Keywords

open, hydrologic archive, forecasting, events, use case

Location

Session A2: Sharing Scientific Environmental Data and Models

Start Date

18-6-2014 10:40 AM

End Date

18-6-2014 12:00 PM

Description

Water agencies conducting daily operational forecasting need an archive solution that enables them to review (and legally defend) forecasts and decisions made, conduct post-event performance analysis, create canned datasets for training and create datasets for model calibration and hindcasting. Each use case has different storage needs, both in terms of data types stored, moment of archiving, backup and end-of-life strategies. In addition, each use case has different discovery and retrieval needs, sometimes followed by additional data creation (e.g. a post-event evaluation report) to be stored in relation to the original data. Data discovery strategies for scientific purposes typically start with an area and period of interest, followed by more query details such as locations, variables, and quality/status indications. Many of the operational use cases have an additional item in common: they can be related to an ‘event,’ e.g. a storm, flood, drought or spill event. An event can be labelled by a meaningful name, covers an area and a period of interest (e.g. Hurricane Sandy hit the NJ-NY coast around 28 October–31 October 2013). Events can thus be used to discover relevant data in the archive. Events can also be related to use cases, e.g. training events or calibration events. Since use cases differ in data needs, as well as end-of-life and backup strategies, these can be related to events as well. Using the above mentioned concepts, this paper discusses the intended usage of the Deltares Open Archive in daily operations and science.

 
Jun 18th, 10:40 AM Jun 18th, 12:00 PM

Usage of the Deltares Open Archive

Session A2: Sharing Scientific Environmental Data and Models

Water agencies conducting daily operational forecasting need an archive solution that enables them to review (and legally defend) forecasts and decisions made, conduct post-event performance analysis, create canned datasets for training and create datasets for model calibration and hindcasting. Each use case has different storage needs, both in terms of data types stored, moment of archiving, backup and end-of-life strategies. In addition, each use case has different discovery and retrieval needs, sometimes followed by additional data creation (e.g. a post-event evaluation report) to be stored in relation to the original data. Data discovery strategies for scientific purposes typically start with an area and period of interest, followed by more query details such as locations, variables, and quality/status indications. Many of the operational use cases have an additional item in common: they can be related to an ‘event,’ e.g. a storm, flood, drought or spill event. An event can be labelled by a meaningful name, covers an area and a period of interest (e.g. Hurricane Sandy hit the NJ-NY coast around 28 October–31 October 2013). Events can thus be used to discover relevant data in the archive. Events can also be related to use cases, e.g. training events or calibration events. Since use cases differ in data needs, as well as end-of-life and backup strategies, these can be related to events as well. Using the above mentioned concepts, this paper discusses the intended usage of the Deltares Open Archive in daily operations and science.