Skip Navigation
Small Business Innovation Research/Small Business Tech Transfer

Non-Linear Non Stationary Analysis of Two-Dimensional Time-Series Applied to GRACE Data

Completed Technology Project

Project Description

Non-Linear Non Stationary Analysis of Two-Dimensional Time-Series Applied to GRACE Data
The proposed innovative two-dimensional (2D) adaptive analysis will be tested NASA's Gravity Recovery and Climate Experiment (GRACE) mission database in phase I in an attempt of extracting and reveal its finest details. The science data from the GRACE mission will be used to estimate global models for the mean and time variable Earth gravity field. Geodesy deals with obtaining precise measurements of the Earth, mapping points on the surface, and studying its gravitational field. The proposed R&D effort will contribute to the production of a more precise model of the changes in gravity over the Earth's surface vs. time. Early results using the prototype algorithms have demonstrated great potential of extracting physical cyclic components in GRACE data from level-1 data over the Amazon Basin & Groenland at a time interval of 10 days. The proposed research and development team has participated in the latest cycle of technology development related to the multi-dimensional isotropic, adaptive decomposition at the theoretical, implementation, and application levels. Not only will the creation of the proposed method contribute to the data analysis of GRACE data, but also in other applications within and outside NASA's mission, including the potential of extending to 3D, for the analysis of waveform LIDAR from the ICESat mission. Technology Taxonomy: portable data analysis tools, software development environments, and software tools for distributed analysis and simulation. More »

Anticipated Benefits

Primary U.S. Work Locations and Key Partners

Technology Transitions

Light bulb

Suggest an Edit

Recommend changes and additions to this project record.

This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.