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 04:30 31.8 63.0 20.6 4.5 196 5.3 193 24.910 0.0 0.00
2019-10-22 04:25 32.1 63.8 21.2 4.7 196 5.6 188 24.914 0.0 0.00
2019-10-22 04:20 31.6 63.6 20.7 4.0 174 5.6 166 24.913 0.0 0.00
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
CIRA

Cooperative Institute for Research in the Atmosphere

Data Assimilation (DA)


About the team


The future state of a dynamical model depends on control parameters such as initial conditions, model errors, empirical parameters of the model, and boundary conditions. Insufficient knowledge of any of the former can lead to prediction uncertainty, which implies a probabilistic nature of the problem. The chaotic nature of nonlinear dynamical systems in weather and climate, and in geosciences in general, confirms the fundamentally probabilistic character of dynamical systems. Information about the dynamical state and its uncertainty is collected from observations. Blending the information from observations with information from dynamical models requires a coordinated effort in several areas of Physics and Mathematics: Probability Theory, Estimation Theory, Control Theory, Nonlinear Dynamics, and Chaos/Information Theory. Since we are primarily interested in geosciences applications to high-dimensional dynamical systems, the computational component of the problem is also of great importance to our robejectives. Our research is encompassing all the formerly mentioned disciplines with the goal of developing a general methodology for uncertainty estimation of dynamical systems.

 

Visit our website