IEM :: Observation History

30 September 2025 Observation History, [LHB] HEARNE, timezone: America/Chicago

Time	Wind (mph)	Vis. (mi.)	Sky Cond. (100s ft)	Temperature (ºF)					Relative Humidity	Pressure		Precipitation (in.)
				Air	Dwpt	Feels Like	6 hour			altimeter (in.)	sea level (mb)	1 hr	3 hr	6 hr
				Air	Dwpt	Feels Like	Max.	Min.		altimeter (in.)	sea level (mb)	1 hr	3 hr	6 hr
12:15 AM	NNE 6	10	CLR	77	59	77			54	30.02		0
KLHB 300515Z AUTO 03005KT 10SM CLR 25/15 A3002 RMK AO2
12:35 AM	NE 5	10	CLR	77	59	77			54	30.01		0
KLHB 300535Z AUTO 04004KT 10SM CLR 25/15 A3001 RMK AO2
12:55 AM	NE 3	10	CLR	77	59	77	85	76	54	30.01		0
KLHB 300555Z AUTO 05003KT 10SM CLR 25/15 A3001 RMK AO2 10294 20243
1:15 AM	N 3	10	CLR	75	59	75			57	30.02		0
KLHB 300615Z AUTO 36003KT 10SM CLR 24/15 A3002 RMK AO2
1:35 AM	VRB 2	10	CLR	73	59	73			61	30.03		0
KLHB 300635Z AUTO VRB02KT 10SM CLR 23/15 A3003 RMK AO2
1:55 AM	N 1	10	CLR	73	59	73			61	30.03		0
KLHB 300655Z AUTO 35001KT 10SM CLR 23/15 A3003 RMK AO2
2:15 AM	NE 3	10	CLR	73	59	73			61	30.02		0
KLHB 300715Z AUTO 04003KT 10SM CLR 23/15 A3002 RMK AO2
2:35 AM	N 2	10	CLR	73	59	73			61	30.02		0
KLHB 300735Z AUTO 01002KT 10SM CLR 23/15 A3002 RMK AO2
2:55 AM	SSE 1	10	CLR	73	61	73			65	30.02		0
KLHB 300755Z AUTO 15001KT 10SM CLR 23/16 A3002 RMK AO2
3:15 AM	VRB 1	10	CLR	72	61	72			69	30.01		0
KLHB 300815Z AUTO VRB01KT 10SM CLR 22/16 A3001 RMK AO2
3:35 AM	NNW 3	10	CLR	72	61	72			69	30.01		0
KLHB 300835Z AUTO 33003KT 10SM CLR 22/16 A3001 RMK AO2
3:55 AM	Calm	10	CLR	72	61	72			69	30.01		0
KLHB 300855Z AUTO 00000KT 10SM CLR 22/16 A3001 RMK AO2
4:15 AM	VRB 1	10	CLR	72	61	72			69	30.01		0
KLHB 300915Z AUTO VRB01KT 10SM CLR 22/16 A3001 RMK AO2
4:35 AM	VRB 2	10	CLR	72	61	72			69	30.02		0
KLHB 300935Z AUTO VRB02KT 10SM CLR 22/16 A3002 RMK AO2
4:55 AM	NNE 2	10	CLR	73	61	73			65	30.02		0
KLHB 300955Z AUTO 02002KT 10SM CLR 23/16 A3002 RMK AO2
5:15 AM	VRB 1	10	CLR	72	61	72			69	30.03		0
KLHB 301015Z AUTO VRB01KT 10SM CLR 22/16 A3003 RMK AO2
5:35 AM	SSW 2	10	CLR	68	61	68			78	30.03		0
KLHB 301035Z AUTO 20002KT 10SM CLR 20/16 A3003 RMK AO2
5:55 AM	Calm	10	CLR	68	63	68			83	30.03		0
KLHB 301055Z AUTO 00000KT 10SM CLR 20/17 A3003 RMK AO2
6:15 AM	S 2	10	CLR	68	61	68			78	30.03		0
KLHB 301115Z AUTO 18002KT 10SM CLR 20/16 A3003 RMK AO2
6:35 AM	VRB 2	10	CLR	68	61	68			78	30.04		0
KLHB 301135Z AUTO VRB02KT 10SM CLR 20/16 A3004 RMK AO2
6:55 AM	W 3	10	CLR	68	63	68	77	67	83	30.04		0
KLHB 301155Z AUTO 27003KT 10SM CLR 20/17 A3004 RMK AO2 10249 20194 70000
7:15 AM	Calm	10	CLR	68	61	68			78	30.05		0
KLHB 301215Z AUTO 00000KT 10SM CLR 20/16 A3005 RMK AO2
7:35 AM	Calm	10	CLR	66	61	66			83	30.05		0
KLHB 301235Z AUTO 00000KT 10SM CLR 19/16 A3005 RMK AO2
7:55 AM	NNW 1	10	CLR	66	61	66			83	30.05		0
KLHB 301255Z AUTO 34001KT 10SM CLR 19/16 A3005 RMK AO2
8:15 AM	WNW 5	10	CLR	66	61	66			83	30.06		0
KLHB 301315Z AUTO 30004KT 10SM CLR 19/16 A3006 RMK AO2
8:35 AM	VRB 1	10	CLR	70	63	70			78	30.06		0
KLHB 301335Z AUTO VRB01KT 10SM CLR 21/17 A3006 RMK AO2
8:55 AM	WNW 2	10	CLR	72	63	72			73	30.06		0
KLHB 301355Z AUTO 30002KT 10SM CLR 22/17 A3006 RMK AO2
9:15 AM	NNW 2	10	CLR	73	63	73			69	30.07		0
KLHB 301415Z AUTO 33002KT 10SM CLR 23/17 A3007 RMK AO2
9:35 AM	NW 2	10	CLR	75	63	75			65	30.07		0
KLHB 301435Z AUTO 31002KT 10SM CLR 24/17 A3007 RMK AO2
9:55 AM	VRB 1	10	CLR	75	63	75			65	30.07		0
KLHB 301455Z AUTO VRB01KT 10SM CLR 24/17 A3007 RMK AO2
10:15 AM	VRB 2	10	CLR	81	63	82			54	30.07		0
KLHB 301515Z AUTO VRB02KT 10SM CLR 27/17 A3007 RMK AO2
10:35 AM	VRB 1	10	CLR	82	63	83			51	30.07		0
KLHB 301535Z AUTO VRB01KT 10SM CLR 28/17 A3007 RMK AO2
10:55 AM	VRB 5	10	CLR	84	63	85			48	30.07		0
KLHB 301555Z AUTO VRB04KT 10SM CLR 29/17 A3007 RMK AO2
11:15 AM	VRB 3	10	CLR	84	63	85			48	30.07		0
KLHB 301615Z AUTO VRB03KT 10SM CLR 29/17 A3007 RMK AO2
11:35 AM	VRB 1	10	CLR	86	63	87			46	30.06		0
KLHB 301635Z AUTO VRB01KT 10SM CLR 30/17 A3006 RMK AO2

API: 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.