High Accuracy Satellite Drag Model (HASDM)

Storz, M.; Bowman, Bruce R.; Branson, J.

doi:10.2514/6.2002-4886

Cited by 108 publications

(118 citation statements)

References 6 publications

Supporting

Mentioning

117

Contrasting

Order By: Relevance

“…These projects were inspired by publications about the US Air Force Space Command's HASDM project [e.g., Storz et al, 2002;Casali and Barker, 2002]. The US researchers demonstrated the successful application of the concept of empirical density model calibration, in which density observations derived from satellite tracking data are used to compute corrections to empirical density models, at regular time intervals.…”

Section: Objectives and Motivations Of The Esa Studiesmentioning

confidence: 99%

Thermospheric Density and Wind Determination from Satellite Dynamics

Doornbos¹

2012

Springer Theses

159

212

View full text Add to dashboard Cite

Section: Objectives and Motivations Of The Esa Studiesmentioning

confidence: 99%

Thermospheric Density and Wind Determination from Satellite Dynamics

Doornbos¹

2012

Springer Theses

159

212

View full text Add to dashboard Cite

“…Bowman et al [2008] validated this conjecture by comparing Dst-based predictions of T ∞ SW (t) and r th (h, t) with values inferred from accelerometers on the GRACE and Challenging Minisatellite Payload (CHAMP) satellites during magnetic storms in 2004 and 2005 as well as with densities obtained from the drag exerted on 75 LEO reference satellites. The latter information is encapsulated in the High Accuracy Satellite Determination Model (HASDM) [Casali et al, 2002;Storz et al, 2002]. Using Dst as a driver, Bowman et al [2008] demonstrated that predicted storm time density errors fell from >65% to about 15% with respect to HASDM predictions.…”

Section: Introductionmentioning

confidence: 99%

Solar cycle dependence of solar wind energy coupling to the thermosphere

Burke

2011

J. Geophys. Res.

View full text Add to dashboard Cite

[1] Solutions to the differential equations describing the behavior of driven-dissipative systems are compared with measured exospheric temperatures (T ∞ ) and provisional Dst indices acquired during 38 magnetic storms between mid-2002 and 2008. The only storm selection criterion was the availability of solar wind and interplanetary magnetic field data to compute driving electric fields " VS . Globally averaged T ∞ was inferred from measurements by accelerometers on the GRACE satellites. Statistical regression analyses indicate that the coupling coefficients for T ∞ , Dst, and their ratio are well represented as functions of 81 day averaged F 10.7a . Using Dst as the driver, this functional relationship yielded reasonable estimates of the evolution of T ∞ during the Halloween 2003 magnetic storm. Linear relations between T ∞ and the total energy of the thermosphere (E th ) and between Dst and the energy of the ring current (E RC ) allow estimates of the storm time energy partitioning. Empirical estimates of the energy coupling coefficients for the thermosphere (a E ) and ring current (a ERC ) span the ranges 1.5-0.2 and 0.5-0.2 TW/mV/m, respectively. Outside of extreme solar minimum conditions, main phase increases in E th exceed those of E RC.

show abstract

“…Bowman et al [2008] [Storz et al, 2002]. Bowman et al [2008] concluded that the Dst index is a more accurate parameter than ap for estimating the thermospheric states during large magnetic storms and that it should be considered as a replacement in operational models.…”

Section: Introductionmentioning

confidence: 99%

EstimatingDstindices and exospheric temperatures from equatorial magnetic fields measured by DMSP satellites

et al. 2011

View full text Add to dashboard Cite

[1] We explore the feasibility of using variations in the horizontal component (DB H ) of the Earth's magnetic field as measured by DMSP satellites while crossing the dip equator to estimate the provisional Dst index and the state of the thermosphere in near real time. Equatorial crossings are identified as locations where the vertical component of the main field measured by DMSP satellites vanishes. Local differences between measured and IGRF (epoch 2005) horizontal components (dB H ) were calculated for the years 2005 to 2009. Each year quiet time (0 ≥ Dst ≥ -7 nT) subsets of dB H were identified to establish offset baselines (dB H B ) as functions of longitude along the magnetic equator ( eq ) for each spacecraft. Year-to-year changes in dB H B reflect variations of the Earth's main field, indicating that baseline calculations must be updated at regular intervals for each spacecraft. Running-averaged values of DB H (t) = dB H ( eq , t) − dB H B ( eq , t) inferred from combined DMSP F16 and F17 data streams are shown to follow variations in Dst during the test interval. The method is also shown to apply during the magnetic superstorms of late 2003. Except during the late main phase, increases in globally averaged exospheric temperatures inferred from DB H and provisional Dst time series are in reasonable agreement with those inferred from measurements by accelerometers on the GRACE satellites.

show abstract

High Accuracy Satellite Drag Model (HASDM)

Cited by 108 publications

References 6 publications

Thermospheric Density and Wind Determination from Satellite Dynamics

Thermospheric Density and Wind Determination from Satellite Dynamics

Solar cycle dependence of solar wind energy coupling to the thermosphere

EstimatingDstindices and exospheric temperatures from equatorial magnetic fields measured by DMSP satellites

Contact Info

Product

Resources

About