Time variability from high-low SST - filling the gap between GRACE and GFO

The method is then leveraged to derive two simple alternative unscented Kalman filters on Lie groups, for both cases of noisy partial measurements of the state, and full state

Synthetic Aperture Radar (SAR) displacement mea- surement time series can suffer from missing data in both space and time because of (1) raw data quality and/or (2) technical

Leaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations. Relating MODIS vegetation index time-series

Variations of the gain in phase and model parameter estimates (A-C ) and of the standard deviation of those estimates (D-F ) as a function of the error terms used to initialize

In the next section, we propose a learning algorithm, where this criterion is applied at the end in order to determine which of ψ n or ψ n ⊥ must be considered as the resulting

In this paper, we compare time series of terrestrial gravity (including the contribution due to surface displacement) as measured by superconducting gravimeters

• Ocean pole tides (IERS conventions, Desai 2002). • Atmospheric tides (N1-model, Biancale and

The combined trend profile from satellite measurements (Section 5.5) shows significant ozone decline in the pre-1997 period for all three broad latitude bands of -5.9 % ± 1.9 %