Al-Musallh Magazine is specialized in defensive, armament, strategic matters and national security

Turkey | The Turkish army will receive the Altay tank during 2025 and it is one of the most advanced tanks in the world.

Turkey | The Turkish army will receive the Altay tank during 2025 and it is one of the most advanced tanks in the world.

Türkiye's Minister of National Defense, Yaşar Güler, recently confirmed that the Turkish Armed Forces will begin receiving the first serially-produced Altay main battle tanks by the end of 2025. This…

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United State | US HitchHiker Interceptor Drone Tested in Ukraine for Advanced Counter-Drone Operations.

United State | US HitchHiker Interceptor Drone Tested in Ukraine for Advanced Counter-Drone Operations.

According to a recent report by the American news magazine Newsweek, the advanced HitchHiker interceptor drone, developed by American companies IronNet and Asterion Systems, is currently being tested on the…

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Pakistan | 12th edition of IDEAS 2024 kicks off at Karachi Expo Centre.

Pakistan | 12th edition of IDEAS 2024 kicks off at Karachi Expo Centre.

KARACHI. On November 22nd, the 12th edition of the International Defence Exhibition and Seminar (IDEAS 2024) concluded at the Karachi Exhibition Centre on Tuesday The exhibition was inaugurated on the…

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Canada | First MQ-9B drones enter production at General Atomics Aeronautical Systems Inc.

Canada | First MQ-9B drones enter production at General Atomics Aeronautical Systems Inc.

Progress is being made on Canada’s Remotely Piloted Aircraft System (RPAS) project as the first two MQ-9B drones have entered production at General Atomics Aeronautical Systems Inc. (GA-ASI) in San…

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The main extreme weather phenomena that affect Libya are:

Sandstorms, Fog, Thunderstorms, heatwaves.

These phenomena can cause, directly or indirectly, economic and environmental losses as well as human deaths. For example, Both sandstorms and fog phenomena can severely affect land transportation and take off and landing operations in civil and army aviation, and this may lead to delays as well as disruptions and can cause deadly accidents.

In Libya, weather-related disasters are mainly produced by sandstorms as they affect mainly the whole country. Moreover, the statistical analysis of the frequency of occurrence of sandstorms of 10 synoptic weather stations, which cover nearly the whole country, shows that this phenomenon occurs in almost the whole year in many stations and it becomes more active in spring season. In addition, our analysis shows that April has the highest number of sandstorms in the most synoptic weather stations. Furthermore, our study displays that synoptic weather stations at Tobrouk, Hone, and both Sirt and Gadames have the highest number of occurrence of such phenomenon with annual frequency of 15, 13, and 11 respectively. Both extreme weather phenomena and climate have an enormous effect on military operations. The climate and weather and their extremes have the impact on the design and organization of successful campaigns and training programs. When the campaign and operations are launched in the environments of sandstorms or extreme desert heatwaves these are severely affected by the expected weather and climate. Extreme weather, such as fog and sandstorms can cause delays and disruptions in aviation operations as well as ground transportation, military logistic and support operations and communication facilities. The climatic data should be taken into account when planning and implementing the armed operations and training campaigns. It is those martial operations that deal with:

  1. Movement of soldiers and clothing,
  2. Design of military weapons and equipment and facilities,
  3. Medical and health care support,
  4. Storage and deposition of materials and equipment.

The army commanders and planners should consider the key relation between weather, especially extremes, and climate and military activities when plan for military and attack operations. And even when carrying out training and routine movement of soldiers. For example, wind

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