Trusted by scientific institutions and energy leaders who demand precision
Trusted by scientific institutions and energy leaders who demand precision
The gold standard for operational decision-making. Run GPU-accelerated, non-hydrostatic models calibrated to your proprietary observation data. Resolve sub-kilometer turbulence and convective initiation that global models miss.
Deploy data-driven models in seconds. Benchmark and experiment with pre-configured instances of Google GraphCast, Nvidia FourCastNet, and Earth-2 for rapid ensemble generation and medium-range trend analysis without managing GPU clusters.
1# pip install weatherwise
2from weatherwise import Client
3c = Client(api_key="YOUR_API_KEY")
4res = c.forecast.short_term(
5 location={
6 latitude: 48.8566,
7 longitude: 2.3522
8 },
9 resolution: {
10 x: 200,
11 y: 200,
12 unit: "M"
13 },
14 gridPoints: "240x240",
15 start: "2025-09-23T12:00Z",
16 duration: "PT24H",
17 models: ["gfs"]
18)
19print(res)
