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Wind 3DP Weimer Propagated 60 s Resolution in GSE Coordinates

(2006). Wind 3DP Weimer Propagated 60 s Resolution in GSE Coordinates [Data set]. University of California, Los Angeles. https://doi.org/10.21978/p8zs72. Accessed on .

Note: Proper references, including those in BibTex or other formats, should include the "Accessed on date" as shown above to identify the version of the resource being cited in a given publication.

ResourceID
spase://NASA/NumericalData/Weygand/Wind/3DP/Propagated.3DP/GSE/PT60S

Description

Wind 3DP propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.odoy.odoy + 0.000576303146.odoy + 0.679940509 + 0.3215cos(2pi(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.

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Details

Version:2.3.2

NumericalData

ResourceID
spase://NASA/NumericalData/Weygand/Wind/3DP/Propagated.3DP/GSE/PT60S
ResourceHeader
ResourceName
Wind 3DP Weimer Propagated 60 s Resolution in GSE Coordinates
AlternateName
Wind 3DP data
DOI
https://doi.org/10.21978/p8zs72
ReleaseDate
2021-05-31 12:34:56.789
RevisionHistory
RevisionEvent
ReleaseDate
2021-05-31 12:34:56.789
Note
Updated to SPASE Version 2.3.2 if needed, Applied quality control for DOI usage, LFB
Description

Wind 3DP propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of propagated solar wind data that has first been propagated to a position just outside of the nominal bow shock (about 17, 0, 0 Re) and then linearly interpolated to 1 min resolution using the interp1.m function in MATLAB. The input data for this data set is a 1 min resolution processed solar wind data constructed by Dr. J.M. Weygand. The method of propagation is similar to the minimum variance technique and is outlined in Dan Weimer et al. [2003; 2004]. The basic method is to find the minimum variance direction of the magnetic field in the plane orthogonal to the mean magnetic field direction. This minimum variance direction is then dotted with the difference between final position vector minus the original position vector and the quantity is divided by the minimum variance dotted with the solar wind velocity vector, which gives the propagation time. This method does not work well for shocks and minimum variance directions with tilts greater than 70 degrees of the sun-earth line. This data set was originally constructed by Dr. J.M. Weygand for Prof. R.L. McPherron, who was the principle investigator of two National Science Foundation studies: GEM Grant ATM 02-1798 and a Space Weather Grant ATM 02-08501. These data were primarily used in superposed epoch studies References: Weimer, D. R. (2004), Correction to ‘‘Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique,’’ J. Geophys. Res., 109, A12104, doi:10.1029/2004JA010691. Weimer, D.R., D.M. Ober, N.C. Maynard, M.R. Collier, D.J. McComas, N.F. Ness, C. W. Smith, and J. Watermann (2003), Predicting interplanetary magnetic field (IMF) propagation delay times using the minimum variance technique, J. Geophys. Res., 108, 1026, doi:10.1029/2002JA009405. There are now two version of this data set. An off set has been found in the Wind MFI Bz component that is present after November 2004. Version 2 has this offset removed. Prof. R.L. McPherron determined the correction to be Bz = Bz - (-0.000000130406219.odoy.odoy + 0.000576303146.odoy + 0.679940509 + 0.3215cos(2pi(doy-171)/366)) where doy is the day of the year in units of days and odoy is the days sinces Jan 1, 1999 00:00:00 UT in units of days.

Acknowledgement
NASA;Robert.P.Lin
PublicationInfo
Authors
Weygand, James M.; & McPherron, Robert L.
PublicationDate
2006-01-01 00:00:00
PublishedBy
University of California, Los Angeles
Contacts
RolePersonStartDateStopDateNote
1.PrincipalInvestigatorspase://SMWG/Person/Robert.P.Lin
2.MetadataContactspase://SMWG/Person/James.M.Weygand
InformationURL
Name
Wind 3DP Instrument
URL
Description

Wind 3DP

InformationURL
Name
Solar Wind Propagation Information
URL
Description

Solar wind archive at UCLA. This archive provides a list of available data resources and available time ranges.

PriorIDs
spase://VMO/NumericalData/Weygand/Wind/3DP/Propagated.3DP/GSE/PT60S
spase://VSPO/NumericalData/Weygand/Wind/3DP/Propagated.3DP/GSE/PT60S
AccessInformation
RepositoryID
Availability
Online
AccessRights
Open
AccessURL
Name
IGPP UCLA ISEE SWE Data JMW Propagateded Archive
URL
Format
Text
Encoding
ASCII
Acknowledgement
NASA;Ronald.P.Lepping;James.M.Weygand
ProcessingLevel
Calibrated
ProviderResourceName
Wind 3-D Plasma and Energetic Particle Investigation
ProviderProcessingLevel
Level-2
InstrumentIDs
MeasurementType
ThermalPlasma
TemporalDescription
TimeSpan
StartDate
1995-01-01 00:00:00.000
RelativeStopDate
-P1Y
Note
Time format in data files is: Day Month Year Hour Minute Second (DD MM YYYY HH MM SS.SSS)
Caveats
There are now two versions of the Wind MFI data. Version 2 has an offset removed in the WIND MFI Bz component, which appeared after November 2004. Version 2 of the data was released October 22, 2011.
Keywords
1 min
solar wind
magnetotail
bow shock
magnetopause
3DP
plasma data
Wind
Propagated solar wind data
1 min
solar wind
magnetotail
bow shock
magnetopause
3DP
plasma data
Wind
Propagated solar wind data
Parameter #1
Name
Universal Time
ParameterKey
Time
Description

Universal Time AFTER Propagation columns from left to right are: day month year hour minute sec in the format of dd mm yyyy hh mm ss.

Cadence
PT60S
Structure
Size
6
Description

Universal Time expressed using a 6-column day, month, year, hour, minute, second representation

Element
Name
Day
Index
1
ParameterKey
Day
Element
Name
Month
Index
2
ParameterKey
Month
Element
Name
Year
Index
3
ParameterKey
Year
Element
Name
Hour
Index
4
ParameterKey
Hour
Element
Name
Minute
Index
5
ParameterKey
Minute
Element
Name
Second
Index
6
ParameterKey
Second
Support
SupportQuantity
Temporal
Parameter #2
Name
Wind 3DP Thermal Speed Weimer Propagated 1 min Resolution Data in GSE Coordiates
ParameterKey
Thermal Speed
Description

Weimer propagated Wind 3DP thermal speed in GSE coordinates in units of km/s.

Caveats
Be sure you understand the instrument
Cadence
PT60S
Units
KM/S
Particle
ParticleType
Ion
ParticleQuantity
ThermalSpeed
Parameter #3
Name
Wind 3DP Density Weimer Propagated 1 min Resolution Data in GSE Coordiates
ParameterKey
Density
Description

Weimer propagated density data for Wind 3DP in GSE coordinates in units of number per cubic centimeter.

Cadence
PT60S
Units
#/cm^-3
Particle
ParticleType
Ion
ParticleQuantity
NumberDensity
Parameter #4
Name
Wind 3DP Velocity Vector Weimer Propagated 1 min Resolution Data in GSE Coordiates
ParameterKey
Velocity Vectors
Description

Weimer propagated Flow vector for Wind 3DP in GSE coordinates in units of km/s.

Caveats
Be sure you understand the instrument
Cadence
PT60S
Units
KM/S
CoordinateSystem
CoordinateRepresentation
Cartesian
CoordinateSystemName
GSE
Structure
Size
3
Element
Name
VX-GSE
Qualifier
Component.I
Index
1
ParameterKey
pvxgse
Element
Name
VY-GSE
Qualifier
Component.J
Index
2
ParameterKey
pvygse
Element
Name
VZ-GSE
Qualifier
Component.K
Index
3
ParameterKey
pvzgse
Particle
ParticleType
Ion
ParticleQuantity
Velocity
Parameter #5
Name
Wind Spacecraft Weimer Propagated Position Vector Interpolated to 1 min Resolution in GSE Coordiates
ParameterKey
Position Vectors
Description

Weimer propagated location of the spacecraft in GSE coordinates in units of Re.

Cadence
PT60S
Units
Re
CoordinateSystem
CoordinateRepresentation
Cartesian
CoordinateSystemName
GSE
Structure
Size
3
Element
Name
X-GSE
Qualifier
Component.I
Index
1
ParameterKey
pxgse
Element
Name
Y-GSE
Qualifier
Component.J
Index
2
ParameterKey
pygse
Element
Name
Z-GSE
Qualifier
Component.K
Index
3
ParameterKey
pzgse
Support
SupportQuantity
Positional