smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and...

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Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b , Barry Gross a,b , Fred Moshary a,b ,Sam Ahmed a,b a NOAA-Cooperative Remote Sensing Science and Technology Center b Optical Remote Sensing Lab, Department of Electrical Engineering, The City College of New York AMERICAN METEOROLOGICAL SOCIETY 92 nd Annual Meeting New Orleans, January 22-26, 2012

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Page 1: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Smoke plume optical properties and transport observed by a multi-wavelength lidar,

sunphotometer and satellite

Lina Corderoa,b

Yonghua Wua,b, Barry Grossa,b, Fred Mosharya,b,Sam Ahmeda,b

a NOAA-Cooperative Remote Sensing Science and Technology Centerb Optical Remote Sensing Lab, Department of Electrical Engineering,

The City College of New York

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting

New Orleans, January 22-26, 2012

Page 2: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Outline

• Motivation

• Introduction

• Instrumentation

• Methodology

• Observation Results– Case: Aloft smoke plumes from Idaho/Montana forest fires on August

14~15, 2007. (Origin: US northwest, Range: 2~8 km altitude, Angstrom Exponent ~ 1.8)

• Conclusions

• Acknowledgments

2AMERICAN METEOROLOGICAL SOCIETY

92nd Annual Meeting

Page 3: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Motivation

• Large amounts of smoke aerosol can be injected into the atmosphere as a result of forest-fire and biomass burning.

• Observations indicate that aerosol plumes potentially modify cloud physical, chemical and optical properties1.

• Consequently, smoke plumes affect climate radiation, air quality and visibility in the regional and continental scale.

3

Fig. 1 - Plumes of smoke from wildfires in Mexico and Texas on April

27, 2011, captured by MODIS/Aqua satellite

1 Kaufman et al., 2005; Sassen et al., 2003, 2008

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting

Page 4: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Introduction

• Analyze the smoke plume optical characteristics and long-distance transport using a ground-based multi-wavelength lidar, a sunphotometer and satellite observations in the New York City area.

• Long-distance transport and origins of smoke plumes are illustrated by MODIS/Aqua satellite, CALIOP imageries and NOAA/HYSPLIT air backward trajectory analysis.

• Event:– Aloft smoke plumes from Idaho/Montana forest fires on August 14~15,

2007.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 4

Page 5: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Instrumentation

• Ground-based multi-wavelength elastic-Raman scattering lidar– Observe 2D vertical distribution of

aerosols at wavelengths: 1064-, 532- and 355-nm.

– Aerosol extinction and backscatter coefficient profiles (AOD).

– Derive Angstrom exponents (e.g. spectral dependence of aerosol extinction or backscatter) to discriminate smoke plumes from cloud and dust particles.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 5

Fig. 2 – Light Detection and Ranging System at the City College of New York

Page 6: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Instrumentation

• AERONET Cimel sun/sky radiometer (CE-318)– Obtain aerosol optical depth (AOD)

at 340~1020 nm by measuring the direct solar radiance wavelengths.

– Derive aerosol microphysics parameters (volume size distribution and refractive index) are inverted from sky radiance measurements.

– Fine-mode and coarse-mode aerosol optical depths from the spectral curvature of AOD.

– Constrain lidar-derived multi-wavelength extinction profiles of aerosol plumes with the column AOD.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 6

Fig. 3 – AERONET Cimel sun/sky radiometer at the City College of New York

Page 7: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Methodology

• Angstrom exponent profile can be estimated as:

– Small particles such as smoke aerosols have larger Angstrom exponent.

– Large particles such as dust, sea salt and thin cloud have small Angstrom exponent.

– Thus, it can be used to discriminate aerosol type.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 7

)/log(

)](/)(log[

21

21

Eq. 1 – Angstrom Exponent

Page 8: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

• Smoke plume vertical distribution and optical properties

Observation Results

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 8

11 12 13 14 15 16 17

2

4

6

8

10

12

Local time (hour)

Alti

tude

(km

)

2007 Aug14, Ln(Pz2) at 1064-nm

-2

-1

0

1

2

3

4

11 12 13 14

2

4

6

8

10

12

Local time (hour)

Alti

tud

e (

km)

2007 Aug15, Ln(Pz2) at 1064-nm

-2

-1

0

1

2

3

4

Arriving aerosol plume Two aerosol plumes

Lower plume mixes with PBL

Fig. 4 – Time-height cross section of range-corrected lidar returns at 1064-nm

Page 9: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

• Smoke plume vertical distribution and optical properties

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 9

0 0.2 0.4 0.6 0.8 10

2

4

6

8

10

Aerosol extinction coefficient (km-1)

Alti

tud

e (

km)

355

5321064

-1 0 1 2 3 4

Angstrom exponent

Ang.

0 0.2 0.4 0.6 0.8 10

2

4

6

8

Aerosol extinction coefficient (km-1)

Alti

tud

e (

km)

355

5321064

-1 0 1 2 3 4

Angstrom exponent

Ang

Large Angstrom exponents indicate fine particles domination

Aerosol multi-layer with homogeneous particle size

Fig. 5 – Aerosol extinction and Angstrom exponent profiles a) Aug 14, 16:30-16:45 and b) Aug 15, 13:35-13:50

Page 10: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

• Smoke plume column optical properties– Aerosol plume intrusion - AOD and Angstrom Exponent increase.

– Aerosol size distribution - Fine-mode volume dominance.

– AOD and Angstrom Exponent remain high on next day.

10-2

10-1

100

101

0

0.02

0.04

0.06

0.08

Radius (m)

dV(r)

/dln

(r) (

m3

/m

2)

sky-err=7.5%

sza=54

440

=0.69

Observation Results

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 10

10 12 14 16 180

0.2

0.4

0.6

0.8

1

Local time (hr)

AO

D-5

00

20070814 AERONET CCNY-site

10 12 14 16 180

0.5

1

1.5

2

2.5A

ngst

rom

exp

.

Total

FineCoarse

Ang.

10 11 12 13 140

0.2

0.4

0.6

0.8

1

Local time (hr)

AOD

-500

20070815 AERONET CCNY-site

10 11 12 13 140

0.5

1

1.5

2

2.5

Angs

trom

exp

.

Total

FineCoarse

Ang.

Fig. 6 – Aerosol optical depth, Angstrom exponent and particle size distribution (16:42 pm, Aug.14) observed by AERONET sunphotometer on Aug.14 and Aug.15, 2007

Page 11: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

• Smoke Plume Sources and Transport pathway– Large fires across the Northern Rockies in Idaho and Montana were

captured by MODIS/Aqua satellite at 2:00 pm on Aug.13, 2007. By August 15, the smoke plumes began to canvas the US northeast.

– NOAA-HYSPLIT shows the air mass traveled from Idaho/Montana forest fire area to the lidar site (~40-hour trip).

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 11

Fig. 7 - Satellite images showing smoke and fires area on August 13, 2007 (2pm), and NOAA-HYSPLIT trajectory

Page 12: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 12

Smoke-Plume Transport – GOES AOD

Page 13: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

• Smoke Plume Sources and Spatial distribution

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 13

30354045500

2

4

6

8

10

12

14

Latitude (N,deg)

Altitu

de

(km

)

20070815, 7:01:13~7:06:47 UTC (night), CALIPSO, tot.att.bs532 (log-scale,km-1)

-9

-8

-7

-6

-5

-4

-3

Smoke

Cloud

Fig. 8 - MODIS/Aqua image on 15 August, 2007 (Lines-D1, D2 and N1 are the CALISPO ground-tracks), CALIPSO-attenuated backscatter coefficients (track as shown by line-N1)

Fire-smoke source region

Smoke stripes with mid-level AOD

CALIPSO overpass nearby CCNY-lidar site

showing dense smoke plumes

Page 14: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

• Smoke Plume Sources and Spatial distribution

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 14

30354045500

2

4

6

8

10

12

14

Latitude (N,deg)

Altitude (

km

)

Feature Type: CAL-LID-L2-VFM-ValStage1-V3-01.2007-08-15T06-57-06ZN.hdf

0=invalid, 1=clear air, 2=cloud, 3=aerosol, 4=stratospheric feature,5=surface,6=subsurface,7=no signal

0

1

2

3

4

5

6

7

30354045500

2

4

6

8

10

12

14

Latitude (N,deg)

Alti

tude (

km)

Aerosol sub-type: CAL-LID-L2-VFM-ValStage1-V3-01.2007-08-15T06-57-06ZN.hdf

0=not-determ.,1=clean marine, 2=dust, 3=polluted conti.,4=clean conti.,5=polluted dust, 6=smoke,7=other

0

1

2

3

4

5

6

7

CALIPSO VFM products properly classify the layer as aerosol

CALIPSO VFM products further classify them as smoke

Fig. 9 – CALIPSO classification of aerosol/cloud

Page 15: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Observation Results

• Lidar-derived AOD apportionment and smoke influence on local air quality– Aloft smoke plumes intrusion into the PBL, probably resulting in a

significant increase in surface PM2.5 loadings

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 15

Fig. 10 - Time-height cross section of range-corrected lidar returns at 1064-nm and ground level PM 2.5 mass concentration at sites location in NYC nearby the lidar-site

08/13 08/14 08/15 08/16 08/17 08/18 08/190

10

20

30

40

50

60

70

80

Date (mm/dd)

PM

25 ( g

/m3)

PS274

PS154

Park-rowPS219

Freshkills

CCNY (lidar)

11 12 13 14

2

4

6

8

10

12

Local time (hour)

Altitu

de

(km

)

2007 Aug15, Ln(Pz2) at 1064-nm

-2

-1

0

1

2

3

4

Page 16: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Conclusions

• Smoke plumes optical properties and long-distance transport to the US east coast from US northwest are observed with the synergy measurements of ground-based multiple-wavelength elastic-Raman lidar, sun-photometer and satellite.

• High Angstrom exponents indicate the fine-mode dominated in the plumes layers (~1.8).

• The range-resolved lidar observations indicate that the elevated smoke plumes were entrained into the turbulent PBL, and the surface PM2.5 concentrations show the corresponding increasing trends.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 16

Page 17: Smoke plume optical properties and transport observed by a multi-wavelength lidar, sunphotometer and satellite Lina Cordero a,b Yonghua Wu a,b, Barry Gross

Acknowledgments

• This work is partially supported by the research projects of NOAA #NA17AE1625 and NASA #NCC-1-03009.

• Authors greatly appreciate the data from:– NASA-AERONET,

– NASA-MODIS observations,

– NASA-CALIPSO and DAAC

– NOAA-radiosonde,

– HYSPLIT data,

– Surface PM2.5 data from NYDEC.

AMERICAN METEOROLOGICAL SOCIETY92nd Annual Meeting 17