KAKR NBM V4.2 NBH GUIDANCE 9/19/2024 0300 UTC UTC 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 00 01 02 03 04 TMP 67 65 64 64 63 63 62 62 63 67 70 73 75 78 80 80 80 80 79 77 74 71 68 67 65 TSD 1 1 1 1 1 1 1 2 2 1 1 1 2 1 1 1 1 2 2 1 2 1 1 1 1 DPT 61 61 61 61 61 61 60 60 61 62 63 63 63 62 61 61 61 60 60 60 60 60 60 60 59 DSD 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 2 1 1 1 1 SKY 9 13 25 23 29 27 35 37 22 23 20 24 28 31 33 28 31 38 36 19 12 4 4 3 1 SSD 10 11 19 21 31 23 28 33 30 32 23 20 26 27 25 19 22 31 31 23 14 4 4 3 1 WDR 10 9 9 9 8 8 8 8 8 9 9 8 7 7 7 7 6 5 5 5 3 5 6 7 8 WSP 3 2 2 1 1 1 1 1 2 2 3 4 5 5 5 5 5 5 5 5 5 4 3 3 2 WSD 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 2 2 2 2 2 2 2 2 2 2 GST 8 8 7 7 6 6 6 6 6 6 6 7 7 7 8 8 8 8 8 9 9 8 8 7 6 GSD 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 2 2 2 P01 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 2 1 1 1 1 1
KAKR NBM V4.2 NBE GUIDANCE 9/19/2024 0300 UTC FRI 20| SAT 21| SUN 22| MON 23| TUE 24| WED 25| THU 26|FRI CLIMO UTC 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 FHR 21 33| 45 57| 69 81| 93 105|117 129|141 153|165 177|189 TXN 82 58| 85 63| 84 61| 84 64| 78 60| 77 59| 75 57| 74 51 71 XND 1 2| 2 2| 3 2| 2 1| 3 4| 4 2| 2 4| 3 TMP 74 60| 76 64| 75 63| 75 65| 70 61| 69 61| 68 59| 67 TSD 2 2| 2 2| 2 2| 2 2| 3 4| 3 3| 3 4| 4 DPT 60 57| 56 58| 61 60| 61 62| 61 59| 59 59| 59 57| 57 DSD 2 2| 2 2| 2 1| 2 2| 3 4| 3 3| 3 4| 4 SKY 12 9| 29 34| 22 37| 72 74| 66 51| 61 76| 74 68| 67 SSD 14 26| 27 21| 17 21| 14 12| 22 23| 27 11| 22 15| 32 WDR 3 12| 7 16| 2 11| 10 16| 14 15| 14 17| 9 19| 6 WSP 5 1| 4 4| 5 4| 7 7| 7 6| 7 6| 7 6| 8 WSD 2 2| 3 3| 3 3| 3 3| 3 4| 3 4| 3 4| 4 GST 9 5| 8 9| 8 9| 12 13| 12 12| 12 12| 12 13| 13 GSD 3 2| 3 3| 3 4| 4 4| 4 6| 5 6| 6 7| 7 P12 3 1| 2 15| 21 5| 16 37| 53 41| 38 35| 48 39| 43 5 11
Standard Deviation: In the context of weather forecasting, standard deviation (SD) measures the amount of variation or dispersion from the average. The smaller the SD, the more confident the forecast. It's calculated based on historical forecast data and indicates the reliability of the forecast.