15 June 2025 Observation History, [CMD] Cullman, timezone: America/Chicago

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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 AMSSW 510 CLR
707070 100% 30.080
KCMD 150515Z AUTO 21004KT 10SM CLR 21/21 A3008 RMK AO2
12:35 AMSSW 510 CLR
686868 100% 30.070
KCMD 150535Z AUTO 21004KT 10SM CLR 20/20 A3007 RMK AO2
12:55 AMSSW 510 CLR
686868 100% 30.060
KCMD 150555Z AUTO 21004KT 10SM CLR 20/20 A3006 RMK AO2
1:15 AMSSW 610 CLR
686868 100% 30.060
KCMD 150615Z AUTO 19005KT 10SM CLR 20/20 A3006 RMK AO2
1:35 AMSSW 610 CLR
686868 100% 30.060
KCMD 150635Z AUTO 19005KT 10SM CLR 20/20 A3006 RMK AO2
1:55 AMS 79 BKN003
707070 100% 30.050
KCMD 150655Z AUTO 17006KT 9SM BKN003 21/21 A3005 RMK AO2
2:15 AMSSW 72 OVC002
BR686868 100% 30.050
KCMD 150715Z AUTO 19006KT 2SM BR OVC002 20/20 A3005 RMK AO2
2:35 AMSSW 72.5 OVC002
BR707070 100% 30.050
KCMD 150735Z AUTO 19006KT 2 1/2SM BR OVC002 21/21 A3005 RMK AO2 VIS 1 3/4V3
2:55 AMSSW 63 OVC002
BR686868 100% 30.050
KCMD 150755Z AUTO 19005KT 3SM BR OVC002 20/20 A3005 RMK AO2
3:15 AMSSW 66 OVC003
BR686868 100% 30.060
KCMD 150815Z AUTO 21005KT 6SM BR OVC003 20/20 A3006 RMK AO2
3:35 AMSSW 79 OVC003
707070 100% 30.070
KCMD 150835Z AUTO 20006KT 9SM OVC003 21/21 A3007 RMK AO2
3:55 AMSW 610 OVC003
707070 100% 30.070
KCMD 150855Z AUTO 22005KT 10SM OVC003 21/21 A3007 RMK AO2
4:15 AMSSW 99 OVC003
707070 100% 30.080
KCMD 150915Z AUTO 21008KT 9SM OVC003 21/21 A3008 RMK AO2
4:35 AMSSW 96 OVC003
BR707070 100% 30.090
KCMD 150935Z AUTO 21008KT 6SM BR OVC003 21/21 A3009 RMK AO2
4:55 AMSW 85 OVC003
BR707070 100% 30.090
KCMD 150955Z AUTO 22007KT 5SM BR OVC003 21/21 A3009 RMK AO2
5:15 AMSSW 79 OVC003
707070 100% 30.10
KCMD 151015Z AUTO 21006KT 9SM OVC003 21/21 A3010 RMK AO2
5:35 AMSSW 97 OVC003
707070 100% 30.10
KCMD 151035Z AUTO 21008KT 7SM OVC003 21/21 A3010 RMK AO2
5:55 AMSSW 93 OVC003
BR707070 100% 30.110
KCMD 151055Z AUTO 20008KT 3SM BR OVC003 21/21 A3011 RMK AO2
6:15 AMVRB 54 OVC003
BR707070 100% 30.110
KCMD 151115Z AUTO VRB04KT 4SM BR OVC003 21/21 A3011 RMK AO2
6:35 AMSSW 610 OVC003
707070 100% 30.110
KCMD 151135Z AUTO 21005KT 10SM OVC003 21/21 A3011 RMK AO2
6:55 AMSW 610 OVC005
707070 100% 30.110
KCMD 151155Z AUTO 22005KT 10SM OVC005 21/21 A3011 RMK AO2
7:15 AMCalm10 OVC005
727272 100% 30.120
KCMD 151215Z AUTO 00000KT 10SM OVC005 22/22 A3012 RMK AO2
7:35 AMSSW 510 OVC005
727272 100% 30.120
KCMD 151235Z AUTO 19004KT 10SM OVC005 22/22 A3012 RMK AO2
7:55 AMSSW 610 OVC007
727272 100% 30.130
KCMD 151255Z AUTO 20005KT 10SM OVC007 22/22 A3013 RMK AO2
8:15 AMSW 610 BKN007
737273 94% 30.130
KCMD 151315Z AUTO 23005KT 10SM BKN007 23/22 A3013 RMK AO2
8:35 AMVRB 510 BKN008
OVC012
737273 94% 30.130
KCMD 151335Z AUTO VRB04KT 10SM BKN008 OVC012 23/22 A3013 RMK AO2
8:55 AMSW 510 OVC010
737273 94% 30.130
KCMD 151355Z AUTO 22004KT 10SM OVC010 23/22 A3013 RMK AO2
9:15 AMSW 610 OVC010
737273 94% 30.130
KCMD 151415Z AUTO 22005KT 10SM OVC010 23/22 A3013 RMK AO2
9:35 AMSSW 710 OVC012
757275 89% 30.130
KCMD 151435Z AUTO 21006KT 10SM OVC012 24/22 A3013 RMK AO2
9:55 AMVRB 510 OVC013
757275 89% 30.130
KCMD 151455Z AUTO VRB04KT 10SM OVC013 24/22 A3013 RMK AO2
10:15 AMSSW 710 OVC013
777377 89% 30.130
KCMD 151515Z AUTO 20006KT 10SM OVC013 25/23 A3013 RMK AO2
10:35 AMVRB 510 OVC015
777277 83% 30.120
KCMD 151535Z AUTO VRB04KT 10SM OVC015 25/22 A3012 RMK AO2
10:55 AMSW 510 OVC015
777277 83% 30.120.01
KCMD 151555Z AUTO 22004KT 10SM OVC015 25/22 A3012 RMK AO2 P0001
11:15 AMSW 5G 1310 OVC016
777377 89% 30.120
KCMD 151615Z AUTO 23004G11KT 10SM OVC016 25/23 A3012 RMK AO2
11:35 AMVRB 510 OVC019
797379 84% 30.120
KCMD 151635Z AUTO VRB04KT 10SM OVC019 26/23 A3012 RMK AO2
11:55 AMSSW 610 BKN018
OVC023
797379 84% 30.120
KCMD 151655Z AUTO 20005KT 10SM BKN018 OVC023 26/23 A3012 RMK AO2
Previous Day

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.