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astronomy

SuperDARN

SuperDARN is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand SuperDARN rather than just read about it. In short: The Super Dual Auroral Radar Network (SuperDARN) is an international scientific radar network consisting of 41 high frequency (HF) radars located in both the Northern and Southern Hemispheres. SuperDARN radars are primarily used to map high-latitude plasma convection in the F region of the ionosphere, but the radars are also used to study a wider range of geospace phenomena including field aligned currents, magnetic…

SuperDARN — main illustration
SuperDARN — illustration

Key takeaways

  • SuperDARN belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect SuperDARN to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of SuperDARN from memory before moving on to harder problems.

Reference excerpt

The Super Dual Auroral Radar Network (SuperDARN) is an international scientific radar network consisting of 41 high frequency (HF) radars located in both the Northern and Southern Hemispheres. SuperDARN radars are primarily used to map high-latitude plasma convection in the F region of the ionosphere, but the radars are also used to study a wider range of geospace phenomena including field aligned currents, magnetic reconnection, geomagnetic storms and substorms, magnetospheric MHD waves, mesospheric winds via meteor ionization trails, and interhemispheric plasma convection asymmetries. The SuperDARN collaboration is composed of radars operated by JHU/APL, Virginia Tech, Dartmouth College, the Geophysical Institute at the University of Alaska Fairbanks, the Institute of Space and Atmospheric Studies at the University of Saskatchewan, the University of Leicester, Lancaster University, La Trobe University, the Solar-Terrestrial Environment Laboratory at Nagoya University, the British Antarctic Survey and the Institute for Space Astrophysics and Planetology (INAF-IAPS Italy).

History In the 1970s and 1980s, the Scandinavian Twin Auroral Radar Experiment (STARE) very high frequency (VHF) coherent scatter radars were used to study field aligned E region ionospheric irregularities. Using two radars with overlapping fields of view, it was possible to determine the 2D velocity vector of E region ionospheric plasma flow. However, irregularities were only observed when the radar wavevector was perpendicular to the magnetic field in the scattering region. This meant that there was a problem with operating at VHF since VHF frequencies don't allow for very much refraction of the transmitted radar wave vector; thus, the perpendicularity requirement could not be easily met at high latitudes. At HF frequencies, however, refraction of the radar wave vector is greater, and this allows for the perpendicularity requirement to be met at high latitudes. Refraction of radio waves in the ionosphere is a complicated non-linear phenomenon governed by the Appleton–Hartree equation. In 1983, a steerable-beam HF radar with 16 log-periodic antennas began operations at Goose Bay, Labrador, Canada. Comparing measurements of F region ionospheric plasma velocity from the Goose Bay radar with the Sondestrom Incoherent Scatter Radar revealed that the Goose Bay radar was capable of measuring the F region plasma convection velocity. A magnetically conjugate radar was constructed in Antarctica at Halley Research Station in 1988 as part of the Polar Anglo–American Conjugate Experiment (PACE). PACE provided simultaneous conjugate studies of ionospheric and magnetospheric phenomena. From PACE, which was only able to determine a single component of the 2D ionospheric velocity, it became apparent that determining the 2D ionospheric velocity would be advantageous. Combining velocity measurements from Goose Bay with a second coherent-scatter radar in Schefferville in 1989 allowed for a 2D determination of the F region ionospheric velocity. This work led to SuperDARN, a network of HF radars with pairs of radars having overlapping fields of view. This arrangement allowed for the determination of the full 2D ionospheric plasma convection velocity. Due to the advancement of data assimilation models, radars recently added to the network do not necessarily have overlapping fields of view. Using data from all SuperDARN radars in the northern or southern hemisphere, an ionospheric plasma convection pattern—a map of high-latitude plasma velocity at F region altitudes (300 km)—can be determined.

Primary Goals The primary goals of SuperDARN are to determine or study:

Structure of global convection—to provide a global-scale view of the configuration of plasma convection in the high-latitude ionosphere; Dynamics of global convection—to provide a global-scale view of the dynamics of plasma convection in the high-latitude ionosphere. (Previous studies of high-latitude convection had largely been statistical and time-averaged); Substorms—to test various theories of polar cap expansion and contraction under changing IMF conditions and observe the large-scale response of the nightside; convection pattern to substorms: Signatures of atmospheric gravity waves in the ionosphere, High-latitude plasma structures, and Ionospheric irregularities

Operations SuperDARN radars operate in the HF band between 8.0 MHz (37 m) and 22.0 MHz (14 m). In the standard operating mode each radar scans through 16 beams of azimuthal separation of ~3.24°, with a scan taking 1 min to complete (~3 seconds integration per beam). Each beam is divided into 75 (or 100) range gates each 45 km in distance, and so in each full scan the radars each cover 52° in azimuth and over 3000 km in range; an area encompassing the order of 1 million square km. The radars measure the Doppler velocity (and other related characteristics) of plasma density irregularities in the ionosphere. Since Linux became popular, it has become the default operating system for the SuperDARN network. The operating system (superdarn-ros.3.6) is currently licensed under the LGPL). [link removed]

SuperDARN sites The following is a list of SuperDARN sites, based on a list maintained by Virginia Tech College of Engineering. As of 2009, an expansion project was underway for expanding the network into the middle latitudes, including the addition of sites in Hays, Kansas (near Fort Hays State University), Oregon, and the Azores, in order to support mapping outside of the auroral regions during large magnetic storms.

Decommissioned

*: Part of the Southern Hemisphere Auroral Radar Experiment

Coverage Northern Hemisphere

Because the SuperDARN network evolved in the west during the late Cold War, coverage of Russia's arctic regions is poor. Although there is no shortage of possible sites to cover Russia's Arctic regions from Northern Europe and Alaska, the coverage would probably not be of high quality. Although Russian universities have worked with the University of Leicester and installed a HF radar in Siberia, national funding issues have limited the radar operations. The Polar Research Institute of China has extended mid-latitude coverage, christening the extension to SuperDARN "AgileDARN" Southern Hemisphere

… excerpt ends here. Continue reading the full article.

Illustrations

SuperDARN: A SuperDARN radar site located in Saskatoon, Canada
A SuperDARN radar site located in Saskatoon, Canada
SuperDARN illustration
SuperDARN illustration

Worked examples

Example 1 — a first encounter with SuperDARN

Start with the simplest possible case. Write down what SuperDARN claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to SuperDARN before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about SuperDARN ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of SuperDARN

In research
SuperDARN appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses SuperDARN in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
SuperDARN is common in secondary-school and first-year university syllabi. It links to neighbouring topics Buildings and structures completed in 1983, Johns Hopkins University, Radar networks, so understanding it makes those chapters shorter.
In everyday life
Look for SuperDARN outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study SuperDARN in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what SuperDARN means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain SuperDARN out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is SuperDARN in simple terms?

The Super Dual Auroral Radar Network (SuperDARN) is an international scientific radar network consisting of 41 high frequency (HF) radars located in both the Northern and Southern Hemispheres. SuperDARN radars are primarily used to map high-latitude plasma convection in the F region of the ionosphe…

Why does SuperDARN matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study SuperDARN?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on SuperDARN.

Tags

  • Buildings and structures completed in 1983
  • Johns Hopkins University
  • Radar networks
  • Science and technology in Alaska
  • University of Alaska Fairbanks
  • University of Leicester
  • University of Saskatchewan
  • Virginia Tech

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