Thu Dec 12, F.Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Tzamali, Myrto and Pagiatakis, Spiros, 2024. Exploring Thermospheric Disturbance Patterns Through Space-Borne Accelerometer Measurement Errors: A Weighted Accelerometer 1B Dataset of GRACE C. Geophysical Research Letters, 51(22):2024GL110588, doi:10.1029/2024GL110588.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024GeoRL..5110588T,
author = {{Tzamali}, Myrto and {Pagiatakis}, Spiros},
title = "{Exploring Thermospheric Disturbance Patterns Through Space-Borne Accelerometer Measurement Errors: A Weighted Accelerometer 1B Dataset of GRACE C}",
journal = {\grl},
keywords = {GRACE C, accelerometer, weighted datasets, solar terminator, penumbra transitions, thermosphere},
year = 2024,
month = nov,
volume = {51},
number = {22},
pages = {2024GL110588},
abstract = "{Satellite measurements are essential for understanding Earth's complex
system, yet they often lack a reliable a-priori covariance
matrix. This study presents a new methodology to enhance the
reliability of satellite measurements by deriving experimental
covariance matrices from the original observation. We focus on
the accelerometer measurements (1A dataset) from the GRACE
(Gravity Recovery and Climate Experiment) C satellite. Using
autocorrelation analysis, we create a block-diagonal covariance
matrix for the 1A dataset. We then apply a low-pass Gaussian
filter that integrates this covariance matrix into the least
squares estimation, resulting in a refined 1B dataset that
minimizes spikes and spurious accelerations while preserving
measurement error. Our variance analysis uncovers disturbances
linked to geomagnetic storms and the satellite's transitions
through Earth's shadow and terminator, with fluctuations notably
peaking during the equinoxes.}",
doi = {10.1029/2024GL110588},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024GeoRL..5110588T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Thu Dec 12, F.Flechtner