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Summary

The early warning system will make it possible to anticipate spring frost situations so that active means can be prepared to complement passive and semi-passive solutions, which are of a continuous nature. The system will combine models weather forecast numbers (NPM) with high-precision soil temperature maps developed from local time series. This methodology allows to perform a downscaling process from local information to reach a very high level of accuracy (individual plot level or hyperlocal scale). The system will be highly oriented to provide an easy-to-interpret mobile version in the field, including a system dissemination module for sending alerts via email, SMS and mobile notifications. This system will be integrated as part of the ClimAlert platform, enriching its spectrum of information and attracting new users.

Description

The early warning system will make it possible to anticipate spring frost situations so that active means can be prepared to complement passive and semi-passive solutions, which are of a continuous nature. The system will combine models weather forecast numbers (NPM) with high-precision soil temperature maps developed from local time series. This methodology allows to perform a downscaling process from local information to reach a very high level of accuracy (individual plot level or hyperlocal scale). The system will be highly oriented to provide an easy-to-interpret mobile version in the field, including a system dissemination module for sending alerts via email, SMS and mobile notifications. This system will be integrated as part of the ClimAlert platform, enriching its spectrum of information and attracting new users.

Periodo: 2021-2027
Estado: On going
Announcement: 1st call
Project: An-Gel Sudoe
Priority : 1 - Preserving Sudoe's natural capital and adapting to climate change
Objetivo: SO 2.4 (...) Climate Change Adaptation / Risk Prevention
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