| Date Time MST |
Temp °F |
RH % |
DewPt °F |
Wind mph |
Dir ° |
Gust mph |
Dir ° |
Press in Hg |
Solar W/m^2 |
Prec in |
|---|---|---|---|---|---|---|---|---|---|---|
| 2019-09-16 14:30 | 89.2 | 12.1 | 30.1 | 5.1 | 150 | 8.7 | 149 | 24.728 | 725.2 | 0.00 |
| 2019-09-16 14:25 | 89.9 | 12.0 | 30.6 | 6.2 | 146 | 9.2 | 139 | 24.748 | 772.6 | 0.00 |
| 2019-09-16 14:20 | 89.8 | 12.1 | 30.6 | 7.0 | 122 | 11.3 | 134 | 24.740 | 770.1 | 0.00 |
| 2019-09-16 14:15 | 89.8 | 12.8 | 32.1 | 5.5 | 72 | 9.3 | 121 | 24.763 | 802.0 | 0.00 |
| 2019-09-16 14:10 | 90.7 | 12.3 | 31.7 | 7.0 | 109 | 11.9 | 118 | 24.757 | 857.0 | 0.00 |
| 2019-09-16 14:05 | 91.5 | 11.6 | 31.0 | 6.0 | 121 | 17.9 | 179 | 24.745 | 887.0 | 0.00 |
| 2019-09-16 14:00 | 89.5 | 11.8 | 29.8 | 2.4 | 176 | 6.1 | 230 | 24.738 | 905.0 | 0.00 |
| 2019-09-16 13:55 | 88.4 | 11.8 | 29.1 | 6.1 | 244 | 8.2 | 220 | 24.723 | 839.0 | 0.00 |
| 2019-09-16 13:50 | 87.9 | 12.5 | 30.1 | 6.8 | 264 | 10.4 | 233 | 24.750 | 679.2 | 0.00 |
| 2019-09-16 13:45 | 88.4 | 12.5 | 30.4 | 4.6 | 302 | 6.7 | 213 | 24.752 | 834.0 | 0.00 |
| 2019-09-16 13:40 | 88.1 | 12.5 | 30.1 | 4.7 | 241 | 8.3 | 191 | 24.760 | 847.0 | 0.00 |
| 2019-09-16 13:35 | 88.9 | 12.6 | 30.9 | 6.1 | 135 | 10.6 | 141 | 24.764 | 883.0 | 0.00 |
| 2019-09-16 13:30 | 88.8 | 12.6 | 30.9 | 5.5 | 235 | 9.6 | 202 | 24.766 | 906.0 | 0.00 |
| 2019-09-16 13:25 | 89.1 | 12.1 | 30.2 | 4.8 | 135 | 7.5 | 151 | 24.766 | 907.0 | 0.00 |
| 2019-09-16 13:20 | 87.3 | 12.7 | 29.9 | 3.4 | 151 | 8.1 | 136 | 24.767 | 790.1 | 0.00 |
| 2019-09-16 13:15 | 86.4 | 13.1 | 30.0 | 4.5 | 141 | 7.0 | 137 | 24.768 | 453.6 | 0.00 |
| 2019-09-16 13:10 | 85.9 | 14.2 | 31.5 | 3.4 | 144 | 7.7 | 116 | 24.769 | 385.8 | 0.00 |
| 2019-09-16 13:05 | 85.9 | 12.9 | 29.2 | 3.5 | 78 | 7.7 | 93 | 24.770 | 329.3 | 0.00 |
| 2019-09-16 13:00 | 86.2 | 13.4 | 30.5 | 5.3 | 93 | 8.7 | 125 | 24.771 | 325.0 | 0.00 |
| 2019-09-16 12:55 | 87.3 | 13.2 | 30.9 | 5.6 | 115 | 8.3 | 81 | 24.771 | 386.8 | 0.00 |
| 2019-09-16 12:50 | 88.0 | 12.9 | 30.8 | 4.9 | 82 | 7.3 | 82 | 24.773 | 818.0 | 0.00 |
| 2019-09-16 12:45 | 87.2 | 13.2 | 30.7 | 6.1 | 138 | 9.1 | 154 | 24.774 | 832.0 | 0.00 |
| 2019-09-16 12:40 | 86.2 | 13.6 | 30.8 | 6.2 | 92 | 10.0 | 142 | 24.775 | 556.3 | 0.00 |
| 2019-09-16 12:35 | 85.4 | 13.6 | 30.1 | 6.8 | 124 | 10.8 | 126 | 24.774 | 452.3 | 0.00 |
| 2019-09-16 12:30 | 85.4 | 14.5 | 31.7 | 7.3 | 141 | 12.1 | 133 | 24.773 | 431.1 | 0.00 |
| 2019-09-16 12:25 | 85.6 | 14.2 | 31.3 | 8.1 | 152 | 11.0 | 149 | 24.771 | 415.6 | 0.00 |
| 2019-09-16 12:20 | 85.7 | 13.1 | 29.3 | 5.8 | 119 | 9.6 | 127 | 24.771 | 494.2 | 0.00 |
| 2019-09-16 12:15 | 86.6 | 12.7 | 29.3 | 5.6 | 156 | 9.8 | 127 | 24.775 | 456.1 | 0.00 |
| 2019-09-16 12:10 | 87.6 | 12.9 | 30.6 | 7.2 | 131 | 10.6 | 130 | 24.776 | 888.0 | 0.00 |
| 2019-09-16 12:05 | 87.1 | 13.4 | 31.1 | 6.5 | 151 | 10.7 | 164 | 24.776 | 875.0 | 0.00 |
Global warming simulations robustly show that mean precipitation increases at 1-3% per Kelvin, but we do not know what sets these values. Mean precipitation is constrained by radiative cooling, however, and we demonstrate here that radiative cooling profiles exhibit a certain invariance under warming when plotted in temperature coordinates. This invariance can then be leveraged… Read more »
University of Wyoming King Air (UWKA) is a part of NSF-supported Lower Atmosphere Observing Facilities (LAOF). Through multi-year development efforts, UWKA has equipped with integrated observation capabilities for cloud dynamics and microphysics, aerosols, and environment conditions through combining lidar, radar, radiometer and in situ measurements. Approaches were developed to retrieve droplet and ice concentrations in… Read more »
The weather forecasting process has grown more complex in recent years with the growing amount of observational data and model output available to weather forecasters and the trend toward providing more impact-based decision support services. In order to assist forecasters and end-users with the task of managing the firehose of data, I have developed and… Read more »
The extensive cloudiness and resulting high albedo of the Southern Oceans (SO) are predominantly due to the occurrence of widespread marine boundary layer (MBL) clouds. Recent work finds correlations between biogenically enhanced cloud condensation nuclei concentrations and cloud droplet number concentrations derived from passive satellite data. The active remote sensors in the A-Train have created… Read more »
A key project within the National Oceanic and Atmospheric Administration (NOAA) Global Observing Systems Analysis (GOSA) group is the Sensing Hazards with Operational Unmanned Technology (SHOUT) project. One of the main objectives of SHOUT is to conduct both Observing System Experiments (OSEs) and Observing System Simulation Experiments (OSSEs) to evaluate the impact of real and… Read more »