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Christman Field Latest Observations
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Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2023-03-25 16:20 33.1 25.0 1.1 17.3 313 24.1 303 24.671 120.8 0.00
2023-03-25 16:15 33.3 25.9 2.0 22.0 306 30.9 307 24.667 134.6 0.00
2023-03-25 16:10 33.6 22.7 -0.6 19.2 300 23.8 283 24.666 169.5 0.00
2023-03-25 16:05 33.8 23.1 -0.1 23.7 286 29.5 299 24.664 214.2 0.00
2023-03-25 16:00 34.0 24.5 1.4 22.8 290 33.3 275 24.663 252.5 0.00
2023-03-25 15:55 34.1 23.9 0.9 21.1 293 27.3 287 24.662 233.4 0.00
2023-03-25 15:50 34.1 24.3 1.3 22.2 288 34.8 290 24.659 242.0 0.00
2023-03-25 15:45 34.0 25.1 1.9 20.0 282 29.4 295 24.657 232.6 0.00
2023-03-25 15:40 33.9 26.4 2.9 20.4 300 25.7 290 24.655 177.1 0.00
2023-03-25 15:35 34.0 25.7 2.4 18.6 286 23.7 287 24.654 174.3 0.00
2023-03-25 15:30 34.1 24.5 1.5 21.7 292 30.1 300 24.651 183.4 0.00
2023-03-25 15:25 34.5 24.9 2.2 20.9 290 27.2 278 24.648 217.6 0.00
2023-03-25 15:20 35.1 25.1 2.8 19.2 298 27.0 284 24.647 295.5 0.00
2023-03-25 15:15 35.0 27.1 4.5 16.6 285 22.7 271 24.645 364.3 0.00
2023-03-25 15:10 34.7 23.5 1.1 20.1 291 24.6 269 24.644 346.9 0.00
2023-03-25 15:05 34.5 25.8 2.9 22.8 279 31.2 285 24.642 210.2 0.00
2023-03-25 15:00 34.9 23.2 0.9 22.7 295 29.1 286 24.640 217.2 0.00
2023-03-25 14:55 35.7 25.8 3.9 23.0 288 29.9 286 24.639 308.7 0.00
2023-03-25 14:50 36.2 24.3 3.1 20.2 287 29.1 280 24.637 484.9 0.00
2023-03-25 14:45 36.7 21.5 0.9 16.1 295 23.0 295 24.638 604.4 0.00
2023-03-25 14:40 36.2 23.9 2.7 19.5 264 24.7 271 24.637 607.5 0.00
2023-03-25 14:35 35.9 21.6 0.3 21.5 270 26.9 273 24.638 600.5 0.00
2023-03-25 14:30 35.8 23.8 2.3 23.2 273 30.2 268 24.636 608.1 0.00
2023-03-25 14:25 35.9 22.5 1.2 16.3 275 24.4 278 24.635 489.1 0.00
2023-03-25 14:20 35.4 22.5 0.8 19.1 286 28.3 280 24.634 423.8 0.00
2023-03-25 14:15 35.6 23.4 1.8 19.2 296 24.8 280 24.633 387.3 0.00
2023-03-25 14:10 35.5 27.0 4.8 16.0 253 24.7 272 24.633 464.3 0.00
2023-03-25 14:05 35.7 23.8 2.2 21.0 286 30.4 273 24.631 484.5 0.00
2023-03-25 14:00 35.6 22.1 0.6 20.2 279 26.7 279 24.631 541.0 0.00
2023-03-25 13:55 36.1 25.5 4.1 20.9 275 28.1 268 24.631 519.7 0.00
Date Time
MST
Temp
°C
RH
%
DewPt
°C
Wind
m/s
Dir
°
Gust
m/s
Dir
°
Press
hPa
Solar
W/m^2
Prec
mm
2023-03-25 16:20 0.6 25.0 -17.2 7.8 313 10.8 303 835.44 120.8 0.00
2023-03-25 16:15 0.7 25.9 -16.7 9.8 306 13.8 307 835.33 134.6 0.00
2023-03-25 16:10 0.9 22.7 -18.1 8.6 300 10.6 283 835.28 169.5 0.00
2023-03-25 16:05 1.0 23.1 -17.8 10.6 286 13.2 299 835.21 214.2 0.00
2023-03-25 16:00 1.1 24.5 -17.0 10.2 290 14.9 275 835.19 252.5 0.00
2023-03-25 15:55 1.1 23.9 -17.3 9.4 293 12.2 287 835.14 233.4 0.00
2023-03-25 15:50 1.2 24.3 -17.0 9.9 288 15.6 290 835.05 242.0 0.00
2023-03-25 15:45 1.1 25.1 -16.7 8.9 282 13.1 295 834.98 232.6 0.00
2023-03-25 15:40 1.1 26.4 -16.1 9.1 300 11.5 290 834.93 177.1 0.00
2023-03-25 15:35 1.1 25.7 -16.4 8.3 286 10.6 287 834.87 174.3 0.00
2023-03-25 15:30 1.2 24.5 -17.0 9.7 292 13.4 300 834.76 183.4 0.00
2023-03-25 15:25 1.4 24.9 -16.5 9.3 290 12.2 278 834.68 217.6 0.00
2023-03-25 15:20 1.7 25.1 -16.2 8.6 298 12.1 284 834.63 295.5 0.00
2023-03-25 15:15 1.7 27.1 -15.3 7.4 285 10.1 271 834.58 364.3 0.00
2023-03-25 15:10 1.5 23.5 -17.2 9.0 291 11.0 269 834.53 346.9 0.00
2023-03-25 15:05 1.4 25.8 -16.1 10.2 279 14.0 285 834.46 210.2 0.00
2023-03-25 15:00 1.6 23.2 -17.3 10.2 295 13.0 286 834.41 217.2 0.00
2023-03-25 14:55 2.0 25.8 -15.6 10.3 288 13.3 286 834.37 308.7 0.00
2023-03-25 14:50 2.3 24.3 -16.0 9.0 287 13.0 280 834.32 484.9 0.00
2023-03-25 14:45 2.6 21.5 -17.3 7.2 295 10.3 295 834.33 604.4 0.00
2023-03-25 14:40 2.3 23.9 -16.3 8.7 264 11.1 271 834.31 607.5 0.00
2023-03-25 14:35 2.1 21.6 -17.6 9.6 270 12.0 273 834.33 600.5 0.00
2023-03-25 14:30 2.1 23.8 -16.5 10.4 273 13.5 268 834.28 608.1 0.00
2023-03-25 14:25 2.2 22.5 -17.1 7.3 275 10.9 278 834.24 489.1 0.00
2023-03-25 14:20 1.9 22.5 -17.3 8.5 286 12.7 280 834.20 423.8 0.00
2023-03-25 14:15 2.0 23.4 -16.8 8.6 296 11.1 280 834.16 387.3 0.00
2023-03-25 14:10 1.9 27.0 -15.1 7.2 253 11.1 272 834.15 464.3 0.00
2023-03-25 14:05 2.1 23.8 -16.5 9.4 286 13.6 273 834.09 484.5 0.00
2023-03-25 14:00 2.0 22.1 -17.5 9.0 279 11.9 279 834.09 541.0 0.00
2023-03-25 13:55 2.3 25.5 -15.5 9.4 275 12.6 268 834.09 519.7 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

CIRA ML home

Explore the topics below to learn more about CIRA's ML activities.


ML Overview

  • CIRA’s ML philosophy, key expertise, core activities and educational resources

 

ML4Clouds

  • ML related to inferring cloud properties


 

ML4TC

  • Machine Learning for Tropical Cyclones

ML4DNB

  • Machine Learning related to the VIIRS Day Night Band


 

ML4DA

  • Machine Learning for Data Assimilation

ML4RT

  • Machine Learning for Radiative Transfer


 

AI Institute

  • CIRA’s role in the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)

News and Announcements


AMS Annual meeting – Jan 2022 – 21st Conference on Artificial Intelligence for Environmental Science (AMS AI):

CIRA is involved in many sessions.  Follow this link to find many of them in the AMS program.

Recent papers:

  • Haynes, J.M., Noh, Y.J., Miller, S.D., Haynes, K.D., Ebert-Uphoff, I. and Heidinger, A., Low Cloud Detection in Multilayer Scenes using Satellite Imagery with Machine Learning Methods, Journal of Atmospheric and Oceanic Technology, early online release Dec 15, 2021, https://doi.org/10.1175/JTECH-D-21-0084.1.
  • Lagerquist, R., Turner, D., Ebert-Uphoff, I., Stewart, J. and Hagerty, V., Using Deep Learning to Emulate and Accelerate a Radiative Transfer Model. Journal of Atmospheric and Oceanic Technology, 38(10), pp.1673-1696, Oct 2021, https://doi.org/10.1175/MWR-D-21-0096.1.
  • Lagerquist, R., Stewart, J.Q., Ebert-Uphoff, I. and Kumler, C., Using Deep Learning to Nowcast the Spatial Coverage of Convection from Himawari-8 Satellite DataMonthly Weather Review149(12), pp.3897-3921, Oct 2021, https://doi.org/10.1175/JTECH-D-21-0007.1.

Recent Preprints:

  • McGovern, A., Ebert-Uphoff, I., Gagne II, D.J. and Bostrom, A., 2021. The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. arXiv preprint, Dec 2021, https://arxiv.org/pdf/2112.08453.pdf.
  • Ebert-Uphoff, I., Lagerquist, R., Hilburn, K., Lee, Y., Haynes, K., Stock, J., Kumler, C. and Stewart, J.Q., 2021, CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences–Version 1. https://arxiv.org/abs/2106.09757