FLAM

The wildfire climate impacts and adaptation model (FLAM) is used to reproduce historical and to project future burned areas, as well as to assess climate change impacts and adaptation options.

FLAM logo

FLAM logo

About FLAM

The wildFire cLimate impacts and Adaptation Model (FLAM) is able to capture complex interactions among burned areas, climate, population, and fuel availability. FLAM uses a process-based fire parameterization algorithm that was originally developed to link a fire model with dynamic global vegetation models. The key features implemented in FLAM include fuel moisture computation based on the Canadian Fine Fuel Moisture Code (FFMC) index, and a procedure to calibrate regional fire suppression efficiency.

FAST FACTS

    • FLAM (former SFM) was calibrated and verified for Europe using the most recent publicly available datasets, European Forest Fire Information System (EFFIS) and Global Fire Emissions Database (GFED).
    • The annual burned areas modelled by FLAM for European countries are in good agreement with historical observations.
    • FLAM has been used for evaluating adaptation options under different climate scenarios in Europe.

How FLAM works

FLAM is based on a state-of-the-art large scale mechanistic fire modelling algorithm. Currently FLAM operates on a European scale with a daily time step and a spatial resolution of 25×25 km. All inputs in the FLAM are adjusted to fit this resolution. The FLAM uses daily climate data for temperature, precipitation, wind, and relative humidity. When calculating the human ignition probability, a gridded population density is used. Fuel available for burning is defined as a combination of litter and coarse woody debris (CWD) pools, excluding stem biomass. The fire suppression efficiency is implemented in FLAM as the probability of extinguishing a fire on a given day.

Wild Forest Fire

© Julian W | Dreamstime.com

FLAM Schematic


Print this page

Last edited: 27 October 2016

CONTACT DETAILS

Nikolay Khabarov

Research Scholar

Ecosystems Services and Management

T +43(0) 2236 807 346

Andrey Krasovskii

Research Scholar

Ecosystems Services and Management

T +43(0) 2236 807 390

OPTIONS: FEATURE ARTICLES

RELATED MODELS, TOOLS, DATABASES

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313