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View profile for Dr. Abdulla Al Mandous, graphic

President, WMO | Director General of the National Center of Meteorology

As climate change and extreme weather intensify, the World Meteorological Organization is enhancing member capacity through disaster risk reduction, early warning systems, and adaptation strategies. Many WMO member states need stronger National Meteorological and Hydrological Services (NMHSs). WMO provides targeted training and resources to equip NMHSs with essential knowledge and tools. Read my latest article to learn more about how these efforts foster collaboration and ensure a more resilient and sustainable future for all.

Building WMO Members' Capacity for Enhanced Climate, Weather and Water Services

Building WMO Members' Capacity for Enhanced Climate, Weather and Water Services

Dr. Abdulla Al Mandous on LinkedIn

Marek Chrapa

R&D, Process Engineer and Inventor | Materials + Semiconductors | Physics Chemistry Optics Fluid Mechanics| Weather and Climate Engineering | Earthquake and Severe Weather Predictions, Holographic Climate Global Model

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How to estimate any impact on climate? How to distinguish if any action that humans do or nature does has an impact or not? How to differentiate? How to estimate if the action or event is relevant or not?   How to estimate drought or intensive weather phenomena' possible range and pattern?  How to estimate diffusion pattern range and its geometry?  Answer: to measure and observe its fractal pattern and fractal diffusive waves.  Extension method of climate measurement - prediction and monitoring emerged.   https://www.youtube.com/watch?v=tSJ1Gc-lmt4 Current climate and weather fractal wave model - proven and compared to ancient models and methodologies of measuring, diagnosing, and possibly influencing of weather and climate. How to measure and estimate climate /microclimate boundary and possible diffusion range and pattern. https://www.linkedin.com/posts/activity-7216746422832906242-HGGY?utm_source=share&utm_medium=member_desktop Already 12 predictions of earthquakes were done and documented using this model. Self-re-organizing fractal diffusive natural neural network patterns technology based on holographic and cymatic projection principles. Discovery, IP, Technology, methodology, All rights reserved ©  Marek Chrapa 

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