Seametrics BaroSCOUT 2X Barometric Pressure Loggers
Features
- Increased memory to 100,000 records
- Integrated SDI-12 or Modbus RTU RS485 output
- 4.5-year battery life with user-replaceable batteries
- Free ground shipping
- Expedited repair and warranty service
- Lifetime technical support
- More
Overview
The Seametrics BaroSCOUT 2X Smart Sensor is designed to measure barometric pressure, along with temperature. It is an ideal companion to the LevelSCOUT 2X absolute pressure/level sensors and can be used to adjust their readings for atmospheric pressure.
Design
This industry-standard digital RS485 interface device records up to 100,000 records of pressure, temperature, and time data and operates with low power. The Seametrics BaroSCOUT 2X Smart Sensor and features easy-to-use Aqua4Plus 2.0 software with powerful features. Constructed with 316 stainless steel, acetal, and Viton, this sensor provides high-accuracy readings in rugged and corrosive field conditions.
The BaroSCOUT 2X utilizes an extremely rugged and stable piezo-electric media-isolated pressure element combined with a 16-bit analog-to-digital converter. This provides extremely accurate and stable pressure input into the microprocessor on the circuit board that measures the pressure and stores the data in non-volatile memory.
Power
A replaceable 2/3 AA 3.6v lithium battery powers the BaroSCOUT 2X. The unit is programmed using our easy-to-use control software. Once programmed the unit will measure and collect data at the time interval programmed.
*Note: The BaroSCOUT 2X is intended for use in the atmosphere—not to be submerged.
Select Options
In The News
From Florida to the World: How a Smithsonian Research Station is Bridging Gaps in Marine Biology
In the early 2000s, along the coast of northern California, where the redwoods dominate the forests, and the Pacific Ocean shapes shorelines, a Humboldt Univerisity undergraduate student took the first steps into a lifelong love of marine biology. Dean Janiak accepted an invitation to help a graduate student with fieldwork in rocky coastal tide pools, and so began a journey that led him from California to Connecticut to Florida and eventually to the world, where he has facilitated research in communities across the globe. While finishing up his masters of Oceanography from the University of Connecticut, Janiak continued researching fouling communities–marine life that live on hard, often artificial surfaces such as docks–at the Smithsonian Environmental Research Center.
Read More
Watershed Stewardship in Minnesota: Protecting Valley Creek in the Land of 10,000 Lakes
The Saint Croix Watershed is home to dozens of lakes, rivers, and streams that host an abundance of aquatic life from its tributaries. Valley Creek, a tributary of the St. Croix River, is a designated trout stream and while it is a pristine waterway, ongoing monitoring and stewardship establish a baseline of conditions and protect the creek. Don Wendel and Dllona Clendenen, Minnesota Master Naturalists, Liberal Arts majors, and retired college teachers, are two members of the wetlands research team based out of the Science Museum of Minnesota’s St. Croix Watershed Research Station that monitors Valley Creek throughout the year.
Read More
From Pans to Buoys: Advancing Reservoir Evaporation Rate Monitoring in Texas
In warmer climates like Texas, high reservoir evaporation rates can lead to declines in water level and water availability during droughts, making monitoring essential in order to ensure water security during times of scarcity. According to the Texas Water Development Board (TWDB), evaporation rates in Texas were previously based on data collected from a sparse network of Class A evaporation stations, dating back to the 1960s. These pans were stationed near reservoirs and still remain a widely accepted standardized approach to measuring evaporation rates on land. Monthly pan-to-lake coefficients were developed in the 1980s to connect the data collected from the pans to known lake conditions, extrapolating evaporation rates of the lakes using the pan data.
Read More
