30 September 2024 Observation History, [IND] INDIANAPOLIS, timezone: America/Indiana/Indianapolis

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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.
12:00 AM	NE 12	7	BKN010 OVC017							%	29.93
KIND 300400Z AUTO 04010KT 7SM BKN010 OVC017 19/18 A2993 RMK T01900180 MADISHF
12:04 AM	NE 13	8	BKN008 OVC013		67	65	67			93%	29.93			0
KIND 300404Z 04011KT 8SM BKN008 OVC013 19/18 A2993 RMK AO2 T01940183 $
12:05 AM	NE 12	8	BKN010 OVC013							%	29.93
KIND 300405Z AUTO 04010KT 8SM BKN010 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:10 AM	NE 12	10	BKN008 OVC013							%	29.93
KIND 300410Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:15 AM	NE 12	10	BKN008 OVC013							%	29.93
KIND 300415Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:20 AM	NE 12	10	BKN008 OVC013							%	29.93
KIND 300420Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:25 AM	NE 10	10	BKN008 OVC013							%	29.93
KIND 300425Z AUTO 04009KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:30 AM	NE 10	10	BKN008 OVC013							%	29.93
KIND 300430Z AUTO 04009KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:35 AM	NE 10	10	BKN008 OVC013							%	29.93
KIND 300435Z AUTO 04009KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:40 AM	NE 10	10	BKN008 OVC013							%	29.93
KIND 300440Z AUTO 04009KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:45 AM	NE 12	10	BKN008 OVC013							%	29.93
KIND 300445Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:50 AM	NE 12	10	BKN008 OVC013							%	29.93
KIND 300450Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2993 RMK T01900180 MADISHF
12:54 AM	NE 9	9	BKN008 OVC013		67	65	67			93%	29.93	1012.9		0
KIND 300454Z 04008KT 9SM BKN008 OVC013 19/18 A2993 RMK AO2 SLP129 T01940183 402220183 $
1:00 AM	NE 10	8	BKN008 OVC013							%	29.92
KIND 300500Z AUTO 04009KT 8SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:05 AM	NE 9	9	BKN008 OVC013							%	29.92
KIND 300505Z AUTO 04008KT 9SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:10 AM	NE 9	10	BKN008 OVC013							%	29.92
KIND 300510Z AUTO 04008KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:15 AM	NNE 8	10	BKN008 OVC013							%	29.92
KIND 300515Z AUTO 03007KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:20 AM	NNE 8	10	BKN008 OVC013							%	29.92
KIND 300520Z AUTO 03007KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:25 AM	NE 8	10	BKN008 OVC013							%	29.92
KIND 300525Z AUTO 04007KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:30 AM	NE 8	10	BKN008 OVC013							%	29.92
KIND 300530Z AUTO 04007KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:35 AM	NE 12	10	BKN008 OVC013							%	29.92
KIND 300535Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:40 AM	NE 10	10	BKN008 OVC013							%	29.92
KIND 300540Z AUTO 04009KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:45 AM	NE 12	10	BKN008 OVC013							%	29.92
KIND 300545Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:50 AM	NE 12	10	BKN008 OVC013							%	29.92
KIND 300550Z AUTO 04010KT 10SM BKN008 OVC013 19/18 A2992 RMK T01900180 MADISHF
1:54 AM	NE 12	10	BKN009 OVC014		67	65	67	71	67	93%	29.92	1012.7		0
KIND 300554Z 04010KT 10SM BKN009 OVC014 19/18 A2992 RMK AO2 SLP127 60000 T01940183 10217 20194 58005 $
2:00 AM	NE 13	10	BKN009 OVC014							%	29.92
KIND 300600Z AUTO 05011KT 10SM BKN009 OVC014 20/18 A2992 RMK T02000180 MADISHF
2:05 AM	NE 13	10	BKN009 OVC014							%	29.92
KIND 300605Z AUTO 05011KT 10SM BKN009 OVC014 20/18 A2992 RMK T02000180 MADISHF
2:10 AM	NE 10	10	BKN009 OVC014							%	29.92
KIND 300610Z AUTO 05009KT 10SM BKN009 OVC014 20/18 A2992 RMK T02000180 MADISHF

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.