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
2019-10-22 04:15 29.8 67.3 20.3 2.4 173 4.7 192 24.919 0.0 0.00
2019-10-22 04:10 31.1 62.6 19.8 4.6 191 5.5 186 24.919 0.0 0.00
2019-10-22 04:05 30.7 62.1 19.3 2.4 178 4.3 185 24.917 0.0 0.00
2019-10-22 04:00 31.7 60.5 19.6 1.0 273 2.6 274 24.919 0.0 0.00
2019-10-22 03:55 31.7 58.2 18.7 0.0 243 0.0 243 24.918 0.0 0.00
2019-10-22 03:50 31.5 61.2 19.7 0.5 243 2.8 262 24.920 0.0 0.00
2019-10-22 03:45 31.9 59.4 19.3 1.6 261 3.5 16 24.921 0.0 0.00
2019-10-22 03:40 30.5 57.7 17.4 2.4 15 3.5 354 24.922 0.0 0.00
2019-10-22 03:35 31.7 58.4 18.7 1.9 323 3.9 305 24.926 0.0 0.00
2019-10-22 03:30 33.4 57.4 20.0 2.0 305 4.1 48 24.927 0.0 0.00
2019-10-22 03:25 36.0 49.5 18.9 4.1 48 4.6 45 24.930 0.0 0.00
2019-10-22 03:20 34.7 50.7 18.2 3.0 53 3.6 87 24.929 0.0 0.00
2019-10-22 03:15 34.2 54.7 19.6 1.0 97 2.9 97 24.930 0.0 0.00
2019-10-22 03:10 33.8 55.5 19.6 0.8 105 2.5 105 24.932 0.0 0.00
2019-10-22 03:05 33.0 57.6 19.6 1.3 161 3.1 181 24.934 0.0 0.00
2019-10-22 03:00 34.0 53.3 18.8 0.6 169 2.5 169 24.934 0.0 0.00
2019-10-22 02:55 34.4 53.8 19.4 0.0 109 0.0 109 24.934 0.0 0.00
2019-10-22 02:50 35.6 50.0 18.7 0.0 109 0.0 199 24.939 0.0 0.00
2019-10-22 02:45 36.7 47.1 18.4 0.0 199 0.0 199 24.943 0.0 0.00
2019-10-22 02:40 37.4 46.5 18.7 0.0 199 0.0 209 24.944 0.0 0.00
2019-10-22 02:35 36.6 47.9 18.7 1.3 216 3.5 227 24.947 0.0 0.00
2019-10-22 02:30 36.7 46.2 17.9 1.8 262 3.5 283 24.951 0.0 0.00
2019-10-22 02:25 37.4 45.6 18.3 4.0 265 5.7 267 24.954 0.0 0.00
2019-10-22 02:20 39.1 42.6 18.3 5.6 272 7.2 292 24.954 0.0 0.00
2019-10-22 02:15 39.5 41.9 18.3 6.2 313 7.6 290 24.954 0.0 0.00
2019-10-22 02:10 40.0 41.1 18.3 6.2 305 8.8 292 24.953 0.0 0.00
2019-10-22 02:05 40.3 40.2 18.0 5.8 270 8.3 289 24.956 0.0 0.00
2019-10-22 02:00 40.6 40.4 18.4 7.9 290 11.0 278 24.956 0.0 0.00
2019-10-22 01:55 40.9 39.4 18.1 10.5 272 14.2 275 24.956 0.0 0.00
2019-10-22 01:50 39.9 40.8 18.0 9.3 282 12.7 259 24.959 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Modeling Systems Research


Much of the Regional to Global-scale Modeling work done at CIRA is performed by approximately 20 CIRA researchers who are integrated into various collaborative research activities within the Global Systems Division (GSD) at the NOAA Earth System Research Laboratory (ESRL) in Boulder. They conduct research and development to provide NOAA and the nation with observing, prediction, computer, and information systems that deliver environmental products ranging from local to global predictions of short-range, high impact weather and air quality events to longer-term intra-seasonal climate forecasts.

 

CIRA researchers and scientists, in partnership with GSD, Global Monitoring Division (GMD), and Physical Sciences Division (PSD) scientists, conceive, design, and test the forecast impact of meteorological observing systems, with an emphasis on integrated observing systems employing a large range of measurement systems. They develop modeling and assimilation techniques and information systems to improve the short-range weather forecasting necessary for severe weather watches and warnings, heavy precipitation events, water management, air quality forecasting, and fire weather prediction. They develop the global Earth system modeling and assimilation techniques needed for global chemical transport and regional climate simulations.

 

Together with our partners at the NOAA ESRL, CIRA scientists and researchers investigate high-performance computer architectures to handle the enormous computational demands of environmental models and develop environmental information systems to support commerce, transportation, emergency management, and other societal needs. They support NOAA in high-performance computing through new computing technology and improved software engineering practices while investigating advanced computer architecture to handle the enormous computational demands of environmental models.

 

In other research, our scientists use models to improve the representation of clouds and land surface processes and to investigate the response of regional hydrology to global climate change. These impact studies help facilitate the development and enhancement of models for both operational forecasting and research applications. They help create tools that allow scientists to obtain more information from observations and simulated observations and conduct weather analysis, numerical forecasting, and ensemble forecasting.