Argo Monthly Report 2016/09

JCOMM in situ Observations Programme Support Centre October 2016
Global Argo
Status
M. Belbéoch,
belbeoch@jcommops.org
http://argo.jcommops.org

• Overview
• Implementation
• Data Flow
• Instrumentation
• Operations
• Biogeochemical Argo
Outline

Overview

Argo is doing very well, …
IMPLEMENTATION
• New design & targets: Global Argo = ~3800 floats
• Atlantic Ocean optimal – deploy the excess in the Southern Ocean
• Indian Ocean optimal
• Pacific Ocean lightly over populated but clusters of old floats developing
• Southern Ocean half implemented (improving) – strong seasonal bias for
RT data.
DATA FLOW
• Optimize real-time distribution and delays
• Challenge to re-process data files in delayed-mode (68% achieved)
INSTRUMENTATION
• Float reliability keeps progressing
Executive Summary

Global Argo Design
Target = ~3800 floats and optimal coverage, double density in Marginal Seas

Implementation – Activity
• Global array optimal (quantitatively) – on light decrease
• Atlantic Ocean optimal
• Pacific Ocean lightly over populated (WBC and Equatorial pilot projects)
• Southern Ocean half implemented (improving)
Performance Indicators

Implementation – Intensity of deployments
• Global array deployments optimal – send excess to Southern Ocean
• Atlantic Ocean 25% over seeding (may not be required)
• Pacific Ocean optimal
• Southern Ocean optimal (to be sustained)
Key Performance Indicators

Implementation – Data Spatial Coverage
Monthly
• Global: good. To review metric and target (too conservative)
• Atlantic Ocean - good
• Pacific Ocean - very good.
• Indian Ocean - good
• Southern Ocean – poor (seasonal bias with real-time data and
deployments)

Implementation – Data Spatial Coverage
Yearly
• Global: good.
• Atlantic Ocean – very good
• Pacific Ocean - very good.
• Indian Ocean - good
• Southern Ocean – poor

National contributions
3804 floats are fully operational amongst the 4016 registered.
New contribution from Peru (via WHOI donations)

Networks
Argo Equivalent (9%), Argo Bio (8%), Argo Deep (0.4%).

Spatial Coverage
A year of Argo monthly observations (gaps in blue).

Spatial Coverage
Latest monthly observations (gaps in blue).

Network Growth
Network evolution – light decrease
Distinct floats distributing observations at GDACs (monthly).

Future?
Network Evolution – trajectory
1000 units/year; 20% failure rate/year; 0.03 inflation rate

Life Expectancy
Float reliability has been slowly progressing and new floats generation
seems promising

Implementation

Implementation
Distribution of operational floats by country

Implementation
Operational floats evolution, by national contribution.

Implementation
Operational floats evolution, by national contribution.
Zoom (no USA).

Implementation
Simple float density as of 01/10/2016, 6°x6°.

Implementation
Age = (Latest Observation date – Deployment date).

Implementation
Old (red) / young (blue) spatial clusters.

Implementation
float density: decimal floats, weighted by their probability to survive one year

Implementation
Please keep updating your deployment plans for 2016 (and 2017)

Implementation
Simple density including deployment plans.

Data Flow

Data Flow
Confirm float status (e.g. deployment failure) or enable data distribution.

Data Flow
Delays at IFREMER are rather good, except for a few DACs.

Data Flow
Slightly better delays at NRL-MRY

Data Flow
GDACs Delays, by DAC.
India is transiting to a new data processing chains (should improve)

Data Flow
Ifremer is adding 3h to data distribution in average. (to investigate)

Data Flow
A month of observations (at IFREMER) by DAC.

Data Flow
A view on sampling levels.

Data Flow
A try to identify spatial trends in lower quality PSAL profiles.

Data Flow
A try to identify spatial trends in lower quality TEMP profiles.

Data Flow
Data flow: All observations : 20 Obs/Day.
Delayed-Mode QC Achieved/DMQC_ELIGIBLE ratio = 68%.
2/3 of the challenge resides in regular Argo programmes

Instrumentation

Instrumentation
Models evolution. Market leader on decrease since 2012.

Instrumentation
Models evolution - Zoom (no APEX)
Clear increasing trend for ARVOR, NAVIS_A, SOLO_II and S2A. NOVA

Reliability
By float model, floats deployed since 2005

Instrumentation
Distribution of operational floats by model

Instrumentation
51% Argos, 48% Iridium.

Instrumentation
Telecommunication Types Evolution.
Not all partners are switching to Iridium.
New: Beidou

5. Operations

Key 2016 Ships
.

Cruise Plans
Some cruise plans registered @jcommops
Check our website for more information.

Biogeochemical Argo

Biogeochemical Argo needs to double the effort to reach its target and
implement the full package (6 sensors) on all floats
IMPLEMENTATION
• Activity stabilizing at 30%
• Intensity of deployments 45% to be doubled
DATA FLOW
• Optimize real-time distribution and delays, in cooperation with existing
Argo National Data Centres
INSTRUMENTATION
• Sensor diversity progressing (data availability by sensor to be checked)
• But 45% of the network is Oxygen only
Executive Summary

Biogeochemical Argo

Biogeochemical Argo
Growth of operational floats
(monthly distinct floats at GDACs)

National Contributions
Some key Argo national programme are missing

National Contributions
Growth of operational floats
(monthly distinct floats at GDACs)

Sensor Types

Sensor Types
Growth in float capabilities (BGC data availability not checked)

Oxygen

Fluorometer

Scatterometer

Radiometer

pH

Nitrate

Argo Monthly Report 2016/09

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