首页> 美国政府科技报告 >Atmospheric Support for Ground Systems Hit Avoidance Modeling Effort
【24h】

Atmospheric Support for Ground Systems Hit Avoidance Modeling Effort

机译:地面系统的大气支持击中了避免模拟的努力

获取原文

摘要

The Army Research Laboratory Survivability Lethality Analysis Directorate (ARL/SLAD) has identified for system analysis studies the need for high fidelity computer simulations of realistic battlefield environments requiring correspondingly high fidelity met/atmospheric input not currently available from conventional databases. The need spans (most) all SLAD mission areas. In August 1997, the Tools, Techniques, and Methodology (TTM) effort Atmospheric Support for Ground Systems Hit Avoidance was formed. The purpose of this group was to develop high fidelity meteorological/obscurant models in the FY98 and FY99 timeframe to be used in the missile warning systems models for ground systems survivability studies. These models will be used to develop the capability to predict/simulate effects of obscured atmospheres on propagation of laser beams and missile plume signatures for ground system defensive aids. The overall TTM effort consists of integrating several existing models; the Vehicle Smoke Protection Model (VSPM), the Combined Obscuration for Battlefield Contaminants (COMBIC), the MODerate resolution Transmission code (MODTRAN), and the Missile Flyout Model (FLYOUT), with several models to be developed; the Diurnal Scale Met Characterization Model (DAY24), the Missile Signature Propagation Model (MSPROP), and the Laser Propagation Model (LASPROP). The DAY24 Generator Model will provide the full diurnal cycle and high resolution vertical profiles (wind speed, temperature, relative humidity) of critical atmospheric/ meteorological parameters for up to 16 stability categories and 22 adverse weather types. LIDAR measurements and met measurements taken via met towers and tether balloons will be used to develop the model. The obscurant models will be run to compute transmittance and concentration data for selected battlefield munitions.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号