Report of the outcome of the comparative study for the deep Argo quality control processing

Report of the most appropriate methods and tools in the quality control of deep Argo float

Report on the suitability of the actual reference data sets for deep Argo DMQC

This report provides an assessment of the availability and quality of the CTD reference data for Argo for the regions of deployments of the deep European Argo fleet

DMQC cookbook for core Argo parameters

This cookbook is to document the end-to-end processing chain of Delayed Mode Quality Control (DMQC) of Core Argo parameters. It provides guidelines on existing manuals, and explains best practices through case studies. This document was initiated after the 1st EU DMQC workshop held in Brest in April 2018, under the MOCCA project. Lately, this work has been undertaken under EuroArgo RISE project. The document is organized as follows. The first part gives some general information (e.g.: How to check quality indicators in delayed mode? What are the reference databases? How to correct pressure? How to use the OWC software to correct salinity? What are the common failures? etc.). The second part gives more specific information for the regional analysis (specific difficulties encountered, reference data available in regional seas, configuration parameters usually used, etc...). The regions covered so far are: the sub-polar Atlantic zone, the Nordic Seas, the Mediterranean and Black Seas, and the Southern Ocean. The third part of the cookbook presents detailed examples of delayed-mode processing for float data in these regions

From HMS Challenger to Argo and beyond

The data from ocean temperature and salinity profiles are fundamental in our understanding of Earth’s climate system and particularly ocean heat storage‐, a key contributor to sea level rise. The main source of these profiles is now Argo floats, which in the twenty‐first century have become a central element in climate change monitoring and forecasting. The meeting From HMS Challenger to Argo and beyond, which took place on 21 November 2018 at the National Oceanography Centre (NOC) in Southampton, highlighted the key developments in our ability to collect ocean profiles over the past 140 years, assessed the present situation, and looked to the future. The meeting was sponsored by the History Groups of the Royal Meteorological Society and the Challenger Society for Marine Science

Report on the implementation of a collaborative DMQC toolkit

Within WP2 of the Euro-Argo RISE project, our goal is to improve the quality of the Argo dataset. Beyond improving quality control methods, Task 2.4 assumes that an improved collaboration between Argo partners is the best way toward a long term and robust development of Argo (DM)QC activities, which ultimately lead to an improved Argo dataset. Using a thorough assessment of the Argo community historical practices with regard to QC activities, during a WP2 meeting held in Dec. 2019, we developed the Euro-Argo collaborative framework strategy to achieve the objective of improving Argo (DM)QC activities. This strategy encompasses 3 domains: -  Software (eg: development, performance, usage, access) -  Reference dataset (eg: content, access, availability) -  Data & expertise (eg: training, sharing, educating users) To implement this strategy, we have set-up in Dec. 2019, and developed throughout 2020, an online collaborative toolkit at github.com/euroargodev. This deliverable provides a complete report on the collaborative framework strategy and its implementation. The toolkit is organised around “repositories”: a collection of files (possibly) with online collaborative services like discussion threads (“Issues”), wiki pages, project management boards and a complete set of community development tools (based on “git”). The content of each repository can be shared through web sites or published with packages (eg “npm”, “docker”, etc ...) or a simple zip file release. The Euro-Argo partners have agreed to use this toolkit as the primary tool to share, distribute and work together on Argo community tools. This has been started during this first year. More than 45 people have registered and more than 20 repositories are being filled with Argo useful information and tools

D5.3 Improvement of the assessment of Argo floats in the Southern Ocean including Weddell sea as part of the Argo Southern Ocean ARC

<p>The report describes the progress made to improve the availability of the reference data in the Southern Ocean and also describe and test the new tool improving the selection of the reference data for the DMQC. This led to more robust results from the DMQC analysis and higher-quality of analysed salinity data in d-mode.</p&gt

D4.11 Recommendations for the data management and structure for BGC extension within the Argo system at EU level (including recommendations of task 4.2.1)

<p>Report providing recommendations for the data management and structure for the BGC extension at the European level.</p&gt

Observing the full ocean volume using Deep Argo floats

The ocean is the main heat reservoir in Earth’s climate system, absorbing most of the top-of-the-atmosphere excess radiation. As the climate warms, anomalously warm and fresh ocean waters in the densest layers formed near Antarctica spread northward through the abyssal ocean, while successions of warming and cooling events are seen in the deep-ocean layers formed near Greenland. The abyssal warming and freshening expands the ocean volume and raises sea level. While temperature and salinity characteristics and large-scale circulation of upper 2000 m ocean waters are well monitored, the present ocean observing network is limited by sparse sampling of the deep ocean below 2000 m. Recently developed autonomous robotic platforms, Deep Argo floats, collect profiles from the surface to the seafloor. These instruments supplement satellite, Core Argo float, and ship-based observations to measure heat and freshwater content in the full ocean volume and close the sea level budget. Here, the value of Deep Argo and planned strategy to implement the global array are described. Additional objectives of Deep Argo may include dissolved oxygen measurements, and testing of ocean mixing and optical scattering sensors. The development of an emerging ocean bathymetry dataset using Deep Argo measurements is also described