Weather forecast

Make the weather your ally! Weather forecasts are essential for the organisation of agricultural activity. They also allow us to anticipate climatic hazards. Sencrop offers several of the most reliable weather forecasting models on the market so that you can choose the one you prefer to consult, depending on your preference.

Organise your week

Confirm forecasts

Refine your interventions

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How does a forecasting model work?

A weather forecasting model is a tool which, based on data collected by devices (station, radar, satellite, etc.), applies mathematical formulae to anticipate the behaviour of the atmosphere. There are different algorithms to simulate the evolution of a disturbance. These calculations provide a trend for a given geographical scale and a given time, which is why there are several weather forecasting models.

Organise your week

The impact of the weather is fundamental for the conditions of the plot, the crop, pests, inputs, etc. Farmers' schedules are built according to the weather conditions. Local weather forecasts from several suppliers therefore help to improve the organisation of farms.

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Confirm your forecasts

The diversity of weather models available on the Sencrop application allows you to compare the forecasts of each service to increase forecast reliability. This helps to confirm a trend and adapt to each situation. Ultimately, multi-model forecasting gives more confidence in weather forecasts and facilitates decision-making.

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Refine your interventions

The windows of intervention on the plot and the effectiveness of each intervention (sowing, treatment, fertilisation, harvesting...) are dependent on the weather conditions. Climatic conditions are evolving towards more and more recurrent bad weather, with a strong impact on agricultural weather. The analysis of several weather forecasting models helps to control the climatic risk and to identify the optimum time to intervene.

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Which weather forecasting model to choose?

Each weather forecasting service has its own specificities. These differences result from the calculation methods used for each model. Thus, each model is characterised by a covered territory, a forecasting period and a geographical grid. We have selected the models according to these 3 main criteria:

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Coverage of the territory

Each weather model simulates the evolution of the atmosphere over a territory and depending on the model can range from 2Km² to 22Km². This territorial coverage can correspond to a region, a country, etc. We therefore adapt the available models according to your geographical area.

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Resolution (time & geography)

The models will provide forecasts with varying degrees of accuracy (per km²) and timeframe (in days). It is interesting to consult different models depending on whether you want short-term or long-term forecasts.

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Popularity

Certain models are more favoured by users and weather providers because they are more accurate, longer-term, etc. Multi-model allows you to switch from one model to another within a single application.

Forecasting models

Benefit from accurate forecasts from 1 to 7 days depending on the model, and from 2 to 22 km². Anticipate the actions to be carried out in your fields !

ukmo

UKMO

Forecasts up to 2 days Up to 5sqkm Global model developped by UK Metoffice

meteoblue

Meteoblue

Forecasts up to 7 days Model used by NOAA

GFS

GFS22

Forecasts up to 1 days Up to 22sqkm Model used by NOAA

Icon7

ICON7

Forecasts up to 5 days Up to 7sqkm Model used by Deutscher Wetterdienst

arpege11

ARPEGE11

Forecasts up to 4 days Up to 11sqkm Model used by meteociel and metcheck

hrmn5

HRMN5

Forecasts up to 2 days Up to 5sqkm Model used by KNMI

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