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
2019-11-12 06:00 9.8 88.6 7.2 0.7 166 3.2 166 24.991 0.0 0.00
2019-11-12 05:55 10.1 89.3 7.6 0.3 240 1.7 333 24.992 0.0 0.00
2019-11-12 05:50 11.6 86.3 8.3 0.7 352 2.1 352 24.993 0.0 0.00
2019-11-12 05:45 13.2 88.8 10.5 0.5 352 1.5 352 24.994 0.0 0.00
2019-11-12 05:40 13.0 92.0 11.1 0.5 352 1.6 351 24.995 0.0 0.00
2019-11-12 05:35 11.9 92.8 10.2 1.1 351 2.5 352 24.995 0.0 0.00
2019-11-12 05:30 9.8 91.6 7.9 3.1 352 4.5 340 24.996 0.0 0.00
2019-11-12 05:25 8.8 89.4 6.3 3.2 340 3.8 348 24.996 0.0 0.00
2019-11-12 05:20 11.5 84.2 7.6 3.2 5 4.2 5 24.999 0.0 0.00
2019-11-12 05:15 12.1 92.6 10.3 0.3 323 2.1 322 24.999 0.0 0.00
2019-11-12 05:10 10.8 93.8 9.4 0.2 236 1.8 236 25.002 0.0 0.00
2019-11-12 05:05 10.5 93.0 8.9 0.5 290 1.1 290 25.006 0.0 0.00
2019-11-12 05:00 9.2 91.8 7.3 1.2 290 2.0 290 25.012 0.0 0.00
2019-11-12 04:55 8.9 90.4 6.6 2.2 290 4.6 296 25.015 0.0 0.00
2019-11-12 04:50 8.2 92.4 6.5 1.3 295 4.9 299 25.017 0.0 0.00
2019-11-12 04:45 6.3 89.2 3.8 0.5 168 1.7 168 25.020 0.0 0.00
2019-11-12 04:40 7.5 87.4 4.5 1.1 168 2.0 168 25.021 0.0 0.00
2019-11-12 04:35 8.1 88.4 5.3 1.9 105 3.5 25 25.023 0.0 0.00
2019-11-12 04:30 9.4 87.4 6.4 1.2 25 3.0 25 25.024 0.0 0.00
2019-11-12 04:25 10.2 91.8 8.3 0.7 171 1.6 171 25.021 0.0 0.00
2019-11-12 04:20 9.2 90.9 7.1 0.5 171 1.6 171 25.023 0.0 0.00
2019-11-12 04:15 9.3 90.9 7.2 1.2 170 3.4 170 25.032 0.0 0.00
2019-11-12 04:10 7.8 92.7 6.1 1.3 231 3.2 231 25.037 0.0 0.00
2019-11-12 04:05 7.2 88.6 4.6 1.2 231 3.2 231 25.040 0.0 0.00
2019-11-12 04:00 7.9 91.1 5.8 0.4 22 1.5 22 25.032 0.0 0.00
2019-11-12 03:55 7.9 90.0 5.5 1.5 22 2.1 22 25.032 0.0 0.00
2019-11-12 03:50 8.9 89.2 6.4 1.9 22 2.7 22 25.036 0.0 0.00
2019-11-12 03:45 9.4 91.5 7.4 1.4 357 3.1 357 25.048 0.0 0.00
2019-11-12 03:40 9.8 92.4 8.0 0.0 339 0.0 339 25.052 0.0 0.00
2019-11-12 03:35 8.9 92.5 7.1 0.6 339 1.5 340 25.056 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Dr. John M. Haynes

Job Title:
Research Scientist/Scholar II
CIRA Teams:
Phone Number:

970-491-8535

Fax Number:

970-491-8241

Mailing Addresss:
Cooperative Institute for Research in the Atmosphere

Colorado State University

1375 Campus Delivery

Fort Collins, CO 80523 USA
Office Location:
ACRC 103
About Me:

  • PhD and MS in Atmospheric Science, Colorado State University
  • BS in Meteorology, Pennylvania State University

Past Work

Clouds and precipitating systems.

Wednesday, March 12, 2014
Clouds and precipitating systems; their organization and radiative impacts
  • Improving our understanding of global precipitation processes; development of the CloudSat precipitation retrieval (2C-PRECIP-COLUMN)
  • Cloud and precipitation remote sensing; millimeter wavelength radar and lidar systems (the spaceborne CloudSat and CALIPSO platforms)

       Model evaluation

  • Evaluation and improvement of numerical forecast model representations of clouds and precipitation; development of a radar forward model software package to simulate radar reflectivity profiles at microwave frequencies
       Atmospheric energetics
  • Available potential energy and derivation of its generation/dissipation from satellite measurements
 
    Publications

    New GOES-R Risk Reduction Activities at CIRA

    Published Date: 2017
    Published By: Conference

    The Newly Operational VIIRS Cloud Cover/Layers and Base

    Published Date: 2017
    Published By: Conference

    Improving Cloud Layer Boundaries from GOES-16

    Published Date: 2018
    Published By: Conference

    Short-term solar irradiance forecasting via satellite/model coupling

    Published Date: 2018
    Published By: Science Direct

    Estimating Three-Dimensional Cloud Structure via Statistically Blended Satellite Observations

    Published Date: 2014
    Published By: American Meteorological Society

    The launch of the NASA CloudSat in April 2006 enabled the first satellite-based global observation of vertically resolved cloud information. However, CloudSat’s nonscanning W-band (94 GHz) Cloud Profiling Radar (CPR) provides only a nadir cross section, or “curtain,” of the atmosphere along the satellite ground track, precluding a full three-dimensional (3D) characterization and thus limiting its utility for certain model verification and cloud-process studies. This paper details an algorithm for extending a limited set of vertically resolved cloud observations to form regional 3D cloud structure. Predicated on the assumption that clouds of the same type (e.g., cirrus, cumulus, and stratocumulus) often share geometric and microphysical properties as well, the algorithm identifies cloud-type-dependent correlations and uses them to estimate cloud-base height and liquid/ice water content vertical structure. These estimates, when combined with conventional retrievals of cloud-top height, result in a 3D structure for the topmost cloud layer. The technique was developed on multiyear CloudSat data and applied to Moderate Resolution Imaging Spectroradiometer (MODIS) swath data from the NASA Aquasatellite. Data-exclusion experiments along the CloudSat ground track show improved predictive skill over both climatology and type-independent nearest-neighbor estimates. More important, the statistical methods, which employ a dynamic range-dependent weighting scheme, were also found to outperform type-dependent near-neighbor estimates. Application to the 3D cloud rendering of a tropical cyclone is demonstrated.


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