Keywords
exploratory data analysis, earth system model, geodesy, spatial and temporal signatures, system design
Start Date
1-7-2012 12:00 AM
Abstract
Aim of this project is to develop novel methods for a better understandingof temporal signatures - both in their spatial and spectral domains - arising from multiplecomponents (subsystems) of a Geodetic Earth System model (GESM). This modelis specifically dedicated to predicting geodetic measurements, either coupled or independentfor each subsystem. Methods of interactive visualization provide the meansto subsequently explore variations of mass signals over time in the spatial and spectraldomains, assess their superpositions in the geodetic measurements, and identify theirsignal and noise characteristics. This information is important to assess the sensitivity ofthe geodetic measurement to a specific processes, and to explore methods for separatingsuperimposed signals.In this paper, we present requirement on the system’s design and the visual interfaceto support exploration of mass signals over time in the spatial and temporal domain. Asa first result of our research, we propose a data model that supports the retrieval of allrelevant spatial and temporal aspects of the data in real-time.
Exploration of spatial and temporal signatures in multiple components of a Geodetic Earth System Model
Aim of this project is to develop novel methods for a better understandingof temporal signatures - both in their spatial and spectral domains - arising from multiplecomponents (subsystems) of a Geodetic Earth System model (GESM). This modelis specifically dedicated to predicting geodetic measurements, either coupled or independentfor each subsystem. Methods of interactive visualization provide the meansto subsequently explore variations of mass signals over time in the spatial and spectraldomains, assess their superpositions in the geodetic measurements, and identify theirsignal and noise characteristics. This information is important to assess the sensitivity ofthe geodetic measurement to a specific processes, and to explore methods for separatingsuperimposed signals.In this paper, we present requirement on the system’s design and the visual interfaceto support exploration of mass signals over time in the spatial and temporal domain. Asa first result of our research, we propose a data model that supports the retrieval of allrelevant spatial and temporal aspects of the data in real-time.
