African Lion

African Lion 25 is U.S. Africa Command's largest, premier, annual exercise, hosted across Morocco, Ghana, Senegal and Tunisia. This joint, all-domain, multi-component, and multinational exercise includes more than 10,000 participants from more than twenty nations, including contingents from NATO. African Lion aims to strengthen interoperability among participants and build readiness to respond to crises and contingencies in Africa and around the world.

The exercise will include a command post exercise, field training exercises, a live-fire demonstration, and humanitarian civic assistance program events. Additionally, humanitarian civic assistance missions will feature a combination of medical, dental and veterinary assistance and exchanges across Morocco, Ghana and Senegal. 

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African Lion 25 Announcment

African Lion Images
Press Information

 

Videos
Video by Christopher Northfield
The Coastal Hazards System (CHS)
U.S. Army Corps of Engineers, Engineer Research and Development Center
Sept. 16, 2024 | 5:33
The Coastal Hazards System (CHS) (https://chs.erdc.dren.mil) is a national-scale, multi-agency initiative for quantifying coastal hazards from hurricanes and extratropical storms along U.S. coastlines and other strategic locations critical to national security. The CHS is a central USACE and federal resource of consistent high-fidelity, high-resolution coastal hazard data, covering frequent to extreme storm events. Using its cutting-edge Probabilistic Coastal Hazard Analysis (PCHA) framework, CHS encompasses a wide range of coastal hazards, including storm surge, waves, wind, rainfall, compound coastal-inland flooding, seiche, extreme tides, Sea Level Rise (SLR), and climate-induced storm changes. CHS is an industry-standard and easily accessible web-based environment for development, storage, and rapid access to PCHA hazard results and hydrodynamic modeling simulations of coastal storms. A user-friendly interface provides easy access, mining, plotting, and downloading of high-fidelity probabilistic and numerical modeling results for historical and synthetic coastal storms that could impact U.S. coastlines.
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