R. Dill

发表

Numerical simulations of global‐scale high‐resolution hydrological crustal deformations

R. Dill, H. Dobslaw, 2013 .

A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06

R. König, F. Flechtner, C. Dahle, 2017 .

The updated ESA Earth System Model for future gravity mission simulation studies

Jürgen Kusche, Ingo Sasgen, Ehsan Forootan, 2015, Journal of Geodesy.

Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses

A. Eicker, R. Dill, H. Dobslaw, 2020, Scientific Reports.

Gravitationally Consistent Mean Barystatic Sea Level Rise From Leakage‐Corrected Monthly GRACE Data

F. Flechtner, C. Dahle, V. Klemann, 2020, Journal of Geophysical Research: Solid Earth.

Updating ESA’s Earth System Model for Gravity Mission Simulation Studies : 1. Model Description and Validation

I. Sasgen, J. Kusche, E. Forootan, 2014 .

Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia

J. Bogusz, R. Dill, H. Dobslaw, 2021, GPS Solutions.

Processing and modeling options for advanced thin film magnetoresistrve head structures

R. Fontana, M. Williams, E. Lee, 1999, IEEE International Magnetics Conference.

Evaluating Processing Choices for the Geodetic Estimation of Earth Orientation Parameters With Numerical Models of Global Geophysical Fluids

U. Hugentobler, D. Thaller, R. Dill, 2020, Journal of Geophysical Research: Solid Earth.

Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO data

F. Flechtner, C. Dahle, M. Murböck, 2020, GEM - International Journal on Geomathematics.

Analytical Calculation of the Magnetic Field in Electrical Machines due to the Current Density in an Airgap Winding

M. J. Hoeijmakers, S. R. Holm, H. Polinder, 2022 .

On the effect of non-tidal atmospheric and oceanic loading on the orbits of the altimetry satellites ENVISAT, Jason-1 and Jason-2

K. Neumayer, R. König, A. Michalak, 2020, Advances in Space Research.

Short-term polar motion forecasts from earth system modeling data

R. Dill, H. Dobslaw, 2010 .

Construction of an inexpensive copper heat-pipe oven

R. Dill, W. Grieser, N. Cheviron, 2009 .

Non‐Tidal Background Modeling for Satellite Gravimetry Based on Operational ECWMF and ERA5 Reanalysis Data: AOD1B RL07

C. Dahle, R. Dill, H. Dobslaw, 2022, Journal of Geophysical Research: Solid Earth.

A method for reconstructing global ocean-induced surface displacements from land-based in-situ stations

R. Dill, I. Bergmann-Wolf, Maik Thomas, 2015 .

Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry

C. Dahle, R. Dill, H. Dobslaw, 2022, Journal of Advances in Modeling Earth Systems.

Applying local Green's functions to study the influence of the crustal structure on hydrological loading displacements

Z. Martinec, V. Klemann, R. Dill, 2015 .

Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data - A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series

Tilo Schöne, Mahdi Motagh, Volker Klemann, 2018, Remote. Sens..

Correcting surface loading at the observation level: impact on global GNSS and VLBI station networks

Harald Schuh, Benjamin Männel, Maik Thomas, 2019, Journal of Geodesy.

Simulating high‐frequency atmosphere‐ocean mass variability for dealiasing of satellite gravity observations: AOD1B RL05

Frank Flechtner, Ingo Sasgen, Maik Thomas, 2013 .

A physically consistent system model for the study of the Earth's rotation, surface deformation and gravity field parameters

A. Hense, J. Sündermann, R. Dill, 2009 .

Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses

A. Eicker, R. Dill, H. Dobslaw, 2020, Scientific Reports.

Seasonal variations in global mean sea level and consequences on the excitation of length-of-day changes

R. Dill, H. Dobslaw, 2019, Geophysical Journal International.

Evaluating Gravimetric Polar Motion Excitation Estimates from the RL06 GRACE Monthly-Mean Gravity Field Models

Henryk Dobslaw, Robert Dill, Justyna Sliwinska, 2020, Remote. Sens..

Validation of terrestrial water storage variations as simulated by different global numerical models with GRACE satellite observations.

T. Stacke, A. Güntner, R. Dill, 2016 .

Self‐Validating Deep Learning for Recovering Terrestrial Water Storage From Gravity and Altimetry Measurements

Christopher Irrgang, Maik Thomas, Robert Dill, 2020, Geophysical Research Letters.

Seasonal polar motion excitation from numerical models of atmosphere, ocean, and continental hydrosphere

A. Brzeziński, R. Dill, H. Dobslaw, 2010 .

Hydrological model LSDM for operational Earth rotation and gravity field variations

Robert Dill, R. Dill, 2008 .

ResLearner: geophysically-informed machine learning for improving the accuracy of rapid Earth orientation parameters

Mostafa Kiani Shahvandi, R. Dill, H. Dobslaw, 2023 .

Comparison of Daily GRACE Gravity Field and Numerical Water Storage Models for De-aliasing of Satellite Gravimetry Observations

M. Wattenbach, T. Gruber, A. Güntner, 2014, Surveys in Geophysics.

Predicting Earth orientation changes from global forecasts of atmosphere-hydrosphere dynamics

R. Dill, H. Dobslaw, 2017 .

An Overview of the HETE Soft X-ray Camera

Glen Pickslay Monnelly, Gregory Y. Prigozhin, George R. Ricker, 2003 .

Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO data

F. Flechtner, C. Dahle, M. Murböck, 2020, GEM - International Journal on Geomathematics.

Geophysically Informed Machine Learning for Improving Rapid Estimation and Short‐Term Prediction of Earth Orientation Parameters

Mostafa Kiani Shahvandi, R. Dill, H. Dobslaw, 2023, Journal of Geophysical Research: Solid Earth.

Accounting for residual errors in atmosphere–ocean background models applied in satellite gravimetry

F. Flechtner, C. Dahle, R. Dill, 2024, Journal of Geodesy.