Weather data: Virtual, in-field, or regional network—Does it matter?
Find out how different weather data sources compare and how those data affect the accuracy of common environmental models used by growers.
Ag weather networks
Low quality data can skew your modeling predictions, causing you to act at the wrong time or irrigate incorrectly. METER weather instruments are developed, rigorously tested, and supported by scientists—so you can get the high quality measurements you need, at the site you care about, for a price you can afford.
EDUCATION GUIDES
Growing degree day models: The complete guide to better accuracy
Six short videos—everything you need to know about how to nail your GDD predictions.
For accurate models, you need temperature data from your field or orchard, not regional data from miles away. That's why we created the ATMOS 41—an affordable, accurate way to capture in-field temperature measurements. Setup is incredibly easy. No complicated maintenance. Just reliability and quality data you can continue to count on.
Forget spreadsheets. What if your GDD models could be automated? With the ATMOS 41 and ZENTRA Cloud software, they can. ZENTRA Cloud works with the ZL6 to aggregate all your data in one easy place, graph them in near-real time, and even automate common environmental models.
GROW YOUR EXPERTISE
We want you to be wicked good at what you do. Discover an entire library of articles that teach the science behind the measurements, so you can sharpen your expertise.
MEASUREMENT INSIGHTS
Soil moisture: Why water content can’t tell you everything you need to know
If you’re only measuring water content, you may be blind to what your plants are really experiencing. Dr. Colin Campbell discusses how and why scientists combine both water content and water potential for more accurate insights.
Scientific weather station performance data and weather sensor comparisons
We performed comparison testing for ATMOS 41 vs. high-quality, research-grade non-METER sensors and conducted time-series testing for sensor-to-sensor variability. Here are the results.
Remote weather stations & weather instruments: Best practices for higher quality data
An in-depth look at seven basic steps you'll want to think about as you set up your weather station to obtain the highest quality weather data.
“AgWeatherNet meteorologists have completed an intensive analysis of virtual weather data from a leading commercial provider and found the accuracy for air temperature to be inadequate for many agricultural decision support needs.”
– Dr. Dave Brown, former Director of AgWeatherNet, promoting in-field air temperature measurements (see the study)
Master predictions. Get an overview of our latest products and enter the world of digital farming.
Webinar
Weather Monitoring 101: Which Weather Station is Right for You?
Dr. Doug Cobos explores how to choose which system is right for you and the sweet spot for price vs. maintenance vs. accuracy in your unique application.
We're scientists. The quest for knowledge is in our blood. We've spent decades learning the best way to measure pretty much everything, so you can access a wealth of information.
EXPERTISE LIBRARY
Data collection: 8 best practices to avoid costly surprises
Most data collection mishaps are avoidable with quality equipment, some careful forethought, and a small amount of preparation. The result? Usable, publishable data.
7 weather station installation mistakes to avoid
Dr. Doug Cobos discusses insider tips and best practices that will improve your accuracy and save you time, effort, and future headaches.
Soil moisture: Why installation is everything
You can improve the quality of your data and lessen the need to search for errors with smarter sensor installation techniques.
Case studies, webinars, and articles you’ll love
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