Lufft V200A Multi-Parameter Weather Sensor

The Lufft V200A Multi-Parameter Weather Sensor with plastic housing simultaneously measures wind speed & direction along with pressure and virtual air temperature.

Features

  • Four ultrasound sensors take cyclical measurements in all directions
  • Easily mounts to 2" diameter pipe with integrated bracket mount & nuts
  • SDI-12 output for integration with NexSens and other data loggers
Your Price $1,969.00
Stock Check Availability  

Overview
The Lufft family of multi-parameter weather sensors offer a cost-effective, compact alternative for the acquisition of a variety of measurement parameters on land- and buoy-based weather stations. Depending on the model, each sensor will measure a different combination of weather parameters to meet a wide variety of applications.

Pressure
Absolute air pressure is measured using a built-in MEMS sensor. The relative air pressure referenced to sea level is calculated using the barometric formula with the aid of the local altitude, which is user-configurable on the equipment.

Wind Speed & Direction
The wind sensor uses four ultrasound sensors which take cyclical measurements in all directions. The resulting wind speed and direction are calculated from the measured run-time sound differential.

Questions & Answers
No Questions
Did you find what you were looking for?

Select Options

  Products 0 Item Selected
Image
Part #
Description
Price
Stock
Quantity
Lufft V200A Multi-Parameter Weather Sensor
L8371.UA01
V200A multi-parameter weather sensor with plastic housing, virtual temperature, pressure & wind
Your Price $1,969.00
Check Availability  
  Accessories 0 Item Selected
Notice: At least 1 product is not available to purchase online
×
Multiple Products

have been added to your cart

There are items in your cart.

Cart Subtotal: $xxx.xx

Go to Checkout

In The News

Cal Poly, San Luis Obispo Manages Monitoring Efforts in Morro Bay

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.

Read More

Green Water in Green Bay: Using Data Buoys to Monitor the Southern Bay

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.

Read More

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.

Read More