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25 December 2024 Observation History, [ANQ] Angola, timezone: America/Indiana/Indianapolis

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Show METARs   Show High Frequency MADIS

Previous Day
Time Wind
(mph)
Vis.
(mi.)
Sky Cond.
(100s ft)
Present Wx Temperature (ºF) Relative
Humidity
Pressure Snow
Depth
(in)
Precipitation (in.)
Air Dwpt Feels Like 6 hour altimeter
(in.)
sea level
(mb)
1 hr 3 hr 6 hr
Max.Min.
12:15 AMCalm10 OVC029
272527 93% 30.30
KANQ 250515Z AUTO 00000KT 10SM OVC029 M03/M04 A3030 RMK AO2
12:35 AMCalm10 272527 93% 30.30
KANQ 250535Z AUTO 00000KT 10SM M03/M04 A3030 RMK AO2
12:55 AMCalm10 OVC029
272527 93% 30.30
KANQ 250555Z AUTO 00000KT 10SM OVC029 M03/M04 A3030 RMK AO2
1:15 AMCalm10 OVC029
252525 100% 30.30
KANQ 250615Z AUTO 00000KT 10SM OVC029 M04/M04 A3030 RMK AO2
1:35 AMCalm10 OVC029
272527 93% 30.30
KANQ 250635Z AUTO 00000KT 10SM OVC029 M03/M04 A3030 RMK AO2
1:55 AMCalm10 OVC029
252525 100% 30.30
KANQ 250655Z AUTO 00000KT 10SM OVC029 M04/M04 A3030 RMK AO2
2:15 AMCalm10 OVC028
252525 100% 30.310
KANQ 250715Z AUTO 00000KT 10SM OVC028 M04/M04 A3031 RMK AO2
2:35 AMCalm10 OVC028
252525 100% 30.310
KANQ 250735Z AUTO 00000KT 10SM OVC028 M04/M04 A3031 RMK AO2
2:55 AMCalm10 OVC027
252525 100% 30.30
KANQ 250755Z AUTO 00000KT 10SM OVC027 M04/M04 A3030 RMK AO2
3:15 AMCalm10 BKN021
OVC026
272727 100% 30.30
KANQ 250815Z AUTO 00000KT 10SM BKN021 OVC026 M03/M03 A3030 RMK AO2
3:35 AMCalm10 OVC019
282828 100% 30.30
KANQ 250835Z AUTO 00000KT 10SM OVC019 M02/M02 A3030 RMK AO2
3:55 AMCalm10 OVC019
282828 100% 30.30
KANQ 250855Z AUTO 00000KT 10SM OVC019 M02/M02 A3030 RMK AO2
4:15 AMCalm10 OVC018
302830 93% 30.290
KANQ 250915Z AUTO 00000KT 10SM OVC018 M01/M02 A3029 RMK AO2
4:35 AMCalm10 OVC017
302830 93% 30.290
KANQ 250935Z AUTO 00000KT 10SM OVC017 M01/M02 A3029 RMK AO2
4:55 AMCalm10 OVC017
302830 93% 30.290
KANQ 250955Z AUTO 00000KT 10SM OVC017 M01/M02 A3029 RMK AO2
5:15 AMCalm10 OVC017
302830 93% 30.290
KANQ 251015Z AUTO 00000KT 10SM OVC017 M01/M02 A3029 RMK AO2
5:35 AME 510 OVC017
302825 93% 30.30
KANQ 251035Z AUTO 09004KT 10SM OVC017 M01/M02 A3030 RMK AO2
5:55 AMCalm10 OVC018
302830 93% 30.310
KANQ 251055Z AUTO 00000KT 10SM OVC018 M01/M02 A3031 RMK AO2
6:15 AMCalm10 OVC018
302830 93% 30.320
KANQ 251115Z AUTO 00000KT 10SM OVC018 M01/M02 A3032 RMK AO2
6:35 AMENE 310 OVC016
302827 93% 30.320
KANQ 251135Z AUTO 06003KT 10SM OVC016 M01/M02 A3032 RMK AO2
6:55 AMESE 310 OVC017
302827 93% 30.320
KANQ 251155Z AUTO 11003KT 10SM OVC017 M01/M02 A3032 RMK AO2
7:15 AMCalm10 322832 86% 30.320
KANQ 251215Z AUTO 00000KT 10SM M00/M02 A3032 RMK AO2
7:35 AME 510 OVC015
322827 86% 30.320
KANQ 251235Z AUTO 10004KT 10SM OVC015 M00/M02 A3032 RMK AO2
7:55 AMESE 310 OVC014
322829 86% 30.320
KANQ 251255Z AUTO 11003KT 10SM OVC014 M00/M02 A3032 RMK AO2
8:15 AMCalm10 OVC013
322832 86% 30.310
KANQ 251315Z AUTO 00000KT 10SM OVC013 M00/M02 A3031 RMK AO2
8:35 AMCalm10 OVC013
322832 86% 30.310
KANQ 251335Z AUTO 00000KT 10SM OVC013 M00/M02 A3031 RMK AO2
8:55 AMENE 510 OVC012
322827 86% 30.320
KANQ 251355Z AUTO 06004KT 10SM OVC012 M00/M02 A3032 RMK AO2
9:15 AME 610 OVC014
323026 93% 30.310
KANQ 251415Z AUTO 09005KT 10SM OVC014 M00/M01 A3031 RMK AO2
9:35 AME 610 OVC015
323026 93% 30.310
KANQ 251435Z AUTO 09005KT 10SM OVC015 00/M01 A3031 RMK AO2
9:55 AME 710 OVC013
323026 93% 30.310
KANQ 251455Z AUTO 08006KT 10SM OVC013 00/M01 A3031 RMK AO2
10:15 AME 710 OVC013
323026 93% 30.320
KANQ 251515Z AUTO 08006KT 10SM OVC013 00/M01 A3032 RMK AO2
10:35 AME 69 OVC013
323026 93% 30.320
KANQ 251535Z AUTO 08005KT 9SM OVC013 00/M01 A3032 RMK AO2
10:55 AME 78 OVC013
343228 93% 30.330
KANQ 251555Z AUTO 08006KT 8SM OVC013 01/M00 A3033 RMK AO2
11:15 AME 78 OVC013
343228 93% 30.320
KANQ 251615Z AUTO 08006KT 8SM OVC013 01/M00 A3032 RMK AO2
11:35 AMENE 75 OVC013
BR343228 93% 30.320
KANQ 251635Z AUTO 07006KT 5SM BR OVC013 01/00 A3032 RMK AO2
11:55 AME 101.75 BKN013
BR323224 100% 30.310
KANQ 251655Z AUTO 09009KT 1 3/4SM BR BKN013 00/00 A3031 RMK AO2

The IEM API webservice that provided data to this page. For more details, see documentation.

Data Notes

  • For recent years, this page also optionally shows observations from the MADIS High Frequency METAR dataset. This dataset had a problem with temperatures detailed here.