A new feature brings more context to hydrological forecasts by revealing the data origins behind virtual stations.
When you are managing water resources, a hydrological forecast is only as good as the data driving it. To make critical operational decisions, you don’t just need numbers, you need absolute confidence in where those numbers came from. That’s why BWI is introducing our latest API addition, as part of our latest release v2.15: Inspect Data Origins for Virtual Stations.
Instead of just delivering an output, the BWI API now gives you full, transparent visibility into the exact production context behind every virtual station.
Zero Guesswork on Freshness: See exactly when your forecast was generated in the station’s local timezone, alongside the precise weather model cycle used to build it.
Track Processing & Delays Instantly: By comparing computation times against publication times, you can easily estimate total processing lag and spot any provider-side dissemination delays before they affect your workflow.
Total Traceability for Seamless Integration: Feed high-fidelity metadata directly into your internal tools and data pipelines, making compliance and documentation completely effortless.
This evolution improves the product experience by giving access not only to the forecast output, but also to the production context behind it. Users can better understand where the data comes from, when it was produced, and which weather data it relies on. This additional layer of insight strengthens traceability and makes the information easier to integrate into clients’ tools and processing pipelines.
We believe data should work for you, not the other way around. Use the API and expose these data origins. Your engineering and operational teams gain the autonomy to assess data currency and reuse information instantly. Experience a more actionable, explicit, and reliable data workflow with BWI.
