Sunday Creek—The CCOPE Operations Center

Biter, Cleon J.; Johnson, Peter N.

doi:10.1175/1520-0477(1982)063<0482:sccoc>2.0.co;2

Cited by 3 publications

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“…Many participants commented on the value of this communal lunch arrangement for the morale and smooth running of the whole operation.6 The aircraft tracking system (MAPS, or Multiple Aircraft Position System) was developed for CCOPE and is the subject of a brief article byJohnson and Fink (1982). Likewise, the operations room set-up is described in another brief article byBiter and Johnson (1982).Downloaded from http://journals.ametsoc.org/doi/pdf/10.1175/1520-0477(1982)063<0386:TCCPEM>2.0.CO;2 by guest on 05 September 2020…”

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confidence: 99%

The Cooperative Convective Precipitation Experiment (CCOPE), 18 May-7 August 1981

Knight

1982

Bull. Amer. Meteor. Soc.

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The Cooperative Convective Precipitation Experiment, CCOPE, was an outgrowth of the perceived need for more comprehensive data sets on convective clouds. It was planned and executed by a large group of participants, with the leadership of the Convective Storms Division of NCAR and the Office of Atmospheric Resources Research of the Bureau of Reclamation. The field program ran from 18 May through 7 August 1981, involving networks of eight radars-seven Doppler, two dual-wavelength-123 mesonet stations, seven upper-air sounding sites, and 14 research aircraft (of which as many as eight were flown in coordinated missions on single storms). The field program was an operational success, with a lot of convective activity within the densely instrumented area, permitting many relatively complete data sets to be obtained. The data are now becoming available, and the analysis effort is commencing.

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confidence: 99%

The Cooperative Convective Precipitation Experiment (CCOPE), 18 May-7 August 1981

Knight

1982

Bull. Amer. Meteor. Soc.

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“…The primary operational displays used for MAPS data during CCOPE were the color display consoles and aircraft status displays in the operations room (Biter and Johnson, 1982). The aircraft status displays consisted of a listing of each aircraft with flight time remaining, current VOR/DME coordinates and altitude derived from MAPS, and any pertinent information desired, such as time of takeoff.…”

Section: Maps Deployment For Ccope 1981mentioning

confidence: 99%

Multiple Aircraft Tracking System for Coordinated Research Missions

Johnson¹,

Fink²

1982

Bull. Amer. Meteor. Soc.

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The Multiple Aircraft Position System (MAPS) was developed by the Convective Storms Division of the National Center for Atmospheric Research, in response to the need for aircraft position in the coordination of large field projects involving several research aircraft. Radio interferometer techniques are used to provide rapid, accurate determination of positions for up to 10 aircraft furnished with special airborne radio beacons. Three remote interferometer array sites receive the signals from the airborne beacons, each transmitting at a unique frequency. Each remote site is tuned to one beacon frequency at a time according to a programable polling sequence; several phase difference measurements are made from the received signal. These data then are telemetered to a central control station where they are transferred to a computer that calculates the direction cosines from each remote site to the airborne beacon, and thus determines the position of the beacon. The aircraft positions then are immediately available for display. The deployment of MAPS near Miles City, Mont, for the 1981 Cooperative Convective Precipitation Experiment (CCOPE) field program is described. Science Laboratory of the New Mexico State University, using techniques that had been used to track rockets at White Sands Missile Range. The interferometer receivers and some of the data handling equipment were purchased from the Physical Science Laboratory. From experience gained during several field tests in Colorado, major changes in the system design were made by CSD, and the system was first deployed as a developmental system for testing in the Miles City area in 1980. Further refinements were made after those tests, prior to the first use of MAPS in field operations during the Cooperative Convective Precipitation Experiment (CCOPE) field program in 1981 (cf, Knight, 1982). The following sections will briefly describe how MAPS works, as well as some of the major problems to be overcome with this type of system. It should be noted that MAPS was not designed to be a general-purpose aircraft tracking system, but was tailored to the requirements of CSD's field programs. Some of the features specific to the CCOPE 1981 field program will be discussed.

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“…Previous field projects, such as the Severe Environmental Storms and Mesoscale Experiment (SESAME) in 1979, the Cooperative Convective Precipitation Experiment (CCOPE) in 1981, the Oklahoma-Kansas Preliminary Regional Experiment for Storm-scale Operational and Research Meteorology-Central (OK PRE-STORM) in 1985, the Mesoscale Alpine Program (MAP) in 1999, and the more recent Bow Echo and Mesoscale Convective Vortex (MCV) Experiment (BAMEX) in 2003 (among others) have demonstrated the utility of analyzing real-time radar data for use in directing the scientific objectives of the project as well as for project nowcasting (Biter and Johnson 1982;Knight 1982;Cunning 1986;Houze et al 1989;Brown 1992;Chong et al 2000;Davis et al 2004). However, interpreting the data from many radar variables, especially when polarimetric radars are involved, can be time consuming and requires advanced, specific knowledge by the user (Vivekanandan et al 1999).…”

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confidence: 99%

An Integrated Display and Analysis Methodology for Multivariable Radar Data

Dolan

Rutledge

2007

Journal of Applied Meteorology and Climatology

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Polarimetric Doppler radars provide valuable information about the kinematic and microphysical structure of storms. However, in-depth analysis using radar products, such as Doppler-derived wind vectors and hydrometeor identification, has been difficult to achieve in (near) real time, mainly because of the large volumes of data generated by these radars, lack of quick access to these data, and the challenge of applying quality-control measures in real time. This study focuses on modifying and automating several radaranalysis and quality-control algorithms currently used in postprocessing and merging the resulting data from several radars into an integrated analysis and display in (near) real time. Although the method was developed for a specific network of four Doppler radars: two Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (KFTG and KCYS) and two Colorado State University (CSU) research radars [Pawnee and CSU-University of Chicago-Illinois State Water Survey (CSU-CHILL)], the software is easily adaptable to any radar platform or network of radars. The software includes code to synthesize radial velocities to obtain three-dimensional wind vectors and includes algorithms for automatic quality control of the raw polarimetric data, hydrometeor identification, and rainfall rate. The software was successfully tested during the summers of 2004 and 2005 at the CSU-CHILL radar facility, ingesting data from the four-radar network. The display software allows users the ability to view mosaics of reflectivity, wind vectors, and rain rates, to zoom in and out of radar features easily, to create vertical cross sections, to contour data, and to archive data in real time. Despite the lag time of approximately 10 min, the software proved invaluable for diagnosing areas of intense rainfall, hail, strong updrafts, and other features such as mesocyclones and convergence lines. A case study is presented to demonstrate the utility of the software.

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Sunday Creek—The CCOPE Operations Center

Cited by 3 publications

References 2 publications

The Cooperative Convective Precipitation Experiment (CCOPE), 18 May-7 August 1981

The Cooperative Convective Precipitation Experiment (CCOPE), 18 May-7 August 1981

Multiple Aircraft Tracking System for Coordinated Research Missions

An Integrated Display and Analysis Methodology for Multivariable Radar Data

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