Research

An R&D company, and a consortium partner.

Parametrica is built on a decade of research in atmospheric science and wind energy, carried out at Imperial College London and the US National Renewable Energy Laboratory, and continued in the open today. We publish, we sit on the standards committee, and we take work packages inside European research programmes.

Track record

Where the methods come from

Our founder directed over $6.7M of research at NREL, including a $3.9M US Department of Energy programme on hurricane impacts on offshore wind, led renewable-energy and offshore risk model product lines at Moody's used by 100+ organisations worldwide, chaired the IEA Wind Topical Expert Meeting on Extreme Weather Impact on Offshore Wind (2024), and serves on the IEC TC88 61400-3-1 standards committee.

$3.9M US DOE programme on hurricane impacts on offshore wind, directed at NREL
40+ peer-reviewed publications, 700+ citations
IEC TC88 offshore wind design standards committee, active member
2024 Chair, IEA Wind Topical Expert Meeting on Extreme Weather Impact on Offshore Wind
Selected publications

Recent work in the open literature

Review · Wind Energy Science, 2026

Grand challenges in designing wind turbines for tropical cyclone regions

Fifteen co-authors from national laboratories, universities and industry map the eight research gaps between today's IEC design basis and the typhoon-basin sites the industry is moving into.

Deskos et al. · doi:10.5194/wes-11-2749-2026 →
Research · Wind Energy Science, 2026

Cluster and internal wake effects from mesoscale and large-eddy simulations

A direct comparison across five atmospheric scenarios for three planned offshore wind farms off the US East Coast. Mesoscale models capture the cluster wake but underestimate the power losses from internal wakes between closely spaced turbines, which is the error that lands in an energy yield assessment.

Sanchez-Gomez, Deskos, Optis, Lundquist, Sinner, Xia & Musial · doi:10.5194/wes-11-2009-2026 →
Research · QJRMS, 2025

Turbulence-resolving simulation of Hurricane Laura

A large-eddy simulation that reproduces the storm's extreme winds and eyewall turbulence directly from the physics, the foundation of our extreme-weather hazard modelling.

Sanchez-Gomez, Deskos & Lundquist · doi:10.1002/qj.70003 →
Open benchmark · 2026

Calibrated probabilistic forecasting of household power at the edge

Our published benchmark: quantile forecasts of active and reactive residential power, calibrated to 80.0% empirical coverage against 80% nominal, in a sub-megabyte model running in half a millisecond on edge hardware.

Protocol, figures and results →
European R&D

Consortium work

Parametrica is a European SME, registered on the EU Funding and Tenders Portal as PIC 862445819, and open for business as a consortium partner. The work packages we own are the modelling and uncertainty ones.

What we take on

Work packages in atmospheric, ocean and climate modelling; structural and aeroelastic response; machine-learning surrogates; and uncertainty quantification and calibration. Usually the part of a proposal where the physics is the hard problem and someone has to own it.

How we work in a consortium

As a partner with named deliverables, not a body-shop subcontract. We write our own sections, we carry our work packages to completion, and we expect the results to be publishable. An SME partner also carries the higher funding rate and the exploitation narrative that evaluators look for.

Starting one

Send the call identifier and the deadline. Within a day you will have an honest read on whether the fit is real, which work packages we would own, and what we would need from the coordinator. If the fit is thin we will say so rather than pad a consortium.

Building a consortium?

Send the call identifier and the deadline. We partner with universities, laboratories, pilot sites and companies on proposals where the physics is the hard part.

Talk to us