Colorado State University
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 08:10 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
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
CIRA

Cooperative Institute for Research in the Atmosphere

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Yoo-Jeong Noh


Job Title:
Research Scientist/Scholar III
Phone Number:

970-491-8907

Fax Number:

970-491-8241

Mailing Addresss:
Yoo-Jeong Noh

Cooperative Institute for Research in the Atmosphere

Colorado State University

1375 Campus Delivery

Fort Collins, CO 80523-1375
Office Location:
CIRA Room 13
About Me:

Yoo-Jeong Noh received her BSc in Atmospheric Science from Yonsei University and MS in Environmental Engineering (Environmental heat transfer/fluid mechanics) from Pohang University of Science and Technology. She had professional experiences on precipitation analysis using TRMM and surface observations, and numerical modeling (WRF and MM5) while working at the Meteorological Research Institute/Korea Meteorological Administration and the Global Environment Laboratory/Yonsei University in Korea. After receiving her PhD degree in Meteorology from Florida State University in 2006, she joined CIRA and continues to work on satellite cloud/precipitation measurements as a Research Scientist following her two year postdoc research. Her areas of research interest include developing cloud/precipitation algorithms using active/passive satellite data and in-situ observations, radiative transfer modeling, and studies on mixed-phase clouds.

Past Work

Past Work

Wednesday, March 12, 2014
GOES-R proxy radiance data study: Generate GOES-R ABI synthetic imagery using CIRA radiative transfer model and CRTM from WRF simulations.
 
JPSS VIIRS CAL/VAL: Validate VIIRS cloud base height products with CloudSat for various cloud types and produce matchup data.
 
Detection of supercooled liquid water-topped mixed phase clouds from multispectral satellite observations.
 
In situ aircraft measurements of midlatitude mixed-phase clouds.
 
Multi-satellite observations of boundary layer clouds over the Arctic Ocean.
 
A snowfall retrieval algorithm development based on Bayes’ theorem using high frequency microwave satellite data.