تقرير
Progress Report on the Airborne Composition Standard Variable Name and Time Series Working Groups of the 2017 ESDSWG
| العنوان: | Progress Report on the Airborne Composition Standard Variable Name and Time Series Working Groups of the 2017 ESDSWG |
|---|---|
| المؤلفون: | Evans, Keith D, Early, Amanda, Northup, Emily, Ames, Dan, Teng, William, Archur, David, Beach, Aubrey, Olding, Steve, Krotkov, Nickolay A |
| بيانات النشر: | United States: NASA Center for Aerospace Information (CASI), 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Geosciences (General), Computer Operations And Hardware |
| الوصف: | The role of NASA's Earth Science Data Systems Working Groups (ESDSWG) is to make recommendations relevant to NASA's Earth science data systems from users' experiences and community insight. Each group works independently, focusing on a unique topic. Progress of two of the 2017 Working Groups will be presented. In a single airborne field campaign, there can be several different instruments and techniques that measure the same parameter on one or more aircraft platforms. Many of these same parameters are measured during different airborne campaigns using similar or different instruments and techniques. The Airborne Composition Standard Variable Name Working Group is working to create a list of variable standard names that can be used across all airborne field campaigns in order to assist in the transition to the ICARTT Version 2.0 file format. The overall goal is to enhance the usability of ICARTT files and the search ability of airborne field campaign data. The Time Series Working Group (TSWG) is a continuation of the 2015 and 2016 Time Series Working Groups. In 2015, we started TSWG with the intention of exploring the new OGC (Open Geospatial Consortium) WaterML 2 standards as a means for encoding point-based time series data from NASA satellites. In this working group, we realized that WaterML 2 might not be the best solution for this type of data, for a number of reasons. Our discussion with experts from other agencies, who have worked on similar issues, identified several challenges that we would need to address. As a result, we made the recommendation to study the new TimeseriesML 1.0 standard of OGC as a potential NASA time series standard. The 2016 TSWG examined closely the TimeseriesML 1.0 and, in coordination with the OGC TimeseriesML Standards Working Group, identified certain gaps in TimeseriesML 1.0 that would need to be addressed for the standard to be applicable to NASA time series data. An engineering report was drafted based on the OGC Engineering Report template, describing recommended changes to TimeseriesML 1.0, in the form of use cases. In 2017, we are conducting interoperability experiments to implement the use cases and demonstrate the feasibility and suitability of these modifications for NASA and related user communities. The results will be incorporated into the existing draft engineering report. |
| نوع الوثيقة: | Report |
| اللغة: | English |
| URL الوصول: | https://ntrs.nasa.gov/citations/20180000570 |
| ملاحظات: | NNL16AA05C NNX15AT34A 80GSFC17C0003 |
| رقم الأكسشن: | edsnas.20180000570 |
| قاعدة البيانات: | NASA Technical Reports |
| الوصف غير متاح. |