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

Description: 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).

Global identifier:

Doi(
    "10.5880/nerograv.2023.003",
)

Origins: /Wissenschaft/GFZ

Tags: Satellit ? Daten ? Meeresnutzung ? Meeresgewässer ? Modellierung ? Gezeiten ? Covariance ? EARTH SCIENCE > OCEANS > MARINE GEOPHYSICS > MARINE GRAVITY FIELD ? EARTH SCIENCE > OCEANS > OCEAN WAVES > GRAVITY WAVES ? EARTH SCIENCE > OCEANS > TIDES > TIDAL COMPONENTS ? EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT ? Earth Observation Satellites > NASA Earth System Science Pathfinder > GRACE ? NEROGRAV ? New Refined Observations of Climate Change from Spaceborne Gravity Missions ? Stokes coefficients ? empirical VCM ? satellite gravimetry ?

License: cc-by/4.0

Language: Englisch/English

Organisations

• GFZ Data Services (Herausgeber*in)

Issued: 2023-01-01

Time ranges: 2023-01-01 - 2023-01-01

Status

Aktiv

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