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Cooperative Institute for Research in the Atmosphere
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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 Online
        • GOES-West / GOES-East
        • Synthetic Forecast Imagery
        • 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
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  • 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
2021-04-22 19:20 44.6 68.4 34.8 1.9 71 3.8 109 0.000 0.0 0.00
2021-04-22 19:15 45.2 66.4 34.7 2.3 109 3.4 124 0.000 0.1 0.00
2021-04-22 19:10 45.3 65.7 34.5 3.1 119 4.1 130 0.000 0.2 0.00
2021-04-22 19:05 45.4 66.0 34.7 2.1 137 3.5 137 0.000 0.5 0.00
2021-04-22 19:00 45.5 64.8 34.4 2.5 162 3.9 161 0.000 1.1 0.00
2021-04-22 18:55 45.9 65.2 34.9 4.0 160 5.3 146 0.000 2.3 0.00
2021-04-22 18:50 46.1 63.7 34.5 3.7 131 4.6 152 0.000 3.7 0.00
2021-04-22 18:45 46.0 63.2 34.2 3.8 158 6.0 178 0.000 5.6 0.00
2021-04-22 18:40 46.2 64.6 34.9 4.2 162 5.4 179 0.000 7.9 0.00
2021-04-22 18:35 46.7 64.2 35.2 5.8 169 7.7 170 0.000 11.0 0.00
2021-04-22 18:30 47.0 62.7 34.9 5.7 168 7.6 163 0.000 14.2 0.00
2021-04-22 18:25 47.3 62.5 35.1 5.6 163 8.8 166 0.000 17.3 0.00
2021-04-22 18:20 47.4 61.6 34.9 7.1 153 9.5 153 0.000 22.8 0.00
2021-04-22 18:15 47.6 62.2 35.3 6.6 151 9.2 158 0.000 30.1 0.00
2021-04-22 18:10 47.9 61.2 35.1 7.3 154 10.5 151 0.000 41.1 0.00
2021-04-22 18:05 48.0 59.5 34.6 5.8 137 8.5 152 0.000 56.0 0.00
2021-04-22 18:00 48.0 59.7 34.6 7.0 140 10.7 148 0.000 79.1 0.00
2021-04-22 17:55 47.9 58.9 34.2 8.2 134 11.6 148 0.000 63.4 0.00
2021-04-22 17:50 48.2 59.4 34.7 9.3 145 13.5 171 0.000 56.8 0.00
2021-04-22 17:45 48.7 58.9 34.9 10.4 163 13.9 165 0.000 59.1 0.00
2021-04-22 17:40 49.2 58.8 35.4 10.0 166 16.0 170 0.000 98.9 0.00
2021-04-22 17:35 49.3 58.3 35.3 9.3 159 13.9 189 0.000 159.1 0.00
2021-04-22 17:30 49.4 59.1 35.7 13.1 180 18.3 152 0.000 125.8 0.00
2021-04-22 17:25 50.1 57.3 35.6 10.7 163 15.0 158 0.000 185.4 0.00
2021-04-22 17:20 50.6 57.1 36.0 10.2 142 15.6 153 0.000 240.9 0.00
2021-04-22 17:15 50.7 55.1 35.2 10.4 164 14.8 157 0.000 252.5 0.00
2021-04-22 17:10 50.9 55.3 35.5 10.4 148 16.4 148 0.000 228.9 0.00
2021-04-22 17:05 50.5 55.2 35.1 11.0 170 17.0 154 0.000 267.4 0.00
2021-04-22 17:00 50.6 57.6 36.2 11.9 147 16.2 153 0.000 137.6 0.00
2021-04-22 16:55 51.1 56.5 36.2 12.2 150 16.7 148 0.000 318.4 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Improved Tropical-Cyclone Flight-Level Wind Estimates Using Routine Infrared Satellite Reconnaissance


A new and improved method for estimating tropical-cyclone (TC) flight-level winds using globally and routinely available TC information and infrared (IR) satellite imagery is presented. The developmental dataset is composed of aircraft reconnaissance (1995–2012) that has been analyzed to a 1 km × 10° polar grid that extends outward 165 km from the TC center. The additional use of an azimuthally average tangential wind at 500 km, based on global model analyses, allows the estimation of winds at larger radii. Analyses are rotated to a direction-relative framework, normalized by dividing the wind field by the observed maximum, and then decomposed into azimuthal wavenumbers in terms of amplitudes and phases. Using a single-field principal component method, the amplitudes and phases of the wind field are then statistically related to principal components of motion-relative IR images and factors related to the climatological radius of maximum winds. The IR principal components allow the wind field to be related to the radial and azimuthal variability of the wind field. Results show that this method, when provided with the storm location, the estimated TC intensity, the TC motion vector, and a single IR image, is able to estimate the azimuthal wavenumber 0 and 1 components of the wind field. The resulting wind field reconstruction significantly improves on the method currently used for satellite-based operational TC wind field estimates. This application has several potential uses that are discussed within.

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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