One thing I wish the weather station could be tracking, but currently isn’t, is whether or not it’s snowing.
Right now, I have a rain gauge that’s a “tipping bucket”, so-called because it collects rain in a tiny bucket, which tips periodically as it fills up. The rain rate is inferred from the number of bucket tips. This setup doesn’t work when it snows: snow isn’t liquid, so it doesn’t fill up the tiny bucket. You can attach a little heater to the rain gauge (here’s a classic forum-style post about how to do this), which would melt the snow and theoretically allow you to track it as liquid precipitation.
But this misses the whole point, in my opinion! The whole reason to track snow precipitation is not to measure the rate at which it’s snowing, interesting though that might be. It’s pretty simply to track the groud conditions of whether or not it’s snowing at all! e.g. ideally a sensor which emits a boolean condition IT’S SNOWING or IT’S NOT SNOWING.
Part of why this is worth knowing at all: the three main National Weather Service weather stations in New York City (where I live) are in the middle Central Park, JFK airport and LaGuardia airport. Not super representative, as NYC locations go! Plus: nearly everywhere in NYC has various exposure to different bodies of water, elevations, building heights, etc, all of which add up to local precipitation variability. I want to know whether or not it’s snowing, at any given time, at a real NYC neighborhood location!
It turns out there’s a name for a type of precipitation sensor that can distinguish between rain/snow: it’s a present weather sensor, sometimes called a disdrometer. They all measure the rate and size of falling droplets. Unlike the weather station, which was relatively cheap (~$100), most of the disdrometers are mega expensive… I’ve been trying to search Google & GitHub for disdrometers every few months, in the hope that eventually one of them “gets cheap” or someone comes up with something DIY. Here’s my February 2018 disdrometer report, in ascending order of cheapness:
- An acoustic disdrometer - this DIY option may not work for the same reason the Hydreon sensor may not work, but it sounds so cool that it merits inclusion: basically this is just a contact microphone that’s mounted to a piece of glass. It’s probably less than 10 bucks to make so I’ll probably just have to try this one out regardless!
- This guy’s home-made radar - this forum post in German outlines what seems like a cool idea for a DIY version of the Radar-style present weather sensors that cost literally thousands of dollars more…there’s even a GitHub for the software side of the project. I fear my electronics skills may not yet be quite up to snuff for this one
- The “Hydreon RG-11” - This sensor has dominated the precipitation sensor SEO game, & for good reason: it’s only 60 bucks! Supposedly so cheap because it’s manufactured at scale for use in car windshield wiper rain detection systems (!). HOWEVER, its literature basically states that it won’t detect snow. HOWEVER (2), its manual describes a “drop detection” mode, where you receive pulses for every detected drop…maybe this could be used in conjunction with some data model to distinguish snow vs rain?
- The “Lufft WS100” - This ~$1,200USD sensor is slightly different from the other two expensive sensors, in that it uses a 24GHZ radar (!) instead of a laser to detect droplet speed/size.
- The “MiniPWS” - this one is by far the most promising, because it’s a laser-based sensor made by what appears to be a solo operator as opposed to a big industrial firm, and “probably the cheapest Present Weather Sensor on the market”. That said, it’s not cheap: it’s ~$1300 USD. But it would definitely do the trick. It also looks cute / passes the “looks like an animal with eyes” test
- The “Laser Precipitation Monitor” - ~$4000USD 😬 listing here because someone from Biral, who makes this laser-based sensor, actually got back to me with prices which is more than can be said for many similar-looking sensors from other, more corporate companies!! This is what a lot of the pros use (or at least a lot of academic papers using present weather sensors)