INMOST

Integrated monitoring and forecasting system for local weather and microclimate

 Coordinatore ILMATIETEEN LAITOS 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Finland [FI]
 Totale costo 226˙458 €
 EC contributo 149˙530 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-PoC
 Funding Scheme CSA-SA(POC)
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-04-01   -   2015-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    ILMATIETEEN LAITOS

 Organization address address: Erik Palmenin aukio 1
city: HELSINKI
postcode: 560

contact info
Titolo: Mrs.
Nome: Leena
Cognome: Tuomainen
Email: send email
Telefono: +358 295392370

FI (HELSINKI) hostInstitution 149˙530.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

commercial    forecast    pbl    climate    prediction    data    customer    sensor    companies    land    microclimate    monitoring    idea    evaluation    models    weather    network    learning    extreme    resolution    machine    local    versions   

 Obiettivo del progetto (Objective)

'The project aims to prove commercial potential of innovative system for monitoring and prediction of usual and chemical weather and microclimate based on: • New concept and models of atmospheric planetary boundary layer (PBL) as natural object responsible for local features of weather and climate • Wireless sensor network technology to perform monitoring of environmental parameters with very high spatial and temporal resolution • Machine learning technology for integrating weather-forecast data and sensor-network monitoring data into super-fine resolution weather forecast or microclimate evaluation • Local GIS and decision-making support (DMS) technologies

The basic idea lies in retrieving extreme and local features of weather (or climate) from combination of inexact information from operational weather prediction (or climate) models with local monitoring of PBL-control and customer-specific parameters. Both information flows are digested through machine-learning technology accounting for new knowledge about PBL. The system starts operating with a period of tuning to local features of weather (or climate), which improves its performance and guaranties higher than operational quality of weather forecast (or microclimate evaluation).

Commercial potential of the idea will be implemented through establishing a business aimed at: • Production and sales of monitoring/forecast correction systems: advanced versions – to municipalities, hospitals, agricultural, transport and energy companies; simple versions – to collective or individual customers, e.g., local communities, farmers, owners of summer houses • Providing microclimate and land-use consulting, e.g., for construction or precision agriculture • Delivering locally adjusted customer-specific weather forecasts for weather-dependent companies

The project implies global economic and societal benefits due to improved forecasting of extreme and dangerous weather events and advanced tools for land use.'

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