Open-source forecasting infrastructure, anywhere on Earth.

Our infrastructure powers high-resolution weather forecasting for energy operators and data platforms where other models stop–from remote villages to offshore wind farms.

High-resolution

Weatherwise operates open-source numerical weather models to deliver up to 72-hour forecasts at 1-km resolution, down to 250 m, with outputs every 15 minutes.

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Initial and boundary conditions provided by ECMWF IFS HRES, the world's most skillful large-scale weather-model.
Works with other forcing datasets like ERA5, CERRA5, or GFS.
Updated every 6 hours for accurate regional modeling

Domain experts

Many organisations already run WRF or other NWP models in-house, often at high cost and with limited focus. Weatherwise exists to take over that operational burden. We are a team of meteorologists and infrastructure engineers: We know the science behind the models we run, and the systems that make them efficient. That dual expertise is what lets us deliver transparent, operational forecasts at scale.

Built for complex regions

Most global or regional models stop at 2-9 km and cover only Europe or the US. Weatherwise runs sub-kilometer forecasts anywhere: urban area, desert, island, mountain, or offshore.

Energy traders & producers
Reduce imbalance costs and improve dispatch with 15-minute, 1-km forecasts.
Retail & consumer
Time promotions and inventory with weeks-to-seasonal demand drivers.
Transportation & logistics
Reroute around micro-weather, keep fleets on time, and protect loads.
Oil & gas
Schedule offshore/onshore operations with confidence; minimize weather downtime.
Construction & mining
Safer shifts and fewer delays with site-level forecasts down to 1-km and 250-m.
Government & public sector
Inform emergency planning, resilience, and climate risk reporting.

Coming nextTransparent infrastructure

Our mission is to build a shared infrastructure to run, compare and operate any open-source and proprietary numerical weather prediction models–physics and AI based.

Multi-model operation

Run any open-source NWP model (Meso-NH, WRF, ICON, UFS and more) anywhere on Earth with consistent configuration and output formats.

Unified model access

Fetch data from 20 + existing high-resolution models including AROME, ICON-EU or ECMWF IFS through a single API.

Model inter-comparison

Compare model outputs, compute basic skill metrics (bias, RMSE, MAE), and explore forecast uncertainty across models.

Efficiency transparency

We will publish runtime and energy usage trends for each configuration to drive down forecasting cost globally.

Coming soonUnified access

We partner with private and public institutions to give unified access to short, medium and long-range weather and climate prediction models.

Soon
Nowcast
Short-term
Sub-seasonal
Seasonal
Climate
1# pip install weatherwise
2from weatherwise import Client
3c = Client(api_key="YOUR_API_KEY")
4res = c.forecast.short_term(
5    lat=48.8566, 
6    lon=2.3522, 
7    variables=["temperature", "precipitation", "wind"],
8    end="2025-09-23T12:00Z",
9    models=["ecmwf-ifs-hres", "gfs"]
10)
11print(res)

Weatherwise is a scientific infrastructure company specialising in the operation of open-source numerical weather models at high resolution. We help energy practitioners and data providers obtain forecasts where global models fall short–and are building the comparison layer that will connect all high-resolution models together.