1. Remote-sensing of the environment (RSE) ATMOS Design of a radar control and signal processor unit for the TARA radar BAP afstudeerproject Yann Dufournet First meeting

2. ATMOS Delft University of Technology 2 Remote-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

3. ATMOS Delft University of Technology 3 Remote-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

4. ATMOS Delft University of Technology 4 Remote-sensing of the environment (RSE) Area of research Water clouds Precipitation Ice / mixed-phase clouds Cloud dynamic Cloud system Ground-based observations Satellite observations Studies Microphysics of particles present in the cloud system + Motion of the particles - dynamic Christine B. Simone Yann Tobias Christine U. Simone

5. ATMOS Delft University of Technology 5 Remote-sensing of the environment (RSE) Cloud description Cloud composition Water droplets Pristine ice crystals aggregates Graupel / hail 100 μm Tiny particles

6. ATMOS Delft University of Technology 6 Remote-sensing of the environment (RSE) Cloud effects on weather Heavy rainfall flooding Storms - lightening

7. ATMOS Delft University of Technology 7 Remote-sensing of the environment (RSE) Cloud effects on Climate Impacts on solar and Earth radiations Cloud coverage ~ 70 % Impacts not assessed yet! Need observations

8. ATMOS Delft University of Technology 8 Remote-sensing of the environment (RSE) Cloud observation Shape / habit : Density : Relative permittivity : Terminal fall velocity : D w Oblate particles orientation phase particle size distribution Macrophysical properties: cloud height, thickness + cloud system dynamic

9. ATMOS Delft University of Technology 9 Remote-sensing of the environment (RSE) Challenge of atmospheric observation 12 km Den Haag Difficult to currently get proper microphysical information size + moving targets!

10. ATMOS Delft University of Technology 10 Remote-sensing of the environment (RSE) CESAR observatory – Cabauw location

11. ATMOS Delft University of Technology 11 Remote-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

12. ATMOS Delft University of Technology 12 Remote-sensing of the environment (RSE) The advanced atmospheric IRCTR radars 12 m TARA (S Band)IDRA (X Band) Profiling radar radar scanning radar transmitter receiver time height X Y Y X

13. ATMOS Delft University of Technology 13 Remote-sensing of the environment (RSE) Specificity of IRCTR radars Radar resolution volume Horizontal polarization Vertical polarization Improvement of atmospheric particles observations !! F F + f d Ability to measure axis ratio using dual polarizations Ability to measure fall velocity using Doppler effect Cloud particle

14. ATMOS Delft University of Technology 14 Remote-sensing of the environment (RSE) CloudyprecipitationClear sky Radar processing BAP project: main goal TARA Time Reflectivity [dBZ] Mean radial velocity [m.s-1] Current time

15. ATMOS Delft University of Technology 15 Remote-sensing of the environment (RSE) Main goal of the project Control radar Processing data Acquiring data Data visualisation and storage Radar control unit for real time processing Large amount of information

16. ATMOS Delft University of Technology 16 Remote-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)

17. ATMOS Delft University of Technology 17 Remote-sensing of the environment (RSE) Tools and facilities available Control radar Processing data Acquiring data Data vizualisation and storage Radar control unit for real time processing  Supervising team Fred van der Zwan Tobias Otto Simone Placidi Tobias Otto Christine Unal Yann Dufournet  ATMOS room computers + processing software  Visit CESAR supersite (CABAUW)  Tests on the TARA radars

18. ATMOS Delft University of Technology 18 Remote-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’

19. ATMOS Delft University of Technology 19 Remote-sensing of the environment (RSE) Questions ?