The startup develops a weather modeling software that utilizes a pre-processing engine to convert large-scale meteorological data and various environmental inputs into customized fields for fine-scale weather forecasting. This platform enables users to accurately predict weather patterns and analyze atmospheric responses to changing conditions, enhancing decision-making in sectors affected by weather variability.
Funding
$3.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Accurate weather forecasting is crucial for industries affected by weather variability, yet traditional weather models often lack the precision needed for localized predictions and analysis of atmospheric responses to changing conditions. This imprecision can lead to increased uncertainties, higher imbalance costs, and less accurate energy yield predictions, particularly in the renewable energy sector.
Solution
Whiffle provides precision weather forecasting and simulation through an all-in-one weather model that leverages advanced science and computing technology. The model utilizes Large Eddy Simulation (LES) to deliver tailored and reliable forecasts and simulations on a hyper-local scale. By coupling LES with large-scale weather models, the platform simulates various weather variables and enables users to predict weather patterns and analyze atmospheric responses to changing conditions. This approach allows small-scale phenomena like turbulence and small clouds to naturally emerge and interact realistically with local details, such as topography, providing actionable insights for diverse industries.
Target Audience
The primary customers are in the renewable energy sector, including power traders, asset owners, and wind farm developers, as well as other industries affected by weather variability.
Features
- Hyper-local weather forecasts and simulations using Large-Eddy Simulation (LES)
- Ability to simulate any type of weather in any location by coupling LES with large-scale weather models
- High resolution (~100m) to accurately resolve complex wind patterns using fine-scale land surface data (land use, topography)
- Full-physics simulation that captures real-world atmospheric dynamics with modules for radiation, precipitation, and dispersion
- Ability to directly model turbine-atmosphere interactions without empirical wake parameterizations
- Capability to simulate large areas (the size of small countries) and long periods (up to a year) efficiently using GPUs
- Integration with ECMWF’s IFS or ERA5 and high-resolution land surface datasets
- Whiffle Wind web app to run LES simulations with a user-friendly interface