Jan Martin Brockmann (0000-0002-7647-4515)

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Jan Martin Brockmann started to work in the Theoretical Geodesy Group already as a student assistant in 2007. After the finalization of the diploma degree course “Vermessungswesen” and his diploma thesis in the Theoretical Geodesy group he received the degree Dipl.-Ing in 2008.

2008 he started in the Theoretical Geodesy group as a PhD candidate and worked in the context of gravity field recovery from observations collected by the satellite mission GOCE. As a member of the EGG-C and the ESA HPF Team he was involved in the official processing of the observations and contributed significantly to the generation of the gravity field models computed with the so called time-wise approach. The computational requirements brought lead towards the field of high performance computing. He defended his PhD thesis “On High Performance Computing in Geodesy — Applications in Global Gravity Field Determination” in that context in 2014.

Since 2014 he is working as postdoctoral researcher in the group, still working in the context of high performance computing and global gravity field determination. Currently the focus is on the joint estimation and separation of gravity field and geodetic dynamic ocean topography models from altimetry observations. Here again high performance computing plays an important role.

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University of Bonn: Bonn, DE

2024-04-01 to present | Researcher (Institute of Geodesy and Geoinformation, Space Geodesy Group)

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Jan Martin Brockmann

https://orcid.org/0000-0002-7647-4515

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Employment (2)

University of Bonn: Bonn, DE

Rheinische Friedrich-Wilhelms-Universität Bonn: Bonn, Nordrhein-Westfalen, DE

Education and qualifications (2)

Rheinische Friedrich Wilhelms Universität Bonn: Bonn, Nordrhein-Westfalen, DE

Rheinische Friedrich Wilhelms Universität Bonn: Bonn, Nordrhein-Westfalen, DE

Funding (4)

Development of Continuous Spatio-Temporal Finite Element Based Models for Sea Surface Approximation

MAssive Parallel Approximation of Static and Time-VariablE Reference Surfaces with C1-smooth Finite Element Model Functions

PArametric determination of the dynamic ocean topography from geoid, altimetric sea sur- face heights and SAR derived RAdial SURface Velocities — PARASURV

Adaptive Optimization of Global Gravity field modeling and the Ocean's Dynamic Topography

Works (45)

Radial surface currents from space: An opportunity for mean dynamic topography estimation?

Modeling of Inhomogeneous Spatio-Temporal Signals by Least Squares Collocation

On the Coestimation of Long-Term Spatio-Temporal Signals to Reduce the Aliasing Effect in Parametric Geodetic Mean Dynamic Topography Estimation

On the Estimation of Time Varying AR Processes

Refinement of Spatio-Temporal Finite Element Spaces for Mean Sea Surface and Sea Level Anomaly Estimation

A Comparison between Successive Estimate of TVAR(1) and TVAR(2) and the Estimate of a TVAR(3) Process

Development of a continuous spatiotemporal finite element-based representation of the mean sea surface

On the Family of Covariance Functions Based on ARMA Models

A Mathematical Investigation of a Continuous Covariance Function Fitting with Discrete Covariances of an AR Process

An Improved Model of the Earth’s Static Gravity Field Solely Derived from Reprocessed GOCE Data

GOCO06s – a satellite-only global gravity field model

GOCO06s – A satellite-only global gravity field model

A Generic Approach to Covariance Function Estimation Using ARMA-Models

Identification of Suspicious Data for Robust Estimation of Stochastic Processes

The Numerical Treatment of Covariance Stationary Processes in Least Squares Collocation

GOCO05c: A New Combined Gravity Field Model Based on Full Normal Equations and Regionally Varying Weighting

Systematic Effects in Laser Scanning and Visualization by Confidence Regions

Consistent Combination of Gravity Field, Altimetry and Hydrographic Data

On High Performance Computing in Geodesy -- Applications in Global Gravity Field Determination

Satellite gravity models and their use for estimating mean ocean circulation

Use of High Performance Computing for the Rigorous Estimation of Very High Degree Spherical Harmonic Gravity Field Models

EGM_TIM_RL05: An independent geoid with centimeter accuracy purely based on the GOCE mission

Completion of Band-Limited Data Sets on the Sphere

A concept for the estimation of high-degree gravity field models in a high performance computing environment

Mean dynamic topography estimates purely based on GOCE gravity field models and altimetry

A Tailored Computation of the Mean Dynamic Topography for a Consistent Integration into Ocean Circulation Models

Adjustment of Digital Filters for Decorrelation of GOCE SGG Data

Satellite Gravity Models and Their Use for Estimating Mean Ocean Circulation

Optimal regularization for geopotential model GOCO02S by Monte Carlo methods and multi-scale representation of density anomalies

Combination of GOCE Data with Complementary Gravity Field Information

GOCE-Only Gravity Field Models Derived from 8 Months of GOCE Data

Refinement of the Stochastic Model of GOCE Scientific Data in a Long Time Series

Stochastic Model Refinements for GOCE Gradiometer Data

Use of Massive Parallel Computing Libraries in the Context of Global Gravity Field Determination from Satellite Data

First GOCE gravity field models derived by three different approaches

Uncertainty Assessment of Some Data-Adaptive M-Estimators

Fast Variance Component Estimation in GOCE Data Processing

GOCE Data Analysis: From Calibrated Measurements to the Global Earth Gravity Field

GOCE Gravity Field Model Derived from Orbit and Gradiometry Data Applying the Time-Wise Method

Combined satellite gravity field modelGOCO01Sderived from GOCE and GRACE

Effiziente Varianzkomponentenschätzung Über Iterative Techniken Bei Der GOCE-Daten Prozessierung

Adaptive Optimization of GOCE Gravity Field Modeling

Computational Aspects of High-Resolution Global Gravity Field Determination - Numbering Schemes and Reordering

Global Gravity Field Model Derived from Orbit and Gradiometry Data Applying the Time-Wise Method

Refinement of the Stochastic Model of GOCE Scientific Data and Its Effect on the in-Situ Gravity Field Solution

Peer review (62 reviews for 17 publications/grants)