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The UltraHD City Weather model

The Meteologix AG UltraHD weather model is the heart of the urban adaptation and mitigation solution services offered by the CityCLIM framework. It is a full-physics 100m weather model forecasting operationally weather parameters for urban areas.

The UltraHD 100m weather model

The UltraHD is an urban weather forecasting model designed to operate at an ultra-high resolution of 100 meters. It is focused on addressing the complexities and specialties of urban environments. It differs from usual studies and projects that usually employ moderate model resolutions and subsequently downscale them. 

The UltraHD model aims to: 

  • Understand the challenges posed by climate change effects within urban areas, especially potential problematic zones. 

 

  • Offer detailed insights into wind patterns, turbulence, temperature, and other meteorological processes at the micro level. 

 

  • Assist cities in adjusting their structural planning based on detailed weather forecasting insights. 

 

  • Serve as a basis for further development and enhancements to better understand city-scale weather and air quality processes impacting urban life 

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The UltraHD receives a plethora of input data from earth observation services as well as in-situ data and boundary data from the SuperHD 1x1km model and is then applied to a Pilot city. It produces a variety of relevant weather forecast parameters. 

How does the UltraHD work?

✓ Utilizes a fine mesh size of about 100 m, which allows for better data assimilation, especially from weather sensors (mobile and stationary).

✓ Built on a foundation provided by Meteologix AG’s expertise in weather modelling and atmospheric process prediction.

✓ Nested within the larger 1x1 km SuperHD model, it inherits boundary data and refines it for high precision local analysis.

✓ Relies on high-quality input data like topography, building heights, vegetation type, and more (COPERNICUS data, other satellite and earth observational data, 3D city models, etc.)

✓ Outputs data for various prognostic variables, such as wind speed, temperature, humidity, precipitation, and more.

✓ Has potential applications in modelling air pollution as done for Pilot city Valencia

✓ Uses high-resolution maps for temperature forecasts, local heat indices, pollution forecasts, and risk of increased pollution.

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