Using Data to Improve a Global Fire Model for Use in Climate Models - - PowerPoint PPT Presentation

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Using Data to Improve a Global Fire Model for Use in Climate Models - - PowerPoint PPT Presentation

Using Data to Improve a Global Fire Model for Use in Climate Models and ESMs Brian Magi 1,2 , Elena Shevliakova 1,2 , Sergey Malyshev 1,2 , Stephen Pacala 1 , Ronald Stouffer 2 1 Princeton University, Princeton, New Jersey, USA 2 NOAA Geophysical


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SLIDE 1

Using Data to Improve a Global Fire Model for Use in Climate Models and ESMs

Brian Magi1,2, Elena Shevliakova1,2, Sergey Malyshev1,2, Stephen Pacala1, Ronald Stouffer2

1Princeton University, Princeton, New Jersey, USA 2NOAA Geophysical Fluid Dynamics Lab (GFDL), Princeton, New Jersey, USA

Presentation at NOAA ESRL GMD Annual Conference, 18 May 2011

Photo by Ian Stewart (Hobart, Australia, October 2006)

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SLIDE 2

NOAA GFDL Earth System Model

source: John Dunne et al., 2011, in preparation.

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SLIDE 3

Fire as a Land-Atmosphere Process

fire climate atmosphere land

  • carbon cycle
  • surface albedo
  • vegetation cover
  • soil and sediment
  • trace gases
  • aerosol
  • air quality
  • thermodynamics
  • land cover change
  • vegetation type
  • radiative forcing
  • atmospheric circulation
  • meteorological conditions
  • availability of vegetation
  • ignition source
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SLIDE 4

Global Distribution of Fires As Seen From Satellite

Figure created using 2000-2009 thermal anomaly data from the MODIS instruments on the Terra and Aqua satellites (e.g. Giglio et al., 2006)

Fire counts (number/gridcell/year)

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SLIDE 5

Regional Aerosol Optical Depths from Model and Satellites

Model AM3 described by Donner et al., J. Climate, 2011; Satellite mean includes AOD products from Terra MODIS, Aqua MODIS, and Terra MISR.

Fire counts (number/gridcell/year)

South America Sahel Africa Southern Africa USA and Canada Siberia Model (GFDL AM3) Satellite Mean

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SLIDE 6

NOAA GFDL Land Model

Reference: Elena Shevliakova et al., 2009.

primary crop, pasture secondary

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SLIDE 7

Improving the Simulation of Fire in the Land Model

primary crop, pasture secondary

Reference: Elena Shevliakova et al., 2009.

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SLIDE 8

Fire Model Schematic

References: Magi et al., in preparation, 2011; OTD/LIS from NASA; HYDE3.1 described by Klein Goldewijk et al. 2010; YL2003 is Yevich and Logan, 2003; H2006 is Hurtt et al., 2006.

primary crop, pasture secondary climate ignition fire size deforestation burned area

constraints

  • satellite products
  • ground-based data
  • fire agency reports

inputs

  • lightning (OTD/LIS)
  • population density (HYDE)
  • meteorology (T, q, precip)
  • crop residue burning (YL2003)
  • land use (H2006)

burned area burned area burned area total burned area

climate ignition fire size residue

climate ignition fire size

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SLIDE 9

Annual Burned Area Simulated by the Fire Model

References: Fire Model described in Magi et al., in preparation, 2011; GFED3.1 burned area from Giglio et al., 2010. Other burned area products are L3JRC (Tansey et al., 2008), MODIS MCD45 (Roy et al., 2008), and GLOBCARBON (Plummer et al., 2006).

*1 Mha = 10,000 km2

Key Points

  • Spatial correlation with GFED3.1 is 0.61
  • Burned area simulated by the fire model is

within the range (285-408 Mha*) of satellite-based estimates from GFED3.1, L3JRC, GLOBCARBON, and MCD45

GFED3.1 (355 Mha*) fire model (411 Mha*)

Annual Burned Area (Mha)

r = 0.89

Fire Model Burned Area

r = 0.61

fraction of gridcell burned (0-1)

Years (2000-2009)

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SLIDE 10

Climate Driven Fires Agricultural Fires

J F M A M J J A S O N D

Month of Maximum Burned Area

Key Points

  • Tropical fire season peaks during the dry season, extratropical fire season during

the hottest months

  • Agricultural fire season in the tropics peaks close to the peak of the dry season
  • Agricultural fire season in the extratropics peaks prior to and following the

growing season

References: Magi et al., in preparation, 2011.

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SLIDE 11

Mean Monthly Burned Area Simulated by the Fire Model

Burned area (Mha/month) Months Months

GFED3.1 naturally-occuring GFED3.1 agricultural fire model total

References: Fire Model described in Magi et al., in preparation, 2011; GFED3.1 burned area from Giglio et al., 2010.

Northern Hemisphere Tropics Southern Hemisphere Tropics

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SLIDE 12

Mean Monthly Burned Area Simulated by the Fire Model

Burned area (Mha/month) Months Months

GFED3.1 naturally-occurring GFED3.1 agricultural fire model total

References: Fire Model described in Magi et al., in preparation, 2011; GFED3.1 burned area from Giglio et al., 2010.

Boreal North America Central Asia

(Ukraine to SE Russia)

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SLIDE 13

Fraction of Total Burned Area due to Agriculture

References: Magi et al., in preparation, 2011.

Key Point

  • Agricultural burning practices account

for 69% of the total burned area

* agriculture includes burned area from fires on cropland, pasture, and deforestation

fraction of burned area due to agriculture*

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SLIDE 14

Apportionment of Global Carbon Emissions from Fires

Key Points

  • Total emissions estimated at 2.8

PgC/year (GFED3.1 is about 2 PgC/year)

  • Unintentional fires account for
  • ver 50% of the carbon emissions
  • Burning of crop residue and

pastures account for 21-34% of global carbon emissions

  • Deforestation accounts for only

2% of total burned area, but 11%

  • f carbon emissions

References: Fire Model described in Magi et al., in preparation, 2011; GFED3.1 emissions from Van der Werf et al., 2010.

2.8 Pg C/year

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SLIDE 15

Conclusions

Summary: The improved fire model simulates seasonal fire as a mixture using empirical relationships, literature-based estimates, and parameter estimation Results from our mixture model 1. Present day fires are driven by climate, but are nearly entirely anthropogenic 2. Most of the anthropogenic burned area is due to agricultural practices 3. Agricultural fraction of total global burned area is 69%, while the fraction of total global emissions is about 45% 4. 11% of global emissions is from deforestation Future work on the fire model 1. Incorporation of the fire model as an interactive component in the GFDL Land Model and Earth System Model 2. Simulations of historical and future fire using land use scenarios and IPCC AR5 model output 3. Improve model of seasonal agricultural burning in different regions (China, India, southern Russia, Ukraine, Sub-Sahara Africa) 4. Improve model of deforestation

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SLIDE 16

Questions?

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Input and Datasets Used in the Fire Model

T, q, snow GFDL ESM2M Dunne et al., in prep, 2011 land use HYDE, SAGE Hurtt et al., 2006 precipitation GPCP, rain gauges, TRMM Sheffield et al., 2006 lightning OTD, LIS on TRMM LIS website population HYDE 3.1 Klein Goldewijk et al., 2010 crop use bottom-up analysis Yevich and Logan, 2003 burned area GFED 3.1 Giglio et al., 2010 fire reports NIFC, CIFFC, RFF agency reports on internet fire counts Terra and Aqua MODIS Giglio et al., 2006