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Elaine M. Prins NOAA/NESDIS/ORA Advanced Satellite Products Team Madison, Wisconsin elaine.prins@ssec.wisc.edu Joleen M. - PowerPoint PPT Presentation


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Overview of the GOES Wildfire ABBA, Applications, and Future Plans GOFC/GOLD Global Geostationary Fire Monitoring Applications Workshop EUMETSAT, Darmstadt, Germany 23 March 2004. Elaine M. Prins NOAA/NESDIS/ORA Advanced Satellite Products Team Madison, Wisconsin

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slide1

Overview of the GOES Wildfire ABBA, Applications, and Future Plans

GOFC/GOLD Global Geostationary Fire Monitoring Applications Workshop

EUMETSAT, Darmstadt, Germany 23 March 2004

Elaine M. Prins

NOAA/NESDIS/ORA

Advanced Satellite Products Team

Madison, Wisconsin

elaine.prins@ssec.wisc.edu

Joleen M. Feltz

Christopher C. Schmidt

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

slide2

Overview

  • Brief overview of GOES Wildfire Automated Biomass Burning Algorithm (WF_ABBA) processing system
  • Examples of GOES WF_ABBA fire monitoring in the Western Hemisphere
  • Diurnal and geographic distribution of fires
  • Applications of the GOES WF_ABBA fire product - Land-cover/Land-use change - Global change- Emissions - Pollutant transport - Modeling
  • Future Plans
slide3

The GOES Wildfire Automated Biomass Burning Algorithm

  • (WF_ABBA)
  • Automatically locates and characterizes sub-pixel fires in GOES imagery
  • - The WF_ABBA uses GOES visible, 3.9 µm and 10.7 µm data and ancillary data to identify and characterize sub-pixel fires. - Contextual techniques are used to locate hot pixels that are statistically different from the background and assign fire pixel categories: (processed; saturated; cloudy; and high, medium and low probability fire pixels)
  • - Numerical techniques are used to determine instantaneous estimates of sub-pixel fire size and average temperature for the processed fire pixel category based on the Dozier technique.
  • Ancillary data used to augment the GOES data in finding and characterizing fires- These data help to screen for false alarms and correct for water vapor attenuation, surface emissivity, solar reflectivity, and semi-transparent clouds.
  • - The AVHRR-derived Global Land Cover Characteristics (GLCC) data base is used to assign surface emissivity values and helps screen for false alarms. - The Aviation Model total column precipitable water is utilized to correct for water vapor attenuation.
  • WF_ABBA fire product consists of:- ASCII text files, McIDAS MD and AREA files
  • - Alpha-blended composite imagery (http://cimss.ssec.wisc.edu/goes/burn/wfabba.html)
slide4

Overview of GOES WF_ABBA Processing 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

NESDIS Operations

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

slide5

University of Wisconsin-Madison CIMSS/ASPT

GOES-10/-12 Half-hourly Wildfire ABBA Web Distribution

http://cimss.ssec.wisc.edu/goes/burn/wfabba.html

Since September 2000 animations of Wildfire ABBA composite image products have been provided via anonymous ftp and the web every half-hour.

Displays include three overviews and 35 regional views providing coverage of the entire Western Hemisphere.

Examples of Regional View Sectors

slide6

Examples of the GOES Wildfire ABBA

Monitoring System in the Western Hemisphere

http://cimss.ssec.wisc.edu/goes/burn/wfabba.html

slide7

Fire Pixel Category

Processed

Saturated

Cloudy

High Possibility

Medium Possibility

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 (30-70°N): 12%

Central America (10-30°N): 11%

South America (70°S-10°N): 77%

The base map for this composite

image is derived from the

Global Land Cover Characteristics

database provided by the USGS

slide8

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

slide9

Satellite Coverage (%)

GOES Eclipse

& Keep-out Zone

Fire Pixel Category

High Possibility

Processed

Year 1 (Excluding Low Possibility)

Saturated

Medium Possibility

Year 2 (Excluding Low Possibility)

Low Possibility

Cloudy

Diurnal Distribution of GOES-8 WF_ABBA Filtered Fire Pixel Product

for the Western Hemisphere

Dates: 1 September 2001 – 31 August 31 2002

Geographical Distribution of the

GOES-8 WF_ABBA Filtered Fire Pixel Product for the Western Hemisphere

Dates: 1 September 2001 – 31 August 31 2002

slide10

WF_ABBA

Fire Pixel Category

Processed

Saturated

Cloudy

High Possibility

Medium Possibility

GOES-8 WF_ABBA Fire Product

Date: 1 June – 31 October 2002 Time: All half-hourly fire products

The base map for this composite

image is derived from the

Global Land Cover Characteristics

database provided by the USGS

slide11

GOES South American ABBA Fire Products Used in Land Use Land Cover Change, Climate Change, and Pollutant Transport Studies

Universities, research institutes, and government planning agencies are using the GOES ABBA fire product as an indicator of land-use and land-cover change and carbon dynamics along the borders between Brazil, Peru, and Bolivia.

Air pollution transport models and climate change modeling studies are using the GOES fire products to identify and “quantify” emissions due to biomass burning. Instruments such as EOS MOPITT are identifying enhanced pollution associated with biomass burning.

GOES-8 Wildfire ABBA Composite Fire Product for Western

Amazonia in Acre, Brazil Date: June – October, 2002

The MOPITT carbon monoxide composite is courtesy of the MOPITT team: John Gille (NCAR), James Drummond (University of Toronto), and David Edwards (NCAR)

slide12

Comparison between WF_ABBA Fire Observations and MOPITT CO ProductPacific Northwest United States

MOPITT Total Column CO: 25–27 August 2000

Smoke and cumulus from large fires

MOPITT

CO Max.

NorthDakota

Montana

Idaho

GOES-10 WF_ABBA Detected Fires: 20–27 August 2000

MOPITT carbon monoxide composite is courtesy of J. Warner (NCAR) and the MOPITT Science team

slide13

Applications of the GOES Wildfire ABBA in Modeling Programs

Real-time Assimilation into the Naval Research Laboratory

Navy Aerosol Analysis and Prediction System (NAAPS)

Real-time Assimilation at the University of Sao Paulo

and CPTEC/INPE into the RAMS model

RAMS

CO Product

RAMS

PM2.5 Product

GOES-8 WF_ABBA Fire Product

GOES WF_ABBA Fire Product

22 August 2003 at 17:45 UTC

NAAPS Smoke Optical Depth

22 August 2003 at 18:00 UTC

Point Sources for 13 August 2002

GOES-8 ABBA Fire and MACADA Cloud Products Used in

Study to Model and Predict Future Fire Activity at UNH

Collaboration with Univ. of New Hampshire Inst. for Study of Earth, Oceans, and Space

  • Other Modeling Efforts and Collaborations
  • Climate Modeling at NASA/GSFC: Assimilation into the GOCART model
  • Real-time Air Quality Modeling at NASA/Langley:Real-time assimilation into the RAQMS model as part of IDEA (Infusing satellite Data into Environmental Applications)
  • Fire Emissions and Regional Air Quality Modeling at NCAR: Assimilation into the U.S. EPA Community Multiscale Air Quality model in support of the 2002 SMOCC campaign in Brazil

Intermediate Deforestation Scenario

Predicted increase in future

regional fire activity: 22%

Number of Fire Pixels

Complete Deforestation Scenario

Predicted increase in future regional fire activity: 123%

Collaborations result in submission/publication of 3-peer reviewed publications in FY03

slide14

Rodeo/Chediski Complex in Arizona

2303 UTC

2307 UTC

2315 UTC

2320 UTC

Fire Detection Using Rapid Scan Imagery

Case Studies in the Western U.S. During the 2002 Fire Season

Using rapid scan GOES-11 data, the WF_ABBA was able to identify several wildfires in imagery near/at the initial reported start times during the 2002 fire season in the Western U.S.

Rodeo/Chediski Complex: Largest Wildfire in Arizona’s Recorded History

Size: > 480,000 acres

Cost: > $170 million

Start Date of Rodeo Fire:

18 June 2002

Official report time by suspected arsonist: 23:11 UTC

Initial detect in post-processed GOES-11 image: 23:07 UTC

UW-Madison/CIMSS/ASPT

slide15

International Global Geostationary Active Fire Monitoring:Geographical Coverage

80

120

160

-160

-120

-80

-40

0

40

80

GOES-W

GOES-E

MSG

MTSAT

60

Satellite

View Angle

80°

65°

40

20

0

-20

-40

-60

-80

322

slide16

Overview

  • The GOES WF_ABBA processing system has been providing half-hourly fire products for the Western Hemisphere since September 2000. Made operational in NESDIS OSDPD/SSD in August 2002.
  • In the Western Hemisphere GOES WF_ABBA fire products are providing new insights into diurnal, spatial, seasonal and interannual biomass burning activity.
  • User community includes: hazards, global change, land-use land-cover change, aerosol/pollutant monitoring and modeling, carbon cycle studies, socio-economic and health, educational institutions, policy makers, and the general web community
  • Future plans - Implement a Rapid Scan WF_ABBA for hazards applications, with products available within 5 minutes - Adapt GOES WF_ABBA to GOES-9 - Adapt GOES WF_ABBA to MSG

- Adapt GOES WF_ABBA to MTSAT-1R - Transfer global WF_ABBA to NESDIS Operations - Participate in multi-sensor validation and intercomparison studies - Get ready for the next generation geostationary platform (ABI)