We released RadarScope 1.0 for Windows in April and have been extremely pleased with the response. We’ve been working on RadarScope for iOS for ten years, and on macOS and Android for seven years. Version 1.0 for Windows took about a year from conception to release, so we weren’t able to include every feature from the other platforms. We’re developing those features and look forward to reaching parity with the macOS app later this year. Here’s a brief update on our progress.
The RadarScope Users Group on Facebook is a forum for current and prospective customers to learn— from one another and us—about the app, how to use it, and how to better interpret radar and related weather information. At its best, it’s a friendly and welcoming community with a mix of beginners who want to learn, and more advanced users who want to help them. It’s not about education level or professional experience. Severe weather affects everyone. RadarScope was designed from day one to bridge the gap between the novice and expert user, making it easy to access the most commonly used features while progressively exposing new features as users grow to understand and rely on them.
Occasionally, long streaks can be observed on reflectivity images. These streaks are a type of interference known as bistatic coupling, or “running rabbits.”
The 5:00 a.m. wakeup call to go for a morning run sometimes leaves a runner looking for any excuse to go back to bed. One recent morning, the forecast had a chance of rain. The first thing I did that morning was to check my Radarscope app. Radarscope can be a handy tool for showing my position relative to the precipitation.
We’re releasing RadarScope 3.7.3 for Android today to address the location services issue and a few others. Several changes have been made in an attempt to improve location services behavior. When RadarScope is denied location services at the requested accuracy level errors occur. We’re now trying again with a lower accuracy level. If that fails, we will advise users to change their location tracking settings to a higher level.
NEXRAD radars employ algorithms to calculate a predicted track of a storm. The calculation of these tracks begins with the algorithm, known as Storm Cell Identification and Tracking (SCIT).
