A
T
M
O
S
Design of a radar control and signal
processor unit for the TARA radar
First meeting
BAP afstudeerproject
Yann Dufournet
Remote-sensing of the environment (RSE)
A
T
M
O
S
Presentation of the Project team
Students
Supervisors
• Enzo den Engelsen
• Yann Dufournet
• Ester Stienstra
• Tobias Otto
• Jeroen Hendrikus
Franciscus van Gemert
• Christine Unal
• Martijn Janssen
• Simone Placidi
• Fred van der Zwan
• Satoshi Malotaux
• Vinay Suraj Niddha
Delft
University of
Technology
Remote-sensing of the environment (RSE)
2
A
T
M
O
S
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
•Website : atmos.irctr.tudelft.nl
•Blog: atmos.weblog.tudelft.nl
• Topic: Atmospheric Remote-sensing
- Radar technical development
- Signal processing
- atmospheric applications
Delft
University of
Technology
radar
Remote-sensing of the environment (RSE)
3
A
T
M
O
S
Area of research
Cloud system
Satellite observations
Yann
Simone
Ice / mixed-phase
clouds
Water
clouds
Studies
Christine B.
Simone
Precipitation
Cloud
dynamic
Tobias
Christine U.
Ground-based observations
Christine U.
Delft
University of
Technology
Remote-sensing of the environment (RSE)
Microphysics
of particles
present in the
cloud system
+
Motion of the
particles dynamic
4
A
T
M
O
S
Cloud description
aggregates
Pristine ice
crystals
Cloud
composition
100 μm
Tiny particles
Water
droplets
Delft
University of
Technology
Remote-sensing of the environment (RSE)
Graupel / hail
5
A
T
M
O
S
Cloud effects on weather
Heavy rainfall
Storms lightening
flooding
Delft
University of
Technology
Remote-sensing of the environment (RSE)
6
A
T
M
O
S
Cloud effects on Climate
Cloud coverage ~ 70 %
Impacts on solar and
Earth radiations
Impacts not assessed yet!
Need observations
Delft
University of
Technology
Remote-sensing of the environment (RSE)
7
A
T
M
O
S
Cloud observation
Macrophysical properties: cloud height, thickness
phase
Density :
Relative permittivity :
 eff 1  2cF

 air 1  cF
e  kDl
F
w
orientation
Terminal fall velocity :
Delft
University of
Technology
 particle

ice ice
 ice   air
 ice  2 air
D
particle
size
Oblate
particles
a  2mD 2 g 
vt 


D   a 2 A 
c
distribution
Shape / habit :
w( D)   D
b
+ cloud system dynamic
Remote-sensing of the environment (RSE)
8
A
T
M
O
S
Challenge of atmospheric observation
Den
Haag
size
+ moving targets!
Difficult to currently
get proper
microphysical
information
Delft
University of
Technology
Remote-sensing of the environment (RSE)
9
A
T
M
O
S
CESAR observatory – Cabauw location
Delft
University of
Technology
Remote-sensing of the environment (RSE)
10
A
T
M
O
S
CESAR observatory – Cabauw site
Satellites
IDRA
Weather
sensors
213 m
tower
Radiation
sensors
lidar
Wind
profiler
TARA
radars
radiometers
Overview from
the tower (2002)
Delft
University of
Technology
Remote-sensing of the environment (RSE)
Ground-based
remote-sensing
11
A
T
M
O
S
The advanced atmospheric IRCTR radars
TARA (S Band)
receiver
IDRA (X Band)
transmitter
12 m
Profiling
radar
scanning
radar
height
radar
Y
Y
time
radar
Delft
University of
Technology
X
Remote-sensing of the environment (RSE)
X
12
A
T
M
O
S
Specificity of IRCTR radars
Cloud
particle
Radar
resolution
volume
F
F + fd
Horizontal polarization
Vertical polarization
Ability to measure axis ratio
using dual polarizations
Ability to measure fall velocity
using Doppler effect
Improvement of atmospheric particles observations !!
Delft
University of
Technology
Remote-sensing of the environment (RSE)
13
BAP project: main goal
Time
Current time
precipitation
Clear
Cloudy
sky
TARA
Reflectivity [dBZ]
Radar processing
A
T
M
O
S
Delft
University of
Technology
Mean radial velocity [m.s-1]
Remote-sensing of the environment (RSE)
Time
14
A
T
M
O
S
Main goal of the project
Large amount of
information
Control
radar
Acquiring data
Processing
data
Data visualisation
and storage
Radar control unit for real time processing
Delft
University of
Technology
Remote-sensing of the environment (RSE)
15
A
T
M
O
S
Main needs
Applications
-International scientific community
- improving cloud resolving
model algorithms
• Easy new processing
implementation within different
radars
• international use (data format +
transfer)
- standard radar data
dissemination during
measurement campaign
- cities (e.g. Rotterdam)
• clear interface and visualization
- climate: standard radar data
dissemination during monitoring
period in Cabauw
• real time (for campaign and
monitoring)
Radar control unit for real time processing
Delft
University of
Technology
Remote-sensing of the environment (RSE)
16
A
T
M
O Visit CESAR supersite (CABAUW)
S
Tools and facilities available
 ATMOS room computers + processing software
 Tests on the TARA radars
 Supervising team
Fred van der Zwan
Simone Placidi
Christine Unal
Tobias Otto
Control
radar
Acquiring data
Processing
data
Tobias Otto
Data vizualisation
and storage
Yann Dufournet
Radar control unit for real time processing
Delft
University of
Technology
Remote-sensing of the environment (RSE)
17
A
T
M
O
S
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’
Delft
University of
Technology
Remote-sensing of the environment (RSE)
18
A
T
M
O
S
Questions ?
Delft
University of
Technology
Remote-sensing of the environment (RSE)
19