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CIRA
Cooperative Institute for Research in the Atmosphere
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    • Colorado Teams:
      • NOAA/Earth System Research Lab (ESRL) – Boulder, CO
      • Air Quality – Fort Collins, CO
      • Atmospheric Science (ATS) – Fort Collins, CO
      • Carbon – Fort Collins, CO
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      • Independent – Fort Collins, CO
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      • Training – Fort Collins, CO
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    • Other Location Teams:
      • National Hurricane Center – Miami, FL
      • NESDIS Environmental Applications Team (NEAT) – College Park, MD
      • NWS/Meteorological Development Laboratory (MDL) – Silver Spring, MD
      • NWS/Aviation Weather Center (AWC) – Kansas City, MO
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Search CIRA Website x
Colorado State University
  • Home
  • Welcome & About
    • About CIRA
      • Jobs
      • Letter from Christian Kummerow:
      • Map & Directions
      • Organizational Structure
      • Reports
      • Room Schedules
      • Staff Directory
      • Strategic Plan
      • Vision & Mission Statement
    • Themes
      • Climate and Weather Processes
      • Competitive Projects
      • Data Assimilation
      • Data Distributions
      • Education and Outreach
      • Modeling Systems Research
      • NOAA Projects
      • Satellite Algorithm Development, Training and Education
      • Societal and Economic Impact Studies
    • Collaborative Groups
      • Colorado Climate Center
      • National Park Service
      • Regional and Mesoscale Meteorology Branch
  • Teams
    • Colorado Teams:
      • NOAA/Earth System Research Lab (ESRL) – Boulder, CO
      • Air Quality – Fort Collins, CO
      • Atmospheric Science (ATS) – Fort Collins, CO
      • Carbon – Fort Collins, CO
      • CIRA Software Engineering Group (CSEG) – Fort Collins, CO
      • Data Assimilation (DA) – Fort Collins, CO
      • Data Processing Centers (DPC) – Fort Collins, CO
      • Independent – Fort Collins, CO
      • MetSat – Fort Collins, CO
      • Regional and Mesoscale Meteorology Branch (RAMMB) – Fort Collins, CO
      • Training – Fort Collins, CO
      • Tropical Cyclone – Fort Collins, CO
    • Other Location Teams:
      • National Hurricane Center – Miami, FL
      • NESDIS Environmental Applications Team (NEAT) – College Park, MD
      • NWS/Meteorological Development Laboratory (MDL) – Silver Spring, MD
      • NWS/Aviation Weather Center (AWC) – Kansas City, MO
      • Office of Marine and Aviation Operations (OMAO-Training) – Kansas City, MO
  • News & Events
    • News
      • CIRA Administration News
      • Magazines
      • Reports
    • Events
      • Conferences
      • Seminars
  • Research & Publications
  • Imagery & Data
    • Imagery
      • Air Quality Research
        • Improve
        • VIEWS
      • CIRA Algorithm Testbed
      • CIRA Weather Station
      • RAMMB SLIDER
    • Data
      • CloudSat Data Processing Center
      • ECMWF Nature Run
      • RAMSDIS
        • GOES-West / GOES-East
        • GOES-R Proving Ground Real-time Products
        • Tropical Imagery
        • Suomi NPP VIIRS Imagery
  • Contact Us
    • Connect with us
      • Jobs
      • Map & Directions
      • Facebook
      • Twitter
      • LinkedIn
    • Staff Directory
      • Boulder
      • College Park
      • Fort Collins
      • Kansas City
      • Miami
      • Silver Spring
  • Search
  • Staff
Search CIRA Website x
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
2021-02-23 09:15 41.4 36.4 16.7 3.4 211 6.4 192 0.000 132.3 0.00
2021-02-23 09:10 41.4 39.9 18.8 4.8 78 8.4 72 0.000 135.9 0.00
2021-02-23 09:05 40.9 39.2 18.0 6.3 132 8.9 175 0.000 133.9 0.00
2021-02-23 09:00 41.1 46.1 22.0 3.8 241 7.4 251 0.000 129.1 0.00
2021-02-23 08:55 40.6 39.1 17.7 3.5 213 5.7 233 0.000 127.3 0.00
2021-02-23 08:50 40.3 41.5 18.7 6.5 234 10.0 255 0.000 127.3 0.00
2021-02-23 08:45 40.5 45.2 21.0 3.9 252 6.1 281 0.000 127.4 0.00
2021-02-23 08:40 40.9 40.3 18.6 3.6 188 8.0 178 0.000 127.2 0.00
2021-02-23 08:35 39.5 38.9 16.5 3.2 214 6.1 187 0.000 126.6 0.00
2021-02-23 08:30 38.7 44.3 18.8 4.0 212 5.5 191 0.000 126.5 0.00
2021-02-23 08:25 38.4 47.5 20.1 4.0 193 5.9 193 0.000 125.0 0.00
2021-02-23 08:20 38.4 43.7 18.2 4.5 182 5.8 136 0.000 118.2 0.00
2021-02-23 08:15 38.1 43.5 17.9 5.2 138 6.6 142 0.000 111.2 0.00
2021-02-23 08:10 38.1 45.4 18.8 4.6 144 6.2 168 0.000 104.1 0.00
2021-02-23 08:05 37.5 45.6 18.4 5.4 149 7.2 142 0.000 97.3 0.00
2021-02-23 08:00 36.6 47.4 18.5 6.5 169 7.8 185 0.000 92.2 0.00
2021-02-23 07:55 36.0 48.5 18.5 5.9 199 7.4 199 0.000 86.3 0.00
2021-02-23 07:50 36.2 49.6 19.2 4.0 206 5.6 202 0.000 77.8 0.00
2021-02-23 07:45 36.7 46.2 18.0 3.2 160 4.0 120 0.000 69.1 0.00
2021-02-23 07:40 36.7 46.1 17.9 3.2 129 3.9 130 0.000 61.0 0.00
2021-02-23 07:35 36.9 46.8 18.4 5.0 144 6.8 158 0.000 53.6 0.00
2021-02-23 07:30 37.4 45.3 18.1 4.8 146 6.1 146 0.000 46.9 0.00
2021-02-23 07:25 35.9 46.0 17.1 2.4 117 5.4 113 0.000 40.4 0.00
2021-02-23 07:20 35.6 50.0 18.8 4.0 284 5.6 275 0.000 34.2 0.00
2021-02-23 07:15 36.5 48.6 18.9 3.2 272 6.2 151 0.000 27.8 0.00
2021-02-23 07:10 36.3 48.1 18.5 7.4 145 10.0 160 0.000 21.5 0.00
2021-02-23 07:05 36.6 45.0 17.3 8.6 137 10.0 129 0.000 16.0 0.00
2021-02-23 07:00 36.8 46.1 18.0 6.7 128 9.0 134 0.000 11.1 0.00
2021-02-23 06:55 35.7 47.0 17.5 4.7 160 6.1 181 0.000 7.3 0.00
2021-02-23 06:50 35.3 49.3 18.2 5.9 191 7.1 189 0.000 5.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Seminars


    Use of mixture-model track clustering to interpret tropical cyclone ensemble forecasts

    October 31, 2019 10:00 am

    CIRA Director’s Conference Room

    Presented by: Alex Kowaleski
    Hosted by: Dr. Kate Musgrave, CIRA
    Penn State University

    Ensemble forecasts of tropical cyclones provide a wealth of data for operational forecasters and researchers, but fully utilizing the data remains a challenge. Regression mixture-model clustering is demonstrated as a method to partition tropical cyclone ensemble forecasts into a small number of groups based on track. Clustering facilitates the exploration of storm evolution and hazards… Read more »

    Satellite radiance data assimilation within the NOAA hourly Rapid Refresh and High-Resolution Rapid Refresh

    September 25, 2019 10:30 am

    CIRA Director’s Conference Room

    Presented by: Dr. Haidao Lin
    Hosted by:
    CIRA/CSU and NOAA/ESRL/GSD

    Satellite radiance data have been shown to have consistent positive impact with statistical significance within the NOAA Rapid Refresh (RAP) hourly updated model system.  RAP version 4 (RAPv4) was implemented operationally at the National Centers for Environmental Prediction (NCEP) in July 2018.  This implementation included a significant radiance upgrade package with greater use of direct… Read more »

    Improving Quantitative Precipitation Estimation in Complex Terrain over the San Francisco Bay Area Using Profiler and Gap-filling Radar Observations

    September 19, 2019 9:30 am

    CIRA Director’s Conference Room

    Presented by: Dr. Haonan Chen
    Hosted by:
    Radar, Satellite, and Precipitation Research Scientist with CIRA and Physical Sciences Division of NOAA Earth System Research Laboratory

    The San Francisco Bay Area is covered by two operational S-band WSR-88D: KMUX and KDAX. However, the KDAX radar beams are partially blocked at low elevation angles due to the mountainous terrain, whereas the KMUX radar is deployed at an elevation of over 1000 m, which can easily overshoot precipitation during the winter storm seasons… Read more »

    Part 2: Preliminary Analysis of Wind Gusts in Recent Landfalling Hurricanes

    August 19, 2019 3:00 pm

    CIRA Director’s Conference Room

    Presented by: John Kaplan
    Hosted by:
    NOAA/AOML/Hurricane Research Division

    Forecasting the timing and magnitude of tropical cyclone rapid intensification (RI) remains an ongoing forecasting problem.  Although the ability of deterministic tropical cyclone intensity models to forecast such events has improved, their skill remains inadequate. Thus, forecasters have relied on other tools such as the SHIPS suite of probabilistic statistical rapid intensity models to aid… Read more »

    Part 1: Statistical Rapid Intensity Prediction: A Review of Recent Model Results

    August 19, 2019 3:00 pm

    CIRA Director’s Conference Room

    Presented by: John Kaplan
    Hosted by:
    NOAA/AOML/Hurricane Research Division

    Forecasting the timing and magnitude of tropical cyclone rapid intensification (RI) remains an ongoing forecasting problem.  Although the ability of deterministic tropical cyclone intensity models to forecast such events has improved, their skill remains inadequate. Thus, forecasters have relied on other tools such as the SHIPS suite of probabilistic statistical rapid intensity models to aid… Read more »

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Cooperative Institute for Research in the Atmosphere
Colorado State University
3925A West Laporte Ave.
Fort Collins, CO 80521

Phone: 970.491.8448
Fax: 970.491.8241

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