| Date Time MST |
Temp °F |
RH % |
DewPt °F |
Wind mph |
Dir ° |
Gust mph |
Dir ° |
Press in Hg |
Solar W/m^2 |
Prec in |
|---|---|---|---|---|---|---|---|---|---|---|
| 2020-11-30 16:40 | 40.3 | 30.3 | 11.5 | 4.0 | 204 | 4.6 | 206 | 0.000 | 3.5 | 0.00 |
| 2020-11-30 16:35 | 41.1 | 30.5 | 12.3 | 2.5 | 176 | 3.5 | 176 | 0.000 | 5.4 | 0.00 |
| 2020-11-30 16:30 | 44.0 | 28.3 | 13.2 | 1.0 | 152 | 2.1 | 179 | 0.000 | 7.2 | 0.00 |
| 2020-11-30 16:25 | 47.9 | 24.8 | 13.6 | 0.0 | 192 | 0.1 | 192 | 0.000 | 8.9 | 0.00 |
| 2020-11-30 16:20 | 49.4 | 20.5 | 10.5 | 0.5 | 192 | 1.4 | 23 | 0.000 | 10.6 | 0.00 |
| 2020-11-30 16:15 | 49.0 | 20.4 | 10.2 | 0.9 | 35 | 2.0 | 84 | 0.000 | 12.2 | 0.00 |
| 2020-11-30 16:10 | 50.2 | 20.4 | 11.1 | 1.9 | 47 | 4.0 | 156 | 0.000 | 13.7 | 0.00 |
| 2020-11-30 16:05 | 50.8 | 19.2 | 10.3 | 6.0 | 154 | 8.4 | 162 | 0.000 | 15.3 | 0.00 |
| 2020-11-30 16:00 | 51.4 | 18.0 | 9.3 | 4.6 | 169 | 6.9 | 169 | 0.000 | 19.1 | 0.00 |
| 2020-11-30 15:55 | 54.9 | 18.8 | 13.2 | 3.0 | 165 | 4.5 | 86 | 0.000 | 73.8 | 0.00 |
| 2020-11-30 15:50 | 55.3 | 14.4 | 7.6 | 4.0 | 78 | 5.3 | 69 | 0.000 | 94.6 | 0.00 |
| 2020-11-30 15:45 | 55.2 | 14.6 | 7.6 | 4.4 | 53 | 5.9 | 27 | 0.000 | 111.4 | 0.00 |
| 2020-11-30 15:40 | 56.4 | 14.7 | 8.8 | 1.6 | 7 | 4.0 | 4 | 0.000 | 126.9 | 0.00 |
| 2020-11-30 15:35 | 56.9 | 15.1 | 9.9 | 0.1 | 154 | 1.1 | 117 | 0.000 | 141.0 | 0.00 |
| 2020-11-30 15:30 | 57.1 | 11.8 | 4.6 | 1.9 | 96 | 3.8 | 36 | 0.000 | 153.1 | 0.00 |
| 2020-11-30 15:25 | 57.6 | 12.9 | 6.9 | 3.9 | 28 | 5.4 | 20 | 0.000 | 166.2 | 0.00 |
| 2020-11-30 15:20 | 58.2 | 12.3 | 6.3 | 1.1 | 50 | 2.7 | 50 | 0.000 | 179.2 | 0.00 |
| 2020-11-30 15:15 | 57.7 | 12.1 | 5.5 | 2.8 | 118 | 4.5 | 132 | 0.000 | 191.7 | 0.00 |
| 2020-11-30 15:10 | 57.8 | 11.6 | 4.7 | 3.6 | 141 | 4.9 | 142 | 0.000 | 203.6 | 0.00 |
| 2020-11-30 15:05 | 57.8 | 12.1 | 5.7 | 2.1 | 145 | 3.8 | 171 | 0.000 | 216.1 | 0.00 |
| 2020-11-30 15:00 | 57.6 | 11.6 | 4.5 | 2.7 | 142 | 5.3 | 151 | 0.000 | 228.3 | 0.00 |
| 2020-11-30 14:55 | 57.4 | 11.6 | 4.3 | 4.5 | 144 | 6.5 | 147 | 0.000 | 240.6 | 0.00 |
| 2020-11-30 14:50 | 57.4 | 12.7 | 6.4 | 3.5 | 120 | 5.0 | 137 | 0.000 | 252.5 | 0.00 |
| 2020-11-30 14:45 | 57.7 | 11.9 | 5.2 | 4.3 | 170 | 6.1 | 156 | 0.000 | 264.6 | 0.00 |
| 2020-11-30 14:40 | 57.4 | 11.9 | 4.9 | 4.7 | 145 | 6.4 | 156 | 0.000 | 275.8 | 0.00 |
| 2020-11-30 14:35 | 57.0 | 12.3 | 5.3 | 4.1 | 146 | 5.8 | 145 | 0.000 | 287.1 | 0.00 |
| 2020-11-30 14:30 | 56.8 | 12.5 | 5.6 | 4.9 | 133 | 6.6 | 133 | 0.000 | 297.7 | 0.00 |
| 2020-11-30 14:25 | 56.7 | 12.9 | 6.2 | 4.9 | 125 | 6.6 | 147 | 0.000 | 309.3 | 0.00 |
| 2020-11-30 14:20 | 56.6 | 12.4 | 5.2 | 4.2 | 143 | 6.1 | 141 | 0.000 | 320.3 | 0.00 |
| 2020-11-30 14:15 | 56.4 | 12.3 | 5.0 | 5.4 | 153 | 7.8 | 165 | 0.000 | 331.1 | 0.00 |
Ensemble forecasts of tropical cyclones provide a wealth of data for operational forecasters and researchers, but fully utilizing the data remains a challenge. Regression mixture-model clustering is demonstrated as a method to partition tropical cyclone ensemble forecasts into a small number of groups based on track. Clustering facilitates the exploration of storm evolution and hazards… Read more »
Satellite radiance data have been shown to have consistent positive impact with statistical significance within the NOAA Rapid Refresh (RAP) hourly updated model system. RAP version 4 (RAPv4) was implemented operationally at the National Centers for Environmental Prediction (NCEP) in July 2018. This implementation included a significant radiance upgrade package with greater use of direct… Read more »
The San Francisco Bay Area is covered by two operational S-band WSR-88D: KMUX and KDAX. However, the KDAX radar beams are partially blocked at low elevation angles due to the mountainous terrain, whereas the KMUX radar is deployed at an elevation of over 1000 m, which can easily overshoot precipitation during the winter storm seasons… Read more »
Forecasting the timing and magnitude of tropical cyclone rapid intensification (RI) remains an ongoing forecasting problem. Although the ability of deterministic tropical cyclone intensity models to forecast such events has improved, their skill remains inadequate. Thus, forecasters have relied on other tools such as the SHIPS suite of probabilistic statistical rapid intensity models to aid… Read more »
Forecasting the timing and magnitude of tropical cyclone rapid intensification (RI) remains an ongoing forecasting problem. Although the ability of deterministic tropical cyclone intensity models to forecast such events has improved, their skill remains inadequate. Thus, forecasters have relied on other tools such as the SHIPS suite of probabilistic statistical rapid intensity models to aid… Read more »
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