Need Seasonal Forecasts?

*Trial results from a large producer organisation shows a 64% weather specificity, compared to a 50% crop benchmark.

Field-level Data for Decision-Support

Seasonal climate forecast launch

Seasonal weather uncertainty can cost large grower co-operatives and producer organisations over £1m each year

Take control over your harvests using seasonal forecasts and reduce machinery, seasonal labour, farm inputs and your carbon footprint

Our ground-breaking weather service is operational in the UK, Spain and Turkey. Our software code has been verified by the Science & Technology Facilities Council and results validated internally and by data specialists at Agrimetrics

Build smarter crop benchmarking platforms, integrated pest management (IPM) systems or decision-support applications. Refine precision farming operations such as preventative spraying, frost protection, crop quality assurance and avoid supply shortfalls

We deliver farm-level weather on demand at Agri-food Data Marketplace

Weather Logistics is also a sponsor for Yield21 ‘Predict Our Harvest’ and an active NERC project partner

Support for Growers, Producers and Agronomists

Optimise your crop performance using extended weather data

Climate-related Financial Disclosures

Short-term climate data, for operational scenario planning

Weather APIs for Crop Models

Daily weather APIs on a field-scale for developers and decision-support

Reduce Crop Waste

Producers of salads, soft fruit and field vegetables can reduce farm input costs by at least 5%

Microclimate Forecasts

Connect field-level forecasts to your weather sensors

Crop Protection

Farm-level insights into daily weather extremes resulting in crop damage

Rainfall Insights

Forecasts of localised rainfall and hail risk

Seasonal Forecast APIs for Decision-Support

Integrate our weather data into your decision-support applications
Seasonal climate forecast launch
Extended weather forecast for farmers
Field-level daily weather forecast scenarios
farming weather outlook for rainfalls
Balance fresh produce supply | Reduce farm inputs | Manage extreme weather

Meet Team Climate

ESA Climate Services Kickstart

European Space Agency

ESA Kickstart Team
Dr Christopher Nankervis

Christopher Nankervis

CTO & Founder
AgriTechE Membership Network

Agri-TechE

Network Member
UK Space Agency SPIN

SPIN Graduates

UK Space Agency

Why us?

Hear what our clients have to say

Delivered weather models for our international digital agriculture platform. They worked well with our team

Vince Gillingham

AgSpace Agriculture

We worked with Weather Logistics to explore the use models for the insurance industry. Chris has expertise in data analytics and impact assessment

Dr Mike Simpson

Centre for Ecology & Hydrology

Clear understanding of the multiple levels of environmental, social and economic issues

Christophe Auch

EU Climate-KIC

Secured funding and support from the European Space Agency, UK Space Agency, and the Science & Technology Facilities Council

Matthew Edwards

Matthew Edwards

European Space Agency

Contact us Today

+44(0)7949187732

Blog

Haystacks on the field in autumn season with cloudy sky

Seasonal forecast verification: supporting fresh produce supply

Weather Logistics now has proven its technology through an extended period of experimentation, offering a seasonal forecast system

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Climate Data HPC

Sustainability: Data as a Resource

Climate data is experiencing rapid growth, with providers using less sustainable HPC facilities. Are we now in a transition toward leaner downstream products using cloud processing?

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Flooded Fields Farm

The Forecaster’s Mindset: Learning Nature’s Rules

Many business coaches indicate that a Growth Mindset is essential to adapt, learn and develop new skills. This way of thinking has been key to the development of our weather forecast system.

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Rainfall Forecasts Weather

Verification of Complex Models

Our start-up delivers a unique set of weather forecast insights. We improve existing weather prediction models using observations and a sophisticated software algorithm.

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