globalchange  > 影响、适应和脆弱性
项目编号: 1444560
项目名称:
Data Reduction and Inversion for the Imaging Vector Magnetograph Archive Database
作者: K.D. Leka
承担单位: NorthWest Research Associates, Incorporated
批准年: 2013
开始日期: 2014-10-01
结束日期: 2016-09-30
资助金额: USD30899
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Atmospheric and Geospace Sciences
英文关键词: ivm datum ; datum ; archive ; inversion-independent determination ; imaging spectro-polarimetric datum ; photospheric vector magnetic field ; historic datum ; imaging vector magnetograph ; unique datum source ; sun ; present datum
英文摘要: The main thrust of this 1-year project is to debug and optimize the existent codes that are used to process data from the Imaging Vector Magnetograph (IVM) gathered during 1992-2006 (1.5 solar cycles). Historic data from the IVM have contributed to major advances in understanding the photospheric vector magnetic fields of active regions on the Sun. The main goal is to advance those data-processing codes of IVM data, so that the released archive of IVM data is of as high quality as possible for use by the broad solar community. Upon completion of this project, the available IVM data archive will be treated consistently, and it will ready for scientific analysis. This research project will contribute to improved community knowledge on handling imaging spectro-polarimetric data, which will have an impact on analyzing data from the future DKIST (formerly known as the ATST). The project supports the Strategic Goals of the AGS Division in discovery, learning, diversity, and interdisciplinary research.

A consistently produced archive of IVM data presents a unique data source for studying the long-term behavior of the Sun, since it allows for inversion-independent determination of magnetic field strengths in sunspots over 1.5 solar cycles. The IVM data have featured prominently in novel investigations of solar flares and their prediction --- a topic with societal impacts that range from communications disruptions to power-grid outages. The IVM data would contribute to the large statistical samples needed for further progress, complementing present data from SDO/HMI. Predicting solar flares, and quantitatively understanding the inter-cycle behavior of our Sun, are questions with potentially major impacts on today's society.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/95440
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
K.D. Leka. Data Reduction and Inversion for the Imaging Vector Magnetograph Archive Database. 2013-01-01.
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