Remote-sensing of the environment (RSE)

AATTMMOOSS

Design of a radar control and signal processor unit for the TARA radar

BAP afstudeerprojectYann Dufournet

First meeting

AATTMMOOSS

DelftUniversity ofTechnology

2Remote-sensing of the environment (RSE)

Presentation of the Project team

• Enzo den Engelsen

• Ester Stienstra

• Jeroen Hendrikus Franciscus van Gemert

• Martijn Janssen

• Satoshi Malotaux

• Vinay Suraj Niddha

• Yann Dufournet

• Tobias Otto

• Christine Unal

• Simone Placidi

• Fred van der Zwan

Students Supervisors

AATTMMOOSS

DelftUniversity ofTechnology

3Remote-sensing of the environment (RSE)

The ATMOS-RSE group (TU Delft)

•People: Herman Russchenberg• Permanent staff: Christine Unal, Yann Dufournet• Post-Doc: Tobias Otto• PhD’s: Christine Brandau, Simone Placidi + Master

students• Technicians : Fred van der Zwan and Paul Hakkaart

•Topic: Atmospheric Remote-sensing

•Website : atmos.irctr.tudelft.nl•Blog: atmos.weblog.tudelft.nl

radar

- Radar technical development

- Signal processing

- atmospheric applications

AATTMMOOSS

DelftUniversity ofTechnology

4Remote-sensing of the environment (RSE)

Area of research

Water clouds

Precipitation

Ice / mixed-phase clouds

Cloud dynamic

Cloud system

Ground-based observations

Satellite observations

StudiesMicrophysics of particles

present in the cloud system

+Motion of the

particles - dynamic

Christine B.

Simone

Yann

Tobias

Christine U.

Christine U.

Simone

AATTMMOOSS

DelftUniversity ofTechnology

5Remote-sensing of the environment (RSE)

Cloud description

Cloud compositi

on

Water droplets

Pristine ice

crystals

aggregates

Graupel / hail

100 μmTiny particles

AATTMMOOSS

DelftUniversity ofTechnology

6Remote-sensing of the environment (RSE)

Cloud effects on weather

Heavy rainfall

flooding

Storms - lightening

AATTMMOOSS

DelftUniversity ofTechnology

7Remote-sensing of the environment (RSE)

Cloud effects on Climate

Impacts on solar and Earth radiations

Cloud coverage ~ 70 %

Impacts not assessed yet!

Need observations

AATTMMOOSS

DelftUniversity ofTechnology

8Remote-sensing of the environment (RSE)

Cloud observation

Shape / habit : ( )w D D

Density :l

e kD

Relative permittivity :1 2

1eff

air

cF

cF

2ice air

ice air

F

particleice

ice

c

Terminal fall velocity :2

2

2b

ta

a mD gv

D A

Dw

Oblate particles

orientation

phase

particle size distribution

Macrophysical properties: cloud height, thickness

+ cloud system dynamic

AATTMMOOSS

DelftUniversity ofTechnology

9Remote-sensing of the environment (RSE)

Challenge of atmospheric observation

12 k

m

Den Haag

Difficult to currently get proper

microphysical information

size

+ moving targets!

AATTMMOOSS

DelftUniversity ofTechnology

10Remote-sensing of the environment (RSE)

CESAR observatory – Cabauw location

AATTMMOOSS

DelftUniversity ofTechnology

11Remote-sensing of the environment (RSE)

CESAR observatory – Cabauw site

Ground-based remote-sensing

IDRA

Overview from the tower (2002)

Radiation sensors

Weather sensors

Wind profiler

radars

lidar

radiometers

213 m tower TARA

Satellites

AATTMMOOSS

DelftUniversity ofTechnology

12Remote-sensing of the environment (RSE)

The advanced atmospheric IRCTR radars

12 m

TARA (S Band) IDRA (X Band)

Profiling radar

radar

radar

scanning radar

transmitterreceiver

time

hei

gh

t

X

Y

Y X

AATTMMOOSS

DelftUniversity ofTechnology

13Remote-sensing of the environment (RSE)

Specificity of IRCTR radars

Radar resolution

volume

Horizontal polarization Vertical polarization

Improvement of atmospheric particles observations !!

FF + fd

Ability to measure axis ratio using dual

polarizations

Ability to measure fall velocity using Doppler

effect

Cloud particle

AATTMMOOSS

DelftUniversity ofTechnology

14Remote-sensing of the environment (RSE)

CloudyprecipitationClear sky

Rad

ar p

roce

ssin

g

BAP project: main goal

TARA

Time

Time

Reflectivity [dBZ]

Mean radial velocity [m.s-1]

Current time

AATTMMOOSS

DelftUniversity ofTechnology

15Remote-sensing of the environment (RSE)

Main goal of the project

Control radar

Processing dataAcquiring data

Data visualisation and storage

Radar control unit for real time processing

Large amount of information

AATTMMOOSS

DelftUniversity ofTechnology

16Remote-sensing of the environment (RSE)

Main needs

Radar control unit for real time processing

-International scientific community

- improving cloud resolving model algorithms

- standard radar data dissemination during measurement campaign

- cities (e.g. Rotterdam)

- climate: standard radar data dissemination during monitoring period in Cabauw

Applications• Easy new processing implementation within different radars

• international use (data format + transfer)

• clear interface and visualization

• real time (for campaign and monitoring)

AATTMMOOSS

DelftUniversity ofTechnology

17Remote-sensing of the environment (RSE)

Tools and facilities available

Control radar

Processing dataAcquiring data

Data vizualisation and storage

Radar control unit for real time processing

Supervising team

Fred van der Zwan

Tobias Otto

Simone Placidi

Tobias OttoChristine Unal

Yann Dufournet

ATMOS room computers + processing software

Visit CESAR supersite (CABAUW)

Tests on the TARA radars

AATTMMOOSS

DelftUniversity ofTechnology

18Remote-sensing of the environment (RSE)

Expectation and Future tasks

•Expectations: Self-initiative, team work, intense communication between students and supervisors.

•Writing business plan•Next meeting: end of March

• Technical introduction of the project + sub-group formation•Start of the project: April 18th•Mid-term symposium: compulsory for students!•24 June: ‘Grande Finale’

AATTMMOOSS

DelftUniversity ofTechnology

19Remote-sensing of the environment (RSE)

Questions ?