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Hurricane Sergio Wind Speed Probabilities Number 35
2018-10-08 04:35:45| National Hurricane Center (East Pacific)
Issued at 0300 UTC MON OCT 08 2018 000 FOPZ11 KNHC 080235 PWSEP1 HURRICANE SERGIO WIND SPEED PROBABILITIES NUMBER 35 NWS NATIONAL HURRICANE CENTER MIAMI FL EP212018 0300 UTC MON OCT 08 2018 AT 0300Z THE CENTER OF HURRICANE SERGIO WAS LOCATED NEAR LATITUDE 14.9 NORTH...LONGITUDE 127.9 WEST WITH MAXIMUM SUSTAINED WINDS NEAR 80 KTS...90 MPH...150 KM/H. Z INDICATES COORDINATED UNIVERSAL TIME (GREENWICH) PACIFIC DAYLIGHT TIME (PDT)...SUBTRACT 7 HOURS FROM Z TIME HAWAIIAN STANDARD TIME (HST)...SUBTRACT 10 HOURS FROM Z TIME WIND SPEED PROBABILITY TABLE FOR SPECIFIC LOCATIONS CHANCES OF SUSTAINED (1-MINUTE AVERAGE) WIND SPEEDS OF AT LEAST ...34 KT (39 MPH... 63 KM/H)... ...50 KT (58 MPH... 93 KM/H)... ...64 KT (74 MPH...119 KM/H)... FOR LOCATIONS AND TIME PERIODS DURING THE NEXT 5 DAYS PROBABILITIES FOR LOCATIONS ARE GIVEN AS OP(CP) WHERE OP IS THE PROBABILITY OF THE EVENT BEGINNING DURING AN INDIVIDUAL TIME PERIOD (ONSET PROBABILITY) (CP) IS THE PROBABILITY OF THE EVENT OCCURRING BETWEEN 00Z MON AND THE FORECAST HOUR (CUMULATIVE PROBABILITY) PROBABILITIES ARE GIVEN IN PERCENT X INDICATES PROBABILITIES LESS THAN 1 PERCENT PROBABILITIES FOR 34 KT AND 50 KT ARE SHOWN AT A GIVEN LOCATION WHEN THE 5-DAY CUMULATIVE PROBABILITY IS AT LEAST 3 PERCENT. PROBABILITIES FOR 34...50...64 KT SHOWN WHEN THE 5-DAY 64-KT CUMULATIVE PROBABILITY IS AT LEAST 1 PERCENT. - - - - WIND SPEED PROBABILITIES FOR SELECTED LOCATIONS - - - - FROM FROM FROM FROM FROM FROM FROM TIME 00Z MON 12Z MON 00Z TUE 12Z TUE 00Z WED 00Z THU 00Z FRI PERIODS TO TO TO TO TO TO TO 12Z MON 00Z TUE 12Z TUE 00Z WED 00Z THU 00Z FRI 00Z SAT FORECAST HOUR (12) (24) (36) (48) (72) (96) (120) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - LOCATION KT PUNTA EUGENIA 34 X X( X) X( X) X( X) X( X) 6( 6) 14(20) PUNTA EUGENIA 50 X X( X) X( X) X( X) X( X) 1( 1) 2( 3) P ABREOJOS 34 X X( X) X( X) X( X) X( X) 10(10) 15(25) P ABREOJOS 50 X X( X) X( X) X( X) X( X) 1( 1) 3( 4) LORETO 34 X X( X) X( X) X( X) X( X) 1( 1) 6( 7) P PENASCO 34 X X( X) X( X) X( X) X( X) X( X) 6( 6) HERMOSILLO 34 X X( X) X( X) X( X) X( X) X( X) 12(12) BAHIA KINO 34 X X( X) X( X) X( X) X( X) 1( 1) 14(15) BAHIA KINO 50 X X( X) X( X) X( X) X( X) X( X) 3( 3) GUAYMAS 34 X X( X) X( X) X( X) X( X) 1( 1) 10(11) HUATABAMPO 34 X X( X) X( X) X( X) X( X) X( X) 4( 4) 20N 115W 34 X X( X) X( X) X( X) X( X) 4( 4) X( 4) 25N 115W 34 X X( X) X( X) X( X) X( X) 25(25) 5(30) 25N 115W 50 X X( X) X( X) X( X) X( X) 4( 4) 2( 6) 15N 120W 34 X X( X) X( X) X( X) 2( 2) 1( 3) X( 3) 20N 120W 34 X X( X) X( X) X( X) 30(30) 13(43) X(43) 20N 120W 50 X X( X) X( X) X( X) 6( 6) 8(14) X(14) 20N 120W 64 X X( X) X( X) X( X) 2( 2) 1( 3) X( 3) 25N 120W 34 X X( X) X( X) X( X) 1( 1) 13(14) X(14) 25N 120W 50 X X( X) X( X) X( X) X( X) 3( 3) X( 3) 15N 125W 34 5 5(10) 5(15) 6(21) 2(23) X(23) X(23) 20N 125W 34 X 1( 1) 5( 6) 8(14) 26(40) X(40) X(40) 20N 125W 50 X X( X) X( X) X( X) 9( 9) X( 9) X( 9) 20N 125W 64 X X( X) X( X) X( X) 3( 3) X( 3) X( 3) 15N 130W 34 49 8(57) 2(59) 1(60) X(60) X(60) X(60) 15N 130W 50 2 3( 5) X( 5) X( 5) X( 5) X( 5) X( 5) 20N 130W 34 2 3( 5) 4( 9) 1(10) X(10) X(10) X(10) $$ FORECASTER AVILA
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Category:Transportation and Logistics