Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
severe.im is a publicly accessible weather imagery website maintained by an individual. The author describes it as a “crude weather page,” mainly used to generate and share imagery from satellites, radar, numerical weather models, and surface observations. It supports the author’s day-to-day teaching while also allowing public access and sharing. From a SaaS or enterprise software perspective, it is not a conventional commercial SaaS product; it is closer to a public weather-data visualization site.
The site covers GOES-19 satellite visible, infrared, and water vapor imagery; FAA surface station observation maps; NOAA/NSSL MRMS regional radar; and NCEP RAP and NAM numerical forecast outputs. NAM also provides Skew-T charts for selected cities, recently generated with SharpPy. The site also includes a lobby weather display suitable for classrooms or large-screen displays. The author is relatively transparent about data sources, update cycles, and processing methods. For example, some data comes via agreements between NOAA and AWS Data Exchange, while image processing uses Python, MetPy, ImageMagick, GrADS, Gempak, and other tools.
The main content does not mention plans, pricing, payment methods, or commercial subscription options. The images are described as publicly available for anyone to access and share. In terms of deployment, all collection, processing, and hosting run on Ionos servers paid for by the author; there are no customer self-hosting or enterprise cloud deployment options. The “integrations” here are mainly backend connections to data sources such as NOAA, FAA, Unidata, and NESDIS STAR, rather than third-party application integrations for enterprise users.
The site has no account system, team collaboration, role-based permissions, approval workflows, or admin console. The lobby display panel is also explicitly not editable by the public. On privacy, the author states that only one StatCounter cookie is used to count visits, with no other tracking. However, there is no mention of enterprise compliance capabilities such as SOC 2, ISO 27001, GDPR, or audit logs. APIs, SDKs, webhooks, and developer documentation are not provided either.
Its strengths are that it is free, data-rich, and transparent about its technical setup. It is well suited to meteorology teaching, tracking U.S. regional weather, monitoring severe convection, and classroom projection. Its drawbacks are the lack of enterprise-grade reliability guarantees, interruption risks for some legacy data sources, and the absence of SLA, customer support, permissions, APIs, or commercial support. If an organization needs a global weather API, availability commitments, or China-localized services, it should consider professional weather data providers or alternatives such as Windy and Meteoblue.
The main content provides no information about access from China, payment, or compliance, so actual availability is unknown. Since both its data sources and servers are overseas, access speed and stability from mainland China may be affected by network conditions.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on severe.im official site.
severe.im is an United States SaaS Tools provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach severe.im directly.