KAKR NBM V4.3 NBH GUIDANCE 3/27/2026 0700 UTC UTC 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 00 01 02 03 04 05 06 07 08 TMP 38 36 34 33 32 32 33 33 35 37 38 39 38 36 35 34 32 30 30 29 28 28 27 27 26 TSD 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 2 2 2 2 2 2 3 3 3 DPT 35 32 31 29 27 26 26 25 25 25 24 24 22 20 19 19 18 19 19 18 18 18 18 18 18 DSD 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 2 2 2 2 2 2 3 3 3 SKY 92 92 91 91 90 83 81 81 76 73 57 40 41 28 25 29 26 28 27 23 36 29 29 34 41 SSD 7 7 7 8 8 10 10 11 12 12 26 31 36 32 31 32 32 36 34 30 32 28 27 32 35 WDR 36 36 1 1 2 2 2 2 2 2 1 35 34 34 34 34 34 34 34 34 34 32 31 30 30 WSP 12 12 11 11 10 10 10 10 10 9 9 9 10 10 9 8 6 6 5 4 4 3 3 3 3 WSD 2 2 2 2 2 1 1 1 1 2 2 2 2 3 2 2 2 2 2 3 3 3 3 3 3 GST 22 22 21 20 19 19 18 17 17 15 14 16 17 17 16 14 13 12 11 11 10 10 9 9 9 GSD 4 4 3 3 3 3 3 3 3 3 3 3 4 5 4 3 3 3 3 3 3 3 3 3 3 P01 55 26 8 6 2 1 2 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10
KAKR NBM V4.3 NBE GUIDANCE 3/27/2026 0700 UTC
SAT 28| SUN 29| MON 30| TUE 31| WED 01| THU 02| FRI 03|SAT CLIMO
UTC 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00 12| 00
FHR 17 29| 41 53| 65 77| 89 101|113 125|137 149|161 173|185
TXN 44 25| 43 30| 59 43| 66 55| 76 51| 61 36| 57 43| 64 34 53
XND 2 3| 2 3| 3 1| 3 2| 1 6| 7 5| 4 3| 2
TMP 32 26| 36 35| 52 48| 61 59| 69 58| 48 38| 49 47| 55
TSD 2 2| 3 2| 2 3| 2 2| 2 5| 6 6| 6 7| 5
DPT 18 18| 19 22| 33 39| 50 54| 56 50| 37 31| 36 42| 45
DSD 2 2| 3 2| 2 2| 2 2| 2 4| 6 6| 6 7| 5
SKY 26 44| 22 74| 68 64| 72 86| 70 78| 65 73| 81 86| 66
SSD 32 32| 20 32| 14 30| 25 8| 15 13| 25 33| 15 7| 10
WDR 34 31| 24 20| 21 21| 20 21| 21 25| 35 5| 7 13| 16
WSP 6 5| 2 8| 8 7| 8 11| 11 11| 10 9| 9 9| 8
WSD 2 3| 2 2| 3 4| 4 4| 3 3| 3 3| 3 4| 4
GST 13 12| 7 16| 16 16| 16 22| 21 22| 18 18| 18 18| 15
GSD 3 4| 3 4| 4 6| 6 7| 6 6| 5 5| 5 6| 6
P12 5 6| 0 0| 1 12| 27 55| 55 50| 64 38| 51 60| 43 37 32Standard 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.