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The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part IV: The White Sands Missile Range Auto-Nowcast System
During the summer months at the U.S. Army Test and Evaluation Command’s (ATEC) White Sands Missile Range (WSMR), forecasting thunderstorm activity is one of the primary duties of the range forecasters. The safety of personnel working on the range and the protection of expensive test equipment depend...
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Published in: | Journal of applied meteorology (1988) 2008-04, Vol.47 (4), p.1123-1139 |
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container_title | Journal of applied meteorology (1988) |
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creator | Saxen, Thomas R. Mueller, Cynthia K. Warner, Thomas T. Steiner, Matthias Ellison, Edward E. Hatfield, Eric W. Betancourt, Terri L. Dettling, Susan M. Oien, Niles A. |
description | During the summer months at the U.S. Army Test and Evaluation Command’s (ATEC) White Sands Missile Range (WSMR), forecasting thunderstorm activity is one of the primary duties of the range forecasters. The safety of personnel working on the range and the protection of expensive test equipment depend critically on the quality of forecasts of thunderstorms and associated hazards, including cloud-to-ground lightning, hail, strong winds, heavy rainfall, flash flooding, and tornadoes. The National Center for Atmospheric Research (NCAR) Auto-Nowcast (ANC) system is one of the key forecast tools in the ATEC Four-Dimensional Weather System (4DWX) at WSMR, where its purpose is to aid WSMR meteorologists in their mission of very short term thunderstorm forecasting. Besides monitoring the weather activity throughout the region and warning personnel of potentially hazardous thunderstorms, forecasters play a key role in assisting with the day-to-day planning of test operations on the range by providing guidance with regard to weather conditions favorable to testing. Moreover, based on climatological information about the local weather conditions, forecasters advise their range customers about scheduling tests at WSMR months in advance. This paper reviews the NCAR ANC system, provides examples of the ANC system’s use in thunderstorm forecasting, and describes climatological analyses of WSMR summertime thunderstorm activity relevant for long-range planning of tests. The climatological analysis illustrates that radar-detected convective cells with reflectivity of ≥35 dBZ at WSMR are 1) short lived, with 76% having lifetimes of less than 30 min; 2) small, with 67% occupying areas of less than 25 km²; 3) slow moving, with 79% exhibiting speeds of less than 4 m s−1; 4) moderately intense, with 80% showing reflectivities in excess of 40 dBZ; and 5) deep, with 80% of the storms reaching far enough above the freezing level to be capable of generating lightning. |
doi_str_mv | 10.1175/2007JAMC1656.1 |
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Part IV: The White Sands Missile Range Auto-Nowcast System</title><title>Journal of applied meteorology (1988)</title><description>During the summer months at the U.S. Army Test and Evaluation Command’s (ATEC) White Sands Missile Range (WSMR), forecasting thunderstorm activity is one of the primary duties of the range forecasters. The safety of personnel working on the range and the protection of expensive test equipment depend critically on the quality of forecasts of thunderstorms and associated hazards, including cloud-to-ground lightning, hail, strong winds, heavy rainfall, flash flooding, and tornadoes. The National Center for Atmospheric Research (NCAR) Auto-Nowcast (ANC) system is one of the key forecast tools in the ATEC Four-Dimensional Weather System (4DWX) at WSMR, where its purpose is to aid WSMR meteorologists in their mission of very short term thunderstorm forecasting. Besides monitoring the weather activity throughout the region and warning personnel of potentially hazardous thunderstorms, forecasters play a key role in assisting with the day-to-day planning of test operations on the range by providing guidance with regard to weather conditions favorable to testing. Moreover, based on climatological information about the local weather conditions, forecasters advise their range customers about scheduling tests at WSMR months in advance. This paper reviews the NCAR ANC system, provides examples of the ANC system’s use in thunderstorm forecasting, and describes climatological analyses of WSMR summertime thunderstorm activity relevant for long-range planning of tests. The climatological analysis illustrates that radar-detected convective cells with reflectivity of ≥35 dBZ at WSMR are 1) short lived, with 76% having lifetimes of less than 30 min; 2) small, with 67% occupying areas of less than 25 km²; 3) slow moving, with 79% exhibiting speeds of less than 4 m s−1; 4) moderately intense, with 80% showing reflectivities in excess of 40 dBZ; and 5) deep, with 80% of the storms reaching far enough above the freezing level to be capable of generating lightning.</description><subject>Armed forces</subject><subject>Atmospheric research</subject><subject>Climatology</subject><subject>Commands</subject><subject>Data assimilation</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Flash floods</subject><subject>Forecasting</subject><subject>Forecasting models</subject><subject>Freezing</subject><subject>Impact tests</subject><subject>Lightning</subject><subject>Meteorological applications</subject><subject>Meteorology</subject><subject>Military</subject><subject>Missile ranges</subject><subject>Mountains</subject><subject>Radar</subject><subject>Radar echoes</subject><subject>Reflectance</subject><subject>Sands</subject><subject>Storm damage</subject><subject>Storms</subject><subject>Test equipment</subject><subject>Thunderstorms</subject><subject>Tornadoes</subject><subject>Weather</subject><subject>Weather analysis and prediction</subject><subject>Weather conditions</subject><subject>Weather forecasting</subject><issn>1558-8424</issn><issn>0894-8763</issn><issn>1558-8432</issn><issn>1520-0450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkctLxDAQh4so-Lx6E4Kgt9Y8Jk16XBafKAq7ei1jmmqXtlmTrrD_vVlXVLx4Spj55mOSX5IcMpoxpuQZp1TdjO7GLJd5xjaSHSalTjUIvvl957Cd7IYwoxRAKbmT-OmrJfdz63FoXI8tubPBvWDXYTox2FoyisVlaALBviIXzluDYSCTZRhsR1xNhjj_mE0yMvLdkkxtbK7I83dsF59OMnbR1lcZeUA_kOun_WSrxjbYg69zL3m8OJ-Or9Lb-8vr8eg2NSDZkIKujEaEyhSFVlJKiPWKGyOosJRyXVdgUYkajRayEEhFXSEANc81PEMl9pLTtXfu3dsiLlZ2TTC2bbG3bhFKAVIoCuxfkNNcMkaLf0FWgCp0ISN4_AecuYWPPxllHHKea72yZWvIeBeCt3U5902HflkyWq4SLX8nWq72PPmyYojZ1B5704TvKU6FlFTpyB2tuVkYnP_p50zx-BbxAflXqD8</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Saxen, Thomas R.</creator><creator>Mueller, Cynthia K.</creator><creator>Warner, Thomas T.</creator><creator>Steiner, Matthias</creator><creator>Ellison, Edward E.</creator><creator>Hatfield, Eric W.</creator><creator>Betancourt, Terri L.</creator><creator>Dettling, Susan M.</creator><creator>Oien, Niles A.</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope></search><sort><creationdate>20080401</creationdate><title>The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. 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Part IV: The White Sands Missile Range Auto-Nowcast System</atitle><jtitle>Journal of applied meteorology (1988)</jtitle><date>2008-04-01</date><risdate>2008</risdate><volume>47</volume><issue>4</issue><spage>1123</spage><epage>1139</epage><pages>1123-1139</pages><issn>1558-8424</issn><issn>0894-8763</issn><eissn>1558-8432</eissn><eissn>1520-0450</eissn><coden>JOAMEZ</coden><abstract>During the summer months at the U.S. Army Test and Evaluation Command’s (ATEC) White Sands Missile Range (WSMR), forecasting thunderstorm activity is one of the primary duties of the range forecasters. The safety of personnel working on the range and the protection of expensive test equipment depend critically on the quality of forecasts of thunderstorms and associated hazards, including cloud-to-ground lightning, hail, strong winds, heavy rainfall, flash flooding, and tornadoes. The National Center for Atmospheric Research (NCAR) Auto-Nowcast (ANC) system is one of the key forecast tools in the ATEC Four-Dimensional Weather System (4DWX) at WSMR, where its purpose is to aid WSMR meteorologists in their mission of very short term thunderstorm forecasting. Besides monitoring the weather activity throughout the region and warning personnel of potentially hazardous thunderstorms, forecasters play a key role in assisting with the day-to-day planning of test operations on the range by providing guidance with regard to weather conditions favorable to testing. Moreover, based on climatological information about the local weather conditions, forecasters advise their range customers about scheduling tests at WSMR months in advance. This paper reviews the NCAR ANC system, provides examples of the ANC system’s use in thunderstorm forecasting, and describes climatological analyses of WSMR summertime thunderstorm activity relevant for long-range planning of tests. The climatological analysis illustrates that radar-detected convective cells with reflectivity of ≥35 dBZ at WSMR are 1) short lived, with 76% having lifetimes of less than 30 min; 2) small, with 67% occupying areas of less than 25 km²; 3) slow moving, with 79% exhibiting speeds of less than 4 m s−1; 4) moderately intense, with 80% showing reflectivities in excess of 40 dBZ; and 5) deep, with 80% of the storms reaching far enough above the freezing level to be capable of generating lightning.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2007JAMC1656.1</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Armed forces Atmospheric research Climatology Commands Data assimilation Earth, ocean, space Exact sciences and technology External geophysics Flash floods Forecasting Forecasting models Freezing Impact tests Lightning Meteorological applications Meteorology Military Missile ranges Mountains Radar Radar echoes Reflectance Sands Storm damage Storms Test equipment Thunderstorms Tornadoes Weather Weather analysis and prediction Weather conditions Weather forecasting |
title | The Operational Mesogamma-Scale Analysis and Forecast System of the U.S. Army Test and Evaluation Command. Part IV: The White Sands Missile Range Auto-Nowcast System |
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