2,014 research outputs found
Argo Core and BGC merged profiles file processing and format on Coriolis GDAC
No full textIn 2014, Argo data management team decided to split core-Argo profiles and non-core-Argo profiles into two distinct profile files (C-File and B-File).
Both files have the same N_PROF dimension and, for each N_PROF, pressure values of the C-file are duplicated into the B-File.
A core-Argo profile file (C-File) contains the Core parameters provided by a float: pressure, temperature, salinity and conductivity.
The additional parameters are managed in a BGC-Argo data file (B-File). Two types of additional parameters are concerned: ‘intermediate’ parameters (provided by the float sensors) and BGC parameters (directly sampled by the float sensors or computed, at the DAC level, from Core and ‘intermediate’ parameters).
For a given float cycle and direction, the merged profile combines into one merged file (M-File) the Core and the BGC parameters. The M-File is generated by the GDAC, from the C-File and B-File provided by the DACs.
M-profile version 1
In version 1, the M-Profile is created from a concatenation of Core and BGC parameters (i.e. ‘intermediate’ parameters are ignored) along the common PRES axis of each N_PROF. Thus M-profile file has the same number of N_PROF arrays as the original C-File and B-File.
M-profile version 2
In version 2, the M-Profile is the merging of all N_PROF arrays of M-Profile version 1 into a single one.
Thus, in such M-Profile file:
- N_PROF = 1
- N_PARAM is equal to the number of Core and BGC parameters
The standard Argo profile structure is still used in M-Profile file: measurements are stored in a(N_PROF, N_LEVELS) array. However, as N_PROF = 1, we can consider that measurements are reported in a simple “matrix” of N_PARAM * N_LEVELS dimension: one column for each Core and BGC parameter, one level for each valid distinct pressure. The PRES vertical synthetic axis contains the sorted set of all valid distinct pressures. A valid pressure has a QC flag of ‘1’, ‘2’, ‘5’ or ‘8’ (‘good’, ‘probably good’, ‘changed’ or ‘estimated’ value). The number of valid distinct pressures is equal to N_LEVELS.
Each parameter value having a non-valid pressure is ignored.
A pressure value may have more than one value for a parameter (for example, BGC sensors may report specific Core parameter values that has been used to compute reported BGC parameter values). If the parameter is a Core-parameter, the value of the Core profile is selected. Otherwise, the first value of an ordered set (see “N_PROF priority” below) of the original N_PROF arrays is selected.
This document details the processing steps used to generate version 2 of merged profile data from Argo profile data. It also describes the format of the NetCDF files produced by the Coriolis GDAC to store these merged profile data
Sonic Layer Depth estimated from XBT temperatures and climatological salinities
No full textSonic layer depth (SLD) plays an important role in antisubmarine warfare in terms of identifying the shadow zones for submarine safe parking. SLD is estimated from sound velocity profiles (SVP) which is in turn obtained from temperature and salinity (T/S) profiles. Given the limited availability of salinity data in comparison to temperature, SVPs need to be obtained from alternate methods. In the present work, to make use of voluminous temperature data sets from XBT, CTD and other source for estimating SLD, we propose a method of utilizing XBT measurements and World Ocean Atlas climatological salinities to compute SVP and then extract SLD. This approach is demonstrated by utilizing T/S data from Argo floats in the Arabian Sea (40° – 80° E and 0 – 30° N). SLD is estimated from SVP obtained from Argo T/S profiles first and again by replacing the Argo salinity with climatological salinity. It is found that in more than 90% of cases, SLD matched exactly, with the root mean square deviation ranging from 3 – 12 m with an average of 7 m
Argo Quality Control Manual for CTD and Trajectory Data
No full textA CTD (conductivity, temperature, depth) device measures temperature and salinity versus pressure. This document is the Argo quality control manual for CTD and trajectory data. It describes two levels of quality control:
- The first level is the real-time system that performs a set of agreed automatic checks.
- The second level of quality control is the delayed-mode system.
These quality control procedures are applied to the parameters JULD, LATITUDE, LONGITUDE, PRES, TEMP, PSAL, and CNDC
25th Argo Data Management Team meeting, Trieste, 21-25 October 2024
No full textThe ADMT-25 - 25th Argo data management team meting took place in Trieste on 21-25 October 2024.
Drifting buoys DAC data quality control manual
No full textThis document is the Drifter quality control manual. It is derived from Argo floats quality control on trajectories (http://dx.doi.org/10.13155/33951).
Changes from the previous version of the manual are highlighted in yellow.
The Drifter data system has three levels of quality control.
- The first level is the real-time system that performs a set of agreed automatic checks on all drifter measurements. Real-time data with assigned quality flags are available to users within the 24-48 hrs timeframe.
- The second level of quality control is the delayed-mode system.
- The third level of quality control is regional scientific analyses of all drifter data with other available data. The procedures for regional analyses are still to be determined.
This document contains the description of the Drifter real-time and delayed-mode procedures
The Argo Program
No full textA global deep-ocean observing system, the Argo Program, was enabled by technology advances and implemented by a multi-national partnership of academic and governmental institutions and scientists, national agencies, and commercial providers. Development of the autonomous profiling float made Argo possible. Formation of key partnerships made it a reality. The Argo Steering Team and Argo Data Management Team coordinate among 25 national Argo Programs for deployment of the globally distributed array, and for uniform data communications, quality control, and data distribution. Deployment of the Argo array began in 1999, achieved 3000 floats in 2007, and has been sustained at about 4000 through the present. Ongoing innovations are expanding the partnerships, with Deep Argo floats profiling to the sea floor and Biogeochemical Argo floats carrying dissolved oxygen, pH, nitrate, and bio-optical sensors. The Argo partnership has created and sustained an unprecedented observational network for climate assessment, research, education and operational oceanography
LOCODOX: a Software for Argo Oxygen data correction - User Manual
No full textLOCODOX is a MATLAB based interactive software that corrects dissolved oxygen concentration data acquired by Argo profiling floats. The correction schemes are based on Takeshita et al (2013) and Bittig and Kortzinger (2018). Three types of correction are proposed : a pressure dependent correction, a time drift correction and a slope/ offset correction (also called Gain correction). LOCODOX works with Argo v3.1 netcdf files and provides files with corrected and well formatted delayed mode Argo data compliant with the Argo format (Argo Data Management Team, 2019). LOCODOX corrects only oxygen data available in the vertical profiles. This document describes the methodology and the strategy followed by the tool, and it explains how to install and use LOCODOX.LOCODOX est un logiciel interactif développé sur la base du progiciel MATLAB pour corriger les valeurs de concentration d’oxygène dissous dans l’eau de mer acquises par les profileurs dérivants ARGO. Les schémas de correction sont basés sur les travaux de Takeshita et al (2013) and Bittig et Kortzinger (2018). Ces schémas proposent des corrections de la dépendance à la pression, de la dérive temporelle et du gain. LOCODOX lit les fichiers netcdf au format ARGO v3.1 et produit en sortie des fichiers temps différé compatible au format ARGO (Argo Data Management Team, 2019). LOCODOX ne corrige que les données des profils verticaux. Ce document décrit la méthodologie et la stratégie suivies dans ce logiciel, il explique aussi la procédure d’installation et d’utilisation de LOCODOX
EGO gliders NetCDF format reference manual
No full textThis document specifies the NetCDF file format of EGO-gliders that is used to distribute glider data, metadata and technical data. It documents the standards used therein; this includes naming conventions as well as metadata content. It was initiated in October 2012, based on OceanSITES, Argo and ANFOG user's manuals. Everyone’s Gliding Observatories - EGO is dedicated to the promotion of the glider technology and its applications. The EGO group promotes glider applications through coordination, training, liaison between providers and users, advocacy, and provision of expert advice. We intend to favor oceanographic experiments and the operational monitoring of the oceans with gliders through scientific and international collaboration. We provide news, support, information about glider projects and glider data management, as well as resources related to gliders. All EGO data are publicly available. More information about the project is available at: http://www.ego-network.or
Marine-mammals NetCDF formats and conventions
No full textThe instrumented sea-mammals program is the global network of open-ocean in-situ observations, being implemented by an international partnership of researchers. Instrumented sea-mammals provide trajectories and vertical profiles of various physical, biogeochemical variables in different regions around the globe. The program’s objective is to build and maintain a multidisciplinary global network for a broad range of research and operational applications including biology, climate and ecosystem variability and forecasting and ocean state validation.
Sea-mammals data are publicly available. More information about the project is available at: http://www.coriolis.eu.org/Observing-the-Ocean/Marine-Mammals
The main purpose of this document is to specify the format of the files that are used to distribute Sea-mammals data, and to document the standards used therein. This includes naming conventions, or taxonomy, as well as metadata content.
This document is derived from the “Argo NetCDF user’s manual”, adapted and specialized to Sea-mammals in-situ observations (wheras Argo is specialized in floats ocean observations)
REPORT ON BEST PRACTICES FOR CITABILITY OF DATA AND ON EVOLVING ROLES IN SCHOLARLY COMMUNICATION
No full textThis report sets out the current thinking on data citation best practice and presents the results of a survey of librarians asking how new support roles could and should be developed
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