17 November 2024 Observation History, [JOT] JOLIET, 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 AM	SSE 3	10	CLR		44	42	43			91%	29.97			0
KJOT 170615Z AUTO 15003KT 10SM CLR 07/06 A2997 RMK AO2 T00690055
12:35 AM	SSE 6	10	CLR		45	42	42			91%	29.96			0
KJOT 170635Z AUTO 16005KT 10SM CLR 07/06 A2996 RMK AO2 T00710057
12:55 AM	SSE 6	10	CLR		46	43	42			90%	29.97			0
KJOT 170655Z AUTO 16005KT 10SM CLR 08/06 A2997 RMK AO2 T00750059
1:15 AM	SSE 7	10	CLR		46	42	42			89%	29.96			0
KJOT 170715Z AUTO 16006KT 10SM CLR 08/06 A2996 RMK AO2 T00750058
1:35 AM	SSE 6	10	CLR		46	42	42			89%	29.95			0
KJOT 170735Z AUTO 16005KT 10SM CLR 08/06 A2995 RMK AO2 T00750058
1:55 AM	S 6	10	CLR		46	43	43			89%	29.95			0
KJOT 170755Z AUTO 17005KT 10SM CLR 08/06 A2995 RMK AO2 T00780060
2:15 AM	S 8	10	CLR		46	43	42			88%	29.94			0
KJOT 170815Z AUTO 17007KT 10SM CLR 08/06 A2994 RMK AO2 T00800061
2:35 AM	S 7	10	CLR		47	43	43			87%	29.94			0
KJOT 170835Z AUTO 17006KT 10SM CLR 08/06 A2994 RMK AO2 T00810062
2:55 AM	S 7	10	CLR		47	43	43			88%	29.94			0
KJOT 170855Z AUTO 17006KT 10SM CLR 08/06 A2994 RMK AO2 T00810063
3:15 AM	S 6	10	CLR		47	43	44			88%	29.94			0
KJOT 170915Z AUTO 17005KT 10SM CLR 08/06 A2994 RMK AO2 T00810063
3:35 AM	S 6	10	CLR		47	44	44			89%	29.94			0
KJOT 170935Z AUTO 17005KT 10SM CLR 08/07 A2994 RMK AO2 T00820065
3:55 AM	S 7	10	CLR		47	44	44			88%	29.94			0
KJOT 170955Z AUTO 17006KT 10SM CLR 08/07 A2994 RMK AO2 T00830065
4:15 AM	S 5	10	SCT016 SCT120		47	44	45			89%	29.94			0
KJOT 171015Z AUTO 17004KT 10SM SCT016 SCT120 08/07 A2994 RMK AO2 T00820065
4:35 AM	S 6	10	CLR		47	44	44			89%	29.94			0
KJOT 171035Z AUTO 18005KT 10SM CLR 08/07 A2994 RMK AO2 T00830067
4:55 AM	S 5	10	SCT055		48	45	46			90%	29.93			0
KJOT 171055Z AUTO 18004KT 10SM SCT055 09/07 A2993 RMK AO2 T00860070
5:15 AM	S 7	10	SCT055		48	45	44			90%	29.93			0
KJOT 171115Z AUTO 18006KT 10SM SCT055 09/07 A2993 RMK AO2 T00870071
5:35 AM	S 6	10	BKN055		48	45	46			89%	29.91			0
KJOT 171135Z AUTO 17005KT 10SM BKN055 09/07 A2991 RMK AO2 T00900072
5:55 AM	SSW 7	10	SCT055		48	46	45	48	44	90%	29.93			0
KJOT 171155Z AUTO 19006KT 10SM SCT055 09/08 A2993 RMK AO2 T00900075 10090 20065
6:15 AM	SSW 6	10	CLR		48	46	46			90%	29.91			0
KJOT 171215Z AUTO 19005KT 10SM CLR 09/08 A2991 RMK AO2 T00900075
6:35 AM	SSW 7	10	CLR		48	46	45			91%	29.93			0
KJOT 171235Z AUTO 19006KT 10SM CLR 09/08 A2993 RMK AO2 T00900076
6:55 AM	S 3	10	CLR		48	46	47			91%	29.91			0
KJOT 171255Z AUTO 18003KT 10SM CLR 09/08 A2991 RMK AO2 T00900076
7:15 AM	SSE 3	10	SCT100 SCT120	-DZ	48	46	47			91%	29.93			0
KJOT 171315Z AUTO 16003KT 10SM -DZ SCT100 SCT120 09/08 A2993 RMK AO2 T00900076
7:35 AM	Calm	10	CLR		48	46	48			93%	29.93			0
KJOT 171335Z AUTO 00000KT 10SM CLR 09/08 A2993 RMK AO2 T00880077
7:55 AM	SSW 6	10	CLR		49	47	46			93%	29.94			0
KJOT 171355Z AUTO 19005KT 10SM CLR 09/08 A2994 RMK AO2 T00920081
8:55 AM	SSW 9	10	CLR		52	48	52			87%	29.95			0
KJOT 171455Z AUTO 20008KT 10SM CLR 11/09 A2995 RMK AO2 T01090089
9:15 AM	SSW 7	10	CLR		52	48	52			86%	29.95			0
KJOT 171515Z AUTO 21006KT 10SM CLR 11/09 A2995 RMK AO2 T01130090
9:35 AM	SW 6	10	CLR		54	49	54			82%	29.94			0
KJOT 171535Z AUTO 23005KT 10SM CLR 12/09 A2994 RMK AO2 T01210092
9:55 AM	WSW 7	10	CLR		55	49	55			81%	29.95			0
KJOT 171555Z AUTO 24006KT 10SM CLR 13/10 A2995 RMK AO2 T01270096
10:15 AM	SW 8	10	CLR		55	49	55			80%	29.97			0
KJOT 171615Z AUTO 22007KT 10SM CLR 13/10 A2997 RMK AO2 T01300096
10:35 AM	WSW 7	10	SCT016		55	50	55			80%	29.95			0
KJOT 171635Z AUTO 24006KT 10SM SCT016 13/10 A2995 RMK AO2 T01300097
10:55 AM	WSW 8	10	CLR		57	50	57			78%	29.95			0
KJOT 171655Z AUTO 25007KT 10SM CLR 14/10 A2995 RMK AO2 T01370099

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.