Friday, January 28, 2011
First large-scale, physics-based space weather model transitions into operation
National Science Foundation (US): The first large-scale, physics-based space weather prediction model is transitioning from research into operation. Scientists affiliated with the National Science Foundation (NSF) Center for Integrated Space Weather Modeling (CISM) and the National Weather Service reported the news today at the annual American Meteorological Society (AMS) meeting in Seattle, Wash.
The model will provide forecasters with a one-to-four day advance warning of high speed streams of solar plasma and Earth-directed coronal mass ejections (CMEs). These streams from the Sun may severely disrupt or damage space- and ground-based communications systems, and pose hazards to satellite operations.
CISM is an NSF Science and Technology Center (STC) made up of 11 member institutions. Established in 2002, CISM researchers address the emerging system-science of Sun-to-Earth space weather. The research-to-operations transition has been enabled by an unprecedented partnership between the Boston University-led CISM and the National Oceanic and Atmospheric Administration (NOAA)'s Space Weather Prediction Center.
"It's very exciting to pioneer a path from research to operations in space weather," says scientist Jeffrey Hughes of Boston University, CISM's director. "The science is having a real impact on the practical problem of predicting when 'solar storms' will affect us here on Earth."
The development comes in response to the growing critical need to protect the global communications infrastructure and other sensitive technologies from severe space weather disruptions. This transition culminates several years of close cooperation between CISM and its partner organizations to integrate, improve and validate a model for operational forecast use.
"This milestone represents important scientific progress, and underscores the effectiveness of NSF's Science and Technology Centers in applying research results to real-world problems," says Robert Robinson of NSF's Division of Atmospheric and Geospace Sciences, which funds CISM…
A coronal mass ejection (CME) in a model; the CME is the gray cloud toward the lower right. Credit: Dusan Odstrcil, George Mason University
The model will provide forecasters with a one-to-four day advance warning of high speed streams of solar plasma and Earth-directed coronal mass ejections (CMEs). These streams from the Sun may severely disrupt or damage space- and ground-based communications systems, and pose hazards to satellite operations.
CISM is an NSF Science and Technology Center (STC) made up of 11 member institutions. Established in 2002, CISM researchers address the emerging system-science of Sun-to-Earth space weather. The research-to-operations transition has been enabled by an unprecedented partnership between the Boston University-led CISM and the National Oceanic and Atmospheric Administration (NOAA)'s Space Weather Prediction Center.
"It's very exciting to pioneer a path from research to operations in space weather," says scientist Jeffrey Hughes of Boston University, CISM's director. "The science is having a real impact on the practical problem of predicting when 'solar storms' will affect us here on Earth."
The development comes in response to the growing critical need to protect the global communications infrastructure and other sensitive technologies from severe space weather disruptions. This transition culminates several years of close cooperation between CISM and its partner organizations to integrate, improve and validate a model for operational forecast use.
"This milestone represents important scientific progress, and underscores the effectiveness of NSF's Science and Technology Centers in applying research results to real-world problems," says Robert Robinson of NSF's Division of Atmospheric and Geospace Sciences, which funds CISM…
A coronal mass ejection (CME) in a model; the CME is the gray cloud toward the lower right. Credit: Dusan Odstrcil, George Mason University
Labels:
2011_Annual,
insurance,
prediction,
satellite,
space weather,
sun
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