Vaisala WXT535 Multi-Parameter Weather Sensor
Features
- Low power consumption is ideal for battery powered systems
- No moving parts for durability and long maintenance intervals
- Easy integration with 3rd party data collection platforms
- Free ground shipping
- Expedited repair and warranty service
- Lifetime technical support
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Flexibility
The Vaisala WXT530 seriesĀ of weather instruments observe six of the most important weather parameters, which are air pressure, temperature, humidity, rainfall, wind speed and direction through various combinations. Select the transmitter with the needed parameter(s) for specific weather applications, with a large variety of digital communication modes and wide range of voltages. There is a heated option available to keep sensors clear of snow and ice. Low power consumption enables solar panel applications. The Vaisala WXT530 Series focuses on maintenance-free operations in a cost-effective manner. The Vaisala WXT535 Multi-Parameter Weather Sensor simultaneously measures air temperature, humidity, pressure and rainfall in a compact platform with optional heating.
Integration
The series offers analog input options for additional third party analog sensors. With the help of the built in analog to digital converters, the Weather Transmitter WXT530 turns into a small, cost effective weather parameter hub. Additional parameters include the solar radiation and external temperature sensor. The analog mA output option for wind speed and direction enables a wide variety of industrial applications. The WXT530 exceeds IEC60945 maritime standards.
Solid Performance
Ultrasonic Vaisala WINDCAP Sensors are applied to determine horizontal wind speed and direction. Barometric pressure, temperature, and humidity measurements are combined in the PTU module using capacitive measurement for each parameter. The module is easy to change without making contact with the sensors. The precipitation measurement is based on the unique acoustic Vaisala RAINCAP Sensor without flooding, clogging, wetting, and evaporation losses.
Select Options
In The News
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California Polytechnic State University, San Luis Obispo (Cal Poly, SLO), has been monitoring Morro Bay for decades, and while the monitoring program has changed over the years, the dedication to monitoring the bay has remained the same. The project started in 2006 as a Packard Foundation-funded initiative to monitor water quality flowing in and out of Morro Bay. The goal at the time was to use the data collected to develop and inform an ecosystem-based management plan in collaboration with the Morro Bay National Estuary Program (MBNEP). Since the estuary was the focus at the time, researchers were monitoring water flowing into the estuary from Chorro Creek and Los Osos Creek.
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While the bay of Green Bay has been referred to as the largest freshwater “estuary” in the world, the watershed hosts intensive agriculture and contributes one-third of Lake Michigan’s total phosphorus load. The Fox River flows into the bay, carrying excess nutrients largely the result of non-point source runoff from the watershed. With a history of deterioration extending well into the last century, the bay ecosystem suffered significant declines in water quality. This, in turn, stimulated major clean-up and ongoing restoration efforts to improve water quality. Tracking these changes is an important aspect of ecosystem management.
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Cross-Border Sewage Contaminated Flows: Monitoring the Tijuana River
The Tijuana River runs across the US-Mexico boundary, flowing into and throughout southern California, carrying with it nutrients and contaminants throughout the estuary. In recent decades, the flows have been heavily polluted with untreated sewage from the City of Tijuana. The wastewater enters the greater Tijuana River estuary, impacting coastal communities and disrupting the natural environment. In order to better understand these cross-border flows, researchers out of San Diego University sought to monitor the waterway test the capabilities of in-situ sensors to measure the contaminated water. Natalie Mladenov and Trent Biggs were two of the researchers involved in the project, deploying a real-time monitoring system in May of 2021.
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