Opendata, web and dolomites


Accurate Seasonal Forecasts for Boosting Renewable Energy Generation and Improving Current Disaster Risk Management

Total Cost €


EC-Contrib. €






 CLIMFOR project word cloud

Explore the words cloud of the CLIMFOR project. It provides you a very rough idea of what is the project "CLIMFOR" about.

industry    depends    arising    attempt    commercialising    atmospheric    nature    global    producing    sustainable    models    smooth    data    decade    operators    weather    million    balance    players    risks    few    designed    almost    873    annually    sources    floods    negotiations    25    policy    drought    solar    disasters    humanitarian    seasonal    worldwide    grid    killing    observation    headcount    algorithms    integration    climfor    revolutionising    predicting    service    natural    weeks    68    intelligent    providers    utilities    phenomena    crisis    risk    intelligence    happened    intermittent    plant    spatial    people    earth    radiation    strategies    disaster    geopredict    put    start    energy    inaccurate    2021    218    climate       employees    deal    accumulated    probabilistic    demand    accurate    renewable    created    revenue    prediction    1994    1x1    2013    km    aid    artificial    forecasting    mathematical    period    generation    medium    insurance    forecasts    renewables    anticipate    resolution    variables    managers    boost    situ    13    output    extreme    engine   

Project "CLIMFOR" data sheet

The following table provides information about the project.


Organization address
postcode: 17489
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-08-01   to  2019-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GEOPREDICT GMBH DE (GREIFSWALD) coordinator 50˙000.00


 Project objective

6,873 natural disasters happened worldwide in the period 1994-2013 (e.g. floods, drought, and other extreme weather phenomena) killing 68,000 people and affecting 218 million more annually. The early implementation of Disaster Risk Reduction strategies strongly depends on the availability of reliable seasonal forecasts. But global, long-term climate forecasting models are used for seasonal prediction and they are very inaccurate as they have not been designed to this end. On the other hand, the intermittent nature of renewable energy sources is a challenge to grid operators, utilities and plant managers as they attempt to anticipate energy output. Reliable weather forecasts enabling an accurate prediction of energy generation in order to balance production and demand is key to boost the production of renewables and their smooth integration into the grid. Current weather forecasts used by this industry do not focus in predicting relevant variables for the energy sector (such as solar radiation). At geopredict we have put the most recent mathematical algorithms based on Artificial Intelligence into the task of revolutionising atmospheric forecasts and have created CLIMFOR, an intelligent, probabilistic, forecasting engine based on earth observation and in-situ data producing very reliable seasonal (medium-term: from few weeks up to a decade) forecasts with high spatial resolution (down to 1x1 km). With CLIMFOR we aim at improving the way we currently deal with the risks and opportunities arising from global change through climate negotiations, sustainable development policy, humanitarian aid and crisis management, as well as enabling a smooth integration of renewable energy sources into the grid. By targeting the renewable energy providers, disaster risk reduction players and the insurance sector, we expect to start commercialising CLIMFOR service in 2021 and reach an accumulated revenue of €13 million after 3 years and increase our headcount with almost 25 employees

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The information about "CLIMFOR" are provided by the European Opendata Portal: CORDIS opendata.

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