IEM :: Observation History

09 July 2026 Observation History, [BNW] BOONE MUNI, timezone: America/Chicago

Time	Wind (mph)	Vis. (mi.)	Sky Cond. (100s ft)	Present Wx	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	E 9	2.5	BKN004 BKN026 OVC085	+RA	68	68	68			100	29.96		0.00	M	M
KBNW 090515Z AUTO 10008KT 2 1/2SM +RA BKN004 BKN026 OVC085 20/20 A2996 RMK AO2
12:35 AM	NNW 6	2.5	SCT003 OVC006	+RA	68	68	68			100	29.99		0.00	M	M
KBNW 090535Z AUTO 33005KT 2 1/2SM +RA SCT003 OVC006 20/20 A2999 RMK AO2 VIS 1/2V5
12:55 AM	E 7	0.75	OVC003	+RA	68	68	68			100	29.96		0.78	M	M
KBNW 090555Z AUTO 10006KT 3/4SM +RA OVC003 20/20 A2996 RMK AO2 P0078
1:15 AM	ESE 10	9	SCT003 BKN065 OVC075	-RA	68	68	68			100	29.93		0.00	M	M
KBNW 090615Z AUTO 12009KT 9SM -RA SCT003 BKN065 OVC075 20/20 A2993 RMK AO2
1:35 AM	SE 12	8	SCT003 BKN055 OVC110	-RA	68	68	68			100	29.92		0.00	M	M
KBNW 090635Z AUTO 14010KT 8SM -RA SCT003 BKN055 OVC110 20/20 A2992 RMK AO2
1:55 AM	SE 10	10	FEW003 SCT080 BKN110		68	68	68			100	29.92		0.04	M	M
KBNW 090655Z AUTO 14009KT 10SM FEW003 SCT080 BKN110 20/20 A2992 RMK AO2 P0004
2:35 AM	SSE 6	10	FEW033 SCT085 BKN110		68	68	68			100	29.9		0.00	M	M
KBNW 090735Z AUTO 16005KT 10SM FEW033 SCT085 BKN110 20/20 A2990 RMK AO2
2:55 AM	VRB 7	10	FEW085 BKN120		68	68	68			100	29.88		0.00	M	M
KBNW 090755Z AUTO VRB06KT 10SM FEW085 BKN120 20/20 A2988 RMK AO2
3:15 AM	SSE 5	10	BKN110		68	68	68			100	29.88		0.00	M	M
KBNW 090815Z AUTO 15004KT 10SM BKN110 20/20 A2988 RMK AO2
3:35 AM	SSW 3	10	SCT110		68	66	68			94	29.88		0.00	M	M
KBNW 090835Z AUTO 19003KT 10SM SCT110 20/19 A2988 RMK AO2
3:55 AM	Calm	10	CLR		68	66	68			94	29.87		0.00	M	M
KBNW 090855Z AUTO 00000KT 10SM CLR 20/19 A2987 RMK AO2
4:15 AM	Calm	10	CLR		66	66	66			100	29.87		0.00	M	M
KBNW 090915Z AUTO 00000KT 10SM CLR 19/19 A2987 RMK AO2
4:35 AM	Calm	10	CLR		66	66	66			100	29.86		0.00	M	M
KBNW 090935Z AUTO 00000KT 10SM CLR 19/19 A2986 RMK AO2
4:55 AM	W 6	10	CLR		66	66	66			100	29.87		0.00	M	M
KBNW 090955Z AUTO 26005KT 10SM CLR 19/19 A2987 RMK AO2
5:15 AM	WSW 9	10	CLR		66	66	66			100	29.89		0.00	M	M
KBNW 091015Z AUTO 25008KT 10SM CLR 19/19 A2989 RMK AO2
5:35 AM	W 7	7	BKN003 BKN055		66	66	66			100	29.88		0.00	M	M
KBNW 091035Z AUTO 26006KT 7SM BKN003 BKN055 19/19 A2988 RMK AO2
5:55 AM	W 9	6	BKN003 OVC055	BR	68	68	68			100	29.89		0.00	M	M
KBNW 091055Z AUTO 26008KT 6SM BR BKN003 OVC055 20/20 A2989 RMK AO2
6:15 AM	W 6	5	SCT003 BKN055 OVC080	BR	68	68	68			100	29.89		0.00	M	M
KBNW 091115Z AUTO 28005KT 5SM BR SCT003 BKN055 OVC080 20/20 A2989 RMK AO2
6:35 AM	W 6	9	BKN060 OVC065		68	68	68			100	29.89		0.00	M	M
KBNW 091135Z AUTO 27005KT 9SM BKN060 OVC065 20/20 A2989 RMK AO2
6:55 AM	W 7	10	SCT060		68	68	68			100	29.9		0.00	M	M
KBNW 091155Z AUTO 27006KT 10SM SCT060 20/20 A2990 RMK AO2
7:15 AM	W 6	10	CLR		68	68	68			100	29.9		0.00	M	M
KBNW 091215Z AUTO 26005KT 10SM CLR 20/20 A2990 RMK AO2
7:35 AM	WSW 6	10	CLR		70	68	70			94	29.9		0.00	M	M
KBNW 091235Z AUTO 25005KT 10SM CLR 21/20 A2990 RMK AO2
7:55 AM	WSW 6	10	SCT075 BKN085		70	68	70			94	29.9		0.00	M	M
KBNW 091255Z AUTO 24005KT 10SM SCT075 BKN085 21/20 A2990 RMK AO2
8:15 AM	W 6	10	BKN075 OVC085		70	68	70			94	29.9		0.00	M	M
KBNW 091315Z AUTO 28005KT 10SM BKN075 OVC085 21/20 A2990 RMK AO2
8:35 AM	W 5	10	OVC075		72	68	72			88	29.9		0.00	M	M
KBNW 091335Z AUTO 27004KT 10SM OVC075 22/20 A2990 RMK AO2
8:55 AM	WNW 5	10	SCT080		72	68	72			88	29.91		0.00	M	M
KBNW 091355Z AUTO 29004KT 10SM SCT080 22/20 A2991 RMK AO2
9:15 AM	VRB 5	10	CLR		73	70	73			89	29.9		0.00	M	M
KBNW 091415Z AUTO VRB04KT 10SM CLR 23/21 A2990 RMK AO2
9:35 AM	NW 3	10	CLR		75	68	75			78	29.91		0.00	M	M
KBNW 091435Z AUTO 32003KT 10SM CLR 24/20 A2991 RMK AO2
9:55 AM	WSW 5	10	CLR		77	70	77			78	29.91		0.00	M	M
KBNW 091455Z AUTO 25004KT 10SM CLR 25/21 A2991 RMK AO2
10:15 AM	SW 3	10	CLR		77	68	77			74	29.91		0.00	M	M
KBNW 091515Z AUTO 23003KT 10SM CLR 25/20 A2991 RMK AO2
10:35 AM	VRB 6	10	CLR		79	68	79			70	29.9		0.00	M	M
KBNW 091535Z AUTO VRB05KT 10SM CLR 26/20 A2990 RMK AO2
10:55 AM	Calm	10	CLR		79	68	79			70	29.9		0.00	M	M
KBNW 091555Z AUTO 00000KT 10SM CLR 26/20 A2990 RMK AO2
11:15 AM	W 3	10	SCT027		79	68	79			70	29.91		0.00	M	M
KBNW 091615Z AUTO 28003KT 10SM SCT027 26/20 A2991 RMK AO2
11:35 AM	VRB 7	10	BKN027		79	70	79			74	29.92		0.00	M	M
KBNW 091635Z AUTO VRB06KT 10SM BKN027 26/21 A2992 RMK AO2
11:55 AM	VRB 3	10	BKN028 BKN032 BKN080		79	70	79			74	29.92		0.00	M	M
KBNW 091655Z AUTO VRB03KT 10SM BKN028 BKN032 BKN080 26/21 A2992 RMK AO2
12:15 PM	W 6	10	FEW025 BKN031 BKN080		79	70	79			74	29.92		0.00	M	M
KBNW 091715Z AUTO 26005KT 10SM FEW025 BKN031 BKN080 26/21 A2992 RMK AO2
12:35 PM	W 5	10	BKN034 BKN080		79	70	79			74	29.92		0.00	M	M
KBNW 091735Z AUTO 27004KT 10SM BKN034 BKN080 26/21 A2992 RMK AO2
12:55 PM	Calm	10	OVC032		79	70	79			74	29.9		0.00	M	M
KBNW 091755Z AUTO 00000KT 10SM OVC032 26/21 A2990 RMK AO2
1:15 PM	Calm	10	OVC031		79	70	79			74	29.9		0.00	M	M
KBNW 091815Z AUTO 00000KT 10SM OVC031 26/21 A2990 RMK AO2
1:35 PM	N 5	10	OVC029		79	70	79			74	29.9		0.00	M	M
KBNW 091835Z AUTO 35004KT 10SM OVC029 26/21 A2990 RMK AO2
1:55 PM	Calm	10	SCT025 OVC030		81	70	84			70	29.89		0.00	M	M
KBNW 091855Z AUTO 00000KT 10SM SCT025 OVC030 27/21 A2989 RMK AO2
2:15 PM	Calm	10	SCT025 OVC032		81	70	84			70	29.89		0.00	M	M
KBNW 091915Z AUTO 00000KT 10SM SCT025 OVC032 27/21 A2989 RMK AO2
2:35 PM	W 5	10	SCT027 BKN033		81	70	84			70	29.88		0.00	M	M
KBNW 091935Z AUTO 26004KT 10SM SCT027 BKN033 27/21 A2988 RMK AO2
2:55 PM	Calm	10	FEW028 FEW100		82	68	85			62	29.88		0.00	M	M
KBNW 091955Z AUTO 00000KT 10SM FEW028 FEW100 28/20 A2988 RMK AO2
3:15 PM	Calm	10	BKN031 BKN100		82	70	86			66	29.88		0.00	M	M
KBNW 092015Z AUTO 00000KT 10SM BKN031 BKN100 28/21 A2988 RMK AO2
3:35 PM	Calm	10	BKN032 BKN040 BKN080		81	70	84			70	29.88		0.00	M	M
KBNW 092035Z AUTO 00000KT 10SM BKN032 BKN040 BKN080 27/21 A2988 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.