Driving space weather forecasts with real data
Driving space weather forecasts with real data
批准号:
NE/J024678/1
负责人:
Christopher Scott
金额:
$35.66万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2012
资助国家:
英国
项目状态:
已结题
起止时间:
2012 至 --
中文摘要
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英文摘要
Space weather, the result of variable conditions in the near-Earth solar wind, has a number of adverse effects on Earth- and space-based technologies, particularly power infrastructure, and communication, Earth-observation and GPS satellites. Our increasing reliance on such technologies drives an increasing need to reliably forecast space weather. NERC has a central role in the science of forecasting and mitigating such natural hazards, and the UK Met Office (UKMO) is currently developing its own space-weather forecasting system.Advanced space-weather forecasting relies on a chain of numerical models to simulate the propagation of disturbances from the Sun to the Earth. Currently, this coupled system of models is driven by observations of the magnetic field at the solar photosphere. This is used to model the magnetic field structure in the solar corona. Unfortunately this provides only very indirect information about the speed or density of disturbances, meaning estimates of their arrival time and characteristics are not well constrained. The recently developed Heliospheric Imager (HI) instruments allow the first continual observations of the solar wind structure between the Sun and the Earth. We propose to use these direct solar wind measurements to drive the chain of space-weather forecast models, which should provide a vast improvement of the skill in which the forecast of near-Earth solar wind conditions. This new forecast scheme will require the solar wind speed and density to be estimated from HI data. Solar wind magnetic field information will still be derived by the existing method of coronal magnetic field modelling. Density will be derived from the absolute brightness of structures observed by HI. Speed will require solar wind features to be tracked through consecutive HI images. This will initially be performed by human observers, as part of the citizen science project, Solar Stormwatch. Later in the project, this tracking process will be fully automated, allowing analysis of a much greater quantity of HI data and for the scheme to be more readily transitioned into operational forecast use. The proposed 3-year work plan covers the full development and testing of the new forecast scheme. At the end of the project, the scheme will be transitioned to the UK Met Office. It is then expected to be adopted internationally through the UKMO's close collaboration with the Space Weather Prediction Center in the US.
期刊论文(10)
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Centennial variations in sunspot number, open solar flux, and streamer belt width: 2. Comparison with the geomagnetic data
太阳黑子数量、开放太阳通量和流带宽度的百年变化:2.与地磁数据的比较
DOI:
10.1002/2014ja019972
发表时间:
2014
期刊:
Space Physics
影响因子:
--
作者:
[Lockwood M]
通讯作者:
Lockwood M
DOI:
10.1098/rsta.2015.0220
发表时间:
2016-09-28
期刊:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
影响因子:
--
作者:
[Barnard L, Portas AM, Gray SL, Harrison RG]
通讯作者:
Harrison RG
Solar cycle 24: what is the Sun up to?
太阳周期24:太阳在做什么?
DOI:
10.1111/j.1468-4004.2012.53309.x
发表时间:
2012
期刊:
Astronomy & Geophysics
影响因子:
0.8
作者:
[Lockwood M]
通讯作者:
Lockwood M
DOI:
10.1093/astrogeo/atv131
发表时间:
2015-08
期刊:
Astronomy & Geophysics
影响因子:
0.8
作者:
[L. Barnard;C. Scott;M. Owens;M. Lockwood;Kimberley Tucker-Hood;J. Wilkinson;B. Harder;E. Baeten]
通讯作者:
L. Barnard;C. Scott;M. Owens;M. Lockwood;Kimberley Tucker-Hood;J. Wilkinson;B. Harder;E. Baeten
Differences between the CME fronts tracked by an expert, an automated algorithm, and the Solar Stormwatch project
专家跟踪的日冕物质抛射锋面、自动算法和太阳风暴观察项目之间的差异
DOI:
10.1002/2015sw001280
发表时间:
2015
期刊:
Space Weather
影响因子:
3.7
作者:
[Barnard L]
通讯作者:
Barnard L
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