Results 21 to 30 of about 145 (102)
AbstractThe difference UT1-UTC is the most variable quantity among the Earth Orientation Parameters (EOP) with significant unpredictable variation. It can be measured only with the quasi-space-fixed technique VLBI. The IVS organizes two different VLBI observation campaigns: The bi-weekly 24-hour Rapid campaigns and the daily 1-hour Intensive sessions ...
Daniela Thaller +2 more
exaly +2 more sources
The universal time (UT1-UTC) and length of day change (ΔLOD) are two parameters that describe the Earth's rotation rate variations. UT1-UTC is typically used in space projects, whereas ΔLOD is used for scientific investigations.
Xueqing Xu, Yonghong Zhou, Cancan Xu
doaj +1 more source
A Simulation Study for Future Geodetic Satellites Tracked by Satellite Laser Ranging
Abstract Satellite laser ranging (SLR) measurements play a key role in determining global geodetic parameters, such as station coordinates, geocenter motion, low‐degree Earth's gravity field parameters, and Earth rotation parameters. Observations to two LAser GEOdynamics Satellites (LAGEOS) and two Etalon satellites provide operational standard ...
Joanna Najder +3 more
wiley +1 more source
Abstract The primary objective of the National Aeronautics and Space Administration (NASA) Surface Biology and Geology (SBG) mission is to measure biological, physical, chemical, and mineralogical features of the Earth's surface, realizing a key conceptual component of the envisioned NASA Earth System Observatory (ESO).
Kevin R. Turpie +13 more
wiley +1 more source
Abstract Mobility interventions in communities play a critical role in containing a pandemic at an early stage. The real‐world practice of social distancing can enlighten policymakers and help them implement more efficient and effective control measures. A lack of such research using real‐world observations initiates this article.
Qianqian Sun +6 more
wiley +1 more source
Neural ODE Differential Learning and Its Application in Polar Motion Prediction
Abstract This paper introduces a new learning algorithm for accurate, physically driven time series prediction. The fundamental assumption behind the method is that the phenomena follow Ordinary Differential Equations. We investigate the general case where the time series follows an ODE of degree .
Mostafa Kiani Shahvandi +2 more
wiley +1 more source
Estimation of Earth Rotation Parameters and Prediction of Polar Motion Using Hybrid CNN–LSTM Model
The Earth rotation parameters (ERPs), including polar motion (PMX and PMY) and universal time (UT1-UTC), play a central role in functions such as monitoring the Earth’s rotation and high-precision navigation and positioning.
Kehao Yu +5 more
doaj +1 more source
Abstract This article focuses on the new generation of geodetic very long baseline interferometry (VLBI), the VLBI global observing system (VGOS), and measurements carried out during the CONT17 campaign. It uses broadband technology that increases both the number and precision of observations.
Sanam Motlaghzadeh +4 more
wiley +1 more source
Improving Atmospheric Angular Momentum Forecasts by Machine Learning
Abstract Earth angular momentum forecasts are naturally accompanied by forecast errors that typically grow with increasing forecast length. In contrast to this behavior, we have detected large quasi‐periodic deviations between atmospheric angular momentum wind term forecasts and their subsequently available analysis.
R. Dill +3 more
wiley +1 more source
Abstract A major problem in the precise orbit determination (POD) of satellites at altitudes below 1,000 km is the modeling of the aerodynamic drag which mainly depends on the thermospheric density and causes the largest non‐gravitational acceleration. Typically, empirical thermosphere models are used to calculate density values at satellite positions ...
Lea Zeitler +7 more
wiley +1 more source

