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Class presentation 16.2.2007 Applications of the Applications of the Helsinki Test Bed Helsinki Test Bed CL31 Ceilometer data CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric Sciences

Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

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Page 1: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

Class presentation 16.2.2007

Applications of the Helsinki Applications of the Helsinki Test Bed CL31 Ceilometer Test Bed CL31 Ceilometer

datadata

Anu-Maija Sundström

University of HelsinkiDivision of Atmospheric Sciences

Page 2: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

• ””Lidar in Aerosol Research”Lidar in Aerosol Research”

• FMI, Vaisala, University of Helsinki

• Funded by TEKES (the Finnish Funding

Agency for Technology) Jan 2005- Dec 2005

• Vaisala CL31 ceilometer at Kumpula Campus

• Two main topicsTwo main topics

1.1. Particles physical modeling

2. ”Ceilometer climatology” and relation to particle concentrations

BackgroundBackground

Page 3: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

Lidar measurementsLidar measurements• CL31 vertically pointing elastic backscatter lidar, operates at 910 nm wavelenght

• Lidar ”sees” everything within the measurement volume, i.e. air molecules, aerosols, and hydrometeors

• limitations to see very small particles

• To study only the aerosol contribution of the backscattered signal we need to exclude

• Rain data (also ice)

• The molecular scattering

A reliable rain data filtering method is needed

Page 4: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

• To test and improve the rain data filtering

method • threshold value in relative humidity

• present weather sensor

• threshold value in a vertical average of lidar backscattering

• threshold value in temporal variation of lidar backscattering

• To study the relation between PM10 concentrations and lidar backscattering at different locations

• E.g. how much the local effects affect results

ObjectivesObjectives

Page 5: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

From Test Bed:From Test Bed:

• CL31 backscattering profiles from various stations and

• Meteorological data (rain, wind)

• PM10 concentration

• Possibly also other profilers

Important issues:Important issues:

• CL31 device settings

• The metadata from the TB-stations

DataData

Page 6: Class presentation 16.2.2007 Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric

An ExampleAn Example

0

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1 3 5 7 9 11 13 15 17 19 21 23

Time [h]

PM

10 [

10-6

gm

-3]

Vallila Test Bed Station 20.8.2005, 1 h averages of PM10 concentrations

Temporal variation of modeled and measured backscattering coefficient at Kumpula 20.8.2005

• Vertical mixing ?

• What is the signal from Vallila CL31?

•...