Added-Value Users of ACE Real Time Solar Wind (RTSW) Data

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Added-Value Users of ACE Real Time Solar Wind (RTSW) Data Severe geomagnetic storms disrupt communications, increase drag on orbiting spacecraft, and may cause electric utility blackouts over a wide area. Real-time solar wind data from ACE at L1 enables NOAA to give about a one hour advance warning of impending geomagnetic activity. Since ACE data are available on the web, other groups also use these data for real time forecasts. The figures here show ACE data from the April 6, 2000 interplanetary shock, which caused the the largest geomagnetic storm in years. Severe storms are triggered by prolonged periods of negative Bz (which then reconnects with the Earth’s field). Note the period at 2000 UT on May 6, when an interplanetary shock with negative Bz arrives.. ACE RTSW magnetic field strength and Bz, solar wind proton density and speed, and energetic proton intensities, from April 4 to April 8, 2000.

Dst Index Predictions Using RTSW Data from ACE A large shock was observed by ACE at ~16:04 UT on April 6, 2000. The proton density increased from about 8 to 20 particles/cc; the proton speed increased from 370 to 580 km/s; the proton temperature increased from 3e4 to 3e5 K. The magnetic field strength increased from ~8 to 30 nT. (All of these values based on ACE browse data.) Density, temperature, and B field remained elevated until ~08 UT on April 7. Following this time, counterstreaming electrons, low Tp, and enhanced alpha/proton ratios indicative of an interplanetary CME were observed by ACE. I'm not the one to write it, but you probably also want something about the energetic particles, and also about how the event was classified by the magnetspheric types - i.e. large storm, etc. The Dst index is derived from low-latitude magnetograms. Large negative values of Dst indicate a magnetic storm. During a storm, the geomagnetic field is depressed, due to the magnetospheric ring current, leading to the observed decrease in Dst. Predictions of the Dst index can be obtained from the solar wind conditions: proton density, proton speed, and the magnetic field Bz component (north/south component). Thus using the ACE RTSW data, a magnetic storm can be predicted approximately 1 hour before it reaches the Earth. Many groups are using the ACE RTSW data to make these predictions of geomagnetic storm activity. The ACE data are also being used to give advance warning of auroral substorm activity, including predictions of auroral indices and ionospheric electric fields and convection patterns. The ACE data provide both 1) a test of our current forecasting abilities and 2) a large data base for studying the correlations between solar wind and magnetospheric observations, which should lead to improvements in forecasting. The Dst Index measures the magnetic perturbation at the Earth's surface due to geomagnetic storms. Predictions of the Dst index can be obtained from the solar wind and interplanetary magnetic field conditions. ACE RTSW data can be used to forecast both the timing and magnitude of a magnetic storm. The Space Physics Research Group at Berkeley provides this Dst predictor at http://sprg.ssl.berkeley.edu/dst_index/. If the Pointer is in the red (extreme Dst), a storm is imminent. The Nonlinear Dynamics and Space Physics Group at GSFC provides this Dst prediction (colored lines), compared here with the Quicklook Dst from the World Data Center C2 in Kyoto. http://lepgst.gsfc.nasa.gov/nrt_predictions.html

Other Users of ACE RTSW Data Dynamic modeling of the Earth's bow shock and magnetopause, by Steve Petrinec of the PIXIE/Polar team is shown at left. (http://pixie.spasci.com/DynMod/.) Other examples include: Predictions of auroral electrojet AE index and geomagnetic Kp index, at Lund Space Weather Center, Sweden. http://nastol.astro.lu.se/~henrik/spwrealfo.html The Chandra Science Operations Team uses ACE RTSW data for alerts of large solar proton events which could damage the Chandra CCDs. Ionospheric forecasting at the University of Alaska and the Arctic Region Supercomputing Center (ARSC). http://www.pfrr.alaska.edu/~sergei/ For more examples…see http://www.srl.caltech.edu/ACE/ASC/related_sites.html