Water resources assessment is a necessity for a successful development of domestic and industrial water supplies, maintenance of human health, hydropower, irrigation, flood and drought protection, and preservation of the environment. The first step in developing a water resources sustainability strategy and management plan is to know the quantity and quality of water available.
Vaisala C-band weather radar is a fully integrated system providing superior data quality and high availability for several applications.
The Vaisala HydroMet™ System MAWS301 is a compact, robust and easy to use system providing quality controlled data both in meteorological and hydrological applications. Especially designed for unattended operations at remote sites requiring high reliability, low power consumption and extended back-up battery capacity.
The Vaisala HydroMet™ System MAWS110 is a compact, robust and easy-to-use system which provides quality controlled data both in meteorological and hydrological applications.
The Vaisala HydroMet™ System MAWS100 extends the field-proven quality and reliability of the existing Vaisala HydroMet™ Systems to new applications. The MAWS100 is a compact system for hydrometeorological monitoring when a small number of sensors is required.
The Vaisala Weather Transmitter WXT520 measuring the six most essential weather parameters (wind speed and direction, liquid precipitation, barometric pressure, temperature, and relative humidity) in one fully integrated instrument with no moving parts. WXT520 replaces WXT510. Applications include weather stations, dense networks, buildings, golf courses, marinas, harbors, and hotels.
Vaisala MetMan™ Network Software has been designed to meet the immense and diverse demands for managing observation data of national meteorological and hydrological institutes, as well as those of other organizations with environmental monitoring needs.
The Vaisala Network Maintenance software is designed for maintenance personnel to support the activities related to the maintenance of weather observation networks.