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 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
2020-06-02 05:50 67.7 39.2 42.1 10.1 318 11.1 305 24.910 153.8 0.00
2020-06-02 05:45 67.0 36.1 39.3 10.2 318 11.4 314 24.909 147.1 0.00
2020-06-02 05:40 66.4 39.4 41.0 11.3 327 12.7 312 24.909 109.3 0.00
2020-06-02 05:35 65.5 37.5 38.9 11.6 312 12.8 320 24.908 91.1 0.00
2020-06-02 05:30 65.1 40.5 40.6 11.6 316 12.9 319 24.906 61.2 0.00
2020-06-02 05:25 65.0 41.2 40.9 12.0 319 13.1 313 24.904 55.4 0.00
2020-06-02 05:20 63.7 40.1 39.0 12.6 315 14.2 321 24.901 55.1 0.00
2020-06-02 05:15 63.5 43.1 40.7 8.4 319 11.2 319 24.900 43.6 0.00
2020-06-02 05:10 61.8 39.8 37.1 7.5 308 11.0 319 24.898 35.6 0.00
2020-06-02 05:05 61.0 46.0 40.1 7.2 304 8.7 289 24.896 24.1 0.00
2020-06-02 05:00 60.9 45.1 39.5 6.8 313 8.5 293 24.895 23.6 0.00
2020-06-02 04:55 60.5 45.6 39.4 6.6 325 8.0 348 24.895 18.0 0.00
2020-06-02 04:50 59.9 46.0 39.1 6.2 343 7.8 351 24.895 11.9 0.00
2020-06-02 04:45 60.7 49.3 41.6 6.6 305 8.9 7 24.892 7.0 0.00
2020-06-02 04:40 62.2 45.2 40.7 7.1 6 10.4 354 24.889 3.8 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Fassnacht, Steven

Steven Fassnacht

CIRA Fellow


Job Title:
Professor, Colorado State University
About Me:

Research Interests:

Prof. Fassnacht’s research interests include improving our understanding of snow and cold land hydrological processes, especially considering different complexities of models. These models are used for water resources forecasting, hydrological simulations, and climate modelling. My focuses are improving the data used for modelling and understanding the sensitivity of process formulations. We have tried to improve weather radar estimation of snowfall for hydrological modelling.  We have created a time series of snow water equivalent maps for the Western United States that together with fractional snow covered area data have been assimilated into a hydrological model.  We have examined how wind influences precipitation measurements (as snow) compared to snowpack losses via sublimation and blowing snow.

 

Hydrological and meteorological data exist at various spatial and temporal scales that can influence our analysis.  Use of specific data can tell us a specific story that may not be relevant in the bigger picture. For example, a series of large snow storms in January of 1999 created havoc for transportation in Southern Ontario and early indications were that severe flooding was likely. However, due to several preceeding dry years and a dry spring, the lowest peak flows on record were observed. 

 

We have examined the scales for snow depth sampling using fractal analysis, looked at averaging and sub-setting of large datasets, and investigated the interannual consistency of snowpack distribution patterns.  Together with Nolan Doesken at the Colorado Climate Center, we have examined the measurement of snow depth using Ultra Sonic Snow Depth Sensors.   

Recent work on snow crystals has translated into investigating snow surface roughness. We have developed a method to use digital photography to analysis snow surface roughness and have compared different evaluation metrics.  We have shown how the snowpack surface roughness changes over time, has directionality, scales over space, and is influenced by dust on snow.