Elaine M. Prins

1
Plan for GOES-9 Wildfire ABBA Fire Monitoring and
Data Access For Southeast Asia GOFC-Fire S.E.
Asia Regional Workshop, January 21, 2003
Fukuoka, Japan
Elaine M. Prins NOAA/NESDIS/ORA Advanced
Satellite Products Team Madison,
Wisconsin elaine.prins_at_ssec.wisc.edu Chris C.
Schmidt Joleen M. Feltz UW-Madison Cooperative
Institute for Meteorological Satellite Studies
National Oceanic and Atmospheric Administration
(NOAA) Advanced Satellite Products Team (ASPT)
UW-Madison Cooperative Institute for
Meteorological Satellite Studies (CIMSS)
National Aeronautics and Space Administration
2
Activation of GOES-9 Over the Western Pacific

• In April 2003 the GOES-9 will be made
  operational over the Western Pacific at as a
  replacement for GMS-5 until MTSAT-1R is launched
  in 2003 and activated.
• GOES-9 will be located at 155ºE providing fire
  detection throughout the region with excellent
  coverage of the Western Pacific, Southeast Asia
  and Australia.
• The final scanning schedule of the GOES-9 Imager
  will be determined in collaboration with the JMA.
  It will include at least 1 full disk per hour
  plus additional scans, including smaller sectors
  at select time periods.
• GOES-9 Imagery will be available via GVAR Direct
  Readout and via DOMSAT.

3
Timeline Station Change of the GOES-9
GOES9 Drift, 0.80 deg/day (125 days)
Imaging via Fairbanks 21-meter
Imaging via Wallops
TC Fairbanks 13-meter
TC via Wallops
Eclipse Season
(Critical commanding)
Suspend imaging At 128 deg W Transition to
13m Support
FCDA GS OTE
Dec
Feb
Mar
Jan
May
Apr
G9 Return to Normal On-Orbit G9 N/S G9 Start
Drift
Stop maneuver 205 W third week In April
WCDA (Wallops) to FCDA (Fairbanks) Handover Befor
e 135 W
Operations Start April 1 190 W
Timeline courtesy of T. Renkevens
NOAA/NESDIS/OSDPD
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Overview of GOES-9 Fire Monitoring Capabilities
for SE Asia
Fire Monitoring Characteristics

• Oversampling in the East/West direction with a
  sub-sampled res of 2.3x4.0 km provides a better
  opportunity to capture an entire fire within a
  fov.
• High temporal resolution every hour
• GOES-8 band 2 has a saturation temperature of 324
  K.This may result in numerous non-fire
  saturation points during peak heating hours.
• Fire size detectability limits with a fire
  temperature of 750KEquator .15 ha 50N
  .32 ha

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The Basics of GOES Satellite Infrared Fire
Detection
Pixel
(Example from South America)
6

• Overview of Current Wildfire Automated Biomass
  Burning Algorithm System
• WF_ABBA algorithm in McIDAS Environment -
  Automated (DELL 900 mhz dual proc., Linux, BASH
  scripts)
• Part I Identify and log all remotely
  possible fire pixels
• - Input
• - GOES multiband (vis, 4 micron, 11
  micron) McIDAS areas - Aviation model
  forecast in McIDAS grid format -
  Ecosystem McIDAS area (AVHRR GLCC)
• - Transmittance offset lookup table
  ASCII file
• - Output
• - Files (McIDAS MD and ASCII)
  documenting any remotely
• possible fires
• lat., lon., T4, T11, Tb4, Tb11,
  ecosystem, other variables

Part II Screen/filter fire pixels,
account for oversampling,
temporal filtering, create output fire pixel
images, and log results
- Input - Output ASCII file from
Part I - GOES single band McIDAS areas
- Output - Files (McIDAS
MD and ASCII) documenting processed, saturated,
cloudy, and all possible fires
lat., lon., T4, T11, Tb4, Tb11, estimates of fire
size/temp, ecosystem type, and bookkeeping
variables - McIDAS areas with fire
pixels identified B.
Generation of alpha-blended composite fire
products - Automated (BASH scripts) -
Series of McIDAS commands, programs, and scripts
C. Dissemination of data and imagery via
anonymous ftp and animations on the web -
Automated
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Implementation of a Real-Time Geostationary
Diurnal Fire Product for the Western Pacific

• Prior to the activation of GOES-9 in April
  2003, UW-Madison CIMSS will modify the GOES-8/-10
  WF_ABBA for application with GOES-9 using GOES-9
  data collected during the December 2001 January
  2002 checkout period.
• Once GOES-9 is activated over the Western
  Pacific at 155ºE, further modifications will be
  made to the GOES-9 WF_ABBA taking into
  consideration the biomes within the operational
  domain. The GOES-9 WF_ABBA fire product will be
  compared with other regional fire products and
  available ground truth.
• The GOES-8/GOES-10 WF_ABBA processing system
  will be revised to allow automated GOES-9 image
  processing and fire product data distribution.
• GOES-9 multi-spectral Imager data will be
  acquired from the UW-Madison SSEC Data Center in
  GVAR format in real-time.
• UW-Madison CIMSS will provide half-hourly GOES
  WF_ABBA fire products via the web and anonymous
  ftp in real time for the duration of the GOES-9
  activation over the Western Pacific.
• This activity will help to prepare for the
  implementation of a MTSAT-1R fire product and a
  global geostationary fire monitoring system.

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International Global Geostationary Active Fire
MonitoringGeographical Coverage
80
120
160
0
-40
-80
-120
-160
40
GOES-E
GOES-W
MSG
MTSAT
80
60
Satellite View Angle 80 65
40
20
0
-20
-40
-60
-80
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The GOES-9 Wildfire ABBA Processing System will
provide fire products similar to those currently
produced in real time with the GOES-8/-10 data
for North, Central, and South America Examples
and applications are provided from the GOES-8/-10
WF-ABBA in the following slides.
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GOES-8/-10 Half-hourly Wildfire Automated
Biomass Burning Algorithm (WF_ABBA) Web
Distribution Online Since September 2000
Examples of Regional View Sectors
Animations of Wildfire ABBA composite image
products are being provided via anonymous ftp and
the web every half-hour at http//cimss.ssec.wisc
.edu/goes/burn/wfabba.html Displays include
three overviews and 35 regional views providing
coverage of the entire Western Hemisphere.
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The GOES WF_ABBA Monitored the Rapid
Intensification of Wildfires During the 2002
Fire Season in the Western U.S.
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GOES-8 Wildfire ABBA Summary Composite of
Filtered Half-Hourly Fire Observations for the
Western Hemisphere Time Period September 1,
2001 to August 31, 2002
The composite shows the much higher incidence
of burning in Central and South America,
primarily associated with deforestation and
agricultural management. Fire
Pixel Distribution North America
(30-70N) 12 Central America
(10-30N) 11 South America
(70S-10N) 77
The base map for this composite image is derived
from the Global Land Cover Characteristics databas
e provided by the USGS
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GOES-8 Wildfire ABBA Filtered Fire
Pixel Difference Composite For the Western
Hemisphere
Yellow indicates fire pixels only detected in the
first year September 2000 August 2001 Red
indicates fire pixels only detected in the second
year September 2001 August 2002
NOAA/NESDIS/ORA ASPT UW-Madison CIMSS
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Comparisons of Agricultural Burning and Wildfires
in Argentina in Austral Summer 2001 and 2002
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Comparison of GOES ABBA Fire Observations and the
EOS MOPITT CO Product
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Comparison between WF_ABBA Fire Observations and
MOPITT CO ProductArgentina Cerrado Fires
MOPITT Total Column CO 13 January 2001
MOPITT CO Max
Smoke Pall
GOES-8 WF_ABBA Detected Fires 17 January 2001
MOPITT carbon monoxide composite is courtesy of
J. Warner (NCAR) and the MOPITT Science team
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Real-time Assimilation of the Wildfire ABBA Fire
Products into the NAAPS Model To Diagnose and
Predict Aerosol Extent and Transport
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Real-Time Model Assimilation of the GOES-8
Wildfire ABBA (WF_ABBA) Fire Product at the
University of Sao Paulo, Brazil
In South America, GOES-8 WF_ABBA fire products
are assimilated into the Regional Atmospheric
Modeling System (RAMS, CSU-USA) in real-time to
diagnose the transport of biomass burning
emissions of carbon monoxide and PM2.5. (Freitas
and Longo, University of Sao Paulo)
Modeled CO at surface for 13 August 2002 at 12 UTC
GOES WF_ABBA Fire Product Point Sources for 13
August 2002
Emissions based on WF_ABBA (kg CO/m2 sec)
Modeled PM2.5 (int. column) for 13 August 2002 at
12 UTC
Imagery courtesy of S. Freitas and K. Longo, USP