Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting

Randa Natraš, Benedikt Soja, Michael Schmidt

Remote Sensing

Ensemble Machine LearningForecasting MethodologyEngineeringMachine LearningWeather Forecasting +18

Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms

Junyang Gou, Benedikt Soja

Nature Water

EngineeringMachine LearningWater QuantityClimate ModelingEarth System Science +22

Neural ODE Differential Learning and Its Application in Polar Motion Prediction

Mostafa Kiani Shahvandi, Matthias Schartner, Benedikt Soja

Journal of Geophysical Research Solid Earth

Forecasting MethodologyNew Learning AlgorithmMachine LearningEngineeringRecurrent Neural Network +15

Application of Kalman filtering in VLBI data analysis

Tobias Nilsson, Benedikt Soja, María Karbon, +2

Earth Planets and Space

Estimation and evaluation of real-time precipitable water vapor from GLONASS and GPS

Cuixian Lu, Xingxing Li, Maorong Ge, +5

GPS Solutions

MeteorologyEnvironmental MonitoringEngineeringAtmospheric ScienceRemote Sensing +4

JTRF2014, the JPL Kalman filter and smoother realization of the International Terrestrial Reference System

Claudio Abbondanza, Toshio M. Chin, R. S. Gross, +5

Journal of Geophysical Research Solid Earth

Jet Propulsion LaboratoryEngineeringMeasurementGlobal Navigation Satellite SystemEducation +23

Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series

Mostafa Kiani Shahvandi, Benedikt Soja

Advances in Space Research

Ultra-short-term prediction of LOD using LSTM neural networks

Junyang Gou, Mostafa Kiani Shahvandi, Roland Hohensinn, +1

Journal of Geodesy

Geometric LearningEngineeringMachine LearningLstm Neural NetworksRecurrent Neural Network +15

Earth orientation parameters estimated from VLBI during the CONT11 campaign

Tobias Nilsson, Robert Heinkelmann, María Karbon, +3

Journal of Geodesy

GeophysicsEarth ObservationEngineeringAtmospheric ScienceCalibration +4

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

Mostafa Kiani Shahvandi, Robert Dill, Henryk Dobslaw, +5

Journal of Geophysical Research Solid Earth

Earth ObservationEngineeringMachine LearningEarth Orientation ParametersClimate Modeling +17