meteorologische Zeitschrift Vol. 33 No. 3 (2024), p. 243 - 253
28 references
published: Jul 29, 2024
published online: Jun 24, 2024
manuscript accepted: May 3, 2024
manuscript revision received: Jan 29, 2024
manuscript revision requested: Jan 29, 2024
manuscript received: Dec 18, 2023
Open Access (paper may be downloaded free of charge)
Abstract
Obstacle resolving micro-scale atmospheric models (ORMs) are important to assess atmospheric processes within urban areas. However, the data generated from such models are not standardised yet and existing data standards do not fit properly to those data. Standardised model data can help to prepare FAIR data publications, which foster the process of data reuse, sharing, comparison and distribution. Therefore, an online survey was distributed among ORM users and developers in the urban meteorology and urban climate community. The survey should help to assess, which models are currently in use and to collect suggestions and requirements from the participants on how a data standard should look like. The aim of the survey was not to test the knowledge of the participants about the model they use but rather to get an overview of how they understand, use and work with ORMs. Based on 14 finished survey entries, it shows that ORMs provide and handle their data differently. The participants are aware of the need for standardisation, preferring netCDF as data format and suggesting extending existing standards to the needs of ORM data.
Keywords
Obstacle Resolving Modelling • AtMoDat • Model Data • Survey • Standardisation • Micro-scale Modelling