CREST Lidar Network (CLN)

CREST Lidar Network (CLN)

CREST Lidar network (formally denoted as REALM) is comprised of lidar facilities at 4 US campuses partially supported by the NOAA CREST Cooperative Center

CCNY – New York City Area (Barry Gross / Fred Moshary)

UMBC- Baltimore Area (Ray Hoff) Hampton U. – Virginia (Pat McCormick) UPRM- Mayaguez Puerto Rico (Hamed Parsiani)

CREST Lidar network (formally denoted as REALM) is comprised of lidar facilities at 4 US campuses partially supported by the NOAA CREST Cooperative Center

CCNY – New York City Area (Barry Gross / Fred Moshary)

UMBC- Baltimore Area (Ray Hoff) Hampton U. – Virginia (Pat McCormick) UPRM- Mayaguez Puerto Rico (Hamed Parsiani)

2nd Galion Workshop Sept 21, 2010 Geneva Switzerland

CCNY Lidar and ancillary Ground-based facilities

CCNY Lidar and ancillary Ground-based facilities

A multi-wavelength Raman-Mie lidar (1064,532,355,387,407-nm)

Vertical distribution of aerosol, cloud and water vapor,

Angstrom exponent, Lidar-ratio, PBL-height;

3-day/week in the urban area.

A CIMEL sun-photometer (AERONET site co-located with the lidar)

Aerosol optical depth (AOD) at 340~1020nm + 1630 channel, Angstrom exponent,

Inversion data (volume size distribution,refractive index).

Radiometrics Microwave Radiometer (~60-mile away, downwind direction)

Profiles of T, RH, PWV, LW to 10 km (50-200m resolution)

A multi-wavelength Raman-Mie lidar (1064,532,355,387,407-nm)

Vertical distribution of aerosol, cloud and water vapor,

Angstrom exponent, Lidar-ratio, PBL-height;

3-day/week in the urban area.

A CIMEL sun-photometer (AERONET site co-located with the lidar)

Aerosol optical depth (AOD) at 340~1020nm + 1630 channel, Angstrom exponent,

Inversion data (volume size distribution,refractive index).

Radiometrics Microwave Radiometer (~60-mile away, downwind direction)

Profiles of T, RH, PWV, LW to 10 km (50-200m resolution)

CCNY multi-wavelength Raman-Mie lidar

• Three laser-beams: 1064/532/355-nm simutaneously • Five-receiving channels: 3 elastic + 2 Raman channels (387-407 nm) • Laser power: 9W@355-nm, Telescope: Φ50-cm• Regular obs., 3-day/week in the urban area.• Additional Goal: N2-Raman at 607-nm (2α+3β for aerosol microphysics). Data access from Earlinet Database can be used to test algorithms

Collection statistics Last 4 years

Collection statistics Last 4 years

0

2

4

6

8

10

12

1 2 3 4 5 6 7 8 9 10 11 12

2007

2008

2009

2010

Based on > 6 Hours observation criteriaObvious Increase in data collection in summer: FAA Req need Human Observers

Runs try to follow Galion MWTH schedule weather permitting

CCNY Lidar Sample Scientific Activities

CCNY Lidar Sample Scientific Activities

Assessing Calipso RetrievalsVertical ProfilesAerosol ClassificationPBL heights from Caliop Layer Product

Exploration of PBL Height Dynamics / Assessment of Urbanized Meteorological Models (i.e uWRF)

Assessing Calipso RetrievalsVertical ProfilesAerosol ClassificationPBL heights from Caliop Layer Product

Exploration of PBL Height Dynamics / Assessment of Urbanized Meteorological Models (i.e uWRF)

CALIPSO ground tracks near CCNY-lidar site

Lidar

10-4

10-3

10-2

10-1

100

0

1

2

3

4

5

6

7

8

Aerosol extinction coefficient (km-1)

Altitu

de

(km

)

2006-07-27, CALIPSO and CCNY-lidar, =532-nm

CALIPSOCCNY-Lidar

0 5 10 15 20 250

0.5

1

1.5

2

2.5

3

PB

L he

ight

(km

)

Day

CCNY-Lidar

CALIPSO

0 0.5 1 1.5 2 2.50

0.5

1

1.5

2

2.5

CA

LIP

SO

-PB

L (

km)

CCNY-Lidar PBL (km)

R=0.828

Testing Aerosol classificationTesting Aerosol classification

11 12 13 14

1

2

3

4

5

6

7

8

9

Local time (hour)

Alti

tude (

km)

2007-08-15, CCNY-Lidar, Log(e) of range-corrected returns at 1064-nm

-6

-4

-2

0

2

4

6

11 12 13 14

1

2

3

4

5

6

7

8

9

Local time (hour)

Alti

tude (

km)

2007-08-15, CCNY-Lidar, Log(e) of range-corrected returns at 1064-nm

-6

-4

-2

0

2

4

6

0 0.2 0.4 0.6 0.8 1 1.2 1.40

1

2

3

4

5

6

7

8

9

Aerosol extinction coefficient (km-1

)

Alti

tude (

km)

3555321064

0 1 2 3 4

0

1

2

3

4

5

6

7

8

9

Angstrom exponent

Ang

0 0.2 0.4 0.6 0.8 1 1.2 1.40

1

2

3

4

5

6

7

8

9

Aerosol extinction coefficient (km-1

)

Alti

tude (

km)

3555321064

0 1 2 3 4

0

1

2

3

4

5

6

7

8

9

Angstrom exponent

Ang

3032343638404244460

2

4

6

8

10

12

Latitude (N,deg)

Alti

tude

(km

)

2007-08-15 (early mor.) CALIPSO-Level1-5km-res., tot-att-bs532

-9

-8

-7

-6

-5

-4

-3

Ground-based lidar observation

Aerosol plume

CALIOP/CALIPSO Obsevations of Alaska Fire Smoke Plumes

Aerosol plumeCloud

High Angstrom exponent

3032343638404244460

2

4

6

8

10

12

Latitude (N,deg)

Alti

tude

(km

)

Aerosol sub-type: CAL-LID-L2-VFM-Prov-V2-01.2007-08-15T06-57-06ZN.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

Comparisons of WRF / uWRF Mixing Layer with CCNY Lidar Comparisons of WRF / uWRF Mixing Layer with CCNY Lidar

uWRF vs Lidar Mixing Height

See convective layer but Residual layers not captured.

A trend is seen in summer convective cases where WRF seems to overestimateand prematurely trigger convective growth. Overestimation of Turbulent Kinetic Energy (TKE) by underestimating urban roughness scales. uWRF overestimates the urban roughness

time EST

altit

ude

met

ers

extinction profile 072610

0 5 10 15 200

500

1000

1500

2000

2500

3000

3500

4000

0

0.005

0.01

0.015

0.02

0.025

0.03

0.035

0.04

0.045

0.05WRF Mixing HeightuWRF Mixing HeightLidar

time EST

altit

ude

met

ers

Water Vapor profile 072610

0 5 10 15 200

500

1000

1500

2000

2500

3000

3500

4000

1

2

3

4

5

6

7

8

9

10WRF Mixing HeightuWRF Mixing HeightLidar

September 21, 2010

GALION Workshop Presentation

Profiling air pollution over Baltimore

“A Baltimore Testbed or An Air Quality Proving

Ground”

Profiling air pollution over Baltimore

“A Baltimore Testbed or An Air Quality Proving

Ground”Ray Hoff Kevin McCann

Tim Berkoff Ruben DelgadoHai Zhang Amy Huff (Battelle)

Patricia Sawamura Daniel Orozco

Ray Hoff Kevin McCann Tim Berkoff Ruben Delgado

Hai Zhang Amy Huff (Battelle)Patricia Sawamura Daniel Orozco

Areas of ResearchAreas of Research Understanding optical properties of

atmospheric aerosols and gases in a suburban environment

Understanding satellite retrievals of these chemicals and the relationship between column and profile measurements

Calibrating the remote sensing measurements with in-situ ground measurements

Understanding the impact of aerosols on human health

Of specific interest here is providing a reference site within GALION for intercomparing commercial technologies that can be exported

Understanding optical properties of atmospheric aerosols and gases in a suburban environment

Understanding satellite retrievals of these chemicals and the relationship between column and profile measurements

Calibrating the remote sensing measurements with in-situ ground measurements

Understanding the impact of aerosols on human health

Of specific interest here is providing a reference site within GALION for intercomparing commercial technologies that can be exported

Before 2008Before 2008

ALEX - UV N2, H2O Raman lidar - 355, 389, 407 nmELF - 532(,), 1064 elastic lidar

GALION needsGALION needsQA/QC site for lidars in USHave all the wavelengths that people

might use routinelyAbility to cross-calibrate instrumentsDecided to add MPL (532nm) and

LEOSPHERE (355nm) with NASA support

QA/QC site for lidars in USHave all the wavelengths that people

might use routinelyAbility to cross-calibrate instrumentsDecided to add MPL (532nm) and

LEOSPHERE (355nm) with NASA support

New instrumentsNew instrumentsBAM and TEOM (PM2.5

continuously)TSI 3683 (3 nephelometer)CIMEL (8 AOD, size distribution)LICEL (new detector package for

ALEX)

BAM and TEOM (PM2.5 continuously)

TSI 3683 (3 nephelometer)CIMEL (8 AOD, size distribution)LICEL (new detector package for

ALEX)

UMBC Monitoring of Atmospheric Pollution (UMAP)

(NASA Supported Project)

UMBC Monitoring of Atmospheric Pollution (UMAP)

(NASA Supported Project)

http://alg.umbc.edu/UMAP

Weblinksto instruments

Data availableData available

Sept. 2, 2009 IntercomparisonSept. 2, 2009 Intercomparison

ELF

Leosphere

Smoke

Leosphere - ELF Sept. 02, 2009 intercomparison

Leosphere - ELF Sept. 02, 2009 intercomparison

Sa = 56 sr-1

355 nm 532 nm

?

Note : Differences in Profile structure :This led UMBC to develop an independent extinction retrieval on Leosphere which Ray Hoff will talk about tomorrow

Hampton Lidar and Activities

Hampton Lidar and Activities

48-inch lidar 0.355, 0.532, and 1.064 µm. These measurements are being used as

correlative measurements for the CALIPSO Spacecraft lidar backscatter measurements at 0.532 µm and 1.064 µm.

Recently, the lidar was upgraded to obtain vibrational Raman backscattering measurements of tropospheric water vapor mixing ratios with two additional detectors at 0.4075 and 0.3867 µm.

Preliminary measurements indicate that the lidar can provide useful water vapor mixing ratios to about 12 km at night and 4 km during daytime.

48-inch lidar 0.355, 0.532, and 1.064 µm. These measurements are being used as

correlative measurements for the CALIPSO Spacecraft lidar backscatter measurements at 0.532 µm and 1.064 µm.

Recently, the lidar was upgraded to obtain vibrational Raman backscattering measurements of tropospheric water vapor mixing ratios with two additional detectors at 0.4075 and 0.3867 µm.

Preliminary measurements indicate that the lidar can provide useful water vapor mixing ratios to about 12 km at night and 4 km during daytime.

CCNY, UMBC and Hampton Activities are increasing coordination

UPRM Lidar ActivitiesUPRM Lidar Activities

Newest ImplementationImportant location in capturing

different aerosol types Urban / Maritime mixingSaharan Dust PlumesWorking on getting multwavelength

system following CCNY Model

Newest ImplementationImportant location in capturing

different aerosol types Urban / Maritime mixingSaharan Dust PlumesWorking on getting multwavelength

system following CCNY Model

S Ratio based on closure with AOD from AERONET

AOD 532 =.21 (include AOD =.04 contributionto account for non-overlap