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Christman Field Latest Observations
Select Units
Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2022-05-22 19:05 53.3 47.1 33.7 13.0 308 16.0 298 24.916 1.8 0.00
2022-05-22 19:00 53.4 47.1 33.7 12.0 292 15.6 303 24.918 1.9 0.00
2022-05-22 18:55 53.6 47.1 33.9 12.1 303 15.3 303 24.917 2.8 0.00
2022-05-22 18:50 53.6 46.3 33.5 11.8 299 17.7 327 24.915 3.9 0.00
2022-05-22 18:45 53.5 48.9 34.7 4.9 327 11.0 336 24.914 6.5 0.00
2022-05-22 18:40 53.5 48.2 34.5 3.8 319 4.3 327 24.912 9.4 0.00
2022-05-22 18:35 53.6 47.9 34.3 4.7 317 5.4 305 24.912 10.5 0.00
2022-05-22 18:30 53.8 47.5 34.3 5.1 306 5.5 304 24.914 10.1 0.00
2022-05-22 18:25 54.3 46.0 34.0 4.0 299 5.2 313 24.910 13.9 0.00
2022-05-22 18:20 54.7 45.1 33.9 3.0 299 4.1 295 24.906 21.8 0.00
2022-05-22 18:15 55.0 45.1 34.1 3.4 306 4.0 311 24.902 33.6 0.00
2022-05-22 18:10 55.3 45.1 34.3 4.6 307 5.9 308 24.902 46.9 0.00
2022-05-22 18:05 55.5 42.6 33.2 5.3 308 6.1 292 24.904 51.1 0.00
2022-05-22 18:00 55.6 42.4 33.1 5.7 292 6.4 287 24.905 63.7 0.00
2022-05-22 17:55 56.0 41.1 32.7 4.9 279 6.1 285 24.903 59.2 0.00
2022-05-22 17:50 57.0 39.4 32.6 2.6 294 4.6 294 24.901 59.5 0.00
2022-05-22 17:45 58.1 34.9 30.5 2.1 276 3.1 282 24.900 74.7 0.00
2022-05-22 17:40 58.6 35.3 31.3 0.3 242 1.1 263 24.898 136.6 0.00
2022-05-22 17:35 58.3 34.0 30.1 0.2 56 1.1 132 24.898 143.3 0.00
2022-05-22 17:30 58.8 34.6 31.0 1.2 92 3.6 59 24.897 156.8 0.00
2022-05-22 17:25 58.3 33.7 29.8 2.5 219 4.4 208 24.898 231.8 0.00
2022-05-22 17:20 58.0 36.5 31.5 4.1 216 5.8 207 24.899 168.3 0.00
2022-05-22 17:15 58.9 33.8 30.4 3.6 182 7.0 187 24.899 293.4 0.00
2022-05-22 17:10 59.3 34.4 31.3 3.5 216 5.9 109 24.901 294.5 0.00
2022-05-22 17:05 59.9 32.2 30.1 1.8 101 4.2 111 24.901 315.3 0.00
2022-05-22 17:00 58.9 34.2 30.7 1.7 228 3.4 225 24.901 356.3 0.00
2022-05-22 16:55 57.6 36.3 31.1 2.4 241 5.7 142 24.900 275.1 0.00
2022-05-22 16:50 58.2 36.6 31.7 3.0 166 6.3 158 24.900 237.4 0.00
2022-05-22 16:45 58.3 34.7 30.5 4.0 148 7.1 156 24.901 322.3 0.00
2022-05-22 16:40 58.5 33.0 29.4 4.4 163 7.1 151 24.898 357.3 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
2022-05-22 19:05 11.9 47.1 0.9 5.8 308 7.2 298 843.76 1.8 0.00
2022-05-22 19:00 11.9 47.1 1.0 5.3 292 7.0 303 843.82 1.9 0.00
2022-05-22 18:55 12.0 47.1 1.1 5.4 303 6.9 303 843.79 2.8 0.00
2022-05-22 18:50 12.0 46.3 0.8 5.3 299 7.9 327 843.72 3.9 0.00
2022-05-22 18:45 11.9 48.9 1.5 2.2 327 4.9 336 843.68 6.5 0.00
2022-05-22 18:40 12.0 48.2 1.4 1.7 319 1.9 327 843.61 9.4 0.00
2022-05-22 18:35 12.0 47.9 1.3 2.1 317 2.4 305 843.63 10.5 0.00
2022-05-22 18:30 12.1 47.5 1.3 2.3 306 2.5 304 843.67 10.1 0.00
2022-05-22 18:25 12.4 46.0 1.1 1.8 299 2.3 313 843.53 13.9 0.00
2022-05-22 18:20 12.6 45.1 1.0 1.3 299 1.8 295 843.42 21.8 0.00
2022-05-22 18:15 12.8 45.1 1.2 1.5 306 1.8 311 843.29 33.6 0.00
2022-05-22 18:10 12.9 45.1 1.3 2.0 307 2.6 308 843.29 46.9 0.00
2022-05-22 18:05 13.1 42.6 0.7 2.4 308 2.7 292 843.33 51.1 0.00
2022-05-22 18:00 13.1 42.4 0.6 2.5 292 2.9 287 843.38 63.7 0.00
2022-05-22 17:55 13.3 41.1 0.4 2.2 279 2.7 285 843.32 59.2 0.00
2022-05-22 17:50 13.9 39.4 0.3 1.2 294 2.1 294 843.26 59.5 0.00
2022-05-22 17:45 14.5 34.9 -0.8 0.9 276 1.4 282 843.20 74.7 0.00
2022-05-22 17:40 14.8 35.3 -0.4 0.1 242 0.5 263 843.15 136.6 0.00
2022-05-22 17:35 14.6 34.0 -1.1 0.1 56 0.5 132 843.13 143.3 0.00
2022-05-22 17:30 14.9 34.6 -0.6 0.5 92 1.6 59 843.12 156.8 0.00
2022-05-22 17:25 14.6 33.7 -1.2 1.1 219 2.0 208 843.15 231.8 0.00
2022-05-22 17:20 14.5 36.5 -0.3 1.8 216 2.6 207 843.18 168.3 0.00
2022-05-22 17:15 14.9 33.8 -0.9 1.6 182 3.1 187 843.19 293.4 0.00
2022-05-22 17:10 15.2 34.4 -0.4 1.6 216 2.6 109 843.24 294.5 0.00
2022-05-22 17:05 15.5 32.2 -1.0 0.8 101 1.9 111 843.23 315.3 0.00
2022-05-22 17:00 14.9 34.2 -0.7 0.8 228 1.5 225 843.23 356.3 0.00
2022-05-22 16:55 14.2 36.3 -0.5 1.1 241 2.5 142 843.22 275.1 0.00
2022-05-22 16:50 14.5 36.6 -0.1 1.3 166 2.8 158 843.23 237.4 0.00
2022-05-22 16:45 14.6 34.7 -0.8 1.8 148 3.2 156 843.24 322.3 0.00
2022-05-22 16:40 14.7 33.0 -1.4 2.0 163 3.2 151 843.14 357.3 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