Argo Monthly Report 2016/09

JCOMM in situ Observations Programme Support Centre October 2016

Global ArgoStatus

M. Belbéoch, [email protected]

http://argo.jcommops.org

mailto:[email protected]

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 DesignTarget = ~3800 floats and optimal coverage, double density in Marginal Seas


Implementation – Activity

• Global array optimal (quantitatively) – on light decrease

• Atlantic Ocean optimal• Indian 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• Indian Ocean optimal• Southern Ocean optimal (to be sustained)

Key Performance Indicators


Implementation – Data Spatial CoverageMonthly

• 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 CoverageYearly

• Global: good. • Atlantic Ocean – very good • Pacific Ocean - very good.• Indian Ocean - good• Southern Ocean – poor



National contributions3804 floats are fully operational amongst the 4016 registered.

New contribution from Peru (via WHOI donations)


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


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


Spatial CoverageLatest monthly observations (gaps in blue).


Network GrowthNetwork 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 ExpectancyFloat reliability has been slowly progressing and new floats generation

seems promising


Implementation


ImplementationDistribution of operational floats by country


ImplementationOperational floats evolution, by national contribution.


ImplementationOperational floats evolution, by national contribution.

Zoom (no USA).


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


ImplementationAge = (Latest Observation date – Deployment date).


ImplementationOld (red) / young (blue) spatial clusters.


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


ImplementationPlease keep updating your deployment plans for 2016 (and 2017)


ImplementationSimple density including deployment plans.


Data Flow


Performance Indicators


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


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


Data FlowSlightly better delays at NRL-MRY


Data FlowGDACs Delays, by DAC.

India is transiting to a new data processing chains (should improve)


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


Data FlowA month of observations (at IFREMER) by DAC.


Data FlowA view on sampling levels.


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


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


Data FlowData 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


InstrumentationModels evolution. Market leader on decrease since 2012.


InstrumentationModels evolution - Zoom (no APEX)

Clear increasing trend for ARVOR, NAVIS_A, SOLO_II and S2A. NOVA


ReliabilityBy float model, floats deployed since 2005


InstrumentationDistribution of operational floats by model


Instrumentation51% Argos, 48% Iridium.


InstrumentationTelecommunication Types Evolution.

Not all partners are switching to Iridium. New: Beidou


5. Operations


Key 2016 Ships.


Cruise PlansSome 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 ArgoPerformance Indicators


Biogeochemical ArgoGrowth of operational floats

(monthly distinct floats at GDACs)


National ContributionsSome key Argo national programme are missing


National ContributionsGrowth of operational floats

(monthly distinct floats at GDACs)


Sensor Types


Sensor TypesGrowth in float capabilities (BGC data availability not checked)


Oxygen


Fluorometer


Scatterometer


Radiometer


pH


Nitrate

Argo Monthly Report 2016/09

Environment

Transcript of Argo Monthly Report 2016/09