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29 November 2024 Observation History, [FKN] FRANKLIN/J B ROSE, timezone: America/New_York

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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 CLR
393639 89% 29.960
KFKN 290515Z AUTO 00000KT 10SM CLR 04/02 A2996 RMK AO2 T00390022
12:35 AMCalm10 CLR
363336 90% 29.960
KFKN 290535Z AUTO 00000KT 10SM CLR 02/01 A2996 RMK AO2 T00200006
12:55 AMCalm10 CLR
353435 53 35 93% 29.970
KFKN 290555Z AUTO 00000KT 10SM CLR 02/01 A2997 RMK AO2 T00190009 10115 20015
1:15 AMCalm10 CLR
343234 93% 29.970
KFKN 290615Z AUTO 00000KT 10SM CLR 01/00 A2997 RMK AO2 T00100000
1:35 AMWNW 310 CLR
343331 95% 29.970
KFKN 290635Z AUTO 30003KT 10SM CLR 01/01 A2997 RMK AO2 T00130006
1:55 AMCalm10 CLR
343334 94% 29.970
KFKN 290655Z AUTO 00000KT 10SM CLR 01/01 A2997 RMK AO2 T00140006
2:15 AMCalm10 CLR
353435 95% 29.980
KFKN 290715Z AUTO 00000KT 10SM CLR 02/01 A2998 RMK AO2 T00180010
2:35 AMCalm10 CLR
343234 94% 29.990
KFKN 290735Z AUTO 00000KT 10SM CLR 01/00 A2999 RMK AO2 T00091001
2:55 AMCalm10 CLR
323032 94% 300
KFKN 290755Z AUTO 00000KT 10SM CLR 00/M01 A3000 RMK AO2 T00001009
3:15 AMCalm10 CLR
323032 92% 300
KFKN 290815Z AUTO 00000KT 10SM CLR 00/M01 A3000 RMK AO2 T10011011
3:35 AMCalm10 CLR
312931 93% 30.010
KFKN 290835Z AUTO 00000KT 10SM CLR M01/M02 A3001 RMK AO2 T10071016
3:55 AMCalm10 CLR
313031 95% 30.010
KFKN 290855Z AUTO 00000KT 10SM CLR 00/M01 A3001 RMK AO2 T10051013
4:15 AMCalm10 CLR
313031 96% 30.010
KFKN 290915Z AUTO 00000KT 10SM CLR 00/M01 A3001 RMK AO2 T10051012
4:35 AMCalm10 CLR
302830 95% 30.020
KFKN 290935Z AUTO 00000KT 10SM CLR M01/M02 A3002 RMK AO2 T10131020
4:55 AMCalm10 CLR
312931 95% 30.030
KFKN 290955Z AUTO 00000KT 10SM CLR M01/M01 A3003 RMK AO2 T10081015
5:15 AMCalm10 CLR
302830 94% 30.030
KFKN 291015Z AUTO 00000KT 10SM CLR M01/M02 A3003 RMK AO2 T10131021
5:35 AMCalm10 CLR
302830 94% 30.040
KFKN 291035Z AUTO 00000KT 10SM CLR M01/M02 A3004 RMK AO2 T10141022
5:55 AMCalm10 CLR
302830 94% 30.040
KFKN 291055Z AUTO 00000KT 10SM CLR M01/M02 A3004 RMK AO2 T10111020
6:15 AMCalm5 CLR
BR292829 94% 30.050
KFKN 291115Z AUTO 00000KT 5SM BR CLR M02/M02 A3005 RMK AO2 T10161025
6:35 AMCalm10 CLR
292829 95% 30.060
KFKN 291135Z AUTO 00000KT 10SM CLR M01/M02 A3006 RMK AO2 T10151023
6:55 AMCalm10 CLR
292829 36 28 95% 30.060
KFKN 291155Z AUTO 00000KT 10SM CLR M01/M02 A3006 RMK AO2 70007 T10151022 10022 21022
7:15 AMCalm10 CLR
292829 93% 30.060
KFKN 291215Z AUTO 00000KT 10SM CLR M01/M02 A3006 RMK AO2 T10151025
7:35 AMCalm10 CLR
292829 95% 30.070
KFKN 291235Z AUTO 00000KT 10SM CLR M01/M02 A3007 RMK AO2 T10151023
7:55 AMCalm10 CLR
323032 95% 30.070
KFKN 291255Z AUTO 00000KT 10SM CLR 00/M01 A3007 RMK AO2 T10021009
8:15 AMCalm10 CLR
343234 94% 30.070
KFKN 291315Z AUTO 00000KT 10SM CLR 01/00 A3007 RMK AO2 T00090001
8:35 AMCalm10 CLR
383538 89% 30.070
KFKN 291335Z AUTO 00000KT 10SM CLR 03/02 A3007 RMK AO2 T00330016
8:55 AMWNW 310 CLR
413339 75% 30.070
KFKN 291355Z AUTO 29003KT 10SM CLR 05/01 A3007 RMK AO2 T00480008
9:15 AMNW 510 CLR
423240 66% 30.070
KFKN 291415Z AUTO 31004KT 10SM CLR 06/00 A3007 RMK AO2 T00580000
9:35 AMNNW 310 CLR
443242 63% 30.070
KFKN 291435Z AUTO 33003KT 10SM CLR 07/00 A3007 RMK AO2 T00651001
9:55 AMCalm10 CLR
453245 59% 30.060
KFKN 291455Z AUTO 00000KT 10SM CLR 07/00 A3006 RMK AO2 T00731002
10:15 AMNW 310 CLR
473145 54% 30.060
KFKN 291515Z AUTO 32003KT 10SM CLR 08/00 A3006 RMK AO2 T00811005
10:35 AMCalm10 CLR
483248 53% 30.050
KFKN 291535Z AUTO 00000KT 10SM CLR 09/00 A3005 RMK AO2 T00891002
10:55 AMCalm10 CLR
493049 48% 30.040
KFKN 291555Z AUTO 00000KT 10SM CLR 10/M01 A3004 RMK AO2 T00951009
11:15 AMW 510 CLR
502948 45% 30.030
KFKN 291615Z AUTO 28004KT 10SM CLR 10/M02 A3003 RMK AO2 T00981017

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.