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23.03.22 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute
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25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

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Page 1: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23

Basic Principles of Doppler Radar

Elena Saltikoff

Alessandro Chiariello

Finnish Meteorological Institute

Page 2: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Learning Objectives

• What the Doppler colours mean

• Why the pictures are not always as beautiful as in textbooks

• Where the wind barbs come from

• Combining and comparing radar to other wind data sources: benefits and traps (amdar, NWP, radiosound)

Page 3: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Background 1•         • This is a Doppler image.• Even if the wind is the same in every

place, this picture shows different colours representing velocities. This is because the radar can not measure the real wind. It only measures radial component: how fast the particles move towards the radar or away from radar.

• In the red and orange part, they go away. In the green part, they come towards the radar. In the white part, they have no Doppler velocity. This may be for two reasons

• they do not move at all

• or, they move perpendicularly to the radar beam

• Picture of south wind

Page 4: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Background 2• The radar can not measure

speeds of clean air, there has to be something reflecting the microwaves: raindrops, snowflakes, birds or insects.

• In 1950’s people believed that the changes of refractive index are enough, too. Probably not at 5 cm microwaves,

• Wind from west. At sea, showers, over land, insects.

Page 5: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 5

Some theory and terminology, briefly

Radial Velocity is the component of the velocity that is parallel to the radial from the radar to the point in question the component towards or away from from the radar

Colour convention: cold colour towards (cold wind toward your face)

Red colours away (back lights of cars)

Page 6: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Technically speaking• Speed is calculated from change of phase in the

microwave pulse

• Change of phase is related to change of frequency

• For good estimate, several ( > 30) pulses are needed

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 6

Page 7: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Life is not a textbook (velocity folding)

• Radar measurement has maximum velocity which it can solve

• Larger velocities get the radar confused (like a child counting with its fingers)

• Maximum is set by wavelength and pulse repetition frequency: the measured particles can move max ¼ of wavelength between two pulses

• Two images. Same radar, same elevation, 2 min time difference.

Page 8: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 8

What can we do to aliasing ?• If we increase pulse repetition frequency, we can

measure speeds better, but then we cannot see so far.

• Wind profile program (VVP) can solve some de-aliasing, if there is enough data

• In Finland, twice in 15 minutes we stop normal measurement and make a good speed measurement for short distances. This is used for

• Wind profiles for aviation weather services

• Tornado hunting

• NWP assimilation

Page 9: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Wind Profiles• Most countries use their weather radar to measure,

not only the precipitation near the ground, but also at higher altitudes, so that we get a 3-dimensional image of the atmosphere.

• Wind measurements from higher altitudes can be used to create wind profiles.

• You can also get wind profiles from radiosoundings, AMDAR, NWP models, Wind profilers.

• Wind profiles are used in • aviation weather service (wind shear warnings)

• input to numerical weather prediction

• input to pollution and radioactive dispersion models

• synoptical analysis

Page 10: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

How the wind arrows are calculatedVelocity Azimuth Display (VAD)

For a fixed elevation angle and range, corresponding to a fixed height, the radial velocity will vary sinusoidally as the antenna scans through a full 360 degrees

Page 11: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

How the wind profiles are buildt• By scanning at a number of

elevation angles and ranges, vertical wind profiles can be derived. These will be volume averages where the range and elevation chosen will determine the size of the volume.

• Typically, the first few km near the radar are not used

Radius 20-50 km

Thickness 100-500 m

Inner gap 1-5 km

Page 12: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

How the wind profiles are presented• As wind barbs, wind arrows or graphs

Page 13: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Time series of wind barbs + reflectivity

Wind turning clockwise and growing with height: warm advection

Reflectivity growing: warmer air, larger flakes

Page 14: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Single wind profile: Speed, direction, reflectivity as averages in a 15-km cylinder

Page 15: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Wind profiles online• http://www.metoffice.gov.uk/science/specialist/cwinde/wradar/

Page 16: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Summary• Doppler radar measures speed of particles

• no particles, no measurement

• mountains have no speed

• Raindrops and insects move with wind so we get information of wind

• Sometimes it can help in finding a tornado

Page 17: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23

Advanced comments toDoppler Radar

Elena Saltikoff

Alessandro Chiariello

Finnish Meteorological Institute

Page 18: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Two techniques: VAD and VVP

• Classical VAD uses one elevation

• Hence, waves are fit to smaller circles near ground than aloft

• VVP: number of elevation angles and ranges to produce volume averages

• Typically, the first few km near the radar are not used

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 18

Page 19: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 19

When does it work ?• For good quality wind profile,

data is needed from all sides of radar

• Data must be connected to wind speed, not birds

• Wind field must be uniform: strong convergence makes a mess

• Averaging over shear area makes a mess

• Error bars in VVP display show how well the trigonometrical wave fits in data

Page 20: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Pleasures of trigonometry• Counting an integral over the ring we can get an estimate fo

divergence and convergence

• Because of properties of trigonometrical waves, we do not need a full circle. The computer can fit a wave to smaller amount of data (25% of circle is usually enough)

• We can also fit separate waves to partial circles and get a vector field

• This works with some assumptions (hopeless in convection)

Page 21: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 21

Divergence and convergence

Page 22: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 22

Wind vector field

Page 23: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 23

Arrow shows the real wind direction.

In area ”Away” particle movement has a component away (1-3 m/s). In green area, it has component towards the radar (3-8 m/s) . In aliased area, movement towards the radar is bigger, radar cannot measure it and gets confused….

Page 24: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 24

Wind barbs from same situation: IRIS solved it

Page 25: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

With small amount to data,

• average can usually be solved

• Small details can not

• Not useful for tornado catching

• Not to see local convergence and divergence

20.04.23Ilmatieteen laitos / PowerPoint ohjeistus 25

Page 26: 25.10.2015 Basic Principles of Doppler Radar Elena Saltikoff Alessandro Chiariello Finnish Meteorological Institute.

Doppler spectrum gives threshold tools (inside the computer)

buildingrain bird

Spectrum is calculated from the 32-64 samples we take from the same location.