26 July 2025 Observation History, [FWS] Fort Worth - Spinks, 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 FEW290
787278 81 29.950
KFWS 260515Z AUTO 00000KT 10SM FEW290 26/22 A2995 RMK AO2 T02560220
12:35 AMCalm10 FEW290
787278 82 29.950
KFWS 260535Z AUTO 00000KT 10SM FEW290 25/22 A2995 RMK AO2 T02530220
12:55 AMCalm10 FEW290
777177 89 76 84 29.950
KFWS 260555Z AUTO 00000KT 10SM FEW290 25/22 A2995 RMK AO2 T02480219 10317 20247 403680200 51008
1:15 AMSSW 510 FEW220
787178 82 29.950
KFWS 260615Z AUTO 20004KT 10SM FEW220 25/22 A2995 RMK AO2 T02530219
1:35 AMSSW 310 SCT220
797179 78 29.940
KFWS 260635Z AUTO 20003KT 10SM SCT220 26/22 A2994 RMK AO2 T02600219
1:55 AMSSW 310 FEW220
777277 86 29.940
KFWS 260655Z AUTO 19003KT 10SM FEW220 25/22 A2994 RMK AO2 T02480222
2:15 AMSSE 310 FEW250
767276 87 29.940
KFWS 260715Z AUTO 15003KT 10SM FEW250 25/22 A2994 RMK AO2 T02450223
2:35 AMCalm10 BKN230
767276 87 29.930
KFWS 260735Z AUTO 00000KT 10SM BKN230 25/22 A2993 RMK AO2 T02460222
2:55 AMSE 310 FEW210
OVC230
767276 89 29.920
KFWS 260755Z AUTO 13003KT 10SM FEW210 OVC230 24/22 A2992 RMK AO2 T02420223
3:15 AMCalm10 BKN210
OVC230
777277 85 29.920
KFWS 260815Z AUTO 00000KT 10SM BKN210 OVC230 25/22 A2992 RMK AO2 T02490223
3:35 AMCalm10 SCT200
SCT220
767276 89 29.920
KFWS 260835Z AUTO 00000KT 10SM SCT200 SCT220 24/22 A2992 RMK AO2 T02430224
3:55 AMSE 610 FEW190
SCT300
747274 93 29.930
KFWS 260855Z AUTO 14005KT 10SM FEW190 SCT300 24/22 A2993 RMK AO2 T02360224 55008
4:15 AMSE 510 BKN290
747274 93 29.930
KFWS 260915Z AUTO 14004KT 10SM BKN290 24/22 A2993 RMK AO2 T02350223
4:35 AMSSE 610 BKN290
757275 92 29.930
KFWS 260935Z AUTO 15005KT 10SM BKN290 24/22 A2993 RMK AO2 T02380225
4:55 AMCalm10 FEW290
757275 91 29.930
KFWS 260955Z AUTO 00000KT 10SM FEW290 24/23 A2993 RMK AO2 T02400225
5:15 AMSSE 610 BKN039
767376 91 29.940
KFWS 261015Z AUTO 16005KT 10SM BKN039 24/23 A2994 RMK AO2 T02430227
5:35 AMSSE 310 FEW039
767376 90 29.950
KFWS 261035Z AUTO 16003KT 10SM FEW039 24/23 A2995 RMK AO2 T02440228
5:55 AMCalm10 CLR
767376 91 29.950
KFWS 261055Z AUTO 00000KT 10SM CLR 24/23 A2995 RMK AO2 T02440229
6:15 AMS 510 CLR
757375 94 29.960
KFWS 261115Z AUTO 17004KT 10SM CLR 24/23 A2996 RMK AO2 T02390227
6:35 AMCalm9 FEW160
757375 92 29.950
KFWS 261135Z AUTO 00000KT 9SM FEW160 24/23 A2995 RMK AO2 T02410228
6:51 AMESE 310 CLR
757375 94 29.960
KFWS 261151Z 11003KT 10SM CLR 24/23 A2996
7:47 AMSSE 310 CLR
797579 89 29.970
KFWS 261247Z 16003KT 10SM CLR 26/24 A2997
8:47 AMS 510 CLR
827388 74 29.980
KFWS 261347Z 17004KT 10SM CLR 28/23 A2998
9:47 AMS 810 CLR
867393 66 300
KFWS 261447Z 17007KT 10SM CLR 30/23 A3000
10:46 AMSSW 910 FEW045
907095 52 300
KFWS 261546Z 19008KT 10SM FEW045 32/21 A3000
11:55 AMS 1010 FEW050
917299 52 30.010
KFWS 261655Z 17009KT 10SM FEW050 33/22 A3001
12:50 PMSSW 1010 SCT038
9373103 53 300
KFWS 261750Z 20009KT 10SM SCT038 34/23 A3000
1:48 PMSSW 810 SCT040
9373103 53 29.990
KFWS 261848Z 20007KT 10SM SCT040 34/23 A2999
2:50 PMSE 810 BKN040
9373103 53 29.970
KFWS 261950Z 14007KT 10SM BKN040 34/23 A2997
3:49 PMSSE 1010 BKN046
9573105 50 29.970
KFWS 262049Z 16009KT 10SM BKN046 35/23 A2997
4:48 PMSSE 1310 BKN048
9373103 53 29.960
KFWS 262148Z 16011KT 10SM BKN048 34/23 A2996
5:47 PMSSE 1210 SCT060
9173101 56 29.950
KFWS 262247Z 16010KT 10SM SCT060 33/23 A2995
6:50 PMS 1210 FEW060
9173101 56 29.960
KFWS 262350Z 17010KT 10SM FEW060 33/23 A2996
7:55 PMSE 88 CLR
907398 58 29.960
KFWS 270055Z AUTO 14007KT 8SM CLR 32/23 A2996 RMK AO2 T03210228
8:15 PMS 810 CLR
887396 62 29.970
KFWS 270115Z AUTO 17007KT 10SM CLR 31/23 A2997 RMK AO2 T03100230
8:35 PMS 810 CLR
877294 61 29.97T
KFWS 270135Z AUTO 18007KT 10SM CLR 31/22 A2997 RMK AO2 RAB0117E0126 P0000 T03080224
8:55 PMS 810 CLR
877293 62 29.98T
KFWS 270155Z AUTO 18007KT 10SM CLR 30/22 A2998 RMK AO2 RAB0117E0126 P0000 T03040223

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.