Status on anomalies detected with altimetry
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1 Status on anomalies detected with altimetry Stéphanie Guinehut CLS, Environmental Monitoring - 1 -
2 Status on the anomalies detected since June Anomalies Feedbacks Series1 Series
3 Status on the anomalies detected since June 2008 Status distributed through the AIC since Nov 2010 and recorded in the AIC database Two tags are included in the subject of the (since Dec 2016): CHK : check BLK: grey list An is sent for each anomaly to the DAC & the DM-Operator The full list is also available here: ftp://ftp.ifremer.fr/ifremer/argo/etc/argoast9-item13-altimetercomparison/qc_argo_alti_ txt - 3 -
4 Status on the anomalies detected since June 2008 Please feedback using the link provided in the so that your feedback is also recorded THANK YOU for all feedbacks received so far!! Open discussion (I have received complains): The number of new floats extracted every quarter is small (17 in August 2017: 12 aoml, 1 bodc, 1 coriolis, 1 jma, 1 meds, 1 kma) BUT the number of s could be much bigger if you have backlogs!! Who shall receive the s (DAC & DM-Operator)? Who shall do what? Still some BLK to be corrected (including backlogs), BLK floats to be put on priority list for DMQC - 4 -
5 Status on the anomalies detected in August 2017 Last distribution # floats 115 floats extracted : 59 R, 54 A, 2 D 12 BLK, 103 CHK More and more floats in the list : They are more and more floats into the water Some floats are in the list since too long backlogs have to be corrected Relative to the fact that ~50 % of the floats extracted show only one isolated very bad profile - 5 -
6 Status on the anomalies detected in August 2017 By DAC DAC Number of floats aoml 75 bodc 3 coriolis 8 csio 2 incois 20 jma 1 kma 3 kordi 1 meds 2-6 -
7 Status on the anomalies detected in August 2017 Drift / BLK - 7 -
8 Status on the anomalies detected in August 2017 Drift / BLK - 8 -
9 Status on the anomalies detected in August 2017 Spike / CHK - 9 -
10 Status on the anomalies detected in August 2017 Spike / CHK
11 Quality flags values Analysis performed on: French Argo GDAC files as of October different platform profiles Rejection of floats: With no conductivity sensor With FSI conductivity sensor Identified as TNPD
12 wmo_inst_type wmo_inst_type number of floats type of float PROVOR, No conductivity sensor PROVOR, FSI conductivity sensor Webb Research, no conductivity sensor Webb Research, FSI conductivity sensor SOLO, FSI conductivity sensor Total Total number of floats : No conductivity sensor : 104 floats, profiles FSI conductivity sensor : 422 floats, profiles TNPD : 379 floats, profiles
13 Quality flags values JULD_QC 0, 1, 5, 8 Very stable compared to last year analysis JULD_QC profiles profiles %total ,01% ,81% ,01% ,00% ,21% ,00% ,96% 9 1 0,00% empty 0 0,00% TOTAL ,00% POSITION_QC 0, 1, 5, 8 POSITION_QC profiles profiles %total 0 6 0,00% ,41% ,04% ,03% ,11% ,00% ,02% ,40% empty 15 0,00% TOTAL ,00%
14 Definition of a valid measurement Quality flags values for PRES: PRES_QC= 0 or 1 and PRES default, for TEMP: TEMP_QC= 1 and TEMP default, for PSAL: PSAL_QC= 1 and PSAL default. % of profiles having no valid measurements 10.00% 9.00% 8.35% 8.39% 9.05% 8.00% 7.00% 6.00% 5.00% 4.96% 5.73% 91 % of remaining Argo profiles have at least one valid measurement 4.00% 3.00% 2.00% 1.00% 0.00% (85 % as of last year s analysis considering ALL profiles)
15 General quality of Argo dataset All profiles, QC= 1 = profiles (as of August 2016) Floats Correlation Mean difference (cm) Rms difference (cm) All profiles, QC= 1 = profiles (as of August 2017) Statistics are again degraded for R observations, Nb of D increases Rms difference (%) Nb profiles % Total profiles ALL DATA_MODE= R DATA_MODE= A DATA_MODE= D Floats Correlation Mean difference (cm) Rms difference (cm) Rms difference (%) Nb profiles % Total profiles ALL 0,86 0,46 5,01 24, DATA_MODE= R 0,79 1,00 6,08 37, ,0 DATA_MODE= A 0,84 1,24 5,46 24, ,7 DATA_MODE= D 0,88 0,07 4,61 22, ,3
16 General quality of Argo dataset Rms difference % var(sla) Rms difference cm Statistics are degraded for R observations
17 General quality of Argo dataset Rms difference % var(sla) Rms difference cm Statistics are improved when data from the 115 floats present in the Alti QC list are rejected
18 Order of magnitude of delayed time adjustments PSAL adjustments ( profiles 7256 floats QC= 1 ) < 0.05 psu < 0.02 psu < 0.01 psu < psu *computed as the last valid value for each profile
19 Order of magnitude of delayed time adjustments PSAL adjustments < 0.05 psu < 0.02 psu < 0.01 psu < psu
20 Order of magnitude of delayed time adjustments PRES adjustments < 10 dbar < 5 dbar < 1 dbar = 0 dbar
21 Order of magnitude of delayed time adjustments PRES adjustments < 10 dbar < 5 dbar < 1 dbar = 0 dbar
22 Order of magnitude of delayed time adjustments DHA adjustments < 5 cm < 2 cm < 1 cm < 0.1 cm
23 Order of magnitude of delayed time adjustments DHA adjustments < 5 cm < 2 cm < 1 cm < 0.1 cm
24 Order of magnitude of delayed time adjustments DHA adjustments // SLA < 10 cm < 5 cm < 2 cm < 1 cm
25 Order of magnitude of delayed time adjustments DHA adjustments // SLA < 10 cm < 5 cm < 2 cm < 1 cm
26 Perspectives Continue the quarterly analysis Follows the general quality of Argo dataset (global statistics) Continue to work with some of you to clean the datasets (115 floats in the list)
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