1. M. Belbéoch, belbeoch@jcommops.org http://argo.jcommops.org
8 June 2018
Global Argo Status
M. Belbéoch,

2. Outline Overview Implementation Data Flow Instrumentation Operations
8 June 2018
Overview
Implementation
Data Flow
Instrumentation
Operations
Biogeochemical Argo

3. Overview

4. Executive Summary Argo is doing very well, … IMPLEMENTATION
8 June 2018
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

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

6. Performance Indicators
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)

7. Key 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)

8. Key Performance Indicators
8 June 2018
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)

9. Key Performance Indicators
8 June 2018
Implementation – Data Spatial Coverage Yearly
Global: good.
Atlantic Ocean – very good
Pacific Ocean - very good.
Indian Ocean - good
Southern Ocean – poor

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

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

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

13. Latest monthly observations (gaps in blue).
Spatial Coverage
Latest monthly observations (gaps in blue).

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

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

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

17. Implementation

18. Distribution of operational floats by country
Implementation
Distribution of operational floats by country

19. Operational floats evolution, by national contribution.
Implementation
Operational floats evolution, by national contribution.

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

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

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

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

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

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

26. Simple density including deployment plans.
Implementation
Simple density including deployment plans.

27. Data Flow

28. Performance Indicators

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

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

31. Slightly better delays at NRL-MRY
Data Flow
Slightly better delays at NRL-MRY

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

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

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

35. A view on sampling levels.
Data Flow
A view on sampling levels.

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

37. A try to identify spatial trends in lower quality TEMP profiles.
Data Flow
8 June 2018
A try to identify spatial trends in lower quality TEMP profiles.

38. 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

39. Instrumentation

40. Instrumentation

41. Models evolution. Market leader on decrease since 2012.
Instrumentation
Models evolution. Market leader on decrease since 2012.

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

43. By float model, floats deployed since 2005
Reliability
By float model, floats deployed since 2005

44. Distribution of operational floats by model
Instrumentation
Distribution of operational floats by model

45. Instrumentation
51% Argos, 48% Iridium.

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

47. 5. Operations

48. Key 2016 Ships .

49. Cruise Plans
Some cruise plans Check our website for more information.

50. Biogeochemical Argo

51. Executive Summary
8 June 2018
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

52. Performance Indicators
Biogeochemical Argo
Performance Indicators

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

54. National Contributions
Some key Argo national programme are missing

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

56. Sensor Types

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

58. Oxygen

59. Fluorometer

60. Scatterometer

61. Radiometer

62. pH

63. Nitrate