The U.S. Drought Monitor (USDM) is a map released every Thursday, showing where drought is and how bad it is across the U.S. and its territories. The map uses six classifications: normal conditions, abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: moderate (D1), severe (D2), extreme (D3) and exceptional (D4).
The data cutoff for Drought Monitor maps is each Tuesday at 8 a.m. EDT. The maps, which are based on analysis of the data, are released each Thursday at 8:30 a.m. Eastern Time.
A project of the University of Nebraska-Lincoln.
NOAA's stats on drought conditions in the United States.
The U.S. Drought Monitor (USDM) is a map released every Thursday, showing where drought is and how bad it is across the U.S. and its territories. The map uses six classifications: normal conditions, abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: moderate (D1), severe (D2), extreme (D3) and exceptional (D4).
The U.S. Drought Monitor has been a team effort since its inception in 1999, produced jointly by the National Drought Mitigation Center at the University of Nebraska-Lincoln, the National Oceanic and Atmospheric Administration and the U.S. Department of Agriculture. Meteorologists and climatologists from the NDMC, NOAA and USDA take turns as the lead author of the map, usually two weeks a time. The author’s job is to do something that a computer can’t. When the data is pointing in different directions, they make sense out of it.
The Citizen Weather Observer Program (CWOP) is a public-private partnership with three goals: 1) to collect weather data contributed by citizens; 2) to make these data available for weather services and homeland security; and 3) to provide feedback to the data contributors so they have the tools to check and improve their data quality. In fact, the web address, wxqa.com, stands for weather quality assurance.
CWOP members send their weather data by internet alone or internet-wireless combination to the findU server and then every five minutes, the data are sent from the findU server to the NOAA MADIS server. The data undergo quality checking and then are distributed to users. There are over 800 different organizations using CWOP mesonet data.
Queries the OneCall API of OpenWeatherMap for a given location by latitude and longitude. This API returns information about the current weather, forecasts by minute, hour, and day, and national weather alerts.
A free, open, and documented weather forecast API, built as a compatible alternative to the Dark Sky API.
Weather forecasts are primarily determined using models run by government agencies, but the outputs aren't easy to use or in formats built for applications. To try to address this, I've put together a service (built on AWS Lambda) that reads public weather forecasts and serves it following the Dark Sky API style. It is not a reverse engineering of the API, since their implementation relies on radar forecasts for minutely results, as well as a few additional features. The API aims to return data using the same json structure as what Dark Sky uses.
Free API keys are capped at 20,000 API calls per month (once every 15 minutes).
Merry Weather is a lightweight forecasting website providing an all-in-one hourly summary of the upcoming temperature, precipitations and more. Hourly timelines helps plan ahead activities carefully with great precision. This website would not be possible without the ambitious Pirate Weather project which provides hourly and daily forecasting data in a sweet API.
Free and there are no ads. Most weather websites are needlessly heavy and distracting. Merry sky aims to be the opposite and give you precisely just what you need from a forecasting website. If you like this website, please consider donating to help with the hosting costs.
News and opinions about wildfires in the US.
The Waffle House Index is an informal metric named after the Waffle House restaurant chain to determine the effect of a storm and the likely scale of assistance required for disaster recovery. It was coined by former administrator Craig Fugate of the Federal Emergency Management Agency (FEMA). The metric is unofficially used by FEMA to inform disaster response.
REST API: https://wafflehouseindex.live/docs
WeeWX is a free, open source, software program, written in Python, which interacts with your weather station to produce graphs, reports, and HTML pages. It can optionally publish to weather sites or web servers. It uses modern software concepts, making it simple, robust, and easy to extend. It includes extensive documentation.
WeeWX runs under most versions of Linux, as well as macOS, *BSD, and Solaris. Many users are running on the Raspberry Pi. The images on this page and throughout this web site are from sample stations running WeeWX.
Thousands of stations throughout the world run WeeWX, many of whom have opted-in to be shown on our station map.
Github: https://github.com/weewx/weewx
rpi_rtlsdr_weather_station is Python code, based on https://dash.plotly.com to show weather data from a wireless weather station to a web page, served from a raspberry pi. Wireless data from the weather station is received with a RTL-SDR dongle and decoded by https://github.com/merbanan/rtl_433/.
The code is tested with a Fine Offset Electronics WH1080/WH3080 compatible Weather Station (Alecto WS-4000).
Open-Meteo offers free weather forecast APIs for open-source developers and non-commercial use. No API key is required. Pulls its data from the weather services of multiple countries. 7 day forecasts updated every three hours with a maximum resolution of 2km. All data is licensed CC-By-NC v4.0.
The documentation for Accuweather forecast API service.
An air quality monitoring network built on a new generation of Internet of Things sensors. Using a new generation of laser particle counters to provide real-time measurement of PM1.0, PM2.5 and PM10. PurpleAir sensors are easy to install and only require a power outlet and WiFi. They use WiFi to report in real time to the PurpleAir map. Sells air quality sensors that are pretty expensive. Don't know if it'd be possible to upload data from other kinds of sensors.
Account creation requires authenticating with a Google account only.
They have a JSON API but it's read-only and just a straight dump from their database: https://www.purpleair.com/json
https://www2.purpleair.com/community/faq#hc-access-the-json
There is also a Thingspeak API: https://www2.purpleair.com/community/faq#hc-thingspeak-api
They also seem to have a REST API but you need an API key and ChannelID. Not a big deal, really.
I don't know if this service is suitable for my purposes.
Software that simulates weather crawls and bulletins from the 80's and 90's. Show weather conditions and weather almanac data just like the early days of cable television. Customizable data layouts and crawl messages. Written in C++; nobody's perfect. Still tries to be as lightweight and simple as possible.
A worldwide, real time, community collaborative lightning location network.
Might be an API. Data could be useful.
A site that tracks tornados in the US. Notes their severity and location.
NWS Homepage of the National weather Service. Offers multiple kinds of weather forecast feeds - RSS and XML. API You can dig around to find the kind of weather data you're looking for; you'll probably have to go to the sub-sites linked
website for a project that teaches you how to build a weather monitoring station using a raspi and a couple of sensors.