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The Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative Data Management System

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Presentation on theme: "The Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative Data Management System"— Presentation transcript:

1 The Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative Data Management System Shawn R. Smith 1, Robert A. Arko 3, Mark A. Bourassa 1,2, Jiangyi Hu 1, Michael McDonald 1, Jacob Rettig 1, and Jeremy Rolph 1 Poster 3-25 IMDIS March 2010 Ship SAMOS Processing SAMOS Processing Analyst Feedback Analyst Feedback Satellite Broadband (e.g., HiSeasNet) Check & Verify Quality Control Quality Control ASCII to NetCDF ASCII to NetCDF Preliminary Data Posted Preliminary Data Posted Problem OK Analyst Notification Analyst Notification Cron/Manual Trigger Cron/Manual Trigger Merge Data File Merge Data File SASSI: Statistical Quality Control SASSI: Statistical Quality Control Analyst Notification Analyst Notification Visual Quality Control Save & Post Save & Post Monthly Data Monthly Data NODC Archive NODC Archive Internet RSYNC Internet RSYNC Overall, the data management system is a series of automated processes coupled to an SQL database. The database stores vessel metadata profiles, ship-specific processing parameters, file tracking and version control tags, and data quality flags. SAMOS Data Management System Currently, recruited SAMOS vessels use an protocol to transmit 1-min. averaged data to the DAC. Transmissions nominally sent at 0000UTC and include all observations for the previous day. receipt by the DAC triggers automated SAMOS processing (whitelist controlled). Currently, recruited SAMOS vessels use an protocol to transmit 1-min. averaged data to the DAC. Transmissions nominally sent at 0000UTC and include all observations for the previous day. receipt by the DAC triggers automated SAMOS processing (whitelist controlled). After verifying source and format of incoming message, data are converted to network common data form and merged with vessel specific metadata from database. Automated QC checks data for valid ranges, ship speed, and location; agreement with a climatology; temporal sequence, and physical consistency. Preliminary files posted via web, ftp, and THREDDS. Analyst notifies operators at sea when problems are detected. After verifying source and format of incoming message, data are converted to network common data form and merged with vessel specific metadata from database. Automated QC checks data for valid ranges, ship speed, and location; agreement with a climatology; temporal sequence, and physical consistency. Preliminary files posted via web, ftp, and THREDDS. Analyst notifies operators at sea when problems are detected. On a 10 day delay, all files for a single ship and observation day are combined (allowing for late file receipt). Merge uses preliminary QC to remove temporal duplicates. Secondary automated QC locates spikes, steps, and highly variable observations, resulting in an intermediate product. On a 10 day delay, all files for a single ship and observation day are combined (allowing for late file receipt). Merge uses preliminary QC to remove temporal duplicates. Secondary automated QC locates spikes, steps, and highly variable observations, resulting in an intermediate product. NOAA supports visual QC for select vessels. Trained data quality analyst uses a graphical user interface to add, modify, or remove QC flags. Resulting research quality files are posted. NOAA supports visual QC for select vessels. Trained data quality analyst uses a graphical user interface to add, modify, or remove QC flags. Resulting research quality files are posted. The final stage of the SAMOS DMS is to submit the data and metadata to the National Oceanographic Data Center. On a monthly basis, all original, preliminary, intermediate, and research-quality SAMOS data files are uploaded to NODC. NODC develops FGDC metadata records and provides long-term access and stewardship. The final stage of the SAMOS DMS is to submit the data and metadata to the National Oceanographic Data Center. On a monthly basis, all original, preliminary, intermediate, and research-quality SAMOS data files are uploaded to NODC. NODC develops FGDC metadata records and provides long-term access and stewardship. SAMOS-R2R Partnership In 2009, the SAMOS DAC forged a partnership with the R2R to expand SAMOS data stewardship to all vessels in the U. S. academic fleet. Objectives 1.Initiate transfers of relevant parameters (Table 1) from all U. S. academic fleet vessels 2.Increase data transfer frequency to meet needs of operational weather forecasting community (at least every 6 hours) 3.Conduct fully automated quality control (QC) 4.Provide operators with QC feedback and recommendations for sensor deployment 5.Develop automated protocol for ship-to-shore metadata transfers Standards The SAMOS DAC will move to adopt R2R vocabularies for vessel names, ports, etc. The DAC continues to move towards the Climate and Forecast (CF) network common data form Plan to utilize R2R cruise inventory and cross populate vessel profiles Proposed Data Transfer Mechanism Two options: 1.Large operators with sufficient technical staff will continue to use current SAMOS data transfer protocol. 2.SAMOS-R2R exploring development of software/hardware solution for other vessels This protocol will support smaller operators Recommended by UNOLS Research Vessel Technical Enhancement Committee Wecoma and Endeavor are test vessels Input from technical community welcome. SAMOS-R2R Partnership In 2009, the SAMOS DAC forged a partnership with the R2R to expand SAMOS data stewardship to all vessels in the U. S. academic fleet. Objectives 1.Initiate transfers of relevant parameters (Table 1) from all U. S. academic fleet vessels 2.Increase data transfer frequency to meet needs of operational weather forecasting community (at least every 6 hours) 3.Conduct fully automated quality control (QC) 4.Provide operators with QC feedback and recommendations for sensor deployment 5.Develop automated protocol for ship-to-shore metadata transfers Standards The SAMOS DAC will move to adopt R2R vocabularies for vessel names, ports, etc. The DAC continues to move towards the Climate and Forecast (CF) network common data form Plan to utilize R2R cruise inventory and cross populate vessel profiles Proposed Data Transfer Mechanism Two options: 1.Large operators with sufficient technical staff will continue to use current SAMOS data transfer protocol. 2.SAMOS-R2R exploring development of software/hardware solution for other vessels This protocol will support smaller operators Recommended by UNOLS Research Vessel Technical Enhancement Committee Wecoma and Endeavor are test vessels Input from technical community welcome. SAMOS Objective: SAMOS Objective: To collect, quality evaluate, distribute, and ensure future access (via national archives) to underway meteorological and near-surface ocean data collected on research vessels. SAMOS Data The SAMOS data assembly center (DAC) receives voluntary contributions from 26 research vessels (as of March 2010; Fig. 1). Observations are from automated instrument systems operated and maintained by the research vessels home institution. Parameters collected (Table 1) vary from vessel to vessel, but must include observation time, position, and units. SAMOS observations are one-minute average values derived from higher frequency (~1 Hz) instrument samples. SAMOS Data The SAMOS data assembly center (DAC) receives voluntary contributions from 26 research vessels (as of March 2010; Fig. 1). Observations are from automated instrument systems operated and maintained by the research vessels home institution. Parameters collected (Table 1) vary from vessel to vessel, but must include observation time, position, and units. SAMOS observations are one-minute average values derived from higher frequency (~1 Hz) instrument samples. Fig. 1: SAMOS ship tracks for FY2008 and FY2009 color coded by operator. The Australians provide the only international data via the IMOS project. 1 Center for Ocean-Atmospheric Prediction Studies, Florida State University 2 Department of Meteorology, Florida State University 3 Lamont-Doherty Earth Observatory of Columbia University 1 Center for Ocean-Atmospheric Prediction Studies, Florida State University 2 Department of Meteorology, Florida State University 3 Lamont-Doherty Earth Observatory of Columbia University The Rolling Deck to Repository (R2R) project was recently launched with the ambitious goal of documenting routine underway data from the U. S. academic research fleet and delivering those data to established national archives. Data distributions will be submitted by 18 operating institutions for 30 vessels. SAMOS/R2R Partnership In 2003, NOAA established a data assembly center (DAC) at the Florida State University to provide data stewardship for underway meteorological and near-surface oceanographic data collected by research vessels. A partnership has been established between the R2R project and the DAC to extend SAMOS data stewardship to the U. S. academic fleet. The SAMOS Data Center The DAC has developed and implemented an automated data management system (DMS) that collects, formats, quality controls, distributes, and archives near real- time surface marine data from research vessels. A SAMOS is a computerized data logging system that continuously records navigational (ships position, course, speed, and heading), meteorological (winds, air temperature, pressure, moisture, rainfall, and radiation), and near- surface oceanographic (sea temperature, salinity, conductivity, fluorescence) parameters while the vessel is at sea. The SAMOS initiative relies on the high-quality instrumentation purchased and deployed by the research vessel operators and does not provide instrumentation to the vessels. Currently, 26 research vessels are providing routine SAMOS observations to the DAC. The Data Management System Presently, SAMOS data are acquired directly from research vessels at sea via a daily transfer protocol. The DMS automatically tracks progress of the daily data acquisition and quality control (QC), stores metadata on instrumentation and ships, and provides data monitoring capability via a user- friendly web interface. An SQL database stores essential parameters to support tracking, data QC, and version control throughout the process. R2R Real-time Data Protocol The DAC is developing new protocols to transfer SAMOS data from the academic fleet to shore. Ideally, the protocol will either allow operators to transmit high- frequency (~1 Hz) SAMOS data from participating vessels to real- time servers at R2R or the DAC to develop software/hardware that can be installed on each vessel. Under either protocol, the SAMOS DAC would support data reduction (averaging), shore-side monitoring, quality control, metadata acquisition, data distribution, and archival at a national data center. User Community The one-minute interval of SAMOS data and the tendency of research vessels to operate outside of routine shipping lanes makes the observations ideal for satellite and model validation and calibration. Other uses include: Developing satellite retrieval algorithms Air-sea interaction studies Ocean process studies Primary ocean production via radiative processes Validation of operational marine forecasts User Community The one-minute interval of SAMOS data and the tendency of research vessels to operate outside of routine shipping lanes makes the observations ideal for satellite and model validation and calibration. Other uses include: Developing satellite retrieval algorithms Air-sea interaction studies Ocean process studies Primary ocean production via radiative processes Validation of operational marine forecasts Preliminary processing is fully automated. Fig. 3: Original MS Word (above) and interactive web- based (right) SAMOS instrument metadata forms. Fig. 2: Examples of digital imagery from select SAMOS vessels. (far left) metadata collage from NOAAs Okeanos Explorer; (left) Frozen anemometer on USCG Healy; (right) instrument mast from the L. M. Gould. Metadata Challenge The SAMOS DAC endeavors to collect extensive ship and instrument metadata, including digital imagery (Fig. 2), to meet the scientific goals of our user community. Initially, metadata was requested using forms that could be transmitted via (Fig. 3). Although many operators fill out forms initially, tedious entry into our database was required and updates were difficult to obtain. New web-based forms (Fig. 3) were developed to allow operators to directly enter and update their metadata in our database. Web forms eased data entry, but are mostly used by DAC staff. In partnership with the R2R, the DAC will move to develop a protocol to automatically transfer necessary metadata along with the physical observations from ship to shore. Metadata Challenge The SAMOS DAC endeavors to collect extensive ship and instrument metadata, including digital imagery (Fig. 2), to meet the scientific goals of our user community. Initially, metadata was requested using forms that could be transmitted via (Fig. 3). Although many operators fill out forms initially, tedious entry into our database was required and updates were difficult to obtain. New web-based forms (Fig. 3) were developed to allow operators to directly enter and update their metadata in our database. Web forms eased data entry, but are mostly used by DAC staff. In partnership with the R2R, the DAC will move to develop a protocol to automatically transfer necessary metadata along with the physical observations from ship to shore. The Rolling Deck to Repository Project acknowledges support from the National Science Foundation, Oceanographic Instrumentation and Technical Services (OITS) Program. Base support for the SAMOS data center is provided by NOAAs Office of Climate Observation.


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