000003333 001__ 3333
000003333 005__ 20180105081914.0
000003333 037__ $$aPOSTER-2018-0004
000003333 100__ $$ade Viron, O.
000003333 245__ $$aEstimation of the Data Precision Using Variance Component Estimation, with Application to Polar Motion Time Series
000003333 260__ $$c2017
000003333 269__ $$c2017-12-11
000003333 520__ $$aThe precision assessment of Earth rotation fluctuations is of fundamental importance for internal geophysics: for example length-of-day (LOD) studies allow to better understand the long-term core dynamics, nutation allows to determine fundamental properties of the core and inner core , and polar motion studies contribute to a better knowledge of the mantle visco-elastic response . To obtain the full benefit from each data set, it is necessary to assess its precision before interpreting it geophysically. Most of the time, precision assessment of geodesy data is achieved by comparing independent observations of the same quantity, as done for example with the three-cornered hat (TCH) method. We propose to addapt the Variance Component Estimation (VCE) method to assess the data precision, and we show that it outperforms the TCH in the same configuration. We also show how VCE can be used to estimate a confidence interval for the precision assessment. This method is then applied to Polar Motion data.
000003333 594__ $$aNO
000003333 6531_ $$aLength of the day
000003333 6531_ $$aGNSS
000003333 6531_ $$aDORIS
000003333 6531_ $$aVLBI
000003333 6531_ $$aSLR
000003333 6531_ $$aVariance Component Estimation VCE
000003333 700__ $$aRebischung, P.
000003333 700__ $$aVan Camp, M.
000003333 773__ $$tAGU Fall meeting, New Orleans
000003333 8560_ $$fmichel.vancamp@observatoire.be
000003333 980__ $$aCPOSTER