Marine Meteorology
Abstract
The marine atmosphere affects most aspects of naval operations. This activity develops observing technologies, models, Numerical Weather Prediction (NWP) systems and Tactical Decision Aids (TDA) that describe the atmospheric environment and its impacts on naval sensors and operations. This activity focuses on uniquely marine aspects of atmospheric science such as air-sea interaction, coupled ocean-atmosphere modeling, EM and EO propagation, coastal meteorology, Tropical Cyclone (TC) prediction, and the use of remote sensing to obtain quantitative observations of atmospheric properties. Aspects of the atmospheric environment of particular interest include near-surface phenomena that affect refractivity, marine boundary layer dynamics that affect clouds, rain, visibility and fog, and processes that control TC structure, track, and intensity. Objectives of this activity are improved NWP systems and TDAs that provide NOWCAST and forecast skill at global, regional, and tactical scales for operational support, sensor and system development, and performance prediction. Funding increase from FY 2013 to FY 2014 reflects increased emphasis across Marine Meteorology efforts including ramp up of some efforts initiated in FY 2012. Funding increase from FY 2014 to FY 2015 due to increased research towards developing a predictive capability for the impact of clouds, aerosols, and moisture gradients in littoral areas on electromagnetic and electro-optic propagation in support of new Naval sensors and weapons as part of Electromagnetic Maneuver Warfare. Also, to increase capability to assimilate non- traditional data sources such as those from autonomous systems and remote sensing for prediction of conditions in denied and degraded areas. Also an improved application for probabilistic prediction of air and sea conditions for ship routing and operational planning that enables increased energy efficiency and operational effectiveness.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2015
- Source ID
- da560f729452b28bdccf4734b38eb78e