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Seasonal and local time variation in the observed peak of the meteor altitude distributions by meteor radars

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/12533627
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These uploaded datasets support and appear in the the paper entitled "Seasonal and local time variation in the observed peak of the meteor altitude distributions by meteor radars" prepared by:   E.C.M. Dawkins1,2, D. Janches1, G. Stober3, J.D. Carrillo-Sánchez1,2, R.S. Lieberman1, C. Jacobi4, T. Moffat-Griffin5, N.J Mitchell5,6, N. Cobbett5, P.P.Batista7, V.F. Andrioli7,8, R.A. Buriti9, D.J. Murphy10, J. Kero11, N. Gulbrandsen12, M. Tsutsumi13,14, A. Kozlovsky15, M. Lester16, J.-H. Kim17, C. Lee17, A. Liu18, B. Fuller19, D. O’Connor19, S.E. Palo20, M.J. Taylor21, J.Marino22, and N. Rainville20.   1 ITM Physics Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, U.S.A. 2 Department of Physics, Catholic University of America, DC, U.S.A. 3 University Bern, Institute of Applied Physics, Microwave Physics, Bern, Switzerland 4 Institute for Meteorology, Leipzig University, Germany 5 British Antarctic Survey, Cambridge, U.K. 6 University of Bath, Bath, U.K. 7 National Institute for Space Research (INPE), São José dos Campos, SP, Brazil 8 China-Brazil Joint Laboratory for Space Weather, NSSC/INPE, São José dos Campos, SP, Brazil 9 Department of Physics, Federal University of Campina Grande, Campina Grande, PB, Brazil 10 Australian Antarctic Division, Kingston, TAS, Australia 11 Swedish Institute of Space Physics (IRF), Kiruna, Sweden 12 Tromsø Geophysical Observatory, UiT - The Arctic University of Norway, Tromsø, Norway 13 National Institute of Polar Research, Tachikawa, Japan 14 The Graduate University for Advanced Studies (SOKENDAI), Tokyo, Japan 15 Sodankylä Geophysical Observatory, University of Oulu, Finland 16 Department of Physics and Astronomy, University of Leicester, Leicester, U.K. 17 Division of Atmospheric Sciences, Korea Polar Research Institute, Incheon, S. Korea 18 Center for Space and Atmospheric Research and Department of Physical Sciences, Embry-Riddle Aeronautical University, Daytona Beach, Florida, U.S.A. 19 Genesis Software, Pty Ltd., Adelaide, SA, Australia 20 Colorado Center for Astrodynamics Research (CCAR), Ann and H.J. Smead Aerospace Engineering Sciences, College of Engineering and Applied Sciences, University of Colorado Boulder, Boulder, CO, U.S.A. 21 Department of Physics, Utah State University, Logan, UT, U.S.A 22 University of Colorado at Boulder, Boulder, CO, U.S.A     The datasets below are titled according to the figure in which they are used (e.g. "Fig3" for Figure 3, "Fig4" for Figure 4).All uploaded datasets comprised of ASCII files.Dataset descriptions: Figure 3 datasets (18 files in total): Each of the 18 different files corresponds to a different meteor radar station (SVA, TRO, KIR, SOD, COL, BLO, CAR, ASI, LEA, CPa, SMa, CON, TdF, KEP, KSS, ROT, DAV, MCM). Within each file, the data comprise of peak meteor altitudes (km) as a function of local time (24) and day-of-year (DOY).  Figure 4 datasets (18 files in total): As above, but the data now represent the weighted elevation angle in degrees. Figure 5 datasets (24 files in total): These data can be used to plot the residual seasonal variation in peak altitude for each of the 18 locations, organized by geographic clusters. There are 24 different Figure 5 datasets, with each including the normalized residual seasonal variation in peak altitude (km) for stations within one of six different geographic clusters (Nordic high-latitude, Northern mid-latitude, Near-equatorial, Southern low/mid-latitude, Southern Andes, Mainland Antarctica) for each local time (00:00 LT, 06:00 LT, 12:00 LT, or 18:00 LT). Each file includes the data for all stations within that given cluster (i.e., "Fig5__Mainland_Antarctica__06LT__Dawkins_et_al_2024.tex" includes data for the Mainland Antarctica cluster (both DAV and MCM) for 06:00 LT), as a function of day-of-year (365) and normalized altitue (km). Figure 6 datasets (4 files in total): These data represent the mean absolute deviation (MAD, km) of each of the different geographic clusters as function of DOY (365) for four different local times (00:00 LT, 06:00 LT, 12:00 LT, and18:00 LT). Figure 7 datasets (14 files in total): These files present the kinetic gravity wave energy (KGWE) as a function of day-of-year and altitude (km). 12 of the files correspond to one of the following locations: SVA, TRO, KIR, SOD, COL, BLO, CON (ALO only), TdF, KEP, KSS, ROT or DAV. There are two additional files ("Fig7__KGWE__time__Dawkins_et_al_2024.txt" and  "Fig7__KGWE__altitude__Dawkins_et_al_2024.txt") which include the time (day-of-year) and altitudes (km) used. Figure 8 datasets (2 files in total): These two files ("Fig8__CABMOD_profiles__data__Dawkins_et_al_2024.txt" and "Fig8__CABMOD_profiles__altitude__Dawkins_et_al_2024.txt") include the data necessary to reproduce all panels in Figure 8 which shows the vertical mass profiles from CABMOD for a meteoric particle with a fixed initial mass (178 μg) and velocity (31 kms−1), at a latitude of 60 deg S. The dataset (mass, μg) corresponds to 8 different month and entry angles (in order: March, June, September, December for particle entry angles of 5 deg and 25 deg, respectively) and 201 altitudes (km). Figure 9 datasets (8 files in total): These data represent the simulated and observed peak altitudes (km) as a function of day-of-year and LT for each of the four Southern Andes meteor radar station locations (TdF, KEP, KSS, ROT).
创建时间:
2024-08-01
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