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Stochastische Analysis von Sprungprozessen

Wir verbinden Methoden der Wahrscheinlichkeitstheorie mit Methoden der Analysis um Sprungprozesse zu analysieren. Insbesondere betrachten wir Coupling von Prozessen.

Regularized Empirical Variance-Covariance-Matrices for stochastic gravity modeling of 8 major ocean tides

This data publication represents the main outcomes of WP1.200 of Individual Project IP1 and Deliverable D1.1 of the research unit NEROGRAV. The goal of WP1.200 was the realistic representation of modern ocean tide model uncertainties in the form of empirical Variance-Covariance Matrices (VCMs) for the utilization in satellite gravimetric dealiasing. In the following, we describe the data set generation and format. A more detailed description of the processing strategy of the data set can be found in Abrykosov et al. (2021).

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