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1) | ISEE 1 FPE plasma parameters, 6 Re to bow shock | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/FPE/PT1M | ||||||||||||||||||

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TBD |

2) | ISEE 1 Solar Wind Analyzer 24-s Plasma Parameters | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/FPE/PT24S | ||||||||||||||||||

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This data set contains 24s (fast data rate) or 48s (slow rate) solar wind ion plasma parameters obtained during 1977-1983 solar wind seasons (~July - ~January) when the spacecraft's local time of apogee was on the Earth's dayside. Plasma parameters include ion density, flow speed, flow longitude and latitude angles, perpendicular (minimum) and parallel (maximum) temperatures, and alpha-to-proton density ratio. Data are available through the CDAWeb interface and, as daily files via ftp, in ASCII from nssdcftp and in CDF from CDAWeb's ftp area. The data are from LANL's Cross-Fan Solar Wind Ion Experiment, a companion to LANL's Fast Plasma Analyzer (FPE). |

3) | ISEE 1 magnetometer 1-min data at CDAWeb | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/MAG/PT1M | ||||||||||||||||||

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This data set contains magnetic field component and magnitude averages every minute, with components given in spacecraft, GSE and GSM coordinates. Standard deviations in the averages are given, as are differences between the averages and model field vectors. Geocentric (GSE and GSM) spacecraft position information is given, as is ISEE1-ISEE2 separation vector information. ISEE 1 spin vector direction and ISEE 1 velocity vector information, relative to the Earth and to ISEE 2, are given. Miscellaneous other parameters are also given. Data are accessible as plots, lists and files from CDAWeb, and as CDF files from CDAWeb's ftp area. |

4) | ISEE 1 magnetometer 4-sec data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/MAG/PT4S | ||||||||||||||||||

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4-sec vector magnetic field values recorded by the NASA ISEE-1 satellite, in spacecraft coordinates (close to GSE), available from UCLA and CDAWeb value-added interfaces and, via ftp, in binary from UCLA and in CDF from CDAWeb. (This descriptor updated, 6/20110, by J.King, to reflect CDAWeb accessibility and to insert CDAWeb parameter keys.) |

5) | ISEE 1 VES Electron Data at 9s or 18s | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE1/VES/PT18S | ||||||||||||||||||

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This data set, held in CDAWeb as ISEE1_H0_FE, contains electron moments from the Vector Electron Spectrometer (VES), and spacecraft position vectors, at 9s or 18s resolution, depending on spacecraft telemetry rate. The data set also holds 1-min averages of the measured magnetic field vector. Electron moments include density, flow velocity, temperature and its anisotropy, and heat flux vector. Also given are the pressure tensor, its diagonalizing eigenvector, and the angle between its principal axis and the ambient magnetic field vector. These parameters are based on distributions accumulated in 3 sec but telemetered over 9s or 18s. Ancillary information given includes the spacecraft spin period, the spacecraft potential, the energy channels above this potential on which the moments for this record were based, and on/off flags for the Harvey and Mozer experiments. |

6) | ISEE 2 FPE plasma parameters, 6 Re to bow shock | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE2/FPE/PT1M | ||||||||||||||||||

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TBD |

7) | ISEE 2 magnetometer 1-min data at CDAWeb | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE2/MAG/PT1M | ||||||||||||||||||

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This data set contains magnetic field component and magnitude averages every minute, with components given in spacecraft, GSE and GSM coordinates. Standard deviations in the averages are given, as are differences between the averages and model field vectors. Geocentric (GSE and GSM) spacecraft position information is given, as is ISEE1-ISEE2 separation vector information. ISEE 2 spin vector direction and ISEE 2 velocity vector information, relative to the Earth and to ISEE 1, are given. Miscellaneous other parameters are also given. Data are accessible as plots, lists and files from CDAWeb, and as CDF files from CDAWeb's ftp area. |

8) | ISEE 2 magnetometer 4-sec data | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/ISEE2/MAG/PT4S | ||||||||||||||||||

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4-sec vector magnetic field values recorded by the ESA ISEE-2 satellite, in spacecraft coordinates (close to GSE), available from UCLA and CDAWeb value-added interfaces and, via ftp, in binary from UCLA and in CDF from CDAWeb. (This descriptor updated, 6/20110, by J.King, to reflect CDAWeb accessibility and to insert CDAWeb parameter keys.) |

9) | ISEE 3 Elemental Abundance Ratios | |||||||||||||||||
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Resource ID:spase://VEPO/NumericalData/ISEE3/ElemAbun | ||||||||||||||||||

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This ASCII file contains values and their uncertainties for 25 abundance ratios of various pairs of chemical elements. The ratios are based on 1978-1981 observations of ~50-500 MeV/n cosmic rays by the U. Chicago cosmic ray experiment on ISEE 3. Each of the ratios is linked in the ASCII file to the publication where its derivation is discussed. |

10) | ISEE 3 12-min Trajectory Data | |||||||||||||||||
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Resource ID:spase://VEPO/NumericalData/ISEE3/Ephemeris/PT12M | ||||||||||||||||||

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ISEE 3 positions. |

11) | ISEE 3 Isotopic Abundance Ratios | |||||||||||||||||
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Resource ID:spase://VEPO/NumericalData/ISEE3/IsotAbun | ||||||||||||||||||

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This data product consists of a single ASCII file containing values and their uncertainties for 32 abundance ratios of various pairs of isotopes of 13 chemical elements (C, O, Ne, Mg, Al, Si, Ti, V, Cr, Mn, Fe, Co, Ni). Between this data product and a companion catalog with isotopic fractions, isotopic composition information is given for 21 chemical elements. The ratios are based on 1978-1981 observations of ~50-500 MeV/n cosmic rays by the U. Chicago cosmic ray experiment on ISEE 3. Each of the ratios is linked in the ASCII file to the publication where its derivation is discussed. |

12) | ISEE 3 Isotopic Fractions | |||||||||||||||||
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Resource ID:spase://VEPO/NumericalData/ISEE3/IsotFrac | ||||||||||||||||||

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This data product consists of a single ASCII file containing values and their uncertainties for isotopic fractions of 56 specific isotopes relative to isotope-integrated elemental abundances, for 15 elements (Be, B, N, S, Cl, Ar, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni). Between this data product and a companion product with isotopic abundance ratios, isotopic composition information is given for 21 chemical elements. The fractions are based on 1978-1981 observations of ~50-500 MeV/n cosmic rays by the U. Chicago cosmic ray experiment on ISEE 3. Each of the ratios is linked in the ASCII file to the publication where its derivation is discussed. |

13) | ISEE-3 Radio Mapping Experiment Demodulated - 1.5 sec resolution | |||||||||||||||||
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Resource ID:spase://VWO/NumericalData/ISEE3/RadioMapping/DEMOD.PT1.5S | ||||||||||||||||||

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The following is extracted from "User Guide for ISEE-3 Radio Mapping Experiment CD-ROM Data" the original document is available via the Information URL below. The ISEE-3 Radio Mapping Experiment is designed to detect and measure radio bursts from the Sun, the interplanetary medium, and the Earth's magnetosphere, at frequencies from 30 kHz to 2 MHz. It is a collaboration of the Observatory of Paris-Meudon and the Goddard Space Flight Center; the Principal Investigator is Jean-Louis Steinberg. The experiment determines the direction of sources and estimates their apparent angular sizes using two dipole antennas. One dipole, the shorter of the two, is along the spin axis of the satellite, while the second dipole is perpendicular to the spin axis and is therefore carried around by the rotation of the satellite. Each of the monopoles making up the spin-axis dipole can be extended to 7m, whereas each monopole making up the dipole in the spin plane is 45m long. The signal received by the spinning dipole is modulated, being strongest when the dipole is perpendicular to the direction of the source. The phase of the spin modulation provides information on the direction of the source, projected onto the plane in which the dipole is spinning, and the amplitude of the modulation determines the angular size of the source as a function of its elevation above or below the spin plane. The additional information provided by the spin-axis dipole helps determine whether the source is above or below the spin plane, and its elevation. Detailed Description of the Data Acquisition The experiment is designed to make a series of measurements at each frequency (listed in Table 2-1), covering one-half spin. Such a series is called a step. The specifics of the data are described below. In this document, the spin-axis dipole is called the Z-dipole, because the spin axis is labeled the z-axis of the satellite-based coordinate system. The other dipole is called the S-dipole, because it is spinning. ISEE-3 has two spinning dipoles, called U and V. Only the V dipole was used to acquire radio data. Table 2-1. ISEE-3 Radio Mapping Experiment Frequencies +------------------------------------+ | Channel | Receiver Freq. (Khz) | | No. | Broad | Narrow | |===========|=========|==============| | 1 |1980 | 1000 | | 2 |1000 | 466 | | 3 | 513 | 290 | | 4 | 360 | 188 | | 5 | 233 | 145 | | 6 | 160 | 110 | | 7 | 123 | 80 | | 8 | 94 | 66 | | 9 | 72 | 56 | | 10 | 60 | 47 | | 11 | 50 | 36 | | 12 | 41 | 30 | +------------------------------------+ Demodulating the data The direction to the source and the source strength are determined from the spin-modulated S samples and the Z sample by the procedure described in the following section. The linear least-squares solution provides a despun source amplitude A, which is its maximum amplitude, observed when the S dipole is "broadside" to the source, the azimuth angle with respect to the Sun of the source center in the spin plane, and a measure of the modulation of the source due to the changing orientation of the S dipole, called alpha. The standard deviation of the least-squares fit and the uncertainties in the three parameters are also calculated. Comparison of the Z sample and A with the modulation index alpha permits to evaluate the source radius and its elevation from the spin plane. Data file contents There are 3 different sets of data files that are of potential interest to new users - 1.5 sec modulated data, 108 second averages, and 1.5 sec demodulated data. The 1.5 sec modulated data files contain individual data samples, calibrated in units of antenna temperature. The spin modulation has not been removed from these files. The 108 sec average files are simple averages of the 1.5 sec modulated data as a function of frequency. (Note that the average is done in log space, I.e., mean(log(antenna temperature)).) Finally, the 1.5 sec demodulated data file contains the parameters A, alpha, and azimuth. The demodulated data file is the file that most users will want to use. Contents of the ISEE-3 Radio 1.5 sec DEMOD Record +--------------------------------------------------------------------+ | VARIABLE | DIM| # | DESCRIPTION | |==========|====|=======|============================================| |MDATE | | |Julian date of record (YYDDD) | |MHMS | | |Time of midpoint of record in hhmmss | |MSEC | | |Time of midpoint or record in msecs | |NFREQ | | |Frequency channel 1-12 | |ADSP |4 |1 |Despun SB amplitude (or SN for Mode3) | | |2 | |Despun SN amplitude if mode 1 | | |3 | |Log of SB as log TA | | |4 | |Log SN if mode 1, else 0 | |ALPHA |2 |1 |Modulation Index for B(or N if mode3) | | | |2 |Modulation Index for N if mode 1, else 0 | |PHI |2 | |Source longitude(increasing to west of sun) | | | | |for B, N in degrees (-90 - 90) | |Z |4 | |Average Z amplitude - elements as for ADSP | |PHASE |2 | |Phase(volts) for the first input record used| | | | |in group for B, N(or both B for mode 2, both| | | | |N for mode 3) | |PHANG |2 | |Phase sun angle for B,N in radians | |ELEV |2 | |Calculated elevation angle for B,N | |RAD |2 | |Calculated source radius for B,N in degrees | |BW |4 |1 |Background value used for SB in calculating | | | | |ELEV and RAD | | | |2 |Background value used for SN (mode 1) | | | |3 |Background value used for ZB | | | |4 |Background value for ZN if mode 1 | |ST |2 | |Fractional standard deviations of least | | | | |squares fit for B,N | |SIGA |3x2 | |Uncertainties in parameters for least | | | | |squares fit | | | |1x |Uncertainty in mean SB, SN amplitude | | | |2x |Uncertainty in alpha for B,N | | | |3x |Uncertainty in PHI for B, N in degrees | |NSAMP | | |Number of S samples in fit | |IQUAL |2 | |Quality of analysis B, N | |KDATE | | |Julian date of processing | |MODE | | |Data mode | |SPINP | | |Spin period in msec | |GSE |3 | |XYZ coordinates Geocentric solar ecliptic | | | | |in meters | |SPARE |10 | |Spares | +--------------------------------------------------------------------+ |

14) | ISEE-1 Linearly Interpolated 60 s Resolution Fast Plasma Experiment data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment data linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

15) | ISEE-1 Linearly Interpolated 60 s Resolution Fast Plasma Experiment data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment data linearly interpolated to have the measurements on the minute at 60 s resolution data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

16) | ISEE-1 Fast Plasma Experiment Solar Wind Weimer Propagated 60 s Resolution Data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Fast Plasma Experiment Weimer 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. |

17) | ISEE-1 Fast Plasma Experiment Solar Wind Weimer Propagated 60 s Resolution Data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/FPE/Propagated.FPE/GSM/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution FPE data in GSM 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. |

18) | ISEE-1 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-1 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

19) | ISEE-1 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-1 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

20) | ISEE-1 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer 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. |

21) | ISEE-1 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/MAG/Propagated.FPE/GSM/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSM 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. |

22) | ISEE-1 Solar Wind Weimer Propagation Details at 1 min Resolution | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE1/TAP/Propagated.FPE/GSE/PT60S | ||||||||||||||||||

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ISEE-1 Weimer propagated solar wind data and linearly interpolated time delay, cosine angle, and goodness information of propagated data at 1 min Resolution. 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. |

23) | ISEE-2 Fast Plasma Experiment Linearly Interpolated 60 s Resolution data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/FPE/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-2 Fast Plasma Experiment linearly interpolated to have the measurements on the minute at 60 s resolution data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

24) | ISEE-2 Fast Plasma Experiment Linearly Interpolated 60 s Resolution data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/FPE/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-2 Fast Plasma Experiment linearly interpolated to have the measurements on the minute at 60 s resolution data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

25) | ISEE-2 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/MAG/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-2 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

26) | ISEE-2 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE2/MAG/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-2 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

27) | ISEE-3 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/MAG/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

28) | ISEE-3 Linearly Interpolated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/MAG/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

29) | ISEE-3 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/MAG/Propagated.SWP/GSE/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer 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. |

30) | ISEE-3 Weimer Propagated 60 s Resolution Tri-axial Fluxgate Magnetometer in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/MAG/Propagated.SWP/GSM/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution tri-axial fluxgate magnetometer data in GSM 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. |

31) | ISEE-3 Linearly Interpolated 60 s Resolution Solar Wind Plasma data in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Processed/GSE/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma data in GSE coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

32) | ISEE-3 Linearly Interpolated 60 s Resolution Solar Wind Plasma data in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Processed/GSM/PT60S | ||||||||||||||||||

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ISEE-3 linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma data in GSM coordinates. This data set consists of processed solar wind data that has been linearly interpolated to 1 min resolution at the position of the spacecraft using the interp1.m function in MATLAB. 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 and cross correlation studies on solar wind. |

33) | ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSE Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Propagated.SWP/GSE/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma 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. |

34) | ISEE-3 Solar Wind Plasma Weimer Propagated 60 s Resolution in GSM Coordinates | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/SWP/Propagated.SWP/GSM/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated to have the measurements on the minute at 60 s resolution solar wind plasma data in GSM 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. |

35) | ISEE-3 Solar Wind Weimer Propagation Details at 1 min Resolution | |||||||||||||||||
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Resource ID:spase://VMO/NumericalData/Weygand/ISEE3/TAP/Propagated.SWP/GSE/PT60S | ||||||||||||||||||

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ISEE-3 Weimer propagated solar wind data and linearly interpolated time delay, cosine angle, and goodness information of propagated data at 1 min Resolution. 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. |

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