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Update on 01 June 2022
44 Campbell AWSs, 23 stations configured sending data to “WMO FTP server → WIS2 node in a box → WDQMS”
KPI
Overview of the Data Integrity
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Number of files over 19 (data integrity>80%)
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Number of files below 12 (data integrity <= 50%)
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WSI | Average of Integrity Percentage |
0-454-2-a10343014 | 32,43% |
0-454-2-AWANAMBUMA | 13,85% |
0-454-2-AWSBALAKA | 42,10% |
0-454-2-AWSBILIRA | 44,97% |
0-454-2-AWSCHIDOOLE | 14,06% |
0-454-2-AWSKALAMBO | 44,06% |
0-454-2-AWSKASIYA | 48,32% |
0-454-2-AWSKASUNGUNP | 44,55% |
0-454-2-AWSLENGWE | 43,61% |
0-454-2-AWSLOBI | 47,42% |
0-454-2-AWSMAKANJIRA | 48,13% |
0-454-2-AWSMLARE | 41,06% |
0-454-2-AWSMLOMBA | 7,85% |
0-454-2-AWSNANKUMBA | 39,00% |
0-454-2-AWSNKHOMA | 33,10% |
0-454-2-AWSNKHULAMBE | 39,79% |
Comparison
 |  Fig. 2 2022/05  |
Update
WDQMS
On 2 Dec, 8 stations stop sending BUFR data on 2 Dec.
From 6 Dec. to 13 Dec., 7 stations resume sending BUFR data with decreasing files
From 14 Dec., no data available on WDQMS
Online
From 14 Dec, 4 stations are online (maybe out of cellular services)
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Annotation
Station: Station name from OSCAR
WSI: from OSCAR
WDQMS-ECMWF: wdqms.wmo.int (montiored by ECMWF)
Project: WIS2.0 Demonstration Project - Malawi Data Exchange
MoU Antennas installation: written in MoU (10 stations)
Installed already: antennas have been installed (7 stations)
Configured on AWS: stations are configured on the Amazon server (24 stations)
Online: from Amazon server
BUFR ready: from Campbell Scientific (10 stations)
No | Station | WIGOS Station Identifier(WSI) | WDQMS-ECMWF | OSCAR | Project | MoU Antennas Installation | Installed Already | Configured on AWS | Online | BUFR ready | Battery Status |
1 | BALAKA | 0-454-2-AWSBALAKA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
2 | BILIRA | 0-454-2-AWSBILIRA | black | Y | YES | NULL | NULL | YES | |||
3 | CHELINDA - NYIKA | 0-454-2-AWSCHELINDA | black | Y | YES | Yes | Yes | ||||
4 | CHIDOOLE | 0-454-2-AWSCHIDOOLE | black | Y | YES | NULL | NULL | YES | YES | ||
5 | CHIKANGAWA | 0-454-2-AWSCHIKANGAWA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
6 | CHIKWEO | 0-454-2-AWSCHIKWEO | black | Y | YES | NULL | NULL | ||||
7 | CHINGALE | 0-454-2-AWSCHINGALE | black | Y | YES | Yes | No | ||||
8 | CHINTHECHE | 0-454-2-AWSCHINTHECHE | black | Y | YES | NULL | NULL | ||||
9 | DOMASI | 0-454-2-AWSDOMASI | black | Y | NULL | NULL | NULL | ||||
10 | KALAMBO | 0-454-2-AWSKALAMBO | black | Y | YES | NULL | NULL | ||||
11 | KAMEME | 0-454-2-AWSKAMEME | black | Y | NULL | NULL | NULL | ||||
12 | KASIYA AWS | 0-454-2-AWSKASIYA | black | N-Yes | YES | NULL | NULL | YES | |||
13 | KASUNGU NATIONAL PARK AWS | 0-454-2-AWSKASUNGUNP | black | Y | YES | Yes | No | YES | |||
14 | KAWALAZI | 0-454-2-AWSKAWALAZI | black | Y | YES | NULL | NULL | YES | |||
15 | KAYEREKERA | 0-454-2-AWSKAYEREKERA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
16 | LENGWE NATIONAL PARK | 0-454-2-AWSLENGWE | black | Y | YES | NULL | NULL | ||||
17 | LIWONDE NATIONAL PARK | 0-454-2-AWSLIWONDENP | black | Y | YES | Yes | Yes | ||||
18 | LOBI AWS | 0-454-2-AWSLOBI | purple | N-YES | YES | NULL | NULL | YES | YES | YES | |
19 | LUCHENZA | 0-454-2-AWSLUCHENZA | black | Y | YES | NULL | NULL | ||||
20 | MAKANJIRA | 0-454-2-AWSMAKANJIRA | black | Y | YES | NULL | NULL | YES | |||
21 | MALINGUNDE | 0-454-2-AWSMALINGUNDE | black | Y | YES | NULL | NULL | ||||
22 | MALOMO | 0-454-2-AWSMALOMO | purple | Y | YES | NULL | NULL | YES | YES | YES | |
23 | MASAMBANJATI AWS | 0-454-2-AWSMASAMBANJATI | black | N-YES | YES | NULL | NULL | YES | YES | ||
24 | MAYANI | 0-454-2-AWSMAYANI | black | Y | YES | Yes | Yes | YES-no synop | YES-no synop | ||
25 | MBAWA | 0-454-2-AWSMBAWA | black | Y | YES | NULL | NULL | ||||
26 | MBULUMBUZI | 0-454-2-AWSMBULUMBUZI | black | Y | NULL | NULL | NULL | ||||
27 | MBWAZI | 0-454-2-AWSMBWAZI | black | Y | YES | NULL | NULL | YES | |||
28 | MERU | 0-454-2-AWSMERU | black | Y | YES | NULL | NULL | ||||
29 | Mhuju | 0-454-2-a10343014 | black | N-YES | YES | NULL | NULL | YES | YES | ||
30 | MISUKU | 0-454-2-AWSMISUKU | black | Y | YES | NULL | NULL | ||||
31 | MLARE | 0-454-2-AWSMLARE | black | Y | YES | NULL | NULL | YES | YES | ||
32 | MLOMBA | 0-454-2-AWSMLOMBA | black | Y | YES | NULL | NULL | YES | |||
33 | MLOWE | 0-454-2-AWSMLOWE | black | Y | YES | Yes | Yes | ||||
34 | MPEMBA | 0-454-2-AWSMPEMBA | black | Y | YES | NULL | NULL | ||||
35 | MPONELA | 0-454-2-AWSMPONELA | black | Y | NULL | NULL | NULL | ||||
36 | MTOSA BENGA | 0-454-2-AWSMTOSABENGA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
37 | MVERA | 0-454-2-AWSMVERA | black | Y | YES | Yes | No | ||||
38 | MWIMBA | 0-454-2-AWSMWIMBA | black | Y | YES | NULL | NULL | ||||
39 | NAMBUMA | 0-454-2-AWANAMBUMA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
40 | NAMITAMBO | 0-454-2-AWSNAMITAMBO | black | Y | YES | NULL | NULL | YES | YES | YES | |
41 | NANKUMBA | 0-454-2-AWSNANKUMBA | black | Y | YES | NULL | NULL | ||||
42 | NGABU | 0-454-2-AWSNGABU | black | Y | YES | Yes | Yes | ||||
43 | NJOLOMOLE | 0-454-2-AWSNJOLOMOLE | black | Y | YES | NULL | NULL | ||||
44 | NKHOMA UNIVERSITY | 0-454-2-AWSNKHOMA | purple | Y | YES | NULL | NULL | YES | YES | YES | |
45 | NKHULAMBE | 0-454-2-AWSNKHULAMBE | black | Y | YES | Yes | Yes | YES | YES | ||
46 | NYACHILENDA | 0-454-2-AWSNYACHILENDA | black | Y | YES | Yes | Yes | ||||
47 | RUMPHI | 0-454-2-AWSRUMPHI | black | Y | NULL | NULL | NULL | ||||
48 | TOLEZA | 0-454-2-AWSTOLEZA | black | Y | YES | NULL | NULL | YES | YES | YES | |
49 | ZOMBA AIRWING | 0-454-2-AWSZOMBAAIRWING | black | Y | YES | NULL | NULL |
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