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Results of a Survey on Obstacle Resolving Model Data

<p>This publication&nbsp;includes the results of the online survey &quot;Obstacle resolving model data survey&quot;&nbsp;&nbsp;which was available via https://www.uhh.de/orm-survey until June 2022. The data was collected between October 2019 and June 2022. The survey was created with the survey tool&nbsp;limesurvey (https://www.limesurvey.org/).</p> <p>The aim of the survey was to collect information on&nbsp;obstacle-resolving&nbsp;atmospheric models&nbsp;and their data, targeting the modeler community.&nbsp;As a part of the project AtMoDat (www.atmodat.de (https://www.atmodat.de/)) we invited the obstacle-resolving modeling community to contribute with their experience with&nbsp;obstacle-resolving models (ORM) and its model data, what models were used and how the user handles the data. We want to develop a data standard for obstacle-resolving model&nbsp;data, which shall be similar to existing standards. Therefore we need&nbsp;some information about the use and processing of model data. This survey asks about the&nbsp;usage of different obstacle-resolving models and/or outputs.&nbsp;</p> <p>The survey is divided into two parts, the first part contains questions about model properties and the second part contains questions about how the participants handle model data.&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Topics