Read in Recommended support checks about hopefully helpful practises used at ECMWF which can be shared. Some examples and source codes are also available there.
Support checks (on provider's end)
Centre | Data acquisition method | Data transfer check | Data delay check | Data completeness check | Data quality check | Data recovery option | |||
---|---|---|---|---|---|---|---|---|---|
Exists? | Time limit? | ||||||||
1 | BoM (ammc) | ecpds (ftp) | |||||||
2 | DMI (ekmi) | ecpds (ftp) | YES | NO | YES | YES | YES | 14 DAYS | |
3 | DWD (edzw) | ecpds (https) | |||||||
4 | ECCC (cwao) | ecpds (http) | NO | YES | NO | NO | YES | 4 DAYS | |
5 | ECMWF (ecmf) | MARS | N/A | YES | YES | YES | YES | NO | |
6 | FNMOC (fnmo) | ||||||||
7 | JMA (rjtd) | ecpds (push) | YES | ||||||
8 | KMA (rksl) | ecpds (push) | |||||||
9 | LOPS (lops) | ecpds (ftp) | YES | YES | YES | NO | YES | 1 DAY | |
10 | METEOAM (cnmc) | ecpds (pull from ecgb) | YES | NO | YES | NO | YES | 3 DAY | |
11 | METNO (enmi) | ecpds (push) | YES | YES | YES | NO | YES | ||
12 | METFR (lfpw) | ecpds (push) | YES | YES | YES | NO | YES | 2 YEARS | |
13 | NCEP (kwbc) | ecpds (ftp) | YES | YES | YES | YES | NO | ||
14 | NIWA (niwa) | ecpds (sftp) | |||||||
15 | NZMS (nzkl) | ecpds (ftps) | YES | YES | NO | NO | YES | 1 MONTH | |
16 | PdE (lemm) | ecpds (push) | YES | YES | YES | YES | NO | ||
17 | SHNSM (sabm) | ecpds (ftp) | YES | YES | YES | YES | YES | 9 DAYS | |
18 | UKMO (egrr) | ecpds (push) | YES | YES | YES | NO | NO |
- Data acquisition method: Acquisition method is pull from the provider's location to ECMWF's premises if not specified
- Data transfer check: Is the data transfer checked to avoid any technical issues on the way from provider's location to ECMWF's premises? Was the data delivered bit identical?
- Data delay check: Is the potential delay of data availability checked on the provider's side?
- Data completeness check: Is the data content (number of expected fields; reference field list etc) checked on the provider's side?
- Data quality check: Is there any data quality control to avoid e.g. unrealistic parameter values due to interpolation or any other kind of error either scientific or technical?
- Data recovery option: Is it possible to recover any missing/corrupted data when needed?
- If yes, is there any time limit when the data can be rescued? If yes, specify number of days within which the recovery action must happen.
Support incidents
Number of operational incidents since Sep 2018 per quarters
Year | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Quarter | Q4 | Q1 | Q2 | Q3 | Q4 | sum | Q1 | Q2 | Q3 | Q4 | sum | Q1 | Q2 | Q3 | Q4 | sum | Q1 | Q2 | Q3 | Q4 | sum | Q1 | Q2 | Q3 | Q4 | sum |
created | 12 | 9 | 15 | 7 | 6 | 37 | 9 | 12 | 12 | 19 | 52 | 16 | 18 | 14 | 18 | 66 | 17 | 11 | 21 | 19 | 68 | 18 | 14 | 6 | ||
updated | 12 | 10 | 18 | 10 | 7 | 45 | 11 | 15 | 18 | 25 | 69 | 28 | 24 | 17 | 28 | 97 | 24 | 15 | 24 | 24 | 87 | 29 | 27 | 12 | ||
closed | 8 | 9 | 16 | 7 | 4 | 36 | 8 | 10 | 11 | 17 | 46 | 23 | 21 | 12 | 19 | 75 | 21 | 10 | 13 | 11 | 55 | 21 | 20 | 9 |
- Number of updated incidents includes the newly created or closed ones
- Updated or closed incidents may refer to those from previous quarters
- Stats do not include system change tickets (=non-incidents)