Paper
13 May 2016 Inter-comparison of GRACE data over India
Chandan Banerjee, D. Nagesh Kumar
Author Affiliations +
Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III; 98772H (2016) https://doi.org/10.1117/12.2223498
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India
Abstract
The advent of satellite remote sensing and its use in hydrology has facilitated a huge leap in the understanding of the various water resources, its interaction with ecological systems and anthropogenic creations. Recently, NASA and German Aerospace Research Agency-DLR launched the Gravity Recovery and Climate Experiment (GRACE) satellite mission consisting of two satellites. They measure the time varying gravity which gives changes in the distribution of mass on the surface of the earth which after removing atmospheric and oceanic effects is majorly caused by changes in Terrestrial Water Storage (TWS) changes. GRACE data is generally available as spherical harmonic coefficients, which is difficult for hydrologists to understand and interpret. JPL’s TELLUS website is now providing gridded global data set in the form of mass anomaly derived from the Level-2 data sets of spherical harmonic coefficients of 3 sources, viz. CSR, GFZ and JPL. Before using these data sets for solving hydrological problems, it is important to understand the differences and similarities between these data sets as direct calibration of GRACE data is not possible. In this study we do an inter-comparison of the Level-3 Release 05 data sets over India. We compare the data sets using Pearson, Spearman and Kendall correlation. CSR and GFZ data sets appear to be closest to each other whereas JPL and GFZ data sets are most different from each other.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chandan Banerjee and D. Nagesh Kumar "Inter-comparison of GRACE data over India", Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 98772H (13 May 2016); https://doi.org/10.1117/12.2223498
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Cited by 1 scholarly publication.
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KEYWORDS
Satellites

Thermal weapon sites

Remote sensing

Spherical lenses

Climatology

Earth's atmosphere

Gaussian filters

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