Not only the production of green energy, but also the consumption of resources depends largely on the weather conditions. With more precise measurement data and therefore more local forecasts, the provision of energy can be tailored much more precisely to the expected demand. This means that the scheduling and trading of energy sources can be further optimized.

To assess the insurance risk (buildings, etc.) of weather-related failures or damage, it is important to have more precise knowledge of the real conditions of the place for which the insurance is taken out. For example, it is important to consider whether areas run along or near rivers. In particular, smaller rivers with extensive catchment areas and relatively high relief energy are usually underestimated. Statistical statements about “hundred-year events” do not provide any useful information because they do not consider that even extremely rare events, when they occur, lead to extremely high costs.

Hardly any other sector of the economy is as dependent on the weather as agriculture. Precise knowledge of the weather conditions on site is necessary for resource-saving use and the necessary planning. Detailed information is necessary for yield-enhancing management of plants, irrigation, and effective fertilizer use. Not only the determination of the air temperature, but also special variables such as soil moisture or dryness at different depths and the soil temperatures must be recorded. Depending on the nature of the subsoil and the relief of the terrain, there can be large spatial differences. The different distribution of rainwater is particularly important in summer, as showers mean big differences in a relatively small area. With on-site weather stations, important information can be obtained and monitored, and more detailed forecasts of the desired meteorological conditions can be made for planning. This means that local weather characteristics are also recorded in the forecasts, e.g. the terrain, vegetation, and soil conditions.

The cities of the future must strategically adapt to climate changes and mitigate the consequences of these changes. A dense inner-city measurement network is the prerequisite for defining and implementing focal points of design and development at the various levels of the urban living space. The networking of data sources creates the opportunity to systematize the results of different model projects.

Small local businesses that make their living from tourism are more or less dependent on the weather. Smaller trips or excursions are usually planned and implemented at relatively short notice. More accurate forecasts based on a denser network of observation stations not only make this decision easier. Regional entrepreneurs can also use this to better plan upcoming needs or schedule their staff.

The transport of goods is heavily dependent on the weather. Traffic jams caused by heavy rain or ice cause delays and failures in the transport chain on the one hand and increase costs due to increasing diesel consumption on the other. Extreme temperatures cause road damage or rail breakage. Inland shipping reacts extremely sensitively to both, floods due to closures, and low water levels with falling freight volumes. The ice conditions are also a limiting factor. Seaports are often closed during storms, causing disruptions in supply chains. To ensure dynamic route planning in real time, detailed weather information is crucial.

Early warning systems are intended to ensure that appropriate adaptation and protective measures are provided to protect the population. Supply can stall or become impossible due to accidents or inaccessibility. The warning about UV, ozone, pollen, fine dust, or heat depends on the availability of current meteorological data. More weather stations improve supply to the population and reduce the number of claims.

Severe weather such as storms, floods, and snowstorms range in scope from cross-country events to regional events. But they are always associated with dramatic consequences. For precise forecasts, weather service providers need now-casting - meaning high-resolution observation data in a time window of 0 to 2 hours to continually specify the course of storms. On the one hand, this saves costs because the number of unnecessary warnings or evacuations is reduced, and on the other hand, protective measures can be initiated in a timely and targeted manner. The scheduling of the deployed personnel can also be done more effectively.

After large-scale storms, damage is usually easier to prove than in small-scale events. With a close-meshed measuring network, surge damage caused by lightning, local storm damage caused by squalls or water damage caused by local heavy rainfall are recorded more precisely. For measurements that take 5 minutes or even 1 minute, a more precise time allocation is possible.