Decoding Wireless Weather Station Sensors with Flipper Zero Sub-GHz

This site's Flipper Zero Sub-GHz coverage treats signal hunting, capture, and replay as a security-research and remote-control topic — garage doors, gate remotes, fixed vs. rolling code. There's a completely different, perfectly legal use for the same CC1101 radio that gets much less attention: your neighborhood is full of wireless weather stations quietly broadcasting temperature, humidity, wind, and rain data in the clear, and the Flipper can read a useful chunk of it without any modification or external hardware. This is a good next step after the existing frequency-analyzer and signal-hunting guide, because it gives you a real, identifiable protocol to decode instead of an unknown remote.

Why Weather Stations Are a Good Sub-GHz Learning Target

Consumer weather stations (Acurite, Ambient Weather, La Crosse, and the many rebadged "Fine Offset" sensor families sold under dozens of brand names) broadcast continuously and unencrypted, on well-documented frequencies, using simple OOK (on-off keying) or FSK modulation. Unlike a garage remote, there's no rolling code to worry about and nothing ethically gray about receiving it — the sensor is shouting its temperature reading into the air every 30-60 seconds whether you listen or not. That combination of "always on," "unencrypted," and "well documented" makes it one of the friendliest real-world protocols to practice signal identification and decoding on.

Which Frequency to Listen On

RegionCommon frequencyNotes North America433.92 MHz (and increasingly 915 MHz on newer Acurite/Ambient Weather sensors)433.92 MHz remains the most common for older and mid-range stations; check your specific sensor model if you know it. Europe433.92 MHzConsistent with most other short-range ISM-band devices in the EU.

Start with Sub-GHz > Read on the Flipper, set the frequency to 433.92 MHz, and leave it on "Frequency Analyzer" mode briefly if you're not sure a given sensor is on that frequency at all — a strong, repeating RSSI spike every 30-60 seconds roughly where you'd expect is a good sign you've found a weather sensor rather than something else sharing the band.

Reading a Capture

Most consumer weather sensors use one of a small number of well-known OOK encodings — Acurite's 592TXR/606TX family and the Fine Offset/Ambient Weather WH-series sensors are the two you'll encounter most often, and the Flipper's stock firmware already recognizes several of these as named protocols rather than generic "RAW" captures, which matters: a named-protocol capture shows you decoded fields (temperature, humidity, channel/ID) directly on the Flipper's screen, while a RAW capture just gives you a timing waveform you'd need external tooling to interpret.

1. Go to Sub-GHz > Read and point the Flipper roughly in the direction of a known outdoor sensor, 433.92 MHz, within 10-20 meters for a reliable first capture.
2. Wait for the sensor's next transmission — if your firmware recognizes the protocol, the screen will show a named protocol (something like "Acurite-606TX" or similar depending on firmware and sensor family) along with decoded temperature/humidity values rather than raw hex.
3. If you only get a RAW capture, that's still useful — save it, and cross-reference the timing pattern against the public rtl_433 project's protocol documentation (the open-source RTL-SDR decoder that documents dozens of these protocols in detail) to identify which sensor family you're looking at and what the bit layout means.
4. Save confirmed captures to build a small personal library — once you've identified your own outdoor sensor's signature, you can distinguish it from a neighbor's similar station sharing the same frequency and rough protocol.

Custom Firmware and Decoding Depth

Momentum and Xtreme firmware (covered elsewhere on this site) both extend the stock protocol list and generally do a better job surfacing decoded weather sensor fields than factory firmware, which is one more reason this site's existing custom-firmware comparison guide is worth reading before you go deep on this. If you want to go further than what the Flipper's screen shows — logging readings over time, graphing them, or decoding a sensor family the Flipper doesn't natively recognize — exporting captures and feeding them through rtl_433 on a computer (it accepts replayed signal files, not just live RTL-SDR input) gets you a full decode and a timestamped log, at the cost of leaving the Flipper-only workflow.

What You Can (and Can't) Reasonably Do With This

Reading a sensor's broadcast data is receive-only and raises no transmission or interference concerns. What it is genuinely useful for: identifying whether a neighbor's weather station is bleeding into frequencies you're using for other sub-GHz projects, building a cheap secondary readout of your own outdoor sensor without buying the brand's proprietary indoor display, or simply using a documented, benign protocol to practice sub-GHz signal identification before moving on to less-documented traffic. What it's not a substitute for: this isn't a path to intercepting someone else's indoor base station's internet-connected data (that typically happens over WiFi, not sub-GHz, after the base station receives it) and it won't give you anything beyond what the outdoor sensor itself transmits.

If you've worked through this site's sub-GHz frequency-analyzer guide and want a concrete, identifiable, perfectly legal protocol to practice against rather than hunting for an unknown signal, a nearby weather station is about as good a target as sub-GHz gets — predictable timing, documented encoding, and a result you can verify against the actual temperature outside your window.