15 July 2025 Observation History, [PWC] PINE RIVER REGIO, timezone: America/Chicago

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 AMCalm10 CLR
706470 83 29.930
KPWC 150515Z AUTO 00000KT 10SM CLR 21/18 A2993 RMK AO2
12:35 AMSE 610 CLR
726472 78 29.920
KPWC 150535Z AUTO 14005KT 10SM CLR 22/18 A2992 RMK AO2
12:55 AMCalm10 CLR
726472 78 29.910
KPWC 150555Z AUTO 00000KT 10SM CLR 22/18 A2991 RMK AO2
1:16 AMCalm10 CLR
726472 78 29.910
KPWC 150616Z AUTO 00000KT 10SM CLR 22/18 A2991 RMK AO2
1:35 AMSE 610 CLR
706470 83 29.890
KPWC 150635Z AUTO 13005KT 10SM CLR 21/18 A2989 RMK AO2 LTG DSNT N AND NE
1:55 AMSSE 710 CLR
706470 83 29.880
KPWC 150655Z AUTO 15006KT 10SM CLR 21/18 A2988 RMK AO2 LTG DSNT N
2:15 AMSSE 710 CLR
726672 83 29.860
KPWC 150715Z AUTO 16006KT 10SM CLR 22/19 A2986 RMK AO2 LTG DSNT N
2:35 AMS 810 CLR
726672 83 29.850
KPWC 150735Z AUTO 17007KT 10SM CLR 22/19 A2985 RMK AO2 LTG DSNT N
2:55 AMSSW 710 CLR
726872 88 29.850
KPWC 150755Z AUTO 19006KT 10SM CLR 22/20 A2985 RMK AO2 LTG DSNT N
3:15 AMCalm10 CLR
726872 88 29.90
KPWC 150815Z AUTO 00000KT 10SM CLR 22/20 A2990 RMK AO2 LTG DSNT N
3:36 AMCalm10 CLR
726872 88 29.90
KPWC 150836Z AUTO 00000KT 10SM CLR 22/20 A2990 RMK AO2 LTG DSNT N AND NE
3:55 AMCalm10 SCT035
SCT046
706870 94 29.890
KPWC 150855Z AUTO 00000KT 10SM SCT035 SCT046 21/20 A2989 RMK AO2 LTG DSNT N
4:15 AMCalm10 CLR
726872 88 29.880
KPWC 150915Z AUTO 00000KT 10SM CLR 22/20 A2988 RMK AO2 LTG DSNT N AND NE
4:35 AMCalm10 CLR
727072 94 29.880
KPWC 150935Z AUTO 00000KT 10SM CLR 22/21 A2988 RMK AO2 LTG DSNT N AND NE
4:55 AMCalm10 CLR
726872 88 29.870
KPWC 150955Z AUTO 00000KT 10SM CLR 22/20 A2987 RMK AO2 LTG DSNT N AND NE
5:15 AMCalm10 SCT028
727072 94 29.890
KPWC 151015Z AUTO 00000KT 10SM SCT028 22/21 A2989 RMK AO2
5:35 AMENE 77 SCT026
727072 94 29.860
KPWC 151035Z AUTO 07006KT 7SM SCT026 22/21 A2986 RMK AO2 LTG DSNT NE
5:56 AMSSW 610 SCT022
727072 94 29.890
KPWC 151056Z AUTO 19005KT 10SM SCT022 22/21 A2989 RMK AO2 LTG DSNT NE
6:15 AMSSE 510 BKN022
727072 94 29.890
KPWC 151115Z AUTO 15004KT 10SM BKN022 22/21 A2989 RMK AO2 LTG DSNT SE
6:35 AMSE 67 SCT024
SCT029
VCTS727072 94 29.880
KPWC 151135Z AUTO 14005KT 7SM VCTS SCT024 SCT029 22/21 A2988 RMK AO2
6:55 AMCalm10 SCT028
727272 100 29.890
KPWC 151155Z AUTO 00000KT 10SM SCT028 22/22 A2989 RMK AO2 LTG DSNT SE
7:15 AMSE 610 CLR
737273 94 29.870
KPWC 151215Z AUTO 13005KT 10SM CLR 23/22 A2987 RMK AO2 LTG DSNT SE
7:35 AMSE 310 CLR
737273 94 29.860
KPWC 151235Z AUTO 13003KT 10SM CLR 23/22 A2986 RMK AO2
7:55 AMSE 710 CLR
757275 89 29.860
KPWC 151255Z AUTO 14006KT 10SM CLR 24/22 A2986 RMK AO2
8:16 AMSE 310 CLR
757275 89 29.860
KPWC 151316Z AUTO 13003KT 10SM CLR 24/22 A2986 RMK AO2
8:35 AMSSE 510 CLR
777277 83 29.860
KPWC 151335Z AUTO 15004KT 10SM CLR 25/22 A2986 RMK AO2
8:55 AMESE 510 SCT011
777277 83 29.870
KPWC 151355Z AUTO 11004KT 10SM SCT011 25/22 A2987 RMK AO2
9:15 AMSSW 610 SCT013
777277 83 29.880
KPWC 151415Z AUTO 19005KT 10SM SCT013 25/22 A2988 RMK AO2
9:35 AMSSE 1310 BKN013
777277 83 29.870
KPWC 151435Z AUTO 15011KT 10SM BKN013 25/22 A2987 RMK AO2
9:55 AMCalm10 BKN015
-DZ757075 83 29.870
KPWC 151455Z AUTO 00000KT 10SM -DZ BKN015 24/21 A2987 RMK AO2
10:15 AMSSW 310 OVC015
777277 83 29.880
KPWC 151515Z AUTO 20003KT 10SM OVC015 25/22 A2988 RMK AO2
10:36 AMCalm10 OVC015
777277 83 29.880
KPWC 151536Z AUTO 00000KT 10SM OVC015 25/22 A2988 RMK AO2 LTG DSNT SW
10:55 AMNW 310 BKN015
BKN035
797279 79 29.880
KPWC 151555Z AUTO 31003KT 10SM BKN015 BKN035 26/22 A2988 RMK AO2
11:15 AMCalm10 SCT035
BKN044
797279 79 29.880
KPWC 151615Z AUTO 00000KT 10SM SCT035 BKN044 26/22 A2988 RMK AO2
11:35 AMCalm10 BKN016
BKN035
797279 79 29.880
KPWC 151635Z AUTO 00000KT 10SM BKN016 BKN035 26/22 A2988 RMK AO2
11:55 AMN 1010 OVC016
-RA777277 83 29.890
KPWC 151655Z AUTO 35009KT 10SM -RA OVC016 25/22 A2989 RMK AO2 LTG DSNT E

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.