Opendata, web and dolomites

SPFireSD

Seasonal Prediction of Fire danger using Statistical and Dynamical models

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "SPFireSD" data sheet

The following table provides information about the project.

Coordinator
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION 

Organization address
address: Calle Jordi Girona 31
city: BARCELONA
postcode: 8034
website: www.bsc.es

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 Spain [ES]
 Project website https://www.bsc.es/research-and-development/projects/spfiresd-seasonal-prediction-fire-danger-using-statistical-and
 Total cost 170˙121 €
 EC max contribution 170˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-09-06   to  2019-11-04

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) coordinator 170˙121.00

Map

 Project objective

Wildfires have a great impact on the environment and can pose a threat to property and human lives and health. The occurrence of fire in natural vegetation is dependent on human activities and climate variability. In tropical areas such as the Amazon basin and Indonesia, wildfires are greatly affected by inter-annual fluctuations in tropical Sea Surface Temperatures (SSTs). During the El Niño events of 1997-1998 and 2015-2016, uncontrolled wildfires caused record impacts on health, transportation and the economy. The European countries of the Mediterranean basin are frequently plagued by drought episodes (e.g. during the summer of 2016), causing dangerous wildfires which result in deaths, health problems and economic losses.

Seasonal climate prediction is a field which typically forecasts seasonal average precipitation and temperature anomalies with a few months lead time. The main sources of predictability are SSTs, soil moisture, snow cover and teleconnections with the tropics. Seasonal climate predictions are performed operationally in Europe and globally, and are used in fields such as agriculture, health, water management and energy. While some effort has been put into short-term forecasts of fire danger in Europe, there is currently no operational seasonal wildfire forecasting system for Europe and only a few for other continents. The goal of this project is to develop and assess seasonal fire prediction capability through a variety of complementary and innovative methods, with a focus on Europe, the Amazonian basin and Indonesia.

 Publications

year authors and title journal last update
List of publications.
2019 Marco Turco, Sixto Herrera, Etienne Tourigny, Emilio Chuvieco, Antonello Provenzale
A comparison of remotely-sensed and inventory datasets for burned area in Mediterranean Europe
published pages: 101887, ISSN: 0303-2434, DOI: 10.1016/j.jag.2019.05.020
International Journal of Applied Earth Observation and Geoinformation 82 2020-03-12

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SPFIRESD" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

LEANOR (2019)

Detecting Low-Energy Astrophysical Neutrinos with KM3NeT/ORCA: the Transient Neutrino Sky at the GeV Scale

Read More  

Self-EsteemProcesses (2020)

A self-esteem process framework of the transition to work

Read More  

MathematicsAnalogies (2019)

Mathematics Analogies

Read More