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Station 62163 - Search and Rescue Data

Brittany Buoy
47.550 N 8.470 W (47°33'0" N 8°28'12" W)

For realtime data go to U.K. Met Office

Average surface winds - six hour block.


Date

UTC
Average
Wind Dir
(True)
Average
Wind Spd
(Knots)
 Wind
Obs
Average
Seas
(Feet)
 Wave
Obs
12-04-20160000Z10021696
12-03-20161800Z9820686
12-03-20161200Z10320676
12-03-20160600Z10018676
12-03-20160000Z10718363
12-02-20161800Z10016161
12-02-20161200Z10515252
12-02-20160600Z9012161
12-02-20160000Z10716363
12-01-20161800Z11015161
12-01-20161200Z12013161
12-01-20160600Z11015161
12-01-20160000Z9717373
11-30-20161800Z10019262
11-30-20161200Z9012161
11-30-20160600Z10017171
11-30-20160000Z9015474
11-29-20161800Z7017272
11-29-20161200Z7017181
11-29-20160600Z8017191
11-29-20160000Z8313383
11-28-20161800Z9016171
11-28-20161200Z7515282
11-28-20160600Z7019181
11-28-20160000Z9014383
11-27-20161800Z9018171
11-27-20161200Z8016171
11-27-20160600Z8018161
11-27-20160000Z8113373
11-26-20161800Z7016171
11-26-20161200Z7018161
11-26-20160600Z7019191
11-26-20160000Z77223103
11-25-20161800Z50221101
11-25-20161200Z40231101
11-25-20160600Z50241101
11-25-20160000Z57193113
11-24-20161800Z60231151
11-24-20161200Z45252122
11-24-20160600Z40261121
11-24-20160000Z2026393
11-23-20161800Z3022181
11-23-20161200Z2019171
11-23-20160600Z2019191
11-23-20160000Z10163113
11-22-20161800Z6091111
11-22-20161200Z360151141
11-22-20160600Z350161131
11-22-20160000Z340203173
11-21-20161800Z320231191
11-21-20161200Z335282192
11-21-20160600Z340241121
11-21-20160000Z20753103
11-20-20161800Z23014191
11-20-20161200Z220172132
11-20-20160600Z22051151
11-20-20160000Z290203183
11-19-20161800Z260341191
11-19-20161200Z195222132
11-19-20160600Z250171161
11-19-20160000Z294143193
11-18-20161800Z310221191
11-18-20161200Z290231201
11-18-20160600Z290221201
11-18-20160000Z287263223
11-17-20161800Z290311201
11-17-20161200Z250271191
11-17-20160600Z270211131
11-17-20160000Z26318393
11-16-20161800Z29013191
11-16-20161200Z26517282
11-16-20160600Z25018191
11-16-20160000Z25415373
11-15-20161800Z26010161
11-15-20161200Z25610262
11-15-20160600Z2808161
11-15-20160000Z2796363
11-14-20161800Z2806151
11-14-20161200Z2704161
11-14-20160600Z3503161
11-14-20160000Z146363
11-13-20161800Z96363
11-13-20161200Z198272
11-13-20160600Z1013171
11-13-20160000Z35315373
11-12-20161800Z36017181
11-12-20161200Z35017161
11-12-20160600Z32014171
11-12-20160000Z23317373
11-11-20161800Z21014161
11-11-20161200Z19514292
11-11-20160600Z18081101
11-11-20160000Z31793123
11-10-20161800Z320131131
11-10-20161200Z290212132
11-10-20160600Z290201131
11-10-20160000Z287223133
11-09-20161800Z280201131
11-09-20161200Z290211131
11-09-20160600Z310231151
11-09-20160000Z323273133
11-08-20161800Z320221101
11-08-20161200Z23020161
11-08-20160600Z26013151
11-08-20160000Z34412373
11-07-20161800Z34014161
11-07-20161200Z15182102
11-07-20160600Z20181101
11-07-20160000Z3213123
11-06-20161800Z350231111
11-06-20161200Z360221101
11-06-20160600Z350221101
11-06-20160000Z5202122
11-05-20161800Z360211111
11-05-20161200Z10191101
11-05-20160600Z33013272
11-05-20160000Z34014363
11-04-20161800Z34014161
11-04-20161200Z35518262
11-04-20160600Z32014141
11-04-20160000Z2766333
11-03-20161800Z1705141
11-03-20161200Z1605141
11-03-20160600Z1408141
11-03-20160000Z10314363
11-02-20161800Z11014151
11-02-20161200Z8012151
11-02-20160600Z709161
11-02-20160000Z539363
11-01-20161800Z607151
11-01-20161200Z809151
11-01-20160600Z4012151
11-01-20160000Z1007353
10-31-20161800Z1209171
10-31-20161200Z1008161
10-31-20160600Z1109171
10-31-20160000Z1205474
10-30-20161800Z9010181
10-30-20161200Z809171
10-30-20160600Z806151
10-30-20160000Z9610353
10-29-20161800Z10011161
10-29-20161200Z10012161
10-29-20160600Z9013161
10-29-20160000Z10311353
10-28-20161800Z10013161
10-28-20161200Z10012161
10-28-20160600Z10011161
10-28-20160000Z10311363
10-27-20161800Z13011161
10-27-20161200Z1208141
10-27-20160600Z13011141
10-27-20160000Z1339343
10-26-20161800Z1106141
10-26-20161200Z1306141
10-26-20160600Z1308141
10-26-20160000Z1306353
10-25-20161800Z1308161
10-25-20161200Z1505161
10-25-20160600Z1507171
10-25-20160000Z1656373
10-24-20161800Z1907191
10-24-20161200Z22410292
10-24-20160600Z20081111
10-24-20160000Z203123113
10-23-20161800Z140101121
10-23-20161200Z160101131
10-23-20160600Z80291141
10-23-20160000Z93273123
10-22-20161800Z110251101
10-22-20161200Z11023191
10-22-20160600Z12020181
10-22-20160000Z110193103
10-21-20161800Z11017191
10-21-20161200Z11014191
10-21-20160600Z1009171
10-21-20160000Z6011161
10-20-20161800Z6011151
10-20-20161200Z5013282
10-20-20160600Z5012171
10-20-20160000Z3011474
10-19-20161800Z2012181
10-19-20161200Z209191
10-19-20160600Z307181
10-19-20160000Z18373

The six-hour averages are calculated as follows:

  • The 0000Z average uses data from 2100Z to 0259Z.
  • The 0600Z average uses data from 0300Z to 0859Z.
  • The 1200Z average uses data from 0900Z to 1459Z.
  • The 1800Z average uses data from 1500Z to 2059Z.

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