The Hydro-Meteorological Center of Russia trusts in Lufft weather sensors

On the recommendation of the Russian partner, the Hydro-Meteorological Center of Russia in Moscow recently installed an automatic weather station equipped with Lufft sensors. The implementation phase took place in winter 2018/2019.

The compact weather sensors WS500 and WS100 included in the station deliver information on air temperature, precipitation type and quantity, wind direction and speed, relative humidity and air pressure every ten minutes. The data are publicly available on the Center’s homepage. It provides Moscow residents with detailed information about the current and past weather and is quite popular.

“The Lufft stations are distinguished by their advantageous price-performance ratio, ease of installation and operation”,

confirmed the project manager.

The first image shows sections of the evaluation diagrams. The black-grey graph shows the average wind speed on the grey curve, while the black curve illustrates the maximum wind speed in gusts every 10 minutes. The wind direction (from where the wind blows) is indicated by arrows below. The diagram with the green line indicated the precipitation in mm issued every 10 minutes.

You might also like these articles

Spottlight Newsletter Title Image

Newsletter – SPOTTLIGHT 03/25

This is the web version of the OTT HydroMet Newsletter. If you want to receive the email, you can subscribe here by choosing 'Solutions, Products and News'. Dear Reader, Welcome...
HydrologyMeteorologySolar Energy

How to Determine the Best Water Level Sensor for Your Site

Water level monitoring is crucial for managing water resources, flood mitigation, and environmental protection. With the launch of the OTT RLS 500, a next-generation radar level sensor, it's an excellent...
Hydrology
hydrologist in a river monitoring water

2025 Hydrometeorological Monitoring Trends

Three Key Trends: AI, IoT, and Localized Measurements In the face of climate change, the need for accurate, comprehensive information has never been more critical. The integration of Artificial Intelligence...
HydrologyMeteorology