Multi-Instrument Intercalibration (MIIC) Framework: Extensions and Deployment

Wednesday, 17 December 2014
Jon Chris Currey, NASA Langley Research Center, Hampton, VA, United States and Aron Bartle, Mechdyne, Virginia Beach, VA, United States
MIIC started as a NASA funded ACCESS proposal in 2011 to demonstrate the feasibility of developing a web-based tool to support LEO-GEO and LEO-LEO GSICS backed intercalibration studies. The initial effort demonstrated the benefits of using OPeNDAP and user developed server-side functions to provide efficient access to L1 SCIAMACHY, GOES-13, and MODIS data. Matched data in viewing geometry from instruments on separate spacecraft are subset, filtered, and transformed on remote servers prior to network download. The follow-on MIIC proposal will extend features for intercomparison of derived geophysical variables and data mining validation studies; as well as, demonstrate a significant reduction in data transfer to support climate model vs. observational data comparisons using OSSE data. Deployed MIIC services will provide access to L1 and L2 datasets from instruments such as CERES, CALIPSO, VIIRS, CrIS, ATMS, and GOES housed at the NASA ASDC and NOAA NCDC data centers. Data products must be in the HDF or netCDF file format. Server-side functions include 2DHistogram, N-Tuple, spatial and spectral convolution for data matching and synthesis. MIIC services accessible via a web page or RESTful API include event prediction, data acquisition, and analysis. Event prediction determines when satellite instruments meet viewing conditions over surface sites and orbit crossings. Matched data are automatically acquired and filtered using a combination of server-side and client-side functions. MIIC services advance interoperability of data located at the NASA ASDC and NOAA NCDC and reduce data required for analysis by several orders of magnitude.