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
2019-06-15 20:00 62.0 60.9 48.4 2.6 105 3.5 98 24.883 0.2 0.00
2019-06-15 19:55 62.3 60.1 48.3 5.0 83 7.1 98 24.882 0.4 0.00
2019-06-15 19:50 62.1 62.3 49.1 2.9 106 5.2 108 24.877 1.3 0.00
2019-06-15 19:45 61.6 62.3 48.6 2.1 125 3.2 125 24.876 6.1 0.00
2019-06-15 19:40 62.1 63.2 49.4 0.1 90 0.7 90 24.873 10.5 0.00
2019-06-15 19:35 62.6 61.5 49.2 0.0 90 0.0 78 24.870 13.1 0.00
2019-06-15 19:30 62.4 59.7 48.2 1.6 78 2.6 78 24.868 18.1 0.00
2019-06-15 19:25 63.2 60.0 49.1 0.2 245 0.8 245 24.868 23.7 0.00
2019-06-15 19:20 63.4 57.4 48.1 1.9 245 2.8 245 24.869 27.2 0.00
2019-06-15 19:15 63.6 57.5 48.4 1.8 225 3.3 241 24.867 36.7 0.00
2019-06-15 19:10 64.0 58.4 49.1 1.6 290 4.0 312 24.864 49.8 0.00
2019-06-15 19:05 64.4 57.9 49.2 5.2 329 7.3 341 24.862 86.4 0.00
2019-06-15 19:00 64.4 54.3 47.6 8.7 336 11.4 341 24.861 84.3 0.00
2019-06-15 18:55 65.1 54.3 48.2 10.9 332 13.7 344 24.865 87.4 0.00
2019-06-15 18:50 65.0 52.1 47.0 11.0 313 14.0 296 24.868 90.2 0.00
2019-06-15 18:45 64.8 52.2 46.9 12.7 286 16.1 312 24.867 54.5 0.00
2019-06-15 18:40 64.9 53.8 47.8 8.3 310 12.3 306 24.865 54.9 0.00
2019-06-15 18:35 65.3 54.6 48.5 8.8 318 12.3 351 24.861 57.1 0.00
2019-06-15 18:30 65.7 52.4 47.8 9.4 344 13.1 352 24.858 80.1 0.00
2019-06-15 18:25 65.9 51.3 47.5 13.4 351 18.8 3 24.858 79.1 0.00
2019-06-15 18:20 66.4 51.4 47.9 9.9 0 13.3 15 24.856 64.6 0.00
2019-06-15 18:15 67.2 48.8 47.3 14.6 348 21.2 351 24.854 64.7 0.00
2019-06-15 18:10 68.0 46.2 46.6 15.1 7 21.1 21 24.852 71.1 0.00
2019-06-15 18:05 68.5 45.3 46.5 15.6 26 22.7 16 24.852 73.5 0.00
2019-06-15 18:00 69.7 43.9 46.8 19.6 25 26.5 3 24.850 78.7 0.00
2019-06-15 17:55 71.8 44.5 49.1 12.9 16 20.8 354 24.845 72.5 0.00
2019-06-15 17:50 73.3 39.9 47.5 15.4 32 21.1 30 24.839 89.3 0.00
2019-06-15 17:45 74.8 36.5 46.5 8.4 30 10.9 49 24.834 139.4 0.00
2019-06-15 17:40 75.4 33.5 44.7 6.4 55 8.4 42 24.829 214.0 0.00
2019-06-15 17:35 75.4 33.7 44.9 5.8 37 8.0 66 24.828 220.6 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