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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
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CIRA

Cooperative Institute for Research in the Atmosphere

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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 in Northern California. As a result, these two radars are not sufficient to observe low-level atmospheric conditions and provide detailed precipitation information for quantitative hydrometeorological applications. This study aims to improve operational radar rainfall estimates using auxiliary remote sensing observations. In particular, a number of S-band profilers are deployed to investigate the vertical structure of precipitation at various locations in this complex terrain. The representative vertical profiles of reflectivity (VPR) measured by the profilers, which can better characterize the rainfall microphysical structure during its falling processes, are incorporated in WSR-88D radar data processing and the derivation of improved rainfall products. In addition, NOAA and CIRA are building an Advanced Quantitative Precipitation Information (AQPI) system to improve monitoring and forecasting of precipitation and coastal flooding in the San Francisco Bay Area. As part of the AQPI program, high-frequency (i.e., X-band) high-resolution gap-filling radars are being deployed to improve tracking of incoming storms and provide high-resolution coverage over populated and flood-prone urban areas throughout the Bay region. To date, two X-band radars have been deployed and collected a substantial set of precipitation measurements that contribute to the development of local radar rainfall algorithms. This talk will discuss the applications of vertical-pointing profilers and gap-filling scanning radars in enhancing monitoring and quantitative estimation of precipitation over the Bay Area. Results show that rainfall products derived with the aid of additional remote sensing observations have better performance compared to the operational radar products currently available in this particular domain.

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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