SlideShare a Scribd company logo
i-React for
Climate Change
Gabriele Franch, Azra Alikadic, Andrea Gobbi, Cesare Furlanello
FBK // MPBA
EUROPE
(1980-2013)
4,443 events
111,211 people killed
33,031,632 people affected
480,398,000,000 € economic
damage
FROM NATURAL HAZARDS TO DISASTERS
6.3 9
20 3
MILLION € COUNTRIES
PARTNERS YEARS
2016
2017
2018
2019
FUNDED BY THE
EUROPEAN
COMMISSION.
SECURITY WORK
PROGRAMME
(DRS-1-2015)
12 SME
3 RESEARCH CENTERS
2 Universities
2 Public Companies/ Institutes
1 UN Body
Italy
France
Spain
Germany
Finland
Austria
United
Kingdom
Norway
Serbia
I-REACTOR
DATA SOURCESAND MODELS
EU & LOCAL
EARLY WARNING SYSTEMS
GEOSPATIAL RISK MODELS
DECISION SUPPORT SYSTEM MODELS
SEASONAL WEATHER FORECAST
HISTORICAL DATA
SOCIAL MEDIA DATA STREAMS
CLIMATE CHANGE MODELS
The European Flood danger forecasts (EFAS),
European hazard fire maps (EFFIS) will be combined
with local early warning systems.
I-REACT will implement a system to
extract valuable information about
ongoing disasters from the messages
published on Twitter.
Hazard mapping services for floods, fires and heat
waves will be combined with exposure and
vulnerability to compute risk maps.
I-REACT will create a decision support system to
suggest to decision makers appropriate actions for
disaster risk reduction.
I-REACT will analyse available historical data about past
emergencies and also store all data generated within
the platform to improve future emergencies response.
I-REACT will provide information of how average
weather conditions are likely to evolve from 6 months
(higher resolution) up to 9 months (lower resolution).
To asses the long-term impact on floods and
wildfires due to climate change, I-REACT models
will provide an overview of the general trends and
help establishing sites of high risk.
TO TURN DATA INTOCRUCIAL INFORMATION
CROWDSOURCED
INFORMATION
IMPROVED MAPS HISTORICAL RECORDSEARLY WARNING
FORECAST
SATELLITE DATA
I-REACT will leverage upon the
European Earth Observation
programme Copernicus that will be
a vital resource for I-REACT
mapping. Also, Sentinel-1 will
provide data to our automatic data
chain for flood mapping.
The European Flood danger
forecasts (EFAS), European hazard
fire maps (EFFIS) together with
seasonal weather forecast will be
integrated with local early warning
systems to deliver the most
accurate early warning forecast
possible.
Information from Social Media and
reporting from first responders and
citizens will add real-time in-field
information.
The use of drones (UAVs) and
wearables with the integration of
crowdsourced data with accurate
positioning will improve existing
maps and produce new nowcast
and forecast for emergency
response.
I-REACT will analyse available
historical data about past
emergencies and also store all
data generated within the
platform to improve future
emergencies response.
SOCIAL MEDIA
DATA STREAMS
UNMANNED AERIAL VEHICLES
SEASONAL
WEATHER FORECAST
EARTH OBSERVATIONS
PREPAREDNESSPREVENTION RESPONSE
INTEGRATION OF
EXISTING SYSTEMS
HISTORIAL DATA
CITIZENS
FIRST RESPONDERS
AUTHORITIES
DATA PRODUCTS BIG DATA INTEGRATION TECHNOLOGIES STAKEHOLDERS
DECISSION SUPPORT SYSTEM
PROFESSIONAL APP
GNSS WEARABLE AUGMENTED REALITY
SMARTPHONE APP
WEB INTERFACES
I-REACTOR
I-REACT IN A NUTSHELL
.
A HEAT WAVE FORECAST
SYSTEM FOR EUROPE
• HeatWave: ´´three consecutive days of over-
threshold maximum temperature´´
• Model: Heat Wave Magnitude Index (Russo, 2015)
• Daily maximum temperatures
• 30 years historical data
• 14 days forecast
• Every day measured temperature
• A new FBK Module for iReact
• 25 km resolution
Russo, Simone and Sillmann, Jana and Fischer, Enrich M. (2015). Top ten European heatwaves since 1950 and
their occurrence in the coming decades. Environmental Research Letters, vol. 10, no. 12.
THIS SUMMER LUCIFER HEAT WAVE
STRUCK EUROPE31/7 – 9/8 2017
FORECAST OF 02-08-2017 DURING LUCIFER
+ 1 day + 3 day + 5 day
Tool for emergency alert warnings, because it takes in consideration
the complete duration and intensity of heat waves with a valid
forecast of 14 days.
Applicable also on a local level for emergency warning alerts and for
adaptive strategies.
GEODATASCIENCE IN TRENTINO
• From Global EU models to a public repository of
all/best climatic data of interest for climate
change
• Enabling research and new applications
climatlas.fbk.eu
DATA
3.5 millions of measures
60 stations in total (38 Meteotrentino, 22 FEM)
daily data series starting from 1921
Going towards
100 years
of data!
• FBK infrastructure distributed on
two dedicated servers
• Migrating to virtual machines at
Datacenter InfoTN
• Stack software 100% open source
UNDER THE HOOD
IReact for climate change: predictive mapping
Annuale
Inverno
Primavera
Estate
Autunno
Gennaio
Febbraio
Marzo
Aprile
Maggio
Giugno
Luglio
Agosto
Settembre
Ottobre
Novembre
Dicembre
Climatic maps report the
monthly, annual and seasonal
distribution of TEMPERATURE
for the three climatic
reference periods 1961-1990,
1971-2000 and 1981-2010
Spatial algorithm:
Optimal Interpolation
Resolution: 200 x 200 m
THANK YOU
Gabriele Franch
Contact: franch@fbk.eu

More Related Content

PDF
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...
PDF
FLARECAST - Das Automatische Vorhersagesystem für Sonnenflares
PPT
European Forest Fire Information System (EFFIS)
PDF
DISCOVERY DAY 2017: MAKE IT HAPPEN!
 
PDF
Copernicus market report_11_2016
PDF
Copernicus and its evolution H2020
PDF
ADOpresentation.lv20150714
PDF
Joint GWP CEE/DMCSEE training: From monitoring to end users - introduction by...
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...
FLARECAST - Das Automatische Vorhersagesystem für Sonnenflares
European Forest Fire Information System (EFFIS)
DISCOVERY DAY 2017: MAKE IT HAPPEN!
 
Copernicus market report_11_2016
Copernicus and its evolution H2020
ADOpresentation.lv20150714
Joint GWP CEE/DMCSEE training: From monitoring to end users - introduction by...

What's hot (19)

PDF
Working with climate data
PDF
Wildfire-Workshop-Presentation-Jesus-San-Miguel
PDF
Salzburg2014 keynote2 staudinger
PDF
Wildfire-Workshop-Presentation-Gavriil-Xanthopoulos
PDF
OECD Workshop “Assessing the socio-economic losses and damages from climate c...
PPT
Pan_European and pan-African Early Warning on Floods and Droughts: From the E...
PPTX
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
PDF
Progresses on the Global Solar and Wind Atlas, Data Quality Information Frame...
PDF
Upcoming Datasets: Global wind map, Jake Badger ( Risoe DTU)
DOCX
Data Mining Fire Incidents in a City
PPTX
Global Atlas for Renewable Energy - application to Mauritania
PDF
Drought monitoring and early warning in the MENA region: The ICBA contributio...
PPTX
готтфрид конечный
PPTX
EXPLORE EARTH by John J. Murray | TROPICS Applications Workshop II, February ...
PDF
Master thesis 1 page summary_Thai Hoa
PDF
14a Conferenza Nazionale di Statistica
PDF
Vala, Francisco - The integration of geospatial data with statistical data to...
PDF
Sources of climate data ma
PPTX
14a Conferenza Nazionale di Statistica
Working with climate data
Wildfire-Workshop-Presentation-Jesus-San-Miguel
Salzburg2014 keynote2 staudinger
Wildfire-Workshop-Presentation-Gavriil-Xanthopoulos
OECD Workshop “Assessing the socio-economic losses and damages from climate c...
Pan_European and pan-African Early Warning on Floods and Droughts: From the E...
Estimating the Impact of Agriculture on the Environment of Catalunya by means...
Progresses on the Global Solar and Wind Atlas, Data Quality Information Frame...
Upcoming Datasets: Global wind map, Jake Badger ( Risoe DTU)
Data Mining Fire Incidents in a City
Global Atlas for Renewable Energy - application to Mauritania
Drought monitoring and early warning in the MENA region: The ICBA contributio...
готтфрид конечный
EXPLORE EARTH by John J. Murray | TROPICS Applications Workshop II, February ...
Master thesis 1 page summary_Thai Hoa
14a Conferenza Nazionale di Statistica
Vala, Francisco - The integration of geospatial data with statistical data to...
Sources of climate data ma
14a Conferenza Nazionale di Statistica
Ad

Similar to IReact for climate change: predictive mapping (20)

PDF
EENA 2018 - Integrating emergency management data coming from multiple source...
PDF
EENA 2018 - Weather-related emergencies
PDF
EENA 2018 - Mapping Emergencies & Disasters
PDF
EENA 2018 - Weather-related emergencies
PDF
SC7 Workshop 1: Space Data For Secure Societies (An Introduction to Copernicus)
PDF
Oscar Zepeda Ramos : Atlas national des risques au mexique
PDF
Summer Heat Risk Index: how to integrate recent climatic changes and soil ...
PDF
Examples of EC support to climate smart agriculture
PPTX
2011 ISCRAM Summer School Tom De Groeve
PPTX
Global Disaster Alert and Coordination System
ODP
Free GIS Software meets zoonotic diseases: From raw data to ecological indica...
PDF
Development of a Java-based application for environmental remote sensing data...
PPT
4.3 Pour la gestion des risques
PPTX
Copernicus Status
PDF
CNR at NSE2019
PPTX
MINNI_ENEA_mihaela_mircea
PPT
An Open Source GIS System for Earthquake Early Warning and Post-Event Emergen...
PPTX
Soluzioni space-based per la sostenibilità
PPT
Francoise Benichou, Lessons Learned From France Vigilance System
PPTX
Module 10 - Section 6 ICTs for climate change adaptation 20110904
EENA 2018 - Integrating emergency management data coming from multiple source...
EENA 2018 - Weather-related emergencies
EENA 2018 - Mapping Emergencies & Disasters
EENA 2018 - Weather-related emergencies
SC7 Workshop 1: Space Data For Secure Societies (An Introduction to Copernicus)
Oscar Zepeda Ramos : Atlas national des risques au mexique
Summer Heat Risk Index: how to integrate recent climatic changes and soil ...
Examples of EC support to climate smart agriculture
2011 ISCRAM Summer School Tom De Groeve
Global Disaster Alert and Coordination System
Free GIS Software meets zoonotic diseases: From raw data to ecological indica...
Development of a Java-based application for environmental remote sensing data...
4.3 Pour la gestion des risques
Copernicus Status
CNR at NSE2019
MINNI_ENEA_mihaela_mircea
An Open Source GIS System for Earthquake Early Warning and Post-Event Emergen...
Soluzioni space-based per la sostenibilità
Francoise Benichou, Lessons Learned From France Vigilance System
Module 10 - Section 6 ICTs for climate change adaptation 20110904
Ad

More from Speck&Tech (20)

PDF
Predicting the unpredictable: re-engineering recommendation algorithms for fr...
PDF
Persuasive AI: risks and opportunities in the age of digital debate
PDF
Fai da te ed elettricità, con la bobina di Tesla!
PDF
DIY ed elettronica ai tempi dell’università
PDF
Sotto il letto, sopra il cloud: costruirsi un’infrastruttura da zero
PDF
Verze e diamanti: oltre le nanotecnologie
PDF
Respira, sei in Trentino! Monitorare l'invisibile
PDF
Cognitive Robotics: from Babies to Robots and AI
PDF
Edge AI: Bringing Intelligence to Embedded Devices
PDF
Genere e gioco da tavolo: il caso di "Free to Choose"
PDF
SPaRKLE: un rivelatore compatto di radiazioni spaziali, realizzato dagli stud...
PDF
Il ruolo degli stati alterati di coscienza e degli psichedelici nella terapia
PDF
Unity3D: Things you need to know to get started
PDF
Learning from Biometric Fingerprints to prevent Cyber Security Threats
PDF
How do we program a God? - Do the Androids dream of the electric sheep?
PDF
The bad, the ugly and the weird about IoT
PDF
Arduino is Hardware, Software, IoT and Community
PDF
Computational privacy: balancing privacy and utility in the digital era
PDF
Il trucco c'è (e si vede) - Beatrice Mautino
PDF
ScrapeGraphAI: AI-powered web scraping, reso facile con l'open source
Predicting the unpredictable: re-engineering recommendation algorithms for fr...
Persuasive AI: risks and opportunities in the age of digital debate
Fai da te ed elettricità, con la bobina di Tesla!
DIY ed elettronica ai tempi dell’università
Sotto il letto, sopra il cloud: costruirsi un’infrastruttura da zero
Verze e diamanti: oltre le nanotecnologie
Respira, sei in Trentino! Monitorare l'invisibile
Cognitive Robotics: from Babies to Robots and AI
Edge AI: Bringing Intelligence to Embedded Devices
Genere e gioco da tavolo: il caso di "Free to Choose"
SPaRKLE: un rivelatore compatto di radiazioni spaziali, realizzato dagli stud...
Il ruolo degli stati alterati di coscienza e degli psichedelici nella terapia
Unity3D: Things you need to know to get started
Learning from Biometric Fingerprints to prevent Cyber Security Threats
How do we program a God? - Do the Androids dream of the electric sheep?
The bad, the ugly and the weird about IoT
Arduino is Hardware, Software, IoT and Community
Computational privacy: balancing privacy and utility in the digital era
Il trucco c'è (e si vede) - Beatrice Mautino
ScrapeGraphAI: AI-powered web scraping, reso facile con l'open source

Recently uploaded (20)

PPTX
Pollution, it's Types and Impacts on Global context.pptx
PPTX
sustainable-development in tech-ppt[1].pptx
DOCX
Double Membrane Roofs for Cassava Wastewater Treatment Captures biogas from i...
PPTX
Lecture-05-Audio-lingual. Method & Appro
DOCX
The Ripple Effect: Understanding Extreme Weather Patterns and Geomagnetic Dyn...
DOCX
Double Membrane Roofs for Digester Tank Wastewater Treatment Integral to biog...
PPTX
he document discusses solid waste management. It defines different types of s...
PPTX
Biodiversity of nature in environmental studies.pptx
PDF
The European Green Deal (EU Green Deal)
DOCX
Double Membrane Roofs for Agricultural Waste Biogas Digesters Turns various f...
PPTX
102602734019608717246081273460745534.pptx
DOCX
Biogas Balloon for Bio CNG Plants An efficient solution for biogas storage..docx
PPTX
Biodiversity PPT by Gaithanlung Gonmei.pptx
PDF
IWRM - City University Presentation 28 may 2018-v3.pdf
PDF
Cave Diggers Simplified cave survey methods and mapping
PPTX
Environmental pollutants for natural res
DOCX
Double Membrane Roofs for Biogas Tanks Securely store produced biogas.docx
PPTX
Untitled 1.pptxhhhhhhjjjbbbbb bikinis sis son ka s
PPTX
computer of health my name i d kussta lpaggyhsgd
DOCX
Double Membrane Roofs for Biomethane Storage Holds upgraded biomethane fuel.docx
Pollution, it's Types and Impacts on Global context.pptx
sustainable-development in tech-ppt[1].pptx
Double Membrane Roofs for Cassava Wastewater Treatment Captures biogas from i...
Lecture-05-Audio-lingual. Method & Appro
The Ripple Effect: Understanding Extreme Weather Patterns and Geomagnetic Dyn...
Double Membrane Roofs for Digester Tank Wastewater Treatment Integral to biog...
he document discusses solid waste management. It defines different types of s...
Biodiversity of nature in environmental studies.pptx
The European Green Deal (EU Green Deal)
Double Membrane Roofs for Agricultural Waste Biogas Digesters Turns various f...
102602734019608717246081273460745534.pptx
Biogas Balloon for Bio CNG Plants An efficient solution for biogas storage..docx
Biodiversity PPT by Gaithanlung Gonmei.pptx
IWRM - City University Presentation 28 may 2018-v3.pdf
Cave Diggers Simplified cave survey methods and mapping
Environmental pollutants for natural res
Double Membrane Roofs for Biogas Tanks Securely store produced biogas.docx
Untitled 1.pptxhhhhhhjjjbbbbb bikinis sis son ka s
computer of health my name i d kussta lpaggyhsgd
Double Membrane Roofs for Biomethane Storage Holds upgraded biomethane fuel.docx

IReact for climate change: predictive mapping

  • 1. i-React for Climate Change Gabriele Franch, Azra Alikadic, Andrea Gobbi, Cesare Furlanello FBK // MPBA
  • 2. EUROPE (1980-2013) 4,443 events 111,211 people killed 33,031,632 people affected 480,398,000,000 € economic damage FROM NATURAL HAZARDS TO DISASTERS
  • 3. 6.3 9 20 3 MILLION € COUNTRIES PARTNERS YEARS 2016 2017 2018 2019 FUNDED BY THE EUROPEAN COMMISSION. SECURITY WORK PROGRAMME (DRS-1-2015) 12 SME 3 RESEARCH CENTERS 2 Universities 2 Public Companies/ Institutes 1 UN Body Italy France Spain Germany Finland Austria United Kingdom Norway Serbia
  • 4. I-REACTOR DATA SOURCESAND MODELS EU & LOCAL EARLY WARNING SYSTEMS GEOSPATIAL RISK MODELS DECISION SUPPORT SYSTEM MODELS SEASONAL WEATHER FORECAST HISTORICAL DATA SOCIAL MEDIA DATA STREAMS CLIMATE CHANGE MODELS The European Flood danger forecasts (EFAS), European hazard fire maps (EFFIS) will be combined with local early warning systems. I-REACT will implement a system to extract valuable information about ongoing disasters from the messages published on Twitter. Hazard mapping services for floods, fires and heat waves will be combined with exposure and vulnerability to compute risk maps. I-REACT will create a decision support system to suggest to decision makers appropriate actions for disaster risk reduction. I-REACT will analyse available historical data about past emergencies and also store all data generated within the platform to improve future emergencies response. I-REACT will provide information of how average weather conditions are likely to evolve from 6 months (higher resolution) up to 9 months (lower resolution). To asses the long-term impact on floods and wildfires due to climate change, I-REACT models will provide an overview of the general trends and help establishing sites of high risk.
  • 5. TO TURN DATA INTOCRUCIAL INFORMATION CROWDSOURCED INFORMATION IMPROVED MAPS HISTORICAL RECORDSEARLY WARNING FORECAST SATELLITE DATA I-REACT will leverage upon the European Earth Observation programme Copernicus that will be a vital resource for I-REACT mapping. Also, Sentinel-1 will provide data to our automatic data chain for flood mapping. The European Flood danger forecasts (EFAS), European hazard fire maps (EFFIS) together with seasonal weather forecast will be integrated with local early warning systems to deliver the most accurate early warning forecast possible. Information from Social Media and reporting from first responders and citizens will add real-time in-field information. The use of drones (UAVs) and wearables with the integration of crowdsourced data with accurate positioning will improve existing maps and produce new nowcast and forecast for emergency response. I-REACT will analyse available historical data about past emergencies and also store all data generated within the platform to improve future emergencies response.
  • 6. SOCIAL MEDIA DATA STREAMS UNMANNED AERIAL VEHICLES SEASONAL WEATHER FORECAST EARTH OBSERVATIONS PREPAREDNESSPREVENTION RESPONSE INTEGRATION OF EXISTING SYSTEMS HISTORIAL DATA CITIZENS FIRST RESPONDERS AUTHORITIES DATA PRODUCTS BIG DATA INTEGRATION TECHNOLOGIES STAKEHOLDERS DECISSION SUPPORT SYSTEM PROFESSIONAL APP GNSS WEARABLE AUGMENTED REALITY SMARTPHONE APP WEB INTERFACES I-REACTOR
  • 7. I-REACT IN A NUTSHELL .
  • 8. A HEAT WAVE FORECAST SYSTEM FOR EUROPE • HeatWave: ´´three consecutive days of over- threshold maximum temperature´´ • Model: Heat Wave Magnitude Index (Russo, 2015) • Daily maximum temperatures • 30 years historical data • 14 days forecast • Every day measured temperature • A new FBK Module for iReact • 25 km resolution Russo, Simone and Sillmann, Jana and Fischer, Enrich M. (2015). Top ten European heatwaves since 1950 and their occurrence in the coming decades. Environmental Research Letters, vol. 10, no. 12.
  • 9. THIS SUMMER LUCIFER HEAT WAVE STRUCK EUROPE31/7 – 9/8 2017
  • 10. FORECAST OF 02-08-2017 DURING LUCIFER + 1 day + 3 day + 5 day
  • 11. Tool for emergency alert warnings, because it takes in consideration the complete duration and intensity of heat waves with a valid forecast of 14 days. Applicable also on a local level for emergency warning alerts and for adaptive strategies.
  • 12. GEODATASCIENCE IN TRENTINO • From Global EU models to a public repository of all/best climatic data of interest for climate change • Enabling research and new applications
  • 14. DATA 3.5 millions of measures 60 stations in total (38 Meteotrentino, 22 FEM) daily data series starting from 1921 Going towards 100 years of data!
  • 15. • FBK infrastructure distributed on two dedicated servers • Migrating to virtual machines at Datacenter InfoTN • Stack software 100% open source UNDER THE HOOD
  • 17. Annuale Inverno Primavera Estate Autunno Gennaio Febbraio Marzo Aprile Maggio Giugno Luglio Agosto Settembre Ottobre Novembre Dicembre Climatic maps report the monthly, annual and seasonal distribution of TEMPERATURE for the three climatic reference periods 1961-1990, 1971-2000 and 1981-2010 Spatial algorithm: Optimal Interpolation Resolution: 200 x 200 m