The team at CU is led by the Space Weather Technology, Research and Education Center with contributions from Stanford University, Lockheed Martin and the National Solar Observatory in Boulder.
Researchers at CU Boulder are starting work on a new collaborative grant from NASA and the National Oceanic and Atmospheric Administration (NOAA) that will improve solar wind modeling.
The team at CU is led by the Space Weather Technology, Research and Education Center with contributions from Stanford University, Lockheed Martin and the National Solar Observatory in Boulder. This is the first such grant the new center has received and the first time a group from CU has worked with the National Solar Observatory on a NASA grant, said center Director Thomas Berger.
The Space Weather Technology, Research and Education Center听is a multidisciplinary center within the College of Engineering and Applied Science. The center, a main component of the university鈥檚 Grand Challenge, brings together diverse research on space weather occurring across the university and the Front Range.
The project, which runs for 12 months and is funded at $287,000, is titled Improving Magnetic Field Boundary Conditions for Solar Wind Models. It is part of a new, which aims to communicate space weather forecasting challenges to the research community who can then find innovative solutions.
Solar wind is the stream of high energy charged particles carrying the sun鈥檚 magnetic field into our solar system, where it can interact with planetary magnetic fields. There can also be large eruptions of magnetic field, known as coronal mass ejections, embedded in the solar wind that can significantly disturb the Earth鈥檚 magnetic field, causing large 鈥済eomagnetic storms.鈥澨�
The best-known impacts of these storms are the colorful lights of the aurora borealis. If they are powerful enough, however, they can cause problems with satellite communications, transmission lines and GPS navigation. While those effects are rare, our society is increasingly reliant on those technologies. That makes it important to understand and predict these storms as accurately as possible.
Currently, both NOAA鈥檚 Space Weather Prediction Center and the U.S. Air Force use a combination of models to forecast the solar wind speed and density conditions at Earth. The input to these models comes from the National Solar Observatory鈥檚 Global Oscillations Network Group (GONG) telescope array,听a collection of six solar observatories positioned around the world. But because these telescopes are ground-based, they are challenged when imaging the sun through the Earth鈥檚 own turbulent atmosphere.听
That can lead to inaccurate data, said Berger.
鈥淭he measurements of the solar magnetic field are not as uniform as we鈥檇 like, and it is difficult to calibrate them to get accurate magnetic field values into the current model,鈥� he said. 鈥淚n addition, because we see the sun only from Earth, in the ecliptic plane of the solar system, we cannot measure the magnetic field of the solar polar regions very well. The polar regions are the source of the fastest solar wind streams so getting these fields wrong means the forecast models are often wrong.鈥�
Berger said the new project will 鈥渞ecalibrate鈥� the GONG data to make them more accurate across the entire solar disk and compare the GONG ground-based magnetic field data with data measured in space and NASA鈥檚 Solar Dynamics Observatory. The grant will also fund work to test these new inputs and gauge the level of improvement in the forecasts.
The Space Weather Technology, Research and Education Center aims to produce breakthrough research advances and innovative mission technologies that are directly tied to the needs of the operational forecasting enterprise. Their goal is to ensure closure of the research to operations loop, and Berger said this award fits that mission perfectly.
鈥淭he O2R program is the first time that NASA and NOAA are working together to fund improvements to space weather forecasting, and CU鈥檚 new space weather center is at the forefront of this exciting effort,鈥� he said.