IEM :: Observation History

18 September 2025 Observation History, [4MR] Melrose Gunary Ran, timezone: America/Denver

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
12:55 AM	S 6	10	SCT120		62	52	62			69	30.04	1008.9	0
K4MR 180655Z AUTO 18005KT 10SM SCT120 17/11 A3004 RMK AO2 SLP089 T01690112 402990146 $
1:55 AM	NE 6	10	CLR		57	54	57			88	30.06	1009.9	0
K4MR 180755Z AUTO 05005KT 10SM CLR 14/12 A3006 RMK AO2 LTG DSNT E SLP099 T01410121 $
2:55 AM	E 8	10	SCT090		58	54	58			89	30.07	1010.6	0
K4MR 180855Z AUTO 09007KT 10SM SCT090 14/12 A3007 RMK AO2 LTG DSNT NE SLP106 T01420124 53005 $
3:55 AM	ESE 10	10	CLR		57	54	57			90	30.06	1009.9	0
K4MR 180955Z AUTO 11009KT 10SM CLR 14/13 A3006 RMK AO2 LTG DSNT NW-N SLP099 T01410125 $
4:55 AM	ENE 6	10	SCT075 BKN095 BKN120	VCTS	57	55	57			93	30.09	1011.3	0
K4MR 181055Z AUTO 06005KT 10SM VCTS SCT075 BKN095 BKN120 14/13 A3009 RMK AO2 SLP113 T01410130 $
5:41 AM	NE 8	10	OVC050	VCTS -RA	61	57	61			88	30.1	1011.3	0
K4MR 181141Z AUTO 04007KT 10SM VCTS -RA OVC050 16/14 A3010 RMK AO2 RAB41 SLP113 $
5:50 AM	NE 9	10	OVC050	-VCTSRA	61	57	61			88	30.11	1012	0
K4MR 181150Z AUTO 04008KT 10SM -VCTSRA OVC050 16/14 A3011 RMK AO2 LTG DSNT N-NE AND W RAE1055RAB41E50 SLP120 $
5:55 AM	NE 9	10	BKN050 OVC065	VCTS	60	57	60	68	56	90	30.11	1012	T
K4MR 181155Z AUTO 04008KT 10SM VCTS BKN050 OVC065 16/14 A3011 RMK AO2 RAE1055RAB41E50 SLP120 P0000 60000 T01550139 10203 20136 53013 $
6:08 AM	NE 10	10	BKN050 OVC070	VCTS -RA	59	57	59			94	30.12	1012.3	0
K4MR 181208Z AUTO 05009KT 10SM VCTS -RA BKN050 OVC070 15/14 A3012 RMK AO2 RAB08 SLP123 $
6:22 AM	E 10	10	OVC065	-VCTSRA	59	57	59			94	30.11	1012	0
K4MR 181222Z AUTO 10009KT 10SM -VCTSRA OVC065 15/14 A3011 RMK AO2 LTG DSNT NE-E RAE1155RAB08E22 SLP120 $
6:31 AM	SE 16	10	BKN060 BKN075 OVC095	-RA	59	57	59			94	30.09	1011.3	0
K4MR 181231Z AUTO 13014KT 10SM -RA BKN060 BKN075 OVC095 15/14 A3009 RMK AO2 LTG DSNT NE-E RAE1155RAB08E22RAB31 PRESFR SLP113 $
6:55 AM	SE 7	10	FEW041 OVC100	-RA	59	56	59			91	30.1	1012	T
K4MR 181255Z AUTO 13006KT 10SM -RA FEW041 OVC100 15/14 A3010 RMK AO2 LTG DSNT E RAE1155RAB08E22RAB31E38DZB38E52RAB52 SLP120 P0000 T01490136 $
7:37 AM	ESE 6	10	BKN100 OVC120		59	57	59			94	30.11	1012.9	0
K4MR 181337Z AUTO 11005KT 10SM BKN100 OVC120 15/14 A3011 RMK AO2 LTG DSNT SE RAE37 SLP129 $
7:55 AM	NE 7	10	BKN100 OVC130		59	58	59			94	30.12	1013.3	T
K4MR 181355Z AUTO 04006KT 10SM BKN100 OVC130 15/14 A3012 RMK AO2 LTG DSNT E RAB1255E37 SLP133 P0000 T01520142 $
8:55 AM	Calm	10	FEW060 BKN140		62	58	62			88	30.14	1013.7	0	T
K4MR 181455Z AUTO 00000KT 10SM FEW060 BKN140 17/15 A3014 RMK AO2 SLP137 60000 T01670147 53010 $
9:55 AM	NE 6	10	CLR		66	59	66			78	30.15	1013.7	0
K4MR 181555Z AUTO 05005KT 10SM CLR 19/15 A3015 RMK AO2 SLP137 T01900151 $
10:55 AM	Calm	10	FEW075		70	59	70			68	30.15	1013.7	0
K4MR 181655Z AUTO 00000KT 10SM FEW075 21/15 A3015 RMK AO2 SLP137 T02090148 $
11:55 AM	SSW 5	10	CLR		74	57	74	74	58	55	30.13	1012.4	0
K4MR 181755Z AUTO 21004KT 10SM CLR 24/14 A3013 RMK AO2 SLP124 60000 T02350139 10235 20147 58004 $
12:55 PM	Calm	10	FEW043		77	56	77			49	30.11	1012	0
K4MR 181855Z AUTO 00000KT 10SM FEW043 25/14 A3011 RMK AO2 SLP120 T02500135 $
1:55 PM	E 8	10	SCT055 BKN140		80	56	80			44	30.07	1010.9	0
K4MR 181955Z AUTO 09007KT 10SM SCT055 BKN140 26/13 A3007 RMK AO2 SLP109 T02640131 $
2:55 PM	S 3	10	SCT055		80	56	80			43	30.05	1009.9	0
K4MR 182055Z AUTO 17003KT 10SM SCT055 27/13 A3005 RMK AO2 SLP099 T02670131 57024 $
3:55 PM	SSE 10	10	BKN070		81	55	80			41	30.03	1009.2	0
K4MR 182155Z AUTO 15009KT 10SM BKN070 27/13 A3003 RMK AO2 SLP092 T02700126 $
4:55 PM	SE 7	10	FEW075 SCT095		80	54	80			41	30.03	1009.2	0
K4MR 182255Z AUTO 13006KT 10SM FEW075 SCT095 27/13 A3003 RMK AO2 SLP092 T02690125 $

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.