Title: Distributed Oceanographic Data Match-up Service (DOMS)
Presenting Author: Thomas Huang
Organization: Jet Propulsion Laboratory
Co-Author(s): Shawn R. Smith

Abstract:
The authors will present the concept plans and preliminary design for a Distributed Oceanographic Data Match-up Service (DOMS) that will be capable of matching marine observations made by space-based satellites to those from in situ platforms (e.g. ships, moored buoys, drifters, AUVs). DOMS will support NASAs Earth Science missions in delivering an innovative and portable software solution for a generalized collocation engine, and associated webservice. This web-based interface will allow users to programmatically or interactively specify a series of data source (provider/platform/sensor) and geospatial criteria (date, time, location) and receive collocated satellite and in-situ observations (with associated metadata) for the selected spatio-temporal domain. A generalized, and distributed webservice capability for the collocation of satellite and in situ oceanographic observations is required by NASA Earth Science for calibration or validation (cal/val) of satellite data products, development of satellite retrieval algorithms, use during field campaigns (including via data assimilation) to update sampling planning, and quality control of both satellite and in situ observations. DOMS will be developed and tested using a subset of satellite products and in situ datasets that include sea-surface salinity, sea surface temperature, and ocean vector wind measurements. In situ data will include observations from moorings, floats, or ships extracted from the International Comprehensive Ocean-Atmospheric Data Set (ICOADS), the Shipboard Automated Meteorological and Oceanographic System initiative (SAMOS), and the Salinity Processes in the Upper Ocean Region Study (SPURS). Satellite products will include JPLv3 QuikSCAT winds, the Aquarius v3.0 L2 orbital dataset, and the high-resolution gridded L4 MUR-SST product. Importantly, although the system will be established with these selected datasets, it will be readily extendable to other in situ and satellite collections, which could support additional science disciplines (e.g., ecosystems science, the carbon community, or terrestrial satellite and in situ observations).