Eric sson microweather microwave

[simog72]

Attached an intresting White paper
ERic son is promoting the usability of the performance monitoring of a MW network to implement a low OPEX low CAPEX new feature for weather forecast .
this feature/service could then create revenues to the operators if it sells data collected to traditional forecast radar services.

low cost, ground level data collection, higher info rate and higher resolutions are the differentiations points of this proposed methodology VS weather radars (installed today)
i suppose that collected data could be the ACM movements and/or the ATPC variations

[simog72]

i copy past
the benefits focused by the vendor:

the Microweather solution can support this ambition of weatherproofing business and the society in several key areas, such as:

• City water management: Optimize city water systems – in real time and everywhere. The sewage system for waste water is one of the most expensive infrastructures in cities. Optimizing the system to cope with heavy rain offers savings.
• Agriculture: More than one-third of the food produced today is lost or wasted. The value of the wasted/lost food is USD 750 billion, according to United Nations Food and Agriculture Organization (FAO). The losses are found over the food production and distribution chain – temperature, humidity and other weather-related parameters are all factors.
• Finance, insurance, and real estate: Protecting assets from weather-related damage and calculating risks – better understanding of weather impacts the insurance sector in terms of private and business losses (due to flooding, storm damage, and other events).
• Manufacturing: Flow without weather disturbance – on time and on demand. Manufacturing is affected by weather in several ways, such as influencing the arrival of goods and employees at production sites.
• Services: Forecasting optimal support and offerings based on needs. Weather-related disturbances impact the need for staffing and can impact delivery of services, such as electrical power. It is also important to have help-desks staffed and well informed.
• Energy: Local weather directly affects production and consumption of energy. Weather-related energy sources like solar and wind power are obviously directly impacted by weather, but the energy needs for heating and cooling of a building are also dependent on hyper local conditions.
• Retail: Forecast the need to offer weather-related products. Consumer behaviors are to some extent dependent on the weather. This goes for food (such as ice-cream) and clothes (such as jackets and scarfs). Super-local offerings are possible for retailers if and when they have accurate weather information.
• Transportation: Weather-related obstacles delay people and goods.

basically every corporation with its own MW network could implement a sort private high definition weather forcast