Table of Contents
Data Processing
Overview
See Overview Document (MS Word) for a full description of data processing framework at NCCOOS.
Components
archive_raw
Getting Level 0 (raw form) data automatically from all the platforms and packages is the first priority of data processing. The archiving part is to ensure that the data are put into a formal directory structure and location that can be accessed for further processing and backed up easily. It is also crucial that this data is available for reprocessing.
- Source | Releases | Tickets | Current milestone | Documentation
raw2proc
Process Level 0 (raw form) to Level 1 (monthly netCDF), which generally involves parsing ascii or binary data, combining measured parameters to get desired derived parameters, and perform some basic data quality checks.
proc2plot
Process Level 1 (monthly netCDF), into graphical products.
- Source | Releases | Tickets | Current milestone | Documentation
pyglider
Utilities to process data in realtime for monitoring gliders while on missions. Convert dbd2asc for sbd and tbd files in realtime. Create kml file for different glider tracks to work in Google Earth (GE) or the custom GE API under visualization.
DPWP
A Doppler Profiler Waves Processing toolbox for the RDI ADCP and Nortek AWAC
- Wiki | Source | Releases | Tickets | Documentation
sodar
spongenet
q2o
Help Using NCCOOS Trac
- NCCOOS Trac System Guide
- aTracSprint -- NCCOOS Sprint to learn Trac and SVN