RAPID: Improving DMSP SSIES-3 data to level-2 quality

RAPID：将 DMSP SSIES-3 数据提高到 2 级质量

• 批准号: 1663763
• 负责人: William Coley
• 金额: $ 11.96万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-12-15 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1663763&HistoricalAwards=false
• 关键词: RAPID; Improving; DMSP; SSIES; data

This RAPID award provides for the development and re-analysis of the database of ionospheric measurement parameters (the three-dimensional ion flow, ion temperature, ion density, election temperature, and ion composition) from the Special Sensors-Ions, Electrons, and Scintillation(SSIES) instruments on multiple Defense Meteorological Satellite Program (DMSP) spacecrafts. Thus, combining the output from the four SSIES instruments produces the complete three-dimensional flow vector of the thermal plasma, the plasma density and composition, along with the temperature of the ions and the electrons. The total extent of these measurements from all of these satellites consists of over 90 satellite years of data from 1987 through the present. These results taken as a whole represents an extremely valuable resource of scientific information for ionospheric and magnetospheric physics studies. However, the DMSP data starting in 2003 from the third generation of the instruments (SSIES-3 starting with F16) that comprise over 30 satellite-years are only available to the geospace community at a level-1 quality with no quality flags to identify bad data caused by an incorrect assumption about the ion composition of the plasma sampled. If these data were available at a reliable level-2 or level-3 quality that could be used directly for scientific and modeling work without further need for any processing, these new results would enable significant advances in research in space science and space weather efforts. This is especially true for the case of multiple DMSP satellites with level-2 quality data where the inclusion of data over multiple orbits and multiple satellites would help enhanced the extended coverage of the ionospheric and magnetospheric regions that might be achieved by data assimilation combined with first-principle physics-based modeling. The boarder impact of such a database is quite xtensive as many science studies are expected to emerge once these Level-2 results have been transferred to the database. The justification of this award as a RAPID award is the fact that the two PIs are planning retirement within the next few months. Consequently, it is expected that the work supported by this award would never take place. The absence of these data products would then represent a major loss to the space physics community.The two PIs propose a pilot study doing the initial work to develop the improved data reduction code and quality flag classification routines to produce level-2 quality SSIES-3 data for public distribution and use. The effort would concentrate upon analyzing the data for the year 2012 for the three satellites: F16, F17, and F18. This year is of especial interest because it is the year of solar maximum activity. Moreover, several major geomagnetic storms occurring in this year would be studied. These improved analysis software routines would then be available for subsequent use to apply to the remainder of the DMSP database. This initial effort would provide the basis for estimating the expense required to apply these improved codes to all of the remaining data. The results from this effort would be distributed to the community through the Madrigal data base hosted by MIT Haystack Observatory.

该RAPID奖提供了电离层测量参数（三维离子流，离子温度，离子密度，电子温度和离子成分）的数据库的开发和重新分析，这些参数来自多个国防气象卫星计划（DMSP）航天器上的特殊传感器-离子，电子和闪烁（SSIES）仪器。因此，结合四个SSIES仪器的输出，产生热等离子体的完整三维流动矢量、等离子体密度和成分以及离子和电子的温度沿着。所有这些卫星测量的总范围包括从1987年到现在的90多个卫星年的数据。 这些结果作为一个整体是电离层和磁层物理学研究的一个极其宝贵的科学信息资源。然而，从2003年开始的第三代仪器（从F16开始的SSIES-3）的DMSP数据，包括超过30个卫星年，只能以1级质量提供给地球空间界，没有质量标志来识别由于对采样等离子体的离子组成的错误假设而造成的不良数据。如果这些数据具有可靠的二级或三级质量，可直接用于科学和建模工作而无需进一步处理，这些新成果将使空间科学研究和空间气象工作取得重大进展。对于具有2级质量数据的多个DMSP卫星的情况尤其如此，在这种情况下，纳入多个轨道和多个卫星上的数据将有助于扩大电离层和磁层区域的覆盖范围，而这可以通过数据同化与基于第一原理物理学的建模相结合来实现。 这样一个数据库的广泛影响是相当广泛的，因为一旦这些2级结果被转移到数据库中，许多科学研究预计将出现。该奖项作为RAPID奖项的理由是，这两名PI计划在未来几个月内退休。 因此，预计该奖项所支持的工作将永远不会发生。这两个主要研究员建议进行一项试点研究，开展初步工作，开发改进的数据简化代码和质量标志分类程序，以产生第2级质量的SSIES-3数据，供公众分发和使用。这项工作将集中于分析2012年三颗卫星的数据：F16、F17和F18。 今年特别令人感兴趣，因为它是太阳活动最活跃的一年。 此外，还将研究今年发生的几次重大磁暴。 这些改进的分析软件程序随后可用于应用于DMSP数据库的其余部分。 这一初步工作将为估计将这些改进的编码应用于所有剩余数据所需的费用提供基础。这项工作的结果将通过麻省理工学院干草堆天文台主办的牧歌数据库分发给社区。