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
2020-06-02 08:20 84.3 19.9 38.9 5.0 314 6.9 304 24.936 840.0 0.00
2020-06-02 08:15 82.6 20.9 38.6 5.1 332 7.4 349 24.936 918.0 0.00
2020-06-02 08:10 80.3 26.4 42.7 3.6 354 5.6 336 24.939 639.4 0.00
2020-06-02 08:05 79.4 28.8 44.2 3.6 4 5.8 8 24.939 426.1 0.00
2020-06-02 08:00 79.7 28.7 44.4 4.8 29 5.7 19 24.938 329.5 0.00
2020-06-02 07:55 80.5 25.1 41.5 6.7 28 8.2 352 24.938 391.0 0.00
2020-06-02 07:50 80.2 24.0 40.1 7.9 341 9.8 355 24.938 425.3 0.00
2020-06-02 07:45 80.9 24.0 40.8 8.4 348 12.9 0 24.938 495.2 0.00
2020-06-02 07:40 80.2 21.8 37.8 6.5 3 12.7 3 24.936 574.8 0.00
2020-06-02 07:35 79.6 27.1 42.8 6.7 26 9.6 23 24.935 527.2 0.00
2020-06-02 07:30 79.1 27.7 43.0 7.4 41 11.0 353 24.935 511.1 0.00
2020-06-02 07:25 78.1 28.9 43.3 8.2 352 10.2 349 24.934 485.2 0.00
2020-06-02 07:20 77.1 27.6 41.1 8.2 0 10.3 43 24.934 453.6 0.00
2020-06-02 07:15 76.5 32.7 45.1 9.1 42 12.0 52 24.933 478.6 0.00
2020-06-02 07:10 77.3 31.8 45.0 6.2 58 9.4 48 24.929 466.7 0.00
2020-06-02 07:05 77.7 32.4 45.9 5.7 11 7.8 327 24.926 404.7 0.00
2020-06-02 07:00 77.1 32.0 45.0 6.7 329 9.3 318 24.925 390.8 0.00
2020-06-02 06:55 75.5 27.9 40.0 8.9 322 12.5 298 24.922 364.2 0.00
2020-06-02 06:50 70.7 29.8 37.6 9.3 299 12.5 308 24.920 313.8 0.00
2020-06-02 06:45 69.5 37.0 42.1 7.6 315 9.5 294 24.920 95.0 0.00
2020-06-02 06:40 71.0 34.3 41.4 7.9 295 11.8 296 24.918 74.0 0.00
2020-06-02 06:35 71.5 28.1 36.8 10.8 304 12.8 305 24.916 71.3 0.00
2020-06-02 06:30 71.8 28.0 37.0 10.9 289 13.6 296 24.914 65.1 0.00
2020-06-02 06:25 72.2 27.5 36.8 12.8 302 14.8 306 24.912 65.0 0.00
2020-06-02 06:20 72.8 27.7 37.5 12.6 299 15.2 300 24.912 70.2 0.00
2020-06-02 06:15 73.7 28.4 39.0 13.1 298 18.7 297 24.912 176.2 0.00
2020-06-02 06:10 70.8 32.4 39.8 11.2 296 13.8 290 24.913 230.8 0.00
2020-06-02 06:05 69.7 38.6 43.4 9.9 308 12.1 310 24.912 181.7 0.00
2020-06-02 06:00 69.2 36.0 41.1 10.7 311 12.1 305 24.912 155.1 0.00
2020-06-02 05:55 68.3 36.4 40.6 11.0 310 12.6 315 24.911 154.7 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Ebert-Uphoff, Imme

Imme Ebert-Uphoff


Job Title:
Machine Learning Lead
Office Location:
ACRC 207
About Me:

I joined CIRA in July 2019 to support its use of machine learning (ML) techniques. I am at CIRA half-time, and am a research faculty member in Electrical and Computer Engineering at Colorado State U. during my remaining time.

I work on selected high priority CIRA projects, while also providing general ML support for other CIRA projects, as well as teaching ML skills through introductory and advanced lessons for CIRA folks.

My key interests for CIRA activities include

  1. physics-guided machine learning, i.e. methods for merging science knowledge into machine learning algorithms for better generalization and robustness;
  2. leveraging visualization and attribution techniques for neural networks to gain more understanding of their internal reasoning for weather/climate applications;
  3. utilizing self-supervised learning to make the most out of large data sets with few labels; and
  4. building strong collaborations with colleagues in academia working on related topics.

I am NOT a computer scientist by training, but a mathematician/engineer who has used machine learning for several years for applications in climate science, in close collaboration with climate scientists. So don’t expect me to know everything on the spot about every single machine learning method out there, but do expect me to have a solid understanding of how to apply machine learning methods specifically to physical systems, and to stay informed of new methods that could be useful for this purpose.

I received the equivalent of B.S. and M.S. degrees in mathematics from the University of Karlsruhe, Germany (known these days as KIT), and M.S. and Ph.D. degrees in Mechanical Engineering from the Johns Hopkins University in Baltimore, MD.  I serve on the steering committee of the annual Climate Informatics (CI) workshop series and of the NSF-funded research coordination network on Intelligent Systems for the Geosciences (IS-GEO).

The best way to get in touch with me is to send email to iebert@colostate.edu.

Past Work

Publications