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 03:45 25.8 92.0 23.8 4.0 345 4.7 348 24.981 0.1 0.00
2019-12-06 03:40 26.7 91.2 24.4 4.4 345 5.3 346 24.981 0.1 0.00
2019-12-06 03:35 27.6 91.7 25.5 4.4 340 5.2 344 24.981 0.1 0.00
2019-12-06 03:30 27.5 93.0 25.8 5.0 346 5.6 355 24.983 0.1 0.00
2019-12-06 03:25 27.5 93.4 25.9 4.9 349 5.5 342 24.984 0.1 0.00
2019-12-06 03:20 27.0 94.1 25.5 5.0 349 5.5 340 24.981 0.1 0.00
2019-12-06 03:15 26.7 94.2 25.2 4.6 342 5.7 342 24.979 0.0 0.00
2019-12-06 03:10 27.1 93.7 25.5 6.0 357 7.9 336 24.981 0.0 0.00
2019-12-06 03:05 26.8 96.2 25.9 7.4 337 8.8 327 24.981 0.0 0.00
2019-12-06 03:00 26.0 96.8 25.2 8.2 327 9.4 323 24.982 0.1 0.00
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
CIRA

Cooperative Institute for Research in the Atmosphere

Data Assimilation (DA)


Team Members


Team Publications


  • Quantification of optimal choices of parameters in lognormal variational data assimilation and their chaotic behavior

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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