An accurate estimation of the Thermospheric Neutral Density (TND) is important for predicting the orbit of satellites and objects, for example, those with the altitude of less than 1000 km. Models are often used to simulate TNDs but their accuracy is limited due to modelling restrictions and sensitivity to the calibration period. Satellite missions such as CHAMP, GRACE, GOCE, Swarm, and GRACE-FO are equipped with on-board accelerometer sensors to measure drag forces, which can be used to estimate along-track TNDs. However, spatial and temporal coverage of these space borne TNDs is restricted to the mission design. To make the best use of the modelling tools and measurements, we applied these along-track TND measurements within the sequentia...
Ultra-sensitive space-borne accelerometers on board of low Earth orbit (LEO) satellites are used to ...
We present new neutral mass density and crosswind observations for the CHAMP, GRACE, and GRACE-FO mi...
In this paper, a new data-driven method is demonstrated for real-time neutral density estimation via...
The uncertainty in thermospheric neutral density (TND) estimates is one of the largest and persisten...
Quantifying spatial and temporal changes in thermospheric neutral density is important for various a...
TND-IGG RL01: This dataset is the first release of thermospheric neutral densities (TND) processed a...
Global estimation of thermospheric neutral density (TND) on various altitudes is important for geode...
The uncertainty on Thermospheric Mass Density (TMD), as derived from atmospheric models, can reach e...
The specification and prediction of density fluctuations in the thermosphere, especially during geom...
The thermosphere is located above the mesosphere and below the exosphere, and its highly ionized sta...
Observations of upper atmospheric neutral mass density (NMD) and wind are critical to understand the...
Aims: The semi-empirical Drag Temperature Models (DTM) calculate the Earth’s upper atmosphere’s temp...
Accelerometer-derived neutral mass density (NMD) is an important quantity that describes the variabi...
Accurate determination of thermospheric neutral density holds crucial importance for satellite drag ...
The Low Earth Orbit (LEO) region has been attractive to many space agencies and organisations becaus...
Ultra-sensitive space-borne accelerometers on board of low Earth orbit (LEO) satellites are used to ...
We present new neutral mass density and crosswind observations for the CHAMP, GRACE, and GRACE-FO mi...
In this paper, a new data-driven method is demonstrated for real-time neutral density estimation via...
The uncertainty in thermospheric neutral density (TND) estimates is one of the largest and persisten...
Quantifying spatial and temporal changes in thermospheric neutral density is important for various a...
TND-IGG RL01: This dataset is the first release of thermospheric neutral densities (TND) processed a...
Global estimation of thermospheric neutral density (TND) on various altitudes is important for geode...
The uncertainty on Thermospheric Mass Density (TMD), as derived from atmospheric models, can reach e...
The specification and prediction of density fluctuations in the thermosphere, especially during geom...
The thermosphere is located above the mesosphere and below the exosphere, and its highly ionized sta...
Observations of upper atmospheric neutral mass density (NMD) and wind are critical to understand the...
Aims: The semi-empirical Drag Temperature Models (DTM) calculate the Earth’s upper atmosphere’s temp...
Accelerometer-derived neutral mass density (NMD) is an important quantity that describes the variabi...
Accurate determination of thermospheric neutral density holds crucial importance for satellite drag ...
The Low Earth Orbit (LEO) region has been attractive to many space agencies and organisations becaus...
Ultra-sensitive space-borne accelerometers on board of low Earth orbit (LEO) satellites are used to ...
We present new neutral mass density and crosswind observations for the CHAMP, GRACE, and GRACE-FO mi...
In this paper, a new data-driven method is demonstrated for real-time neutral density estimation via...