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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
2022-12-09 02:35 19.3 73.9 12.4 6.0 249 6.8 247 24.924 0.2 0.00
2022-12-09 02:30 19.3 70.7 11.4 6.0 255 7.1 250 24.924 0.1 0.00
2022-12-09 02:25 18.5 73.0 11.3 5.8 255 6.5 246 24.924 0.2 0.00
2022-12-09 02:20 18.5 70.6 10.6 3.5 239 5.1 239 24.923 0.1 0.00
2022-12-09 02:15 19.9 69.2 11.4 3.0 244 3.5 242 24.923 0.1 0.00
2022-12-09 02:10 20.1 67.8 11.2 3.2 252 5.1 296 24.925 0.2 0.00
2022-12-09 02:05 19.3 68.0 10.5 4.1 298 5.9 315 24.926 0.1 0.00
2022-12-09 02:00 19.8 63.3 9.3 2.8 314 3.2 285 24.927 0.1 0.00
2022-12-09 01:55 20.1 68.4 11.3 1.9 286 3.1 289 24.929 0.2 0.00
2022-12-09 01:50 21.0 65.8 11.4 1.7 287 2.1 279 24.933 0.2 0.00
2022-12-09 01:45 20.9 65.5 11.2 1.7 260 2.3 259 24.930 0.2 0.00
2022-12-09 01:40 20.4 66.8 11.1 1.5 246 2.3 227 24.933 0.1 0.00
2022-12-09 01:35 20.6 66.2 11.1 0.4 250 1.8 250 24.934 0.2 0.00
2022-12-09 01:30 20.1 67.5 11.0 1.0 355 1.9 349 24.932 0.2 0.00
2022-12-09 01:25 20.4 65.8 10.7 1.8 349 2.4 49 24.928 0.2 0.00
2022-12-09 01:20 20.2 66.0 10.7 2.9 69 3.3 78 24.931 0.2 0.00
2022-12-09 01:15 20.2 67.5 11.2 3.2 61 4.4 70 24.930 0.1 0.00
2022-12-09 01:10 22.1 63.0 11.4 2.2 62 2.8 61 24.927 0.1 0.00
2022-12-09 01:05 22.2 63.0 11.5 2.0 179 2.8 183 24.920 0.2 0.00
2022-12-09 01:00 22.7 61.9 11.6 2.6 192 4.2 193 24.915 0.2 0.00
2022-12-09 00:55 22.2 64.1 11.9 3.3 187 4.3 195 24.915 0.2 0.00
2022-12-09 00:50 21.2 67.2 12.0 2.2 204 3.2 204 24.917 0.2 0.00
2022-12-09 00:45 20.3 67.6 11.3 0.8 230 2.2 235 24.919 0.2 0.00
2022-12-09 00:40 18.2 69.7 10.0 1.6 234 3.0 222 24.926 0.2 0.00
2022-12-09 00:35 17.0 70.9 9.2 2.2 199 4.0 188 24.928 0.2 0.00
2022-12-09 00:30 18.4 68.4 9.7 3.0 254 4.4 297 24.925 0.2 0.00
2022-12-09 00:25 21.3 64.0 11.0 2.2 294 3.1 256 24.925 0.2 0.00
2022-12-09 00:20 24.3 56.9 11.2 1.6 190 2.3 199 24.927 0.2 0.00
2022-12-09 00:15 24.1 54.6 10.1 2.2 187 4.3 174 24.930 0.2 0.00
2022-12-09 00:10 23.3 57.8 10.6 3.6 178 5.0 183 24.935 0.2 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
2022-12-09 02:35 -7.0 73.9 -10.9 2.7 249 3.1 247 844.02 0.2 0.00
2022-12-09 02:30 -7.0 70.7 -11.5 2.7 255 3.2 250 844.02 0.1 0.00
2022-12-09 02:25 -7.5 73.0 -11.5 2.6 255 2.9 246 844.03 0.2 0.00
2022-12-09 02:20 -7.5 70.6 -11.9 1.5 239 2.3 239 844.00 0.1 0.00
2022-12-09 02:15 -6.7 69.2 -11.5 1.3 244 1.6 242 844.00 0.1 0.00
2022-12-09 02:10 -6.6 67.8 -11.5 1.4 252 2.3 296 844.04 0.2 0.00
2022-12-09 02:05 -7.1 68.0 -12.0 1.8 298 2.6 315 844.11 0.1 0.00
2022-12-09 02:00 -6.8 63.3 -12.6 1.2 314 1.4 285 844.13 0.1 0.00
2022-12-09 01:55 -6.6 68.4 -11.5 0.8 286 1.4 289 844.20 0.2 0.00
2022-12-09 01:50 -6.1 65.8 -11.4 0.7 287 0.9 279 844.33 0.2 0.00
2022-12-09 01:45 -6.1 65.5 -11.6 0.8 260 1.0 259 844.22 0.2 0.00
2022-12-09 01:40 -6.4 66.8 -11.6 0.7 246 1.0 227 844.32 0.1 0.00
2022-12-09 01:35 -6.4 66.2 -11.6 0.2 250 0.8 250 844.35 0.2 0.00
2022-12-09 01:30 -6.6 67.5 -11.6 0.5 355 0.9 349 844.30 0.2 0.00
2022-12-09 01:25 -6.5 65.8 -11.8 0.8 349 1.1 49 844.17 0.2 0.00
2022-12-09 01:20 -6.5 66.0 -11.8 1.3 69 1.5 78 844.25 0.2 0.00
2022-12-09 01:15 -6.6 67.5 -11.6 1.4 61 2.0 70 844.24 0.1 0.00
2022-12-09 01:10 -5.5 63.0 -11.4 1.0 62 1.3 61 844.11 0.1 0.00
2022-12-09 01:05 -5.5 63.0 -11.4 0.9 179 1.3 183 843.88 0.2 0.00
2022-12-09 01:00 -5.2 61.9 -11.4 1.2 192 1.9 193 843.73 0.2 0.00
2022-12-09 00:55 -5.4 64.1 -11.2 1.5 187 1.9 195 843.71 0.2 0.00
2022-12-09 00:50 -6.0 67.2 -11.1 1.0 204 1.4 204 843.78 0.2 0.00
2022-12-09 00:45 -6.5 67.6 -11.5 0.3 230 1.0 235 843.85 0.2 0.00
2022-12-09 00:40 -7.6 69.7 -12.2 0.7 234 1.3 222 844.08 0.2 0.00
2022-12-09 00:35 -8.3 70.9 -12.7 1.0 199 1.8 188 844.16 0.2 0.00
2022-12-09 00:30 -7.5 68.4 -12.4 1.3 254 2.0 297 844.05 0.2 0.00
2022-12-09 00:25 -6.0 64.0 -11.7 1.0 294 1.4 256 844.06 0.2 0.00
2022-12-09 00:20 -4.3 56.9 -11.6 0.7 190 1.0 199 844.11 0.2 0.00
2022-12-09 00:15 -4.4 54.6 -12.2 1.0 187 1.9 174 844.23 0.2 0.00
2022-12-09 00:10 -4.8 57.8 -11.9 1.6 178 2.2 183 844.38 0.2 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Ryan Lagerquist

Ryan Lagerquist


Job Title:

Research Scientist I: Atmospheric Scientist for Machine-learning Applications

Email Address:

About Me:


I’m currently a Post-doctoral Fellow with CIRA and NOAA GSL (Global Systems Laboratory), focusing on machine-learning applications to atmospheric science.  My current projects involve using ML to [1] accelerate the radiative-transfer parameterizations in numerical weather/climate models and [2] improve short-term forecasting of convective initiation/decay from satellite data.  My broader research interests span all scales of meteorology (from nowcasting to climate), deep learning, interpretable ML, and physics-guided ML.  I am also passionate about building interdisciplinary collaborations/understanding, teaching, and mentoring.  I have taught ML tutorials at several atmospheric-science conferences and workshops and am always glad to teach more!

Professional background: I have been working at the nexus of ML and atmospheric science for over 8 years with organizations including Environment Canada, the University of Alberta, University of Oklahoma, Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), Google, and the National Center for Atmospheric Research (NCAR).  I earned my B.Sc. Honours in Atmospheric Science in 2014 from the University of Alberta, M.Sc. in Meteorology in 2016 from the University of Oklahoma, and Ph.D. in Meteorology from the University of Oklahoma in 2020.

 

You can find my Master’s thesis here: http://www.mcgovern-fagg.org/idea/pubs/lagerquist_thesis_2016.pdf

Dissertation here: https://shareok.org/handle/11244/324145

And papers at the following locations:

Automated prediction of extreme fire weather from synoptic patterns in northern Alberta, Canada

Machine learning for real-time prediction of damaging straight-line convective wind

Making the black box more transparent: Understanding the physical implications of machine learning (first author: Amy McGovern)

Deep learning for spatially explicit prediction of synoptic-scale fronts

Climatology and variability of warm and cold fronts over North America from 1979 to 2018

Deep Learning on Three-dimensional Multiscale Data for Next-hour Tornado Prediction