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
2019-12-06 02:55 26.0 96.9 25.3 7.6 325 8.0 321 24.982 0.1 0.00
2019-12-06 02:50 26.2 97.3 25.6 6.5 325 7.4 323 24.983 0.1 0.00
2019-12-06 02:45 26.4 97.4 25.8 5.9 309 6.6 311 24.982 0.1 0.00
2019-12-06 02:40 26.2 97.4 25.6 6.5 311 7.6 313 24.983 0.1 0.00
2019-12-06 02:35 26.9 97.5 26.3 7.2 312 7.7 316 24.984 0.1 0.00
2019-12-06 02:30 27.1 97.8 26.5 7.2 319 7.7 321 24.982 0.1 0.00
2019-12-06 02:25 27.4 98.0 26.9 6.3 316 7.1 319 24.983 0.1 0.00
2019-12-06 02:20 27.3 98.0 26.8 5.5 317 7.1 317 24.981 0.1 0.00
2019-12-06 02:15 26.8 98.1 26.3 4.7 308 5.3 312 24.982 0.1 0.00
2019-12-06 02:10 26.8 98.0 26.3 4.8 310 5.3 323 24.983 0.1 0.00
2019-12-06 02:05 26.7 98.0 26.2 4.9 315 5.6 334 24.981 0.1 0.00
2019-12-06 02:00 26.7 98.0 26.3 5.7 336 6.0 330 24.979 0.1 0.00
2019-12-06 01:55 26.4 97.9 25.9 5.7 328 6.4 332 24.980 0.1 0.00
2019-12-06 01:50 27.4 97.9 26.9 5.8 332 6.7 338 24.980 0.1 0.00
2019-12-06 01:45 28.3 98.2 27.9 5.9 338 7.2 336 24.978 0.1 0.00
2019-12-06 01:40 27.2 98.3 26.8 4.2 336 5.0 336 24.980 0.1 0.00
2019-12-06 01:35 26.9 98.0 26.4 4.5 335 5.6 344 24.978 0.1 0.00
2019-12-06 01:30 27.0 98.0 26.5 1.9 270 4.4 289 24.977 0.1 0.00
2019-12-06 01:25 26.9 97.9 26.4 3.3 326 4.4 329 24.976 0.1 0.00
2019-12-06 01:20 27.4 97.8 26.9 4.3 329 4.6 349 24.976 0.0 0.00
2019-12-06 01:15 28.3 97.9 27.8 4.7 349 5.0 349 24.976 0.0 0.00
2019-12-06 01:10 28.7 98.0 28.2 4.6 348 5.2 343 24.975 0.0 0.00
2019-12-06 01:05 28.6 97.9 28.0 3.4 330 3.9 321 24.975 0.0 0.00
2019-12-06 01:00 28.7 97.8 28.1 2.6 314 3.1 314 24.978 0.0 0.00
2019-12-06 00:55 29.0 97.9 28.5 3.1 341 3.6 354 24.977 0.0 0.00
2019-12-06 00:50 29.7 97.8 29.2 3.0 354 3.7 1 24.979 0.0 0.00
2019-12-06 00:45 29.0 97.9 28.5 1.8 2 3.7 2 24.980 0.0 0.00
2019-12-06 00:40 28.6 97.4 28.0 0.0 328 0.0 274 24.982 0.0 0.00
2019-12-06 00:35 28.8 97.4 28.1 0.8 274 1.7 265 24.980 0.0 0.00
2019-12-06 00:30 29.2 97.3 28.5 2.0 265 2.5 270 24.982 0.0 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.