Don’t read this if you don’t want to preview climate disaster as a result of the butterfly effect.
ㆍLooking at ‘microclimates’, we can spoiler the butterfly effect.
ㆍEmnotion, a smart agriculture solutions company, transforms into a climate tech startup that predicts the weather.
ㆍThe butterfly effect predicted by emnotion has implications for logistics, construction, manufacturing, and even insurance.
To Calculate the butterfly effect
Emnotion is an Israeli technology company that takes inspiration from the ‘butterfly effect’. If a butterfly flaps its wings in Brazil and a tornado really happens in Texas, Emnotion’s mission is to uncover the butterfly effect. Is the butterfly effect really common? A recent study found that 72% of tropical storms in the Atlantic Ocean are associated with cyclones off the coast of Africa. To understand how climate conditions affect each other, Emnotion focuses on the microclimate, which refers to the unique climate of a localized area within 1.5 meters from the surface. Emnotion applies AI to analyze tiny changes in temperature, wind, and humidity in the microclimate. By doing so, they can predict extreme weather events such as droughts, floods, and typhoons three months before they occur. According to Ilya Shapira, CEO and co-founder of Emnotion, this is crucial to understanding how to calculate the butterfly effect and prevent weather disasters.
how an agricultural company began researching microclimate
This method was conceived when Emnotion was a company providing smart agriculture solutions before it became a climate tech startup. They realized that agriculture is heavily influenced by the weather and needed a tool to predict it, and Emnotion was born in 2016 to solve this problem. To achieve this, Emnotion installed 20 weather stations in both urban and rural areas of Georgia and interviewed hundreds of farmers. The data collected was used to create a big data analytics solution that uses natural language processing(NLP) and multi-level clustering analytics. This solution can provide annual precipitation for a specific location with monthly resolution. Emnotion’s virtual weather station is connected to a unique neural network that detects the global butterfly effect, which they call Climate DNA. This allows for real-time monitoring of weather conditions in remote areas without the need to install climate measurement equipment.
But Emnotion relies on open sources or IBM’s The Weather Company for climate data. The Weather Company operates a high-resolution weather observation network, and Emnotion applies its own algorithms to this data. By utilizing AI, big data, and geographic information systems (GIS), Emnotion creates microclimate models based on AI’s deep learning approach. These models can provide annual precipitation for a localized area or a specific location, as well as help with seasonal predictions of severe weather or weather events.
What’s different about predicting the butterfly effect?
They say changes are happening in many areas. Emnotion is characterized by observing the climate of a very small area and making unique and rare predictions. Current customers of Emnotion’s extreme weather forecasting services span many sectors of society, including logistics, manufacturing, and insurance.
1. Logistics: Supply chain management is critical in logistics. It provides real-time weather information and predictive analytics to help optimize logistics operations. Businesses can proactively respond to weather-related logistics disruptions and create efficient routes to deliver goods on time.
2. Manufactuing : Emnotion is working with ICL(Israel Chemicals Ltd). If extreme weather forecasting is used, industrial disasters such as a factory exploding due to flooding can be avoided. The goal is to minimize the cost of risk by monitoring safety issues in factories around the world.
3. Insurance: More frequent climate disasters, such as hurricanes and floods, mean more human casualties. Emnotion helps insurers develop customized insurance products. For example, they offer a solution to predict the probability of stroke based on microclimatic conditions and the patient’s risk group.
4. Construction: Provide climate data to construction companies that need to secure tower cranes during sudden high winds. It also operates an SMS alert system that automatically notifies construction workers before extreme wind, heat, and dangerous conditions occur. This allows for proper scheduling of projects involving weather-sensitive materials such as concrete and paint.
5. Drones: If you’re flying drones in the city, you need to know about wind conditions. “Wind acts in unpredictable ways in cities, and it varies from street to street and block to block,” Shapira explains. Emnotion’s hyperlocal weather forecasting service can help you predict turbulence on the fly.
6. Military: Emnotion provides the IDF(Israel Defense Forces) with hourly updated climate forecasts. This could potentially save soldiers’ lives from heat wave risks or flooding during training.
7. Agriculture: Emnotion has partnered with the United Nations Development Programme (UNDP) to provide hyperlocal climate forecasting services to smallholder farmers in Asia. With this information, farmers can gain insights into the latest weather. They can plan their crops, including planting seeds, scheduling irrigation, and applying pesticides, while managing the risk of climate disasters.
