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4 results for “Swarm Satellite”
Satellite swarm versus night sky beauty, by Torsten Hansen, Germany
<p>Third place in the 2021 IAU OAE Astrophotography Contest, category Light pollution.</p> <p>This image of Venus and the Pleiades also shows the tracks of the Starlink satellites. These satellites which are located at an altitude of approximately 550 kilometres, are part of an ever-growing constellation of satellites aimed to provide worldwide internet access. The reflective surfaces of the satellites, coupled with the fact that they are orbiting around the Earth, means that astronomical observations which require very long exposures capture “tracks” of the satellites in their images. Astronomical images used for scientific research are not usable because the measurements and data will contain these “tracks”. Because the number of satellites is expected to grow, it is likely that in the near future there will be no place on Earth where these satellites will not be visible crossing the sky. This is a new type of light pollution that seems to be an upcoming problem we will have to deal with, as these satellites might prevent optimal observation of the sky.</p> <p>Credit: Torsten Hansen/IAU OAE</p>
Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".
<p>Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".</p>
Magnetic pictures of the Gulf Stream and Kurosio as they seen by SWARM satellites
<p>Six MATLAB/Octave data files (*.mat) are the output of two codes: myfilter_Gulf_Stream.m & myfilter_Kurosio.m. Each file containes three fileds: x10, y10, and ogmf10; all three have the same dimention. The x10 is 2D longitude, the y10 is 2D latitude, the ogmf10 is the filtered ocean generated magnetic field on 1.0 degree grid. The eaziest way to see the fields in Matlab/Octave is the comand <strong>contourf(x10,y10,ogmf10,10)</strong>. The files names containing 'gulfstream' are the Gulf Stream induced magnetic fields; the files with names starting with 'kurosio' are the inferred fild for the Kurosio current. Letter "A" in the name is for Alpha satellite, letter "C" is for Charlie satellite, letters "AC" denote combined two-satellite dataset. Number "430" means altitude in km. "202204" is April 2022. </p> <p>The Matlab/Octave codes myfilter_Gulf_Stream.m & myfilter_Kurosio.m are filters to infer the field induced by the Gulf Stream and Kurosio</p> <p>Three files "search_algorithm...." are the SWARM satellites data on regular grid. Again, Letter "A" in the name is for Alpha satellite, letter "C" is for Charlie satellite, letters "AC" denote combined two-satellite dataset. In Matlab/Octave the files can be read with a simple command <strong>load "name"</strong>. Each file containes the following fields: bz, by, bx, sig, nem, lat, lon which are three components of the magnetic fields, the standard deviation, number of data found by the search algoritn in each grid node, latitude and longitude. To check the data do the following: <strong>[X,Y]=meshgrid(lon,lat); contourf(X,Y,bz,10); colorbar</strong></p> <p>The land file containes two coordinates (xcst,ycst) of land masses. Command to read: <strong> load land</strong></p> <p>A file M025Mask is a mask function, see (Golubev, 2012) <strong>load M025mask</strong></p> <p>Kurosio_axis & Gulf_strea_axis are files containing coordinates of current's axis</p> <p>Figure 1,2,3 are .jpg files from the paper which is going to be submited to GRL: Yury Golubev: Magnetic pictures of the Gulf Stream and Kurosio as they seen by SWARM satellites</p> <p> </p>
Investigation of the global Ionospheric response to 2015 geomagnetic storms using SAMI3 simulations and SWARM satellite data
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