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20182022
most citedThe current state and future directions of modeling thermosphere density enhancements during extreme magnetic storms

30 citations · 40 across the 6 of their papers we have counts for

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6 papers · 1 filter

physics.space-ph20222 cited

Advanced ensemble modeling method for space object state prediction accounting for uncertainty in atmospheric density

Smriti Nandan Paul, Richard J. Licata, Piyush M. Mehta

For objects in the low Earth orbit region, uncertainty in atmospheric density estimation is an important source of orbit prediction error, which is critical for space situational a…

physics.space-ph20221 cited

Stochastic modeling of physical drag coefficient -- its impact on orbit prediction and space traffic management

Smriti Nandan Paul, Phillip Logan Sheridan, Richard J. Licata +1

Ambitious satellite constellation projects by commercial entities and the ease of access to space in recent times have led to a dramatic proliferation of low-Earth space traffic. I…

physics.space-ph20221 cited

Understanding variability in HASDM to support space traffic management

W. Kent Tobiska, Marcin D. Pilinski, Shaylah Mutschler +5

With more commercial constellations planned, the number of Low Earth Orbit (LEO) objects is set to TRIPLE in two years. The growth in LEO objects directly increases the probability…

physics.space-ph202130 cited

The current state and future directions of modeling thermosphere density enhancements during extreme magnetic storms

Denny M. Oliveira, Eftyhia Zesta, Piyush M. Mehta +4

Satellites, crewed spacecraft and stations in low-Earth orbit (LEO) are very sensitive to atmospheric drag. A satellite's lifetime and orbital tracking become increasingly inaccura…

physics.space-ph2020

Benchmarking Forecasting Models for Space Weather Drivers

Richard J. Licata, W. Kent Tobiska, Piyush M. Mehta

Space weather indices are commonly used to drive operational forecasts of various geospace systems, including the thermosphere for mass density and satellite drag. The drivers serv…

physics.space-ph2018

A quasi-physical dynamic reduced order model for thermospheric mass density via Hermitian Space Dynamic Mode Decomposition

Piyush M. Mehta, Richard Linares, Eric K. Sutton

Thermospheric mass density is a major driver of satellite drag, the largest source of uncertainty in accurately predicting the orbit of satellites in low Earth orbit (LEO) pertinen…