Toolsets for Airborne Data (TAD): Improving Machine Readability for ICARTT Data Files

Abstract:

NASA has conducted airborne tropospheric chemistry studies for about three decades. These field campaigns have generated a great wealth of observations, including a wide range of the trace gases and aerosol properties. The ASDC Toolsets for Airborne Data (TAD) is designed to meet the user community needs for manipulating aircraft data for scientific research on climate change and air quality relevant issues. TAD makes use of aircraft data stored in the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format. ICARTT has been the NASA standard since 2010, and is widely used by NOAA, NSF, and international partners (DLR, FAAM). Its level of acceptance is due in part to it being generally self-describing for researchers, i.e., it provides necessary data descriptions for proper research use. Despite this, there are a number of issues with the current ICARTT format, especially concerning the machine readability. In order to overcome these issues, the TAD team has developed an “idealized” file format. This format is ASCII and is sufficiently machine readable to sustain the TAD system, however, it is not fully compatible with the current ICARTT format. The process of mapping ICARTT metadata to the idealized format, the format specifics, and the actual conversion process will be discussed. The goal of this presentation is to demonstrate an example of how to improve the machine readability of ASCII data format protocols.