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
2019-07-20 15:05 70.3 73.0 61.3 9.0 294 10.7 286 24.946 106.5 0.00
2019-07-20 15:00 70.1 76.1 62.2 6.1 287 9.7 287 24.951 72.5 0.00
2019-07-20 14:55 70.7 74.8 62.3 5.6 325 7.1 330 24.953 47.9 0.00
2019-07-20 14:50 71.4 69.5 60.9 3.8 325 6.5 25 24.954 32.1 0.00
2019-07-20 14:45 71.9 66.6 60.2 6.6 30 8.2 352 24.951 26.9 0.00
2019-07-20 14:40 72.1 65.0 59.7 6.7 350 7.8 350 24.955 19.1 0.00
2019-07-20 14:35 72.5 64.1 59.6 5.8 327 6.8 316 24.958 15.4 0.00
2019-07-20 14:30 72.7 62.9 59.4 5.0 301 6.7 299 24.959 13.8 0.00
2019-07-20 14:25 72.9 61.2 58.8 5.4 319 7.1 333 24.955 13.4 0.00
2019-07-20 14:20 73.3 60.9 59.0 6.1 337 8.5 324 24.947 13.3 0.00
2019-07-20 14:15 73.6 59.7 58.7 8.0 329 10.4 331 24.947 9.6 0.00
2019-07-20 14:10 73.8 58.8 58.5 8.1 319 10.4 320 24.949 7.9 0.00
2019-07-20 14:05 73.8 59.1 58.7 7.3 307 9.9 307 24.946 11.7 0.00
2019-07-20 14:00 74.2 59.0 58.9 8.7 327 11.1 336 24.933 27.6 0.00
2019-07-20 13:55 74.6 59.0 59.4 9.6 347 12.2 15 24.926 39.0 0.00
2019-07-20 13:50 74.8 57.9 59.0 9.5 10 12.6 19 24.928 47.0 0.00
2019-07-20 13:45 75.0 57.9 59.2 6.4 42 10.1 37 24.931 46.9 0.00
2019-07-20 13:40 75.2 57.2 59.0 8.8 33 14.9 25 24.931 45.4 0.00
2019-07-20 13:35 75.5 57.4 59.4 7.8 43 11.2 38 24.926 51.5 0.00
2019-07-20 13:30 75.8 57.0 59.5 9.4 24 13.1 28 24.926 64.0 0.00
2019-07-20 13:25 76.6 56.1 59.8 11.1 27 17.2 53 24.923 89.0 0.00
2019-07-20 13:20 77.7 55.7 60.6 11.9 35 17.6 29 24.922 128.6 0.00
2019-07-20 13:15 78.7 53.4 60.3 12.3 44 16.6 29 24.923 173.1 0.00
2019-07-20 13:10 80.4 50.0 60.0 11.9 25 17.2 34 24.920 225.4 0.00
2019-07-20 13:05 81.5 47.6 59.7 9.9 48 13.8 18 24.917 509.3 0.00
2019-07-20 13:00 82.9 45.7 59.8 13.0 27 16.0 22 24.918 575.5 0.00
2019-07-20 12:55 84.2 42.4 58.9 12.9 17 17.5 13 24.919 1014.0 0.00
2019-07-20 12:50 83.2 42.6 58.1 8.8 72 12.0 19 24.922 1082.0 0.00
2019-07-20 12:45 81.4 44.2 57.6 7.2 26 10.7 34 24.924 649.8 0.00
2019-07-20 12:40 80.3 45.6 57.4 7.6 42 12.1 29 24.924 248.4 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

Partain, Phil

Phil Partain

Job Title:
Senior Research Associate
CIRA Teams:
Phone Number:

970-491-7835

Fax Number:

970-491-8809

Mailing Addresss:
Philip Partain

Cooperative Institute for Research in the Atmosphere

Colorado State University

1375 Campus Delivery

Fort Collins, CO 80523-1375
Office Location:
ACRC 05
About Me:

Phil helped design, develop, and implement the CloudSat data processing system.  Currently, he manages the Data Processing Center and works with the CloudSat Science Team to develop new data products.  He holds a BS in Atmospheric Science from UCLA (1994) and a MS in Atmospheric Science from Colorado State University (1998).  He obtained a project management certificate from PMI and Colorado State University in 2007.  His work on the CloudSat project has been recognized with several awards:

  • NASA Exceptional Public Service Medal for exceptional contributions to the CloudSat mission in the design and implementation of the Level 2 software infrastructure for the CloudSat Data Processing System, July 2008.
  • NASA Public Service Group Achievement Award for exemplary performance in the development and implementation of the CloudSat Standard Data Product algorithms, July 2008.
  • NASA Public Service Group Achievement Award for exceptional contributions to the CloudSat mission in the design, development, and implementation of the CloudSat Data Processing System, June 2007.
  • Recognition of Excellence from the NASA CloudSat Project for developing the Algorithm Interface Management System, November 2001.

    Publications

    GHOST: A Satellite Mission Concept for Persistent Monitoring of Stratospheric Gravity Waves Induced by Severe Storms

    Published Date: 2018
    Published By: American Meteorological Society

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    Cloud-Base Height Estimation from VIIRS. Part II: A Statistical Algorithm Based on A-Train Satellite Data

    Published Date: 2017
    Published By: Journal of Atmospheric and Oceanic Technology

    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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