Organise and manage all data associated with your modelling projects
The Catalogue tool helps users to collect all of the key data associated with their modelling project and supports Building Information Modelling (BIM) compliance. It provides an enhanced lookup facility and makes it easier to access data for model reviews or to run new simulations.
Automatically populates simulation input and output data
Easier to find inputs, run parameters and model results
Monitor modelling progress
Easier to move files to a new location
Quickly check that all expected files have been received
Seamlessly integrated within Flood Modeller's user interface
Share model data more effectively
The Catalogue tool incorporates standardised templates to guide you to collect all required data associated to a project. It provides templates that are organised into four hierarchic levels, Project, Model(s), Scenario(s) and Simulation(s). This structure is relatively common, and consistent with how modellers organise their project. When setting up a new catalogue, you can populate the required fields in each level, which include details for a wide range of input and output data contained within the models.
Flood Modeller's Catalogue tool helps users to collect all of the key data associated with their modelling project.
The tool can scan the referenced files to automatically extract data to populate the catalogue. You are also able to record metadata for the project and model, e.g. project reference number, simulation time period and annual exceedance probability.
At each stage of the project, the tool includes a validation option to check whether required information is filled in and whether all referenced files are present, highlighting where expected data is missing. Upon completion of a project the catalogue will provide a lookup for all major data associated to the project, providing easy access to the data for reviewers and other project stakeholders.
"Using the catalogue tool has proven to be really useful; the common structure and additional meta data makes model familiarisation much easier and faster, particularly for model reviews."
Louise Cramp | Flood Risk Mapping and Schemes Advisor