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
2019-03-25 21:20 42.5 46.5 23.4 5.3 156 7.4 147 25.016 0.0 0.00
2019-03-25 21:15 42.4 46.7 23.5 5.8 143 7.8 159 25.016 0.0 0.00
2019-03-25 21:10 42.7 46.3 23.6 6.2 143 8.8 160 25.016 0.0 0.00
2019-03-25 21:05 43.0 44.2 22.7 7.0 157 9.6 160 25.016 0.0 0.00
2019-03-25 21:00 43.2 42.8 22.0 6.8 169 8.1 163 25.015 0.0 0.00
2019-03-25 20:55 43.4 41.4 21.4 7.8 150 9.8 156 25.015 0.0 0.00
2019-03-25 20:50 43.6 39.7 20.6 7.1 157 10.0 173 25.013 0.0 0.00
2019-03-25 20:45 43.9 38.2 20.0 8.4 168 10.2 171 25.012 0.0 0.00
2019-03-25 20:40 44.0 37.3 19.6 6.9 166 9.9 172 25.012 0.0 0.00
2019-03-25 20:35 43.7 38.5 20.1 7.4 160 10.5 156 25.010 0.0 0.00
2019-03-25 20:30 43.6 39.1 20.3 5.4 146 7.1 140 25.010 0.0 0.00
2019-03-25 20:25 44.2 37.5 19.9 6.1 130 7.7 148 25.008 0.0 0.00
2019-03-25 20:20 44.6 35.6 19.0 5.1 146 6.0 146 25.005 0.0 0.00
2019-03-25 20:15 44.7 34.8 18.6 6.1 136 8.9 137 25.003 0.0 0.00
2019-03-25 20:10 44.8 34.1 18.2 6.6 140 10.4 166 25.001 0.0 0.00
2019-03-25 20:05 45.4 33.5 18.3 7.1 143 9.0 160 24.997 0.0 0.00
2019-03-25 20:00 45.5 32.0 17.3 6.6 146 8.6 154 24.996 0.0 0.00
2019-03-25 19:55 45.5 31.8 17.2 5.9 149 7.9 155 24.992 0.0 0.00
2019-03-25 19:50 46.2 31.7 17.7 6.0 146 8.8 151 24.992 0.0 0.00
2019-03-25 19:45 46.3 30.6 17.0 5.0 155 7.5 158 24.987 0.0 0.00
2019-03-25 19:40 46.4 30.2 16.8 5.7 175 7.5 178 24.983 0.0 0.00
2019-03-25 19:35 46.5 29.5 16.4 5.1 180 6.5 183 24.980 0.0 0.00
2019-03-25 19:30 46.5 29.8 16.6 5.7 175 8.1 158 24.978 0.0 0.00
2019-03-25 19:25 47.0 29.6 16.9 5.9 164 7.6 165 24.978 0.0 0.00
2019-03-25 19:20 47.6 28.3 16.4 6.0 162 9.3 155 24.988 0.0 0.00
2019-03-25 19:15 48.1 28.0 16.5 6.9 164 10.4 166 24.998 0.0 0.00
2019-03-25 19:10 48.2 26.9 15.7 7.8 164 10.9 148 25.001 0.0 0.00
2019-03-25 19:05 48.6 26.8 15.9 6.4 160 8.2 171 25.001 0.1 0.00
2019-03-25 19:00 48.8 26.1 15.5 5.5 152 7.7 181 25.000 0.1 0.00
2019-03-25 18:55 49.1 25.5 15.2 6.7 164 9.0 170 24.998 0.1 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.

 

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