Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars
Year: 2022
Type: dataset
Abstract: The datasets here correspond to a paper by Dawkins et al., “Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars”, originally submitted in November 2022. The following datasets are sufficient to produce Figure 2 and 3 in the main manuscript. Figure 2: Please use the 12 individual files with filenames, “Dawkins_et_al_2022__meteor_peak_altitude__*_data.txt”. Here the asterisk should be replaced by one of the following station abbreviations: CAR, COL, CPa, DAV, KIR, KSS, ROT, SMa, SOD, SVA, TdF, and TRO. Each file contains 5 columns: Column 1 is year (from 1999 to 2022), Column 2 is the time series of the annual peak altitude residuals (no units), Column 3 is the corresponding standard error, Column 4 is the multilinear model fit, and Column 5 is the normalized annual solar flux (F10.7) in arbitrary units. Figure 3: Please use “Dawkins_et_al_2022__meteor_peak_altitude_trends.txt”. For ease, a description of the different columns is included within this file.
Institutions: Goddard Space Flight Center, National Aeronautics and Space Administration, Catholic University of America, University of Bern, Leipzig University, British Antarctic Survey, University of Bath, Instituto Nacional de Pesquisas Espaciais, Universidade Federal de Campina Grande, Australian Antarctic Division, Swedish Institute of Space Physics, UiT The Arctic University of Norway, The Graduate University for Advanced Studies, SOKENDAI, National Institute of Polar Research, University of Oulu, Korea Polar Research Institute, University of Leicester
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W4393566381