Latest Updates and Research on Fire Radiative Energy Products - - PowerPoint PPT Presentation

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Latest Updates and Research on Fire Radiative Energy Products - - PowerPoint PPT Presentation

Oct 27, 2023 453 likes •601 views

Latest Updates and Research on Fire Radiative Energy Products Presented by Martin Wooster

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SLIDE 1
  • Latest Updates and Research on Fire

Radiative Energy Products

Environmental Monitoring and Modelling Research Group,

  • Dept. of Geography, King’s College London, UK.

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Slide contributions from many others… Presented by Martin Wooster (Kings College London, UK) Wilfrid Schroeder (Univ. of Maryland, USA)

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SLIDE 2

FRP Products

[NRT Operational] [NRT Operational]

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SLIDE 3

Operational SEVIRI FRP_Pixel Product

Global product generated from FRP pixel derived for different dates only as a visual example

4 Processing Regions

  • N. Africa
  • S. Africa

Europe South America

  • FRP Pixel Product (native spatial/temporal resolution) – available within 30 mins
  • FRP Gridded product - inc. adjustments for “small fires” and “clouds” also available.

Available via FTP/EUMETCast from the EUMETSAT Land Surface Analysis Satellite Application Facility (LSA SAF)

http://landsaf.meteo.pt/

  • for data, ATBD, Product User Manual & Validation Report
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SLIDE 4

QUALITY FLAG coding

SEVIRI FRP_Pixel – Quality Product

Two HDF files for each slot

  • “List Product”- Fire Data only
  • Matching “Quality Product”

reports the processing status

  • f each pixel – Fire Detected &

FRP measured, cloud-covered,

FRP_Pixel Quality Product File

VALUE MEANING

  • 0 NOT POT FIRE

1 FRP OK 2 FRP SAT 3 CLOUDY 4 SUN GLINT 5 SUN GLINT RATIO 6 NO BCK 7 BAD BCK 8 CLOUD EDGE 254 NOT PROCESSED

FRP measured, cloud-covered, etc.

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SLIDE 5

GOES FRP Product (America’s)

GOES W

July 2007

  • N. America

GOES E

  • Available on request in NRT from KCL now (users ECMWF and Met Office Currently)
  • End of next year should be available from LSA SAF
  • S. America
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SLIDE 6

Expected Global Geostationary System

Meteosat: Operational via LSA SAF GOES-E: Future operational currently generated @ KCL but available to users GOES-W: Future operational currently generated @ KCL but available to users FY2: Future operational @ CMA currently prototyped @ KCL MTSAT: Maybe future

  • perational

currently prototyped @ KCL + Meteosat Third Generation (2017+) will have:

  • improved temporal resolution
  • 2 km spatial resolution (SSP)
  • wide range 3.9 µm band.

Non-Optimum 3.9 µm channel data quality Non-Optimum 3.9 µm channel dynamic range

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SLIDE 7

Global FRP and Atmospheric

Global Fire Assimilation System (GFAS)

Global FRP and Atmospheric Emissions Dataset

[NRT Operational and Reanalysis]

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SLIDE 8

FRP to Fire Emissions

Operational deployment of FRP product via EUMETSAT LSA SAF: http://landsaf.meteo.pt/ Combined with MODIS FRP - then used to model fire chemical emissions in prototype GMES Atmospheric Core Service @ ECMWF

http://www.gmes-atmosphere.eu/

Modelled CO Biomass Burning Tracer Observed Global FRP Areal Density

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SLIDE 9

TERRA NUMBER OF MODIS OSBERVATIONS FRP Areal Density

Global Fire Assimilation System (GFAS v1)

TERRA AQUA

Part of the EU FP7 Monitoring Atmospheric Chemistry and Climate (MACC) Project: Products @ www.gmes-atmosphere.eu Kaiser et al. (2011) www.biogeosciences-discuss.net/8/7339/2011/bgd-8-7339-2011.html

AOD FRP Areal Density Fuel Consumption Rate (g[C] m-2 d-1)

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SLIDE 10

Mean Annual Fuel Consumption 2003-2009

GFED3.1 GFAS1.0

DM burned [g DM m-2 year-1] Global Total: 4.0 Pg year-1 Global Total: 4.9 EJ year-1

[Spatial Patterns and Ratio]

FRE [kJ m-2 year-1] DM burned [g DM m-2 year-1] CF GFED3.1/GFAS1.0 [g kJ-1]

GFED3.1 DM estimates 2.2 times higher than GFAS1.0 DME globally GFED3.1 notably higher in the boreal belt and in the tropics GFAS1.0 higher in NH temperate regions GFAS1.0 greater spatial extent

  • f areas affected by fire

FRE [kJ m-2 year-1] Global Mean Ratio: 0.81

CFW: 0.368 g kJ-1

CFW-DM equivalent (DME): 1.8 Pg year-1

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SLIDE 11

Effective fuel-type dependent CF scaled to GFED3.1

200 400 600 800 Tg or PJ month-1

GFED3.1 [Tg] GFAS1.0 [PJ]

Derivation of conversion factors (CF) from linearly regressing monthly GFED3.1 DM with GFAS1.0 FRE

SAOM SA AGOM AG

M month-1)

5 10 15 20 25 30 100 200 300 400 500 100 200 300 400 500 5 10 15 20 25 30 5 10 15 20 25 30 5 10 15 20 25 30

CFW: 0.368 g kJ-1

Predominant Fuel Class

Linear Regres. SA AG DF EF SAOM AGOM PEAT EFOM ALL R2 86% 58% 55% 50% 77% 54% 57% 86% 74% Slope

[g kJ-1]

0.78 0.29 0.96 0.49 0.26 0.13 5.87 1.55 0.85 200 2003 2004 2005 2006 2007 2008 2009 Year

PE TF EFOM EF

MODIS-FRE (PJ month-1) GFED3 DM (Tg DM

5 5 10 15 20 25 30 5 5 10 15 20 25 30 100 200 300 100 200 300 100 200 300 100 200 300 100 200 300 100 200 300 10 20 30 40 10 20 30 40

Kaiser et al. (2011) www.biogeosciences-discuss.net

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SLIDE 12

GFED3.1 Non-Detection Areas 2003-2009 Areas where GFAS1.0 shows Burning but GFED3.1 not

GFAS1.0 GFAS1.0

Frequent Fires in Croplands or Savannah

33% of grid cells with GFAS1.0 fire observations not detected by GFED3.1:

  • typically low fuel consumption (< 2.7 kJ m-2 year-1)
  • repeated small fires in savanna, deforestation and agricultural areas
  • contribute < 3% to global FRE

Only 0.1% of grid cells with GFED3.1 fire observations not detected by GFAS1.0

N monthly fire observations [months] FRE [kJ m-2 year-1]

10% 5% 36% 9% 1% 39% 0.5%

SA DF EF AG

www.biogeosciences-discuss.net/8/7339/2011/bgd-8-7339-2011.html

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SLIDE 13

Next Step: SEVIRI to MODIS Merging