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 07:50 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
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
CIRA

Cooperative Institute for Research in the Atmosphere

Ting-Chi Wu


Job Title:
Research Scientist/Scholar II
Phone Number:

970-491-8287

Fax Number:

970-491-8241

Mailing Addresss:
Ting-Chi Wu
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins, CO 80523-1375
Office Location:
CIRA Room 114
About Me:

Ting-Chi received her BSc and MS in Atmospheric Science in 2007 and 2009 from National Central University in Taiwan. She continued her education at University of Miami in Florida earning a Ph.D in Meteorology and Physical Oceanography in 2014. Her areas of research interest include

  • data assimilation including ensemble, variational, and hybrid techniques
  • numerical weather prediction and microphysics process
  • develop novel techniques for data assimilation and¬†tropical cyclone predictions

Ting-Chi joined CIRA in Fort Collins in September 2014. As a member of the CIRA Data Assimilation Group, she works on the development and application of a data assimilation system (Gridpoint Statistic Interpolation – GSI) for assimilation of precipitation and moisture observations from several satellite instruments using NOAA Hurricane WRF (HWRF) system. Her recent research activities focus on preparing GSI to assimilate all-sky satellite radiances within the HWRF system.

Past Work

Assimilate TRMM/GPM Hydrometeor Retrievals in HWRF

Wednesday, June 22, 2016

Hurricane forecasting skills may be improved by utilizing increased precipitation observations available from the Global Precipitation Mission (GPM). This study adds to the GSI capability to assimilate satellite retrieved hydrometeor profile data in the operational HWRF system. The newly developed Hurricane GPROF algorithm produces TRMM/GPM hydrometeor retrievals specifically for hurricanes. Two new observation operators are developed and implemented in GSI to assimilate Hurricane GPROF retrieved hydrometeors in HWRF. They are based on the assumption that all water vapor in excess of saturation with respect to ice or liquid is immediately condensed out. Two sets of single observation experiments that include assimilation of solid or liquid hydrometeor from Hurricane GPROF are performed. Results suggest that assimilating single retrieved solid or liquid hydrometeor information impacts the current set of control variables of GSI by adjusting the environment that includes temperature, pressure, and moisture fields toward saturation with respect to ice or liquid. These results are explained in a physically consistent manner, implying satisfactory observation operators and meaningful structure of background error covariance employed by GSI. Applying to two real hurricane cases, Leslie (2012) and Gonzalo (2014), the assimilation of the Hurricane GPROF data in the innermost domain of HWRF shows a physically reasonable adjustment and an improvement of the analysis compared to observations. However, the impact of assimilating the Hurricane GPROF retrieved hydrometeors on the subsequent HWRF forecasts, measured by hurricane tracks, intensities, sizes, satellite retrieved rain rates, and corresponding IR images, is inconclusive. More details can be found in Wu et al. (2016).

Wu, T.-C., M. Zupanski, L. D. Grasso, P. J. Brown, C. D. Kummerow, and J. A. Knaff, 2016: The GSI Capability to Assimilate TRMM and GPM Hydrometeor Retrievals in HWRF. Q. J. R. Meteorol. Soc., Accepted Author Manuscript, doi:10.1002/qj.2867. Available at: http://onlinelibrary.wiley.com/doi/10.1002/qj.2867/abstract