Christman Field Latest Observations
Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2020-04-09 15:10 56.0 32.6 27.0 8.1 89 11.8 103 24.900 601.9 0.00
2020-04-09 15:05 55.1 33.6 27.0 7.5 121 11.7 116 24.901 615.0 0.00
2020-04-09 15:00 55.4 32.9 26.7 8.5 133 12.2 142 24.901 628.7 0.00
2020-04-09 14:55 55.6 31.3 25.7 8.1 39 11.8 118 24.902 641.2 0.00
2020-04-09 14:50 55.8 32.8 26.9 6.9 163 12.2 161 24.905 654.3 0.00
2020-04-09 14:45 55.6 35.9 29.0 8.2 177 10.9 146 24.909 666.2 0.00
2020-04-09 14:40 55.8 32.7 26.9 4.3 88 10.2 88 24.911 679.2 0.00
2020-04-09 14:35 55.0 33.5 26.8 6.3 191 10.7 185 24.911 689.9 0.00
2020-04-09 14:30 55.0 35.2 28.0 9.2 208 14.8 167 24.911 702.2 0.00
2020-04-09 14:25 55.0 35.5 28.2 7.5 151 13.9 89 24.916 712.1 0.00
2020-04-09 14:20 55.1 33.3 26.7 8.3 93 14.4 83 24.917 722.5 0.00
2020-04-09 14:15 54.5 32.9 25.9 7.4 115 10.7 89 24.917 732.3 0.00
2020-04-09 14:10 54.9 33.4 26.7 8.7 87 15.0 92 24.915 744.5 0.00
2020-04-09 14:05 54.8 35.3 27.9 6.5 101 8.8 122 24.917 754.4 0.00
2020-04-09 14:00 54.2 35.4 27.4 5.0 97 8.3 173 24.920 763.7 0.00
2020-04-09 13:55 54.0 33.0 25.6 7.8 128 12.8 163 24.925 771.2 0.00
2020-04-09 13:50 54.4 33.2 26.1 7.9 176 12.1 138 24.928 781.0 0.00
2020-04-09 13:45 54.1 38.8 29.6 6.2 149 16.4 71 24.928 790.0 0.00
2020-04-09 13:40 53.6 33.3 25.5 2.7 47 5.8 199 24.928 797.2 0.00
2020-04-09 13:35 53.4 35.2 26.6 6.3 211 11.4 192 24.929 804.0 0.00
2020-04-09 13:30 54.1 33.4 25.9 8.9 30 12.8 102 24.929 812.0 0.00
2020-04-09 13:25 53.7 34.1 26.1 6.5 88 12.5 80 24.933 816.0 0.00
2020-04-09 13:20 53.3 33.6 25.3 4.5 6 9.6 139 24.938 822.0 0.00
2020-04-09 13:15 53.3 35.3 26.6 8.1 131 13.2 130 24.936 831.0 0.00
2020-04-09 13:10 53.4 36.9 27.7 7.1 147 11.4 143 24.936 838.0 0.00
2020-04-09 13:05 53.7 35.0 26.7 4.8 121 8.7 118 24.937 842.0 0.00
2020-04-09 13:00 53.9 36.2 27.8 6.8 13 12.8 42 24.940 848.0 0.00
2020-04-09 12:55 53.5 33.7 25.6 5.1 69 12.8 96 24.941 850.0 0.00
2020-04-09 12:50 52.9 36.6 27.0 3.9 183 11.0 112 24.947 853.0 0.00
2020-04-09 12:45 52.8 37.5 27.5 4.9 81 9.3 66 24.949 857.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Climate and Weather Processes


Global and regional climate sensitivity is defined primarily by feedbacks to the planets’ hydrological cycle that in turn alter the planet’s energy balance. These feedbacks involve processes that are ‘fast’ such as cloud and precipitation processes, evolving within the ‘weather envelope’, or slow such as changes related to land cover, carbon exchanges or ice sheet extent that evolve within the ‘climate envelope’. Research within CIRA and in conjunction with the ATS faculty has made important contributions to the observing, understanding and modeling of important processes key to improving numerical weather/climate prediction.

 

The severe decrease in Arctic sea ice in 2007 underscores the delicate connections between changing weather and climate trends (e.g. Kay et al., 2008). Shifts in weather processes, such as the drying of the atmosphere and the clearing of Arctic clouds (perhaps associated with decadal oscillations), accelerated the sea ice loss and amplified the slower climate forcing effects of sea ice. As another example, predictions of long-term trends in air quality must consider not only emissions projections but also the affect that climate change will have on regional to-global scale weather patterns (e.g., impacting transport, trapping inversions, etc.). In acknowledgement of the importance of the weather-climate connection, the Department of Energy’s Atmospheric Radiation Measurement and Climate Change Prediction Programs now run a climate model in NWP mode.

 

Research conducted under this theme employs a combination of numerical models and environmental data to understand processes that dictate changes on weather and climate timescales (minutes to months to years) and the two-way interactions between weather systems and regional and global climate. Research related to the hydrologic cycle, carbon exchanges and turbulent flux exchanges all have the ability to influence both weather and climate and thus form the basis of this research theme. Also included are those studies that look at weather systems from a process perspective and the development of data sets intended for climate trend analysis.