Datameteo for agro-meteorological services in managing weather risk (hail, drought, frost)

Meteorology can helps you and assisting your business: What we do..

Yesterday-Today-Tomorrow: The Climate Memory

Nowadays weather is one of the most important   word in our daily life. Internet is full of weather sources and for many people the search of the most reliable forecast  this is becoming a true obsession. Professional services try to keep account of the caotic state of the atmosphere and knowing the past, present weather data  and conditions is the first foundamental step to build an accurate forecast.

Yesterday  and actual weather can be known not only in places where a meteorological station is installated. Satellite feeds and the new  weather tecnologies fronties (reanalysis)  can help us to have data in places with poor density o total absecnce of weather stations.

Reanalysis is boh a weather technology and a scientific method for developing a comprehensive record of how weather and climate are changing over time. In it, observations and a numerical model that simulates one or more aspects of the Earth system are combined objectively to generate a synthesized estimate of the state of the system. A reanalysis typically extends over several decades or longer, and covers the entire globe from the Earth’s surface to well above the stratosphere. Reanalysis products are used extensively in climate research and services, including for monitoring and comparing current climate conditions with those of the past, identifying the causes of climate variations and change, and preparing climate predictions. Information derived from reanalyses is also being used increasingly in commercial and business applications in sectors such as energy, agriculture, water resources, and insurances.

Knowing the past in order to deal with the present and prevent in the future.

 

For the agriculture and the enviroment  is very important knowing in advance with some reliability whether it will rain or not, if there are late frosts, hail damaging, flash floods or drought with high temperatures, allows to program any irrigation of fields, crop spraying and phyto-sanitary treatments, the protection of them from hail or fire.

 Related to these disasters are connected  the economic and environmental risks arising from loss of agricultural production or hydrogeological.risk assessment. We operate every day to offer the best solutions to help the customerrs decision making capability relating potential risks.

Agrometeorology forecast indexes:When can I spray ?

To schedule tasks of sowing, haymaking, spraying, irrigation, pest control, such as the "spraying window" for phyto-sanitary products, which operate on the basis of meteorological parameters more related to agriculture (air and skin temperature, humidity, wind, precipitation, evapotranspiration, soil moisture)

You can see above our spray window index with green color that indicates fair  period, yellow caution, red unfavourable spraying period. This graphical presenation is at the same time very intuitive and essential.

Long term seasonal weather trends can help you to identify potential drought, floods potential risk

In the latest years climate change has created serious difficulties who must make choices in the medium to long term. A service at affordable rates  that offers  climate trends  over the coming months is an  good investment to support decision making processes. to establish an action plan for the implementation a long term company strategic activity plan.

Our Mission is to provide a simple aand a clear information on future weather scenaries in order to  plan activities and medium-and long-term as: monitoring potential risk, investment sourcing, advertising campaigns, choice of colture.ecc.

Example of a map of a seasonal prediction.  Briefly discussing Red, yellow colours to green correspond to positive anomalies. A red anomaly indicated more temperature expected that the seasonal average. Negative ones are representes by celeste trought  blue , dark blu and purple that indicates Frosted trends over an area.

Energy, agriculture, transportation, construction, municipalities, school districts, travel, food processors, retail sales and real estate are all examples of industries whose operations and profits can be significantly affected by the weather. For example, unusually mild winters diminish consumer demand for heating and erode the profit margins for utility companies. Unexpected weather events can cause significant financial losses. We give you the right instruments such weather information and accurate forecasts to be utilized in risk management  and decision making.

The maps above show CNR-IBIMET study indicating the potential hazard and frequency of events like hailstorms (latest 10 year), water floods and strong winds events above 120 Km/h.

The weather risk market makes it possible to manage the financial impact of weather through risk transfer instruments based on a defined weather element, such as temperature, rain, snow, wind, etc. Weather risk management is a way for organizations to limit their financial exposure to disruptive weather events.

Our approaches use modern investigative and monitoring tools not only related to the presence of data and archives of meteorological weather stations but also modern satellite and modeling technologies. These new frontiers can contribute effectively to the risk assessment, a first step towards preventing knowing and citing the sources used.

In this context, and in particular for the insurance and environmental industry DATAMETEO has developed:

Precipitation forecasts by using extraction algorithm of radar weather data, specific indices for hail, frost, lightning, thunderstorms risk, strong winds

Nowcasting instruments and hail risk index forecast even more refined and accurate are now available thanks to refinements and costant procative monitoring made by the Datameteo meteorologist

This image show a comparison among hail risk index forecast and the radar image showing  the extreme events on the right. On the left output we have the forecast for late in the afternoon of 18th of June 2012 with a marker indicating the hail risk.  More is darker the marker  ore is the higher the associated hailstorm index risk associated.  On the right the intensity of precipitation on the  shwon by the weather radar layer

Additionally the option to use an archive of in-situ meteorological data also allows us to refine the forecasting services built with high-resolution modeling, especially in places with certain critical issues like temperature inversions. Here comes into play a new level of service based on technologies and algorithms as Kalman filter, the Model Output Statistics (MOS) or neural networks, which use the measured data to correct the systematic errors and then produce a more reliable forecast with better performance.