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Sensors Climate / Environment Weather stations

Weather stations

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Supplier: Delta OHM S.r.l.,  G. Lufft Mess- und Regeltechnik GmbH, 
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Delivery type: CFR - Cost and freight,  CIF - Cost, insurance and freight,  CIP - Carriage and Insurance Paid to,  CPT - Carriage paid to,  DAP - Delivered at place,  DDP - Delivered Duty Paid ,  DPU - Delivered at place unloaded,  EXW - Ex Works,  FAS - Free Longitudinal Ship ,  FCA - Free carrier,  FOB - Free on Board, 
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Product types: Weather stations, 
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Signal output: 0 - 10 V,  0…20 mA,  0…5 V,  4…20 mA,  Modbus RTU,  RS-485,  sin, 
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Interfaces: Ethernet,  Modbus,  RS485,  SDI-12,  UMB binary,  UMB-ASCII,  USB, 
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Housing material: Aluminum, 
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Data measurement/ weather forecast function: Measurement of current weather data, 
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Measured variables: Air pressure,  Amount of precipitation,  Dew point,  Precipitation intensity,  Precipitation type,  Wind direction,  Wind speed, 
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Forecast data: Air pressure,  Forecast data is available through the Delta OHM portal "www.deltaohm.cloud".,  Radiation,  Wind direction, 
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Storable measured variables: Wind direction, 
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Installation/type: Mast mounting,  Pole mount, 
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS700
Measurement cycle 1 s
Measured variables Air pressure Precipitation type Precipitation intensity Show all Amount of precipitation Wind speed Wind direction
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS800
Housing depth 317 mm
Housing height 317 mm
Housing width 150 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS500
Weight 1.2 kg
Housing depth 287 mm
Housing height 287 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS502
Housing depth 150 mm
Housing height 317 mm
Housing width 150 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS600
Measurement cycle 10 s
Measured variables Air pressure Wind speed Wind direction
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS510
Measurement cycle 5 s
Measured variables Air pressure Wind speed Wind direction
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS400
Housing height 280 mm
Housing width 150 mm
Supply voltage 10 to 11 V
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS501
Housing depth 332 mm
Housing height 332 mm
Housing width 150 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS310
Measurement cycle 5 s
Measured variables Air pressure
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS601
Housing depth 361 mm
Housing height 219 mm
Housing width 164 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS200
Housing depth 194 mm
Housing height 194 mm
Housing width 150 mm
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS300
Measurement cycle 1 s
Measured variables Air pressure
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS301
Measurement cycle 18 s
Measured variables Air pressure
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS401
Measurement cycle 10 s
Measured variables Air pressure
Data measurement/ weather forecast function Measurement of current weather data
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G. Lufft Mess- und Regeltechnik GmbH All-in-one weather sensor Item number: WS302
Measurement cycle 1 s
Measured variables Air pressure
Weight 1.3 kg
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Delta OHM S.r.l. HD33 - Data logger for weather station Item number: HD33
Housing width 170 mm
Housing height 270 mm
Housing depth 110 mm
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Weather stations are devices that measure and monitor meteorological data such as temperature, humidity, air pressure, wind speed, wind direction and precipitation. These data are usually recorded automatically and continuously to enable accurate weather forecasting and climate analysis.

Modern weather stations consist of various sensors and instruments housed in a single enclosure. The sensors measure various meteorological parameters and send the data to a central control unit, which stores and processes the data. Most weather stations today also have wireless connectivity so that the data can be transmitted wirelessly to a data logger or computer.

The data collected by weather stations is used by weather services, meteorologists and climate researchers to make accurate weather forecasts, analyse weather patterns and create climate models. Farmers, gardeners and wine-growers also use weather stations to obtain important information about environmental conditions that are crucial for plant growth and harvest.

Weather stations are an essential tool for monitoring weather conditions and climate change. The information they collect helps us to better understand weather and climate phenomena and to better prepare for future events.

What is a weather station and what functions does it perform?

A weather station is a device that measures and records various weather data. It usually consists of several sensors that can record temperature, humidity, air pressure, wind speed and direction as well as the amount of precipitation. This data is then either stored locally or transmitted to a computer or smartphone via a wireless connection.

The main functions of a weather station are

1. Temperature measurement: It measures the current temperature in degrees Celsius or Fahrenheit.

2. Humidity measurement: It measures the moisture content of the air as a percentage.

3. Air pressure measurement: It measures the atmospheric pressure in hectopascals or barometers.

4. Wind measurement: It measures the wind speed in kilometers per hour or Beaufort scale and the wind direction.

5. Precipitation measurement: It records the amount of precipitation in millimeters or inches.

6. Weather forecast: Based on the data collected, a weather station can also create a weather forecast to make predictions about future weather.

Weather stations can be used for private use in gardens or on roofs as well as for professional purposes in meteorological stations. They are useful for monitoring the weather on site, obtaining accurate weather data and making forecasts.

How does a weather station work and which measuring instruments are used?

A weather station consists of several measuring instruments that record various weather data. The most important instruments are

1. Thermometer: It measures the temperature of the air.

2. Barometer: It measures the air pressure.

3. Hygrometer: It measures the air humidity.

4. Anemometer: It measures the wind speed.

5. Wind direction meter: It indicates the direction of the wind.

6. Precipitation gauge: It measures the amount of precipitation, such as rain or snow.

7. Sunshine duration meter: It measures the duration of sunshine.

8. Radiometer: It measures the radiation intensity of the sun.

The data from these measuring instruments is either read manually or recorded automatically. Modern weather stations are often equipped with sensors that record the data digitally and send it to a weather station unit, which can then process and display the data. This data can then be used to produce weather forecasts and other meteorological analyses.

What types of weather stations are there and what are the differences between them?

There are different types of weather stations, which can have different features depending on their purpose and function. Here are some common types of weather stations:

1. Basic weather stations: These are usually designed for home use and provide basic weather data such as temperature, humidity, air pressure and wind speed. You can work wirelessly with indoor and outdoor sensors.

2. Professional weather stations: These are often used by meteorologists, scientists and other professionals. They offer a wider range of measurements and functions, such as the measurement of precipitation, UV radiation, sunshine, soil temperature and moisture, as well as advanced data analysis functions.

3. Mobile weather stations: These are portable devices that have been specially developed for outdoor use. They are small, light and easy to transport and often provide basic weather data such as temperature, humidity and wind speed. They can be used by hikers, skiers or sailors, for example.

4. Automatic weather stations: These are fully automatic devices that can collect and monitor weather data around the clock. They are usually remote-controlled and can record a variety of parameters, including special measurements such as ozone concentration, aerosol particles and other environmentally relevant factors.

5. Satellite-based weather stations: These use satellite technology to collect weather data from afar. They can provide information on cloud formations, precipitation, temperature profiles and other meteorological parameters. Satellite weather stations are particularly useful for monitoring large areas such as oceans or deserts.

The differences between the various types of weather stations lie in the measurement parameters, the accuracy of the measurements, the ability to analyze data, the ability to communicate and the application. Professional weather stations are generally more accurate and offer a wider range of measurements than basic weather stations. Mobile weather stations are ideal for outdoor use due to their portability and user-friendliness. Automatic weather stations enable continuous monitoring and recording of weather data, while satellite-based weather stations can provide a global overview of weather conditions. Ultimately, the choice of weather station depends on individual requirements and the intended use.

What data is measured by a weather station and how is this information used?

A weather station measures a variety of data to provide information about the current weather. Here are some of the most important data measured by a weather station:

1. Temperature: The weather station measures the air temperature to determine whether it is warm or cold.

2. Humidity: The weather station measures the amount of moisture in the air to determine how humid or dry the air is.

3. Air pressure: Air pressure is measured to detect changes in the weather situation. A drop in air pressure can indicate an approaching deterioration in the weather.

4. Wind speed and direction: The weather station measures the speed and direction of the wind in order to obtain information about the wind characteristics.

5. amount of precipitation: The weather station measures the amount of precipitation, be it rain, snow or hail.

6. Solar radiation: The weather station measures the amount of solar radiation in order to obtain information about the intensity of the sun's rays.

This information is used to create weather forecasts, monitor the climate, conduct scientific research and support agriculture, energy production, transportation and other industries. Weather stations provide important data for meteorological services to create accurate forecasts and warn of extreme weather conditions. They also help to monitor climate change and support climate science research. In addition, weather data can be used by farmers to control irrigation and make harvesting decisions. Weather stations are used in shipping and aviation to provide information on current weather conditions and to ensure safety.

How are weather stations used to forecast the weather and how accurate are these forecasts?

Weather stations are used to forecast the weather by measuring various meteorological parameters such as temperature, humidity, air pressure, wind speed and direction. This data is recorded in real time and sent to weather services or meteorologists, who analyze and interpret it to create weather forecasts.

To produce accurate forecasts, data from various weather stations in a particular area is collected and combined. The more weather stations there are and the more accurately the data is measured, the more accurate the forecasts can be.

However, the accuracy of the predictions depends on various factors. These include the quality of the data, the availability of historical weather data for comparison, the accuracy of the weather models used for forecasting, and the ability of meteorologists to analyze and interpret the data.

As a rule, weather forecasts are relatively accurate for a period of a few hours to several days. However, the further into the future the forecast goes, the greater the uncertainty. Long-term forecasts over several weeks or months are less accurate and can only be regarded as rough estimates.

It is important to note that weather forecasts are always subject to a certain degree of uncertainty, as the weather is a complex system and is influenced by many factors. Therefore, unforeseen events or sudden changes in the weather can occur, which can lead to deviations from the forecasts.

What role do weather stations play in climate research and how do they contribute to the collection of climate data?

Weather stations play a crucial role in climate research as they help to collect accurate and reliable climate data. They are used to measure various meteorological parameters such as temperature, humidity, air pressure, wind speed and precipitation.

This data is regularly collected by the weather stations and stored in databases. They serve as a basis for analyzing climate patterns and trends over longer periods of time. By comparing historical weather data with current observations, climate researchers can identify changes and long-term trends.

Weather stations are also important for monitoring extreme weather events such as storms, heat waves, droughts and heavy rainfall. These events are becoming more frequent and more intense in connection with climate change. By accurately recording such events, climate researchers can better understand the effects of climate change and make predictions about future changes.

Weather stations are also used to validate climate models. Climate models are mathematical simulations of the climate system based on fundamental physical principles. The data from weather stations is used to check and improve the accuracy and reliability of these models.

Overall, weather stations play a crucial role in the collection of climate data and contribute to the development of a comprehensive understanding of the climate system. They provide important information for climate research, policy-making and the development of strategies for adapting to climate change.
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