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nameSummary
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A service supporting the forestry sector for climate-smart operations operation planning.




SponsorProject Solution providerUser

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nameTaxonomy
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  • Forestry
  • Land
  • Forests, Environment & Climate
  • Atmosphere & Climate


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nameUser profile
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Kemijoki

Metsäteho Oy is a limited company owned by the leading forest industry organisations and companies of Finland and is specialised in research and development (R&D) work and projects.

Metsäteho supports the development of its shareholders’ wood procurement and wood production operations and improves the operating preconditions for wood supply.

With this background, Metsäteho provides for Harvester Seasons contacts to leading forest companies and customers in Finland and Europe.


Image Added the most important producer of hydropower and regulating power in Finland. We own 20 hydropower plants, 16 of which are located at the Kemijoki watercourse area, two at River Lieksanjoki and two at River Kymijoki. In addition, we regulate the reservoirs in Lokka and Porttipahta as well as Lake Kemijärvi and Lake Olkkajärvi. Our most important goal is to produce hydropower for our stakeholders reliably and cost-effectively. We operate as an expert and commissioner organization of hydropower production and are developers of hydropower expertise. We acquire most of our operations from service providers. Thanks to our agile, partnership-based operating model, we can produce hydroelectricity cost-efficiently and adapt to changing conditions.Image Removed 


The Finnish Meteorological Institute (FMI) provides detailed information to support in more efficient hydropower operations through reduction of hydrological model uncertainties arising from incomplete information on snowpack states over large areas through increasing observation resolution and through data ingestion to the FMI HOPS model with both probability based and non-probabilistic frameworks. This service aims in reduction of spring snowmelt driven flood risks through more reliable hydrological nowcasts and forecasts. It is increasing forecast end-users' situational awareness and understanding of uncertainties and consequently providing a basis for optimization of hydropower operations. The outcome aims to bridge the gap between forecast providers and forecast end users by seeking solutions to remove barriers for information dissemination, application, and utilization.

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nameService description
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Harvester Seasons, developed by the Finnish Meteorological Institute, is a web application supporting the Finnish forestry sector by offering high-resolution soil trafficability, seasonal forecast, forest fire index and carbon emission information system. Harvester Seasons has been co-designed with the stakeholders from the Finnish forestry sector and tailored especially to their needs.

The trafficability service combines ALS Airborne Laser Scanning data by Finnish Forest Centre with FMI’s weather forecast as well as seasonal forecast and climatological conditions from Copernicus. The service provides information on forest fire risks. Giving guidelines to the forestry sector about the impacts of deforestation, clear-cutting and optimized forest management with respect to the forest’s carbon cycle helps additionally for sustainable operation planning.


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nameCustomer experience
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The data presented in the webservice is used for hydropower production optimization and assessment of modelling and monitoring uncertainties and as such has been seen as useful auxiliary information. Since FMI is not at this stage legally able to provide direct guidance on operational activities, the pilot is considered as an auxiliary service for new technologies and methods for forecast production and for combining relevant data from multiple sources into a single web service. Combining and displaying data from different sources, is seen as very significant in assessing forecasting uncertainties. Also, new promising methods for streamflow forecasting such as the operational usage of machine learning techniques has been added to the service during 2021.Image Added


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nameNeed
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  • Decreasing the vulnerability of energy companies to variations in meteorological and hydrological conditions through improved seasonal forecast products is the main expected impact of the project.

  • End-user tailored products on hydrological conditions will be disseminated to the key end user; Kemijoki Oy.

Forest operation planning service on trafficability and forest information based on hydrological, seasonal and weather forecast models.


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nameChallenges
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  • to develop an easily accessible service, which is tailored to the user's needs
  • to downscale seasonal long-term forecasts towards a dedicated trafficability service
  • Currently modelling and forecasting of snowmelt timing and melt rate uncertainties stem from uncertainties in model forcing data. The lack of widely available and reliable forcing data restricts wide spread application of more complex models, particularly in operational stream flow prediction systems. EO based snow state ingestion and communication with end users will be used to address these limitations. 
  • The methodology for determining snow conditions using coarse resolution EO data (for hydropower optimization) is already available. The main objective is to derive higher resolution and higher quality products, to improve timeliness and information content.

  • Providing accurate snow cover information from satellite observations and forecast products requires well-coordinated collaboration between the developers and the end users. All information needs to be disseminated in plain language, with special focus on communicating uncertainties to ensure that no information is "lost in translation".


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    nameResults
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    • Successful assimilation of EO-based SWE data in improving spring snowmelt driven runoff peak timing and volume forecasts.
    • Successful communication of uncertainties relating to long term seasonal ensemble forecasting.
    • Successful implementation of machine learning based new streamflow forecasting methods.
    • Successful integration of hydrometeorological data from multiple independent sources.
    • Useful overall reduction of official forecast uncertainties through auxiliary information dissemination.
    • to forecast trafficability based on frozen soil depth and soil moisture from Copernicus C3S seasonal predictions
    • to raise awareness and train foresters regarding their carbon footprint and motivate them to adopt low carbon, climate-smart harvesting


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    nameReferences
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    Learn more about the service: https://hopsharvesterseasons.fmi.ficom/

    Learn more about e-shape:   www.e-shape.eu

    A question? Contact the Helpdesk:   https://helpdesk.e-shape.eu