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Article
A spatial-varying non-isotropic Gaussian-based convolution filter for smoothing GRACE-like temporal gravity fields
The strong noise of satellite-based Time-Variable Gravity (TVG) field is often suppressed by applying the averaging filters. However, how to appropriately compromise the data blurring and de-noising remains as...
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Article
Assessment of ZWD field predictions using the dynamic mode decomposition method
The existing water vapor present in the lower regions of the atmosphere plays a pivotal role in both weather forecasting and the propagation of signals in satellite-based observations. This parameter introduce...
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Article
Empirical Data Assimilation for Merging Total Electron Content Data with Empirical and Physical Models
An accurate estimation of ionospheric variables such as the total electron content (TEC) is important for many space weather, communication, and satellite geodetic applications. Empirical and physics-based mod...
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Article
Open AccessPredicting global thermospheric neutral density during periods with high geomagnetic activity
Estimating global and multi-level Thermosphere Neutral Density (TND) is important for studying coupling processes within the upper atmosphere, and for applications like orbit prediction. Models are applied for...
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Article
Open AccessImproving estimates of the ionosphere during geomagnetic storm conditions through assimilation of thermospheric mass density
Dynamical changes in the ionosphere and thermosphere during geomagnetic storm times can have a significant impact on our communication and navigation applications, as well as satellite orbit determination and ...
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Article
Open AccessForecasting global and multi-level thermospheric neutral density and ionospheric electron content by tuning models against satellite-based accelerometer measurements
Global estimation of thermospheric neutral density (TND) on various altitudes is important for geodetic and space weather applications. This is typically provided by models, however, the quality of these model...
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Article
Open AccessDevelo** a Complex Independent Component Analysis (CICA) Technique to Extract Non-stationary Patterns from Geophysical Time Series
In recent decades, decomposition techniques have enabled increasingly more applications for dimension reduction, as well as extraction of additional information from geophysical time series. Traditionally, the...
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Article
Reconstructing Regional Ionospheric Electron Density: A Combined Spherical Slepian Function and Empirical Orthogonal Function Approach
The computerized ionospheric tomography is a method for imaging the Earth’s ionosphere using a sounding technique and computing the slant total electron content (STEC) values from data of the global positionin...
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Article
Ice mass change in Greenland and Antarctica between 1993 and 2013 from satellite gravity measurements
We construct long-term time series of Greenland and Antarctic ice sheet mass change from satellite gravity measurements. A statistical reconstruction approach is developed based on a principal component analys...
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Article
Modeling of present-day atmosphere and ocean non-tidal de-aliasing errors for future gravity mission simulations
A realistically perturbed synthetic de-aliasing model consistent with the updated Earth System Model of the European Space Agency is now available over the period 1995–2006. The dataset contains realizations o...
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Article
The updated ESA Earth System Model for future gravity mission simulation studies
A new synthetic model of the time-variable global gravity field is now available based on realistic mass variability in atmosphere, oceans, terrestrial water storage, continental ice-sheets, and the solid Eart...
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Article
Multivariate Prediction of Total Water Storage Changes Over West Africa from Multi-Satellite Data
West African countries have been exposed to changes in rainfall patterns over the last decades, including a significant negative trend. This causes adverse effects on water resources of the region, for instanc...
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Article
Separation of deterministic signals using independent component analysis (ICA)
Independent Component Analysis (ICA) represents a higher-order statistical technique that is often used to separate mixtures of stochastic random signals into statistically independent sources. Its benefit is ...
