2010
DOI: 10.1007/s11207-010-9529-0
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Inclusion of In-Situ Velocity Measurements into the UCSD Time-Dependent Tomography to Constrain and Better-Forecast Remote-Sensing Observations

Abstract: The University of California, San Diego (UCSD) three-dimensional (3-D) timedependent tomography program has been used successfully for a decade to reconstruct and forecast coronal mass ejections from interplanetary scintillation observations. More recently, we have extended this tomography technique to use remote-sensing data from the Solar Mass Ejection Imager (SMEI) on board the Coriolis spacecraft; from the Ootacamund (Ooty) radio telescope in India; and from the European Incoherent SCATter (EISCAT) radar t… Show more

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Cited by 26 publications
(28 citation statements)
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“…The result is a better determined prediction of the change from current in situ plasma conditions. Additionally, we found [ Jackson et al ., ] that this provided a globally more uniform time‐dependent reconstruction. Considering a column extending from the sub‐Earth point on the Sun to the Earth, the results match in situ values of velocity and density well, all the while maintaining the kinematic mass and mass flux conservation.…”
Section: Tomographic Analysis and Field Extrapolation Using A Sample mentioning
confidence: 99%
See 1 more Smart Citation
“…The result is a better determined prediction of the change from current in situ plasma conditions. Additionally, we found [ Jackson et al ., ] that this provided a globally more uniform time‐dependent reconstruction. Considering a column extending from the sub‐Earth point on the Sun to the Earth, the results match in situ values of velocity and density well, all the while maintaining the kinematic mass and mass flux conservation.…”
Section: Tomographic Analysis and Field Extrapolation Using A Sample mentioning
confidence: 99%
“…IPS data used in the present paper are from the Solar Terrestrial Environment Laboratory (STELab), now called the Institute for Space‐Earth Environmental Research (ISEE), Japan [ Kojima and Kakinuma , ]. To further refine these results, the analyses are fit to near‐Earth in situ measurements of plasma velocities and densities [ Jackson et al ., , ]. Global heliospheric results are calculated for Carrington rotation time intervals (27 days).…”
Section: Introductionmentioning
confidence: 99%
“…Early considerations using IPS observations led us to develop an analysis tool that directly addresses the LOS problem for IPS measurements in order to locate heliospheric structures in 3D (Jackson et al 1998(Jackson et al , 2003Jackson et al 2010Jackson et al , 2011. This tool explicitly takes into account the 3D extent of heliospheric structures, including the fact that the greatest contribution is from material closest to the Sun, but without any explicit assumption about the distribution of velocity and density along these lines of sight.…”
Section: Analysis Techniquesmentioning
confidence: 99%
“…Best fit is achieved iteratively: when the modeled 3D solar wind at a large solar distance does not match the overall observations, the source surface values are altered to minimize the deviations. These global heliospheric analyses also iteratively match hour-averaged in situ data at Earth to provide a normalization of the two parameters that are mapped globally in the solar wind (Jackson et al 2010(Jackson et al , 2013. Figure 2 is an example of the Carrington-rotation interval 2056 (CR2056) velocity at Earth from our 3D reconstruction analysis using STELab IPS data from 2007 April and May.…”
Section: Analysis Techniquesmentioning
confidence: 99%
“…As an alternative, in Bisi et al (2013) remote-sensing radio observatios of Interplanetary Scintillation (IPS) are used to probe the inner heliosphere and to identify density irregularities in the solar wind. When enhanced by the UCSD timedependent tomography technique (Jackson et al, 2010). Harrison et al (2017) provides an extensive review on how heliospheric imaging can be used to improve our space weather forecasts.…”
Section: Introductionmentioning
confidence: 99%