
SERV_FORFIRE
Integrated services and approaches for assessing effects of climate change and extreme events, for fire and post fire risk prevention
SERV_FORFIRE has the aim of creating an international collaborative community, to share the best methodologies related to the fire and post fire risk prevention. Experts in remote sensing of soil and vegetation, risk management and mitigation, and climate change are joined under this project to provide information to stakeholders and users to better understand and manage fires.
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SERV_FORFIRE delivers seasonal and sub-seasonal forecasts of fire and post-fire riskssuch as landslides and erosion, which allows us improving mitigation strategy.
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The developed drought-monitoring and forecasting system provides a semi-automatic, more detailed, timely and comprehensive operational servicefor decision making by water authorities, researchers and general stakeholders.
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Forecasts of particulate matter emissions from wildfires worldwide can be usedin global-scale air quality forecasting simulations.

About
What is the SERV_FORFIRE project about?
SERV_FORFIRE has the aim of creating an international collaborative community, to share the best methodologies related to the fire and post fire risk prevention. Experts in remote sensing of soil and vegetation, risk management and mitigation, and climate change are joined under this project to provide information to stakeholders and users to better understand and manage fires. The core activities are the seasonal fire occurrence model development, the Post fire risk assessment and the implementation of the joint activities among partners. Monitoring and mitigation strategies are shared at European and local scales also investigating pilot areas selected in Europe.
SERV_FORFIRE concept.
Highlights
- SERV_FORFIRE delivers seasonal and sub-seasonal forecasts of fire and post-fire risks such as landslides and erosion, which allows us improving mitigation strategy.
- The developed drought-monitoring and forecasting system provides a semi-automatic, more detailed, timely and comprehensive operational service for decision making by water authorities, researchers and general stakeholders.
- Forecasts of particulate matter emissions from wildfires worldwide can be used in global-scale air quality forecasting simulations.
Keywords / hashtags
Keywords: fire and post fire risk seasonal forecast, mitigation strategy, forecasting simulations, emissions, burned areas
Hashtags: #fireandpostfirerisk, #servforfire
Potential societal impacts
Results obtained in remote sensing of soil and vegetation, risk management and mitigation, and climate change, can be useful for stakeholders and users to better understand and better manage fires.
The role of JPI Climate
JPI Climate contributes to the success of the SERV_FORFIRE project. It does so by facilitating the transdisciplinary research collaboration, by enabling cross-border research, and increasing science-practice interaction. JPI Climate supports the sustainability of the project because it supports institutional integration, and contributes to spreading out key strategic information for fire and post fire risk monitoring. It also supports the development of adaptation and mitigation strategies, in view of a sustainable future.
Website SERV_FORFIRE
Project leader

My name is Rosa Lasaponara (Dr, Senior Researcher, Research Director of Remote Sensing of Forest Fire Laboratory of IMAA-CNR since 2008). I am interested in the development of fire monitoring adaptation and mitigation strategies that help to face fire and post fire risks at different spatial and temporal scales. I use remote sensing, statistical analysis, and modelling and I am involved in the characterization of environmental phenomena and processes based on satellite time series and ancillary data. I engage in this project for its transnational cooperation and inter-transdisciplinary approach for fire data science. Also, topics such as operational applications and exploiting climate services as a source of key strategic information in a sustainable future perspective, have my attention.
Project consortium
Royal Netherlands Meteorological Institute
Finnish Meteorological Institute
NCSR Demokritos
Department of Earth systems science and environmental technologies
French Geological Survey
Global Change Research Centre Czech Academy of Sciences
The consortium consists of the following partners.
National Council Research of Italy, Department of Earth systems science and environmental technologies (CNR DTA) coordinates SERV_FORFIRE and is involved in analysis and modeling for risk monitoring, drought forecasting at seasonal up to climatic scale, dissemination activity.
Finnish Meteorological Institute (FMI) evaluates the applicability of seasonal and sub-seasonal climate forecasts in fire risk prediction in Finland and builds a short term fire forecasting model using the analysis of multi-annual fire observations by MODIS and SEVIRI.
Bureau de Recherches Géologiques et Minières (BRGM)
develops erosion models to simulate the impacts on soil erosion and sediment transport of different post-fire land use scenarios.
Global Change Research Centre CAS (GCRI)
The integral part of GCRI are activities aiming at the development of innovation technological processes, proposals of measures for adaptation and educational activities. GCRI is in charge of implementation of joint activities.
Environmental Research Laboratory (INRASTES, NCSRD), Greece leads the Transnational cooperation and development of joint activities.
Royal Netherlands Meteorological Institute (KNMI)
has extended its Climate Explorer web service (http://climexp.knmi.nl) with empirical statistical forecasts of the monthly drought code on seasonal to long-term time scales.
Numerous stakeholder organisations and associated partner are involved in SERV_FORFIRE.
Documents
News & Events
Parent programme
ERA4CS
European Research Area for Climate Services
ERA-NET Cofund for Climate Services - This ERA-NET Consortium has been designed to boost the development of efficient Climate Services in Europe, by supporting research for developing better tools, methods and standards on how to produce, transfer, communicate and use reliable climate information to cope with current and future climate variability.
19
countries
130
partners
26
projects

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