Skip to main content

Table 1 Main characteristics of the European projection studies

From: Climate change impact on future wildfire danger and activity in southern Europe: a review

Reference

Spatial extent, location

Time periods1

Climate simulations

  

Climate-fire model

Projected fire metrics

   

Scenario

Models

Spatial resolution

Temporal resolution

 

1 Moriondo et al. 2006

Continental, southern Europe

1961–1990,

2071–2100

A2, B2

One RCM (HadRM3) driven by one GCM (HadCM3) (PRUDENCE project)

0.44°×0.44°

(~ 50 km)

Daily

FWI

Mean seasonal FWI, number of days above FWI threshold, fire season length

2 Bedia et al. 2014a

Continental, southern Europe

1971–2000,

2011–2040,

2041–2070,

2071–2100

A1B

6 RCM-GCM couplings driven by 2 GCMs (ENSEMBLES project)

25 km

Daily

FWI

Mean seasonal and 90th percentile FWI, number of days above FWI threshold, fire season length, SSR

3 Amatulli et al. 2013

Continental, EU-Med countries

1961–1990,

2071–2100

A2, B2

One RCM (HIRHAM) driven by one GCM (ECHAM) (PRUDENCE project)

50 km

Daily

Multivariate regression-type models for monthly

burnt area by country based on monthly FWI subcomponents

Annual burnt area by country, SSR

4 Turco et al. 2018

Continental, EU-Med countries

1971–2000,

+ 1.5, + 2,

+ 3 °C

RCP4.5, RCP8.5

9 simulations from 4 RCM and 5 GCM combinations (EUROCORDEX).

NUTS3 level

(~ 50 km)

Daily

Regression-type models for summer burnt area by administrative regions (NUTS3) based on a drought index (SPEI, standardized precipitation evapotranspiration index)

Changes in summer burnt areas for + 1 °C, + 2 °C and + 3 °C warming scenarios

5 Dury et al. 2011

Continental, Europe, including Scandinavia, Finland, Russia and Turkey

1981–2000,

2081–2100

A2

One GCM (Arpege-Climate)

0.5°×0.5°

(~55 km)

Daily2

CARAIB DVM with a fire module inspired by the fire algorithm developed by

Arora and Boer 2005

Annual burnt area

6 Migliavacca et al. 2013a

Continental, Europe, including Scandinavia, Finland, Russia and Turkey

1960–1990,

2010–2040,

2040–2070,

2070–2100

A1B

5 RCM-GCM couplings

(ENSEMBLES project)

0.25°×0.25°

(~ 25 km)

Daily

CLM DVM with a fire module inspired by the fire algorithm developed by

Arora and Boer 2005

Annual carbon fire emissions, annual burnt area, maps of fire occurrence probability and burnt area fraction

7 Wu et al. 2015

Continental, Europe,

including Scandinavia, Finland, Russia and Turkey

1981–2000,

2081–2100

RCP2.6, RCP8.5

4 ESM (CMIP5 experiment)

ESM outputs interpolated

to 0.5°×0.5°

(~ 55 km)

Daily2

Integrated fire-vegetation models, LPJ-GUESS-SIMFIRE and LPJmL-SPITFIRE

Annual burnt area

8 Khabarov et al. 2016

Continental, Europe, including Scandinavia, Finland, Russia and Turkey

2000–2008,

2026–2035,

2046–2055,

2086–2095

A2

3 GCM (CMIP3 experiment)

Not specified5

Monthly3

Same framework as Migliavacca et al. (2013a), with a standalone fire model calibrated for Europe

Annual burnt area

9 Chatry et al. 20104

National, France

1961–2008,

2031–2050,

2051–2070,

2081–2100

A1B, A2, B1

One GCM (Arpege-Climate)

50 km

(statistically

downscaled

to 8 km)

Daily

FWI

Annual FWI, number of days above FWI thresholds

10 Karali et al. 2014

National, Greece

1961–1990,

2021–2050

2071–2100

A1B

One RCM (RACMO2) driven

by one GCM (ECHAM5)

(ENSEMBLES project)

25 km

Daily

FWI

Number of days above FWI thresholds

11 Lozano et al. 2017

National, Italy, and Corsica (France)

1981–2010,

2011–2040,

2041–2070

A1B

One RCM (CMCC-CLM)

14 km

6 h

FFMC and DC (FWI system),

Randig (~FLAMMAP fire simulator)

Frequency distributions of FFMC and DC, mean values and maps of burn probability, flame length and fire size

12 Carvalho et al. 2010

National, Portugal

1980–1990

2071–2100

2 x CO2

(~ A2)

One RCM (HIRHAM)

12 and 25 km

Daily

FWI components, multivariate regression-type models for monthly fire number and burnt area based on monthly maximum temperature and FFMC

Monthly means of FFMC and FWI Annual fire number and burnt areas

13 Carvalho et al. 2011

National, Portugal

1981–2000,

2041–2060

Radiative forcing:

+ 3 W/m2 in 2050

(~RCP8.5)

One RCM (MM5) driven

by one GCM

(MUGCM)

10 km

Daily

FWI

Frequency distribution of FWI and its subcomponents

14 Vázquez de la Cueva et al. 2012

National, Spain

1961–1990,

2071–2100

A2, B2

One RCM (PROMES) driven by one GCM (PRUDENCE project)

50 km

Daily

A simple regression model for monthly fire number

and burnt area by ecozone based on one monthly temperature variable

Annual fire number and burnt area by ecozone

15 Vázquez et al. 2015

National, Spain

1974–2005,

2071–2100

A2, B2

–

–

–

Ratio values of fire activity by scenario and

by ecozone between future and present time slices, from Vázquez de la Cueva et al. 2012

Fire frequency and rotation period by woodland types

16 Sousa et al. 2015

National,

Portugal and Spain

1981–2001,

2001–2025,

2026–2050,

2051–2075

A1B

4 RCM-GCM couplings

(ENSEMBLES project)

25 km

Daily

Multivariate regression-type models for monthly burnt area by pyro-region based on monthly statistics of weather variables

Seasonal (summer, March) burnt area

17 Arca et al. 2012

National, Italy (FWI)

Regional, Sardinia

1961–1990,

2071–2100

A1B

One RCM (EBU-POM)

25 km

6 h

FWI, FlamMap fire simulator

Annual FWI, maps of mean burn probability

18 Faggian 2018

National, Italy

1971–2000,

2021–2050

A1B, RCP4.5, RCP8.5

One RCM from Med-CORDEX (for fire danger analysis)

12, 25 km

 

FWI

Number of fire danger days, SSR

19 Pellizzaro et al. 2010

Regional, Sardinia, Italy

1961–1990,

2071–2100

A1B

One RCM (likely EBU-POM, see Arca et al. 2012)

20 km

6 h

FFMC (FWI system)

Frequency distribution of FFMC

20 Kalabokidis et al. 2015

Regional, Greece

(3000 km2)

1961–1990, 2071–2100

A1B

One RCM (RACMO2) driven by one GCM (ECHAM5)

(ENSEMBLES project)

25 km

Daily

FWI, Randig (~FLAMMAP fire simulator)

Monthly FWI statistics, number of days with extreme fire danger. Maps of conditional burn probability and flame lengths, fire size distribution

21 Mitsopoulos et al. 2015

Local, Greece(160 km2)

1991–2000

2045–2055

2065–2075

2091–2100

A1B

One RCM (RACMO2) driven by one GCM (ECHAM5) (ENSEMBLES project)

25 km

Daily

FLAMMAP fire simulator, specific empirical fuel moisture model

Fire behaviour variables, including fire size

22 Loepfe et al. 2012

Three distinct areas

of 700–800 km2

in Catalonia, Spain

1968–2005,

2001–2100

A2, B1

One GCM (HadCM3)

Not relevant

Daily

Yearly maxima of FFMC, DC and FWI, FIRE LADY fire simulator

Annual fire number and burnt area

23 Turco et al. 2014

Regional,

Catalonia, Spain

Continuous,

1970–2050

A1B

11 RCM-GCM couplings (ENSEMBLES project)

25 km

Monthly

Multivariate regression-type models for summer fire number and burnt area based on coincident (summer) and antecedent monthly weather variables

Summer fire number and burnt area

  1. GCM global climate model, RCM regional climate model, ESM Earth system model
  2. 1A reference historical period and one or several future periods for change assessment
  3. 2Interpolation or stochastic generation from monthly GCM/ESM outputs
  4. 3Transformed to daily by adding monthly anomalies to historical daily data
  5. 4Chatry et al. (2010) used projection data from the technical report of Meteo-France (Clopet and Regimbeau 2009)