Lecture 13. Temperature Lidar (2) Resonance Fluorescence Doppler Tech

Size: px
Start display at page:

Download "Lecture 13. Temperature Lidar (2) Resonance Fluorescence Doppler Tech"

Transcription

1 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Lecture 13. Temperature Lidar () Resonance Fluorescence Doppler Tech Resonance Fluorescence Na Doppler Lidar Na Structure and Spectroscopy Scanning versus Ratio Techniques Principle of Doppler ratio technique Three-frequency ratio technique Comparison of calibration curves Other resonance fluorescence Doppler lidars K Doppler Lidar Fe Doppler Lidar Summary 1

2 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Na Doppler Wind and Temperature Lidar Na Doppler lidar is one of the most successful lidars. Textbook Chapter 5 by Chu and Papen

3 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Na Atomic Energy Levels 3

4 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Doppler Effect in Na D Line Resonance Fluorescence Na D absorption linewidth is temperature dependent Na D absorption peak freq is wind dependent 4

5 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Na Atomic Parameters 5

6 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Doppler-Limited Na Spectroscopy Doppler-broadened Na absorption cross-section is approximated as a Gaussian with rms width σ D 1 e 6 f σ abs (ν) = A n exp [ν n ν(1 V R /c)] πσ D 4ε 0 m e c n=1 σ D (13.1) Assume the laser lineshape is a Gaussian with rms width σ L The effective cross-section is the convolution of the atomic absorption cross-section and the laser lineshape σ eff (ν) = where 1 πσ e e f 4ε 0 m e c 6 n=1 A n exp [ν n ν(1 V R /c)] σ e k B T σ e = σ D + σ σ D = (13.3) L and (13.4) The frequency discriminator/analyzer is in the atmosphere! 6 Mλ 0 (13.)

7 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Doppler Scanning Technique N Na (λ,z) = P L(λ)Δt σ eff (λ)n Na (z)δz hc λ ( ) N R (λ,z R ) = P L (λ)δt σ R (π,λ)n R (z R )Δz hc λ σ eff (λ,z) = C(z) T c (λ,z) ( ) N Na (λ,z) N R (λ,z R ) (13.7) A 4πz A z R η(λ)t a (λ)t c (λ,z)g(z) ( ) η(λ)t a (λ,z R )G(z R ) ( ) (13.5) (13.6) where C(z) = σ R(π,λ)n R (z R ) n Na (z) 4πz z R (13.8) Least-square fitting gives temp [Fricke and von Zahn, JATP, 1985] 7

8 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Scanning Na Lidar Results 8

9 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Doppler-Free Na Spectroscopy f - f a f + See detailed explanation on Na Doppler-free saturation-fluorescence spectroscopy in Textbook Chapter ν a ν c ν b ν c =(ν a +ν b )/ (13.9) 9

10 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 -Frequency Doppler Ratio Technique R T (z) = N norm( f c,z,t 1 ) N norm ( f a,z,t ) = σ eff ( f c,z)n Na (z,t 1 ) σ eff ( f a,z)n Na (z,t ) σ eff ( f c,z) σ eff ( f a,z) (13.10) N norm ( f,z,t) N Na ( f,z,t) N R ( f,z,t)t c ( f,z) z z R (13.11) N norm ( f,z,t) = σ eff ( f )n Na (z) 1 σ R (π, f )n R (z R ) 4π (13.1) 10

11 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 3-Frequency Doppler Ratio Technique R T (z) = N norm ( f +,z,t 1 ) + N norm ( f,z,t ) N norm ( f a,z,t 3 ) σ eff ( f +,z) + σ eff ( f,z) σ eff ( f a,z) (13.13) R W (z) = N norm ( f,z,t ) N norm ( f +,z,t 1 ) σ eff ( f,z) σ eff ( f +,z) (13.14) 11

12 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Main Ideas Behind Ratio Technique Three unknown parameters (temperature, radial wind, and Na number density) require 3 lidar equations at 3 frequencies as minimum highest resolution. In the ratio technique, Na number density is cancelled out. So we have two ratios R T and R W that are independent of Na density but both dependent on T and W. The idea is to derive temperature and radial wind from these two ratios first, and then derive Na number density using computed temperature and wind at each altitude bin. However, because the Na extinction coefficient is involved, the upper bins are related to lower bins, and extinction coefficient is related to Na density and effective cross-section. The solution is to start from the bottom of the Na layer and then work bin by bin to the layer top. 1

13 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Principle of Doppler Ratio Technique Lidar equation for resonance fluorescence (Na, K, or Fe) N S (λ,z) = P L (λ)δt [ σ eff (λ,z)n c (z)r B (λ) +σ R (π,λ)n R (z)]δz hc λ ( T a (λ)tc (λ,z) )( η(λ)g(z) )+ N B A 4πz R B = 1 for current Na Doppler lidar since return photons at all wavelengths are received by the broadband receiver, so no fluorescence is filtered off. Pure Na signal and pure Rayleigh signal in Na region are N Na (λ,z) = P L(λ)Δt A [ σ eff (λ,z)n c (z)]δz hc λ 4πz T a (λ)tc (λ,z) ( ) η(λ)g(z) ( ) N R (λ,z) = P L(λ)Δt hc λ [ σ R (π,λ)n R (z)]δz A z T a (λ)tc (λ,z) ( ) η(λ)g(z) ( ) So we have N S (λ,z) = N Na (λ,z) + N R (λ,z) + N B 13

14 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Principle of Doppler Ratio Technique Lidar equation at pure molecular scattering region (35-55km) N S (λ,z R ) = P L (λ)δt [ σ R (π,λ)n R (z R )]Δz hc λ A z R T a (λ,z R )( η(λ)g(z R ))+ N B Pure Rayleigh signal in molecular scattering region is N R (λ,z R ) = P L (λ)δt A [ σ R (π,λ)n R (z R )]Δz T a (λ,z R ) η(λ)g(z R ) hc λ z R So we have N S (λ,z R ) = N R (λ,z R ) + N B N R (λ,z) [ N R (λ,z R ) = σ R (π,λ)n R (z) ]T a (λ,z)tc (λ,z)g(z) [ σ R (π,λ)n R (z R )]T a (λ,zr )G(z R ) z R z = n R (z) n R (z R ) ( ) The ratio between Rayleigh signals at z and z R is given by z R z T c (λ,z) Where n R is the (total) atmospheric number density, usually obtained from atmospheric models like MSIS00. 14

15 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Principle of Doppler Ratio Technique From above equations, the pure Na and Rayleigh signals are N Na (λ,z) = N S (λ,z) N B N R (λ,z) Normalized Na photon count is defined as N R (λ,z R ) = N S (λ,z R ) N B N Norm (λ,z) = N Na (λ,z) z N R (λ,z R )T c (λ,z) z R From physics point of view, the normalized Na count is N Norm (λ,z) = N Na (λ,z) = σ eff (λ,z)n c (z) 1 N R (λ,z R )T c (λ,z) σ R (π,λ)n R (z R ) 4π From actual photon counts, the normalized Na count is N Norm (λ,z) = N Na (λ,z) z N R (λ,z R )T c (λ,z) = N S (λ,z) N B N R (λ,z) z R N R (λ,z R )T c (λ,z) = N S (λ,z) N B z N S (λ,z R ) N B z R z z R 1 T c (λ,z) n R (z) n R (z R ) 15

16 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Principle of Doppler Ratio Technique From physics, the ratios of R T and R W are then given by R T = N Norm( f +,z) + N Norm ( f,z) N Norm ( f a,z) σ eff ( f +,z)n c (z) σ = R (π, f + )n R (z R ) + σ eff ( f,z)n c (z) σ R (π, f )n R (z R ) σ eff ( f a,z)n c (z) σ R (π, f a )n R (z R ) = σ eff ( f +,z) +σ eff ( f,z) σ eff ( f a,z) R W = N Norm ( f +,z) N Norm ( f,z) N Norm ( f a,z) σ eff ( f +,z)n c (z) σ = R (π, f + )n R (z R ) σ eff ( f,z)n c (z) σ R (π, f )n R (z R ) σ eff ( f a,z)n c (z) σ R (π, f a )n R (z R ) = σ eff ( f +,z) σ eff ( f,z) σ eff ( f a,z) Here, Rayleigh backscatter cross-section is regarded as the same for three frequencies, since the frequency difference is so small. Na number density is also the same for three frequency channels, and so is the atmosphere number density at Rayleigh normalization altitude. 16

17 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Principle of Doppler Ratio Technique From actual photon counts, the ratios R T and R W are R T = N Norm ( f +,z) + N Norm ( f,z) N Norm ( f a,z) N S ( f +,z) N B z N S ( f +,z R ) N B z = R 1 T c ( f+,z) n R (z) n R (z R ) + N S ( f a,z) N B z N S ( f a,z R ) N B z R N S( f,z) N B z N S ( f,z R ) N B z R 1 T c ( fa,z) n R (z) n R (z R ) 1 T c ( f,z) n R (z) n R (z R ) R W = N Norm ( f +,z) N Norm ( f,z) N Norm ( f a,z) N S ( f +,z) N B z N S ( f +,z R ) N B z = R 1 T c ( f+,z) n R (z) n R (z R ) N S ( f a,z) N B z N S ( f a,z R ) N B z R N S( f,z) N B z N S ( f,z R ) N B z R 1 T c ( fa,z) n R (z) n R (z R ) 1 T c ( f,z) n R (z) n R (z R ) 17

18 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 How Does Ratio Technique Work? From physics, we calculate the ratios of R T and R W as R T = σ eff ( f +,z) +σ eff ( f,z) σ eff ( f a,z) R W = σ eff ( f +,z) σ eff ( f,z) σ eff ( f a,z) From actual photon counts, we calculate the ratios as R T = N Norm ( f +,z) + N Norm ( f,z) N Norm ( f a,z) = N S ( f +,z) N B z N S ( f +,z R ) N B z R R W = N Norm( f +,z) N Norm ( f,z) N Norm ( f a,z) = N S ( f +,z) N B z N S ( f +,z R ) N B z R 1 T c ( f+,z) n R (z) n R (z R ) + N S ( f a,z) N B z N S ( f a,z R ) N B z R 1 T c ( f+,z) n R (z) n R (z R ) N S ( f a,z) N B z N S ( f a,z R ) N B z R N S ( f,z) N B z N S ( f,z R ) N B z R 1 T c ( fa,z) n R (z) n R (z R ) N S ( f,z) N B z N S ( f,z R ) N B z R 1 T c ( f,z) n R (z) n R (z R ) 1 T c ( f,z) n R (z) n R (z R ) 1 T c ( fa,z) n R (z) n R (z R ) 18

19 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 How Does Ratio Technique Work? Compute Doppler calibration curves from physics Look up these two ratios on the calibration curves to infer the corresponding Temperature and Wind from isoline/isogram. -40 m/s Isoline / Isogram 180 K 19

20 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 UIUC Na Doppler Lidar SOR 0

21 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Comparison of Calibration Curves Different metrics of R W result in different wind sensitivities The ratio R W = N + /N - has inhomogeneous sensitivity 1

22 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Comparison of Calibration Curves The ratio R W = (N + - N - )/N a has much better uniformity than the simplest ratio

23 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Comparison of Calibration Curves The ratio R W = ln(n - /N + )/ln(n - N + /N a ) has good uniformity 3

24 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 More Resonance Fluorescence Doppler Lidars MSIS90 Temperature Mesopause Thermosphere Besides Na, there are more metal species (K, Fe, Ca, Ca +, Mg, Li, ) from meteor ablation. They can be used as tracers for Doppler lidar measurements in MLT region Altitude (km) Stratopause Mesosphere Stratosphere Ca K Na Fe 0 Tropopause Temperature (K) Troposphere Altitude / km Concentration / cm -3 4

25 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Metal Species in MLT Region Species Central wavelength (nm) A ki (x10 8 s -1 ) Degeneracy g k / g i Atomic Weight Isotopes Doppler rms Width (MHz) 0 (x10-1 cm ) Abundance (x10 9 cm - ) Centroid Altitude (km) Layer rms Width (km) Na (D ) / Fe / , 56, 57, 58 K (D 1 ) / , 40, 41 K (D ) / , 40, 41 Ca / , 4, 43, 44, 46, 48 Ca / Same as Ca x x x x In principle, all these species can be used as trace atoms for resonance fluorescence Doppler lidar measurements. Whether a Doppler lidar can be developed and used mainly depends on the availability and readiness of laser and electro-optic technologies. In addition, the constituent abundance and absorption cross-section are naturally determined. 5

26 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 K Atomic Energy Levels 6

27 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 K Atomic Parameters 7

28 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 K Doppler Lidar Principle & Metrics Ratio technique versus scanning technique Scanning technique actually has its advantages on several aspects, depending on the laser system used - whether there is pedestal, background problems, etc. Ratio technique usually gives higher resolution. 8

29 z 5 F o 3d 6 4s4p z 5 D o 3d 6 4s4p 5 o F4 5 o F5 5 D D 5 o 3 o 4 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Fe Doppler Lidar Principles cm 1 cm cm cm 1 37nm 374nm 386nm 389nm a 5 D 3d 6 4s 5 D3 5 D4 ΔE 416cm cm cm 1 [Chu et al., ILRC, 008] Fe (iron) 37-nm line 9

30 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Effective Cross Section Computation The effective cross section is a convolution of the atomic absorption cross section and the laser line shape. For Gaussian shapes of atomic absorption and laser lineshape: σ e = σ D + σ L How would you calculate the effective cross section when atoms have isotopes, e.g., K (potassium) or Fe (iron)? σ eff (overall) = N [ σ eff,m (isotope) Isotope Abdn ] m m=1 30

31 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Summary (1) Resonance fluorescence Doppler lidars apply Doppler technique to infer temperature and wind from the Doppler-broadened and Dopplershifted atomic absorption spectroscopy. The Doppler-limited atomic absorption spectroscopy is inferred from the returned fluorescence intensity ratios at different frequencies. Both scanning and ratio techniques can work for the Doppler lidar. With scanning technique, the laser will be operated at many different frequencies, and then a least-square fit derives the width of the atomic absorption line, thus deriving the temperature. Its advantage is to provide more than 3 frequency information, so providing checks on more system parameters. But it requires longer integration time. Doppler ratio technique takes advantage of the high temporal resolution feature by limiting the lidar detection to 3 preset frequencies (usually one peak and two wing frequencies) for 3 unknown parameters (T, W, and density). By taking the ratios among signals at these three frequencies, R T and R W are sensitive functions of temperature and radial wind, respectively. 31

32 LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 01 Summary () We compute the ratios R T and R W from atomic physics first to form the lidar calibration curves, and then look up the two ratios calculated from actual photon counts on the calibration curves to infer the corresponding temperature T and radial wind W. Different metrics exhibit different inhomogeneity, resulting in different crosstalk between T and W errors. There are several different atomic species (Na, K, Fe, Ca, Ca +, etc.) originating from meteor ablation in the mesosphere and lower thermosphere (MLT) region. They all have the potentials to be tracers for resonance fluorescence Doppler lidars to measure the temperature and wind in the MLT region. Na and K Doppler lidars are currently near mature status and making great contributions to MLT science. Fe Doppler lidar has very high future potential due to the high Fe abundance, advanced alexandrite laser technology, Doppler-free Fe spectroscopy, and bias-free measurements, etc. 3

Lecture 12. Temperature Lidar (2) Resonance Fluorescence Doppler Lidar

Lecture 12. Temperature Lidar (2) Resonance Fluorescence Doppler Lidar LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, FALL 04 Lecture. Temperature Lidar () Resonance Fluorescence Doppler Lidar Resonance Fluorescence Na Doppler Lidar Na Structure and Spectroscopy Scanning

More information

Lecture 16. Temperature Lidar (5) Resonance Doppler Techniques

Lecture 16. Temperature Lidar (5) Resonance Doppler Techniques LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 06 Lecture 6. Temperature Lidar (5) Resonance Doppler Techniques q Resonance Fluorescence Na Doppler Lidar Ø Na Structure and Spectroscopy Ø Scanning

More information

Lecture 15. Temperature Lidar (4) Doppler Techniques

Lecture 15. Temperature Lidar (4) Doppler Techniques Lecture 15. Temperature Lidar (4) Doppler Techniques q Doppler effects in absorption and backscatter coefficient vs. cross-section q Doppler Technique to Measure Temperature and Wind Ø Doppler Shift and

More information

Lecture 29. Lidar Data Inversion (2)

Lecture 29. Lidar Data Inversion (2) Lecture 9. Lidar Data Inversion ) q Pre-process and Profile-process q Main Process Procedure to Derive T and V R Using Ratio Doppler Technique q Derivations of n c from narrowband resonance Doppler lidar

More information

Lecture 30. Further Consideration on Lidar Data Inversion

Lecture 30. Further Consideration on Lidar Data Inversion Lecture 30. Further Consideration on Lidar Data Inversion Aerosol and Cloud Lidar -- Finish Remaining of Lecture 9 Resonance Doppler lidar data processing -- Further consideration on T c -- Na density

More information

Lecture 10. Lidar Classification and Envelope Estimation

Lecture 10. Lidar Classification and Envelope Estimation Lecture 10. Lidar Classification and Envelope Estimation Various Lidar Classifications Lidar Classification by Topics Temperature lidar technologies Wind lidar technologies Constituent lidar technologies

More information

Lecture 17. Temperature Lidar (6) Integration Technique

Lecture 17. Temperature Lidar (6) Integration Technique Lecture 17. Temperature Lidar (6) Integration Technique Doppler effects in absorption/backscatter coefficient Integration technique for temperature Searchlight integration lidar Rayleigh integration temperature

More information

Lecture 11. Classification of Lidar by Topics

Lecture 11. Classification of Lidar by Topics Lecture 11. Classification of Lidar by Topics Effective cross section for resonance fluorescence Various lidar classifications What are topical lidars and why? Temperature techniques Wind techniques Aerosol

More information

Lecture 21. Constituent Lidar (3)

Lecture 21. Constituent Lidar (3) Lecture 21. Constituent Lidar (3) Motivations to study atmosphere constituents Lidar detection of atmospheric constituents (spectroscopic signatures to distinguish species) Metal atoms by resonance fluorescence

More information

Lecture 10. Lidar Simulation and Error Analysis Overview (2)

Lecture 10. Lidar Simulation and Error Analysis Overview (2) Lecture 10. Lidar Simulation and Error Analysis Overview () Introduction Accuracy versus Precision Classification of Measurement Errors Accuracy in lidar measurements Precision in lidar measurements General

More information

Lecture 10. Lidar Effective Cross-Section vs. Convolution

Lecture 10. Lidar Effective Cross-Section vs. Convolution Lecture 10. Lidar Effective Cross-Section vs. Convolution q Introduction q Convolution in Lineshape Determination -- Voigt Lineshape (Lorentzian Gaussian) q Effective Cross Section for Single Isotope --

More information

Lecture 32. Lidar Error and Sensitivity Analysis

Lecture 32. Lidar Error and Sensitivity Analysis Lecture 3. Lidar Error and Sensitivity Analysis Introduction Accuracy in lidar measurements Precision in lidar measurements Error analysis for Na Doppler lidar Sensitivity analysis Summary 1 Errors vs.

More information

Lecture 18. Temperature Lidar (7) Rayleigh Doppler Technique

Lecture 18. Temperature Lidar (7) Rayleigh Doppler Technique Lecture 18. Temperature Lidar (7) Rayleigh Doppler Technique Review of integration technique Resonance fluorescence Doppler technique vs. Rayleigh Doppler technique Rayleigh Doppler lidar High-spectral-resolution

More information

Lecture 30. Lidar Error and Sensitivity Analysis

Lecture 30. Lidar Error and Sensitivity Analysis Lecture 30. Lidar Error and Sensitivity Analysis q Introduction q Accuracy versus Precision q Accuracy in lidar measurements q Precision in lidar measurements q Propagation of errors vs. differential method

More information

Lecture 26. Wind Lidar (4) Direct Detection Doppler Lidar

Lecture 26. Wind Lidar (4) Direct Detection Doppler Lidar Lecture 26. Wind Lidar (4) Direct Detection Doppler Lidar Considerations (Accuracy and Precision) for DDL Na-DEMOF DDL -- Multi-frequency edge-filter DDL New development of DDL -- DDL based on Fizeau etalon

More information

Lecture 12. Temperature Lidar (1) Overview and Physical Principles

Lecture 12. Temperature Lidar (1) Overview and Physical Principles Lecture 2. Temperature Lidar () Overview and Physical Principles q Concept of Temperature Ø Maxwellian velocity distribution & kinetic energy q Temperature Measurement Techniques Ø Direct measurements:

More information

Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar

Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar Physical processes in lidar (continued) Doppler effect (Doppler shift and broadening) Boltzmann distribution Reflection

More information

Lecture 28. Aerosol Lidar (4) HSRL for Aerosol Measurements

Lecture 28. Aerosol Lidar (4) HSRL for Aerosol Measurements Lecture 28. Aerosol Lidar (4) HSRL for Aerosol Measurements Review of single- and multi-channel aerosol lidars Principle of High Spectral Resolution Lidar (HSRL) HSRL instrumentation University of Wisconsin

More information

Lecture 27. Lidar Data Inversion (1)

Lecture 27. Lidar Data Inversion (1) LIDA EMOTE SENSING POF. XINZHAO CHU CU-BOULDE, FALL 0 Lecture 7. Lidar Data Inversion Introduction of data inversion Basic ideas clues for lidar data inversion Preprocess Profile process Main process next

More information

Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar

Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar Lecture 06. Fundamentals of Lidar Remote Sensing (4) Physical Processes in Lidar Light interactions with objects (continued) Resonance fluorescence Laser induced fluorescence Doppler effect (Doppler shift

More information

Lecture 33. Aerosol Lidar (2)

Lecture 33. Aerosol Lidar (2) Lecture 33. Aerosol Lidar (2) Elastic Scattering, Raman, HSRL q Elastic-scattering lidar for aerosol detection q Single-channel vs multi-channel aerosol lidars q Measurement of aerosol extinction from

More information

Lecture 23. Lidar Error and Sensitivity Analysis (2)

Lecture 23. Lidar Error and Sensitivity Analysis (2) Lecture 3. Lidar Error and Sensitivity Analysis ) q Derivation of Errors q Background vs. Noise q Sensitivity Analysis q Summary 1 Accuracy vs. Precision in Lidar Measurements q The precision errors caused

More information

Lecture 05. Fundamentals of Lidar Remote Sensing (3)

Lecture 05. Fundamentals of Lidar Remote Sensing (3) Lecture 05. Fundamentals of Lidar Remote Sensing (3) Physical Processes in Lidar Overview of physical processes in lidar Light transmission through the atmosphere Light interaction with objects Elastic

More information

Lecture 31. Constituent Lidar (3)

Lecture 31. Constituent Lidar (3) Lecture 31. Constituent Lidar (3) otational Vibrational-otational (V) aman DIAL Multiwavelength DIAL Comparison of Constituent Lidar Techniques Summary for Constituent Lidar Conventional aman DIAL for

More information

Lecture 20. Wind Lidar (1) Overview Wind Technologies

Lecture 20. Wind Lidar (1) Overview Wind Technologies Lecture 20. Wind Lidar (1) Overview Wind Technologies q Motivations to measure global winds q Overview of wind measurement techniques Ø Direct Motion Detection Technique Ø Coherent Detection Doppler Wind

More information

Lecture 08. Solutions of Lidar Equations

Lecture 08. Solutions of Lidar Equations Lecture 08. Solutions of Lidar Equations HWK Report #1 Solution for scattering form lidar equation Solution for fluorescence form lidar equation Solution for differential absorption lidar equation Solution

More information

Lecture 07. Fundamentals of Lidar Remote Sensing (5) Physical Processes in Lidar

Lecture 07. Fundamentals of Lidar Remote Sensing (5) Physical Processes in Lidar Lecture 07. Fundamentals of Lidar Remote Sensing (5) Physical Processes in Lidar Light interaction with objects (continued) Polarization of light Polarization in scattering Comparison of lidar equations

More information

Sodium fluorescence Doppler lidar to measure atmospheric temperature in the mesopause region

Sodium fluorescence Doppler lidar to measure atmospheric temperature in the mesopause region Article Atmospheric Science February 2011 Vol.56 No.4-5: 417 423 doi: 10.1007/s11434-010-4306-x SPECIAL TOPICS: Sodium fluorescence Doppler lidar to measure atmospheric temperature in the mesopause region

More information

Lecture 32. Aerosol & Cloud Lidar (1) Overview & Polar Mesospheric Clouds

Lecture 32. Aerosol & Cloud Lidar (1) Overview & Polar Mesospheric Clouds Lecture 32. Aerosol & Cloud Lidar (1) Overview & Polar Mesospheric Clouds q Motivations to study aerosols and clouds q Lidar detection of aerosols and clouds q Polar mesospheric clouds (PMC) detection

More information

Lecture 20. Wind Lidar (2) Vector Wind Determination

Lecture 20. Wind Lidar (2) Vector Wind Determination Lecture 20. Wind Lidar (2) Vector Wind Determination Vector wind determination Ideal vector wind measurement VAD and DBS technique for vector wind Coherent versus incoherent Detection Doppler wind lidar

More information

Lecture 23. Wind Lidar Overview & Direct Motion Detection

Lecture 23. Wind Lidar Overview & Direct Motion Detection Lecture 23. Wind Lidar Overview & Direct Motion Detection q Motivations to measure global wind q Overview of wind measurement techniques Ø Direct Motion Detection Technique Ø Coherent Detection Doppler

More information

On atmospheric lidar performance comparison: from power aperture product to power aperture mixing ratio scattering cross-section product

On atmospheric lidar performance comparison: from power aperture product to power aperture mixing ratio scattering cross-section product Journal of Modern Optics Vol. 52, No. 18, 15 December 2005, 2723 2729 On atmospheric lidar performance comparison: from power aperture product to power aperture mixing ratio scattering cross-section product

More information

Lecture 11: Doppler wind lidar

Lecture 11: Doppler wind lidar Lecture 11: Doppler wind lidar Why do we study winds? v Winds are the most important variable studying dynamics and transport in the atmosphere. v Wind measurements are critical to improvement of numerical

More information

OPTI 511, Spring 2016 Problem Set 9 Prof. R. J. Jones

OPTI 511, Spring 2016 Problem Set 9 Prof. R. J. Jones OPTI 5, Spring 206 Problem Set 9 Prof. R. J. Jones Due Friday, April 29. Absorption and thermal distributions in a 2-level system Consider a collection of identical two-level atoms in thermal equilibrium.

More information

All-Optical Delay with Large Dynamic Range Using Atomic Dispersion

All-Optical Delay with Large Dynamic Range Using Atomic Dispersion All-Optical Delay with Large Dynamic Range Using Atomic Dispersion M. R. Vanner, R. J. McLean, P. Hannaford and A. M. Akulshin Centre for Atom Optics and Ultrafast Spectroscopy February 2008 Motivation

More information

Part IV. Fundamentals of Laser Spectroscopy

Part IV. Fundamentals of Laser Spectroscopy IV 1 Part IV. Fundamentals of Laser Spectroscopy We have gone through the fundamentals of atomic spectroscopy and molecular spectroscopy, in which we emphasize the quantum physics and principles that govern

More information

OPTI 511R, Spring 2018 Problem Set 10 Prof. R.J. Jones Due Thursday, April 19

OPTI 511R, Spring 2018 Problem Set 10 Prof. R.J. Jones Due Thursday, April 19 OPTI 511R, Spring 2018 Problem Set 10 Prof. R.J. Jones Due Thursday, April 19 1. (a) Suppose you want to use a lens focus a Gaussian laser beam of wavelength λ in order to obtain a beam waist radius w

More information

Lecture 14. Principles of active remote sensing: Lidars. Lidar sensing of gases, aerosols, and clouds.

Lecture 14. Principles of active remote sensing: Lidars. Lidar sensing of gases, aerosols, and clouds. Lecture 14. Principles of active remote sensing: Lidars. Lidar sensing of gases, aerosols, and clouds. 1. Optical interactions of relevance to lasers. 2. General principles of lidars. 3. Lidar equation.

More information

Exploring the Atmosphere with Lidars

Exploring the Atmosphere with Lidars Exploring the Atmosphere with Lidars 2. Types of Lidars S Veerabuthiran S Veerabuthiran is working as a research fellow in Space Physics Laboratory, Vikram Sarabhai Space Centre, Trivandrum. His research

More information

Average Temperature Readings at Various Altitudes

Average Temperature Readings at Various Altitudes Graphing the Atmosphere 1 Name Graphing the Atmosphere Purpose: To visualize how the atmosphere can be divided into layers based on temperature changes at different heights by making a graph. Background

More information

Fundamentals of Spectroscopy for Optical Remote Sensing. Course Outline 2009

Fundamentals of Spectroscopy for Optical Remote Sensing. Course Outline 2009 Fundamentals of Spectroscopy for Optical Remote Sensing Course Outline 2009 Part I. Fundamentals of Quantum Mechanics Chapter 1. Concepts of Quantum and Experimental Facts 1.1. Blackbody Radiation and

More information

Follow this and additional works at: Part of the Atmospheric Sciences Commons, and the Optics Commons

Follow this and additional works at:   Part of the Atmospheric Sciences Commons, and the Optics Commons University of Colorado, Boulder CU Scholar Aerospace Engineering Sciences Graduate Theses & Dissertations Aerospace Engineering Sciences Spring 1-1-2015 Lidar Observations and Modeling Studies of Antarctic

More information

Lecture 45. Laser Induced Fluorescence (LIF) Lidar, White-Light Lidar, and Frequency Comb Lidar

Lecture 45. Laser Induced Fluorescence (LIF) Lidar, White-Light Lidar, and Frequency Comb Lidar Lecture 45. Laser Induced Fluorescence (LIF) Lidar, White-Light Lidar, and Frequency Comb Lidar q Motivations q Fluorescence Spectroscopy q Fluorescence Lidar Principles q Applications of LIF Lidars q

More information

5.5 (AIR PRESSURE) WEATHER

5.5 (AIR PRESSURE) WEATHER 1. Construct the layers of the atmosphere based on the data you re given below. Scientists know that there are four different layers. Use the information in the data chart below to draw how you think the

More information

Lecture 6 - spectroscopy

Lecture 6 - spectroscopy Lecture 6 - spectroscopy 1 Light Electromagnetic radiation can be thought of as either a wave or as a particle (particle/wave duality). For scattering of light by particles, air, and surfaces, wave theory

More information

Received 28 January 2013; revised 2 July 2013; accepted 17 July 2013; published 15 August 2013.

Received 28 January 2013; revised 2 July 2013; accepted 17 July 2013; published 15 August 2013. JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES, VOL. 118, 8748 8759, doi:10.100/jgrd.50670, 013 Simultaneous, common-volume lidar observations and theoretical studies of correlations among Fe/Na layers and

More information

The Mid-Latitude Mesosphere s Response to Sudden Stratospheric Warmings as Determined from Rayleigh Lidar Temperatures

The Mid-Latitude Mesosphere s Response to Sudden Stratospheric Warmings as Determined from Rayleigh Lidar Temperatures Utah State University From the SelectedWorks of Leda Sox August 26, 2013 The Mid-Latitude Mesosphere s Response to Sudden Stratospheric Warmings as Determined from Rayleigh Lidar Temperatures Leda Sox,

More information

Remote Sensing the Upper Atmosphere with Lidar from Space Background: Ground based lidar studies of the upper atmosphere

Remote Sensing the Upper Atmosphere with Lidar from Space Background: Ground based lidar studies of the upper atmosphere RemoteSensingtheUpperAtmospherewithLidarfromSpace bygaryswenson ElectricalandComputerEngineering,UniversityofIllinois,Champaign,Urbana,IL Lidar(LIght Detection And Ranging) remote sensing of the atmosphere

More information

Study Participants: T.E. Sarris, E.R. Talaat, A. Papayannis, P. Dietrich, M. Daly, X. Chu, J. Penson, A. Vouldis, V. Antakis, G.

Study Participants: T.E. Sarris, E.R. Talaat, A. Papayannis, P. Dietrich, M. Daly, X. Chu, J. Penson, A. Vouldis, V. Antakis, G. GLEME: GLOBAL LIDAR EXPLORATION OF THE MESOSPHERE Project Technical Officer: E. Armandillo Study Participants: T.E. Sarris, E.R. Talaat, A. Papayannis, P. Dietrich, M. Daly, X. Chu, J. Penson, A. Vouldis,

More information

Alan Z. Liu Embry Riddle Aeronautical University - Daytona Beach, Chester S. Gardner

Alan Z. Liu Embry Riddle Aeronautical University - Daytona Beach, Chester S. Gardner Department of Physical Sciences - Daytona Beach College of Arts & Sciences 1-29-2005 Vertical Heat and Constituent Transport in the Mesopause Region by Dissipating Gravity Waves at Maui, Hawaii (20.7ºN),

More information

Temperature Measurements with Lidar

Temperature Measurements with Lidar 10 Temperature Measurements with Lidar Andreas Behrendt Universität Hohenheim, Institut für Physik und Meteorologie, Garbenstraße 30, D-70599 Stuttgart, Germany (behrendt@uni-hohenheim.de) 10.1 Introduction

More information

EARTH'S ATMOSPHERE. 1. The graph below shows the average concentration of ozone in Earth's atmosphere over Arizona during 4 months of the year.

EARTH'S ATMOSPHERE. 1. The graph below shows the average concentration of ozone in Earth's atmosphere over Arizona during 4 months of the year. EARTH'S ATMOSPHERE 1. The graph below shows the average concentration of ozone in Earth's atmosphere over Arizona during 4 months of the year. Which layer of Earth's atmosphere contains the greatest concentration

More information

Nocturnal temperature structure in the mesopause region over the Arecibo Observatory (18.35 N, W): Seasonal variations

Nocturnal temperature structure in the mesopause region over the Arecibo Observatory (18.35 N, W): Seasonal variations Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112,, doi:10.1029/2006jd008220, 2007 Nocturnal temperature structure in the mesopause region over the Arecibo Observatory (18.35 N, 66.75

More information

Laser Detection Techniques

Laser Detection Techniques Laser Detection Techniques K.-H. Gericke Institute for Physical Chemistry University Braunschweig E 2 E 1 = hn, λ = c /n Lambert-Beer Law Transmittance of the sample:: T = I / I 0 T = e -snl = e -α, where

More information

Science 1206 Unit 2: Weather Dynamics Worksheet 8: Layers of the Atmosphere

Science 1206 Unit 2: Weather Dynamics Worksheet 8: Layers of the Atmosphere Science 1206 Unit 2: Weather Dynamics Worksheet 8: Layers of the Atmosphere The atmosphere has a definite impact upon weather patterns and changes. At one time the atmosphere was once considered to be

More information

The Deep Propagating Gravity Wave Experiment (DEEPWAVE) Science Overview and Approach

The Deep Propagating Gravity Wave Experiment (DEEPWAVE) Science Overview and Approach The Deep Propagating Gravity Wave Experiment (DEEPWAVE) Science Overview and Approach U.S. PIs: Dave Fritts 1, Ron Smith 2, Mike Taylor 3, Jim Doyle 4, Steve Eckermann 5, and Steve Smith 6 1 GATS, Boulder,

More information

NICT Lidar Systems at Poker Flat Research Range

NICT Lidar Systems at Poker Flat Research Range NICT Lidar Systems at Poker Flat Research Range MIZUTANI Kohei, ITABE Toshikazu, YASUI Motoaki, AOKI Tetsuo, ISHII Shoken, MURAYAMA Yasuhiro, SASANO Masahiko, YOSHIOKA Kensuke, OHTANI Yoshiko, and Richard

More information

MEFT / Quantum Optics and Lasers. Suggested problems Set 4 Gonçalo Figueira, spring 2015

MEFT / Quantum Optics and Lasers. Suggested problems Set 4 Gonçalo Figueira, spring 2015 MEFT / Quantum Optics and Lasers Suggested problems Set 4 Gonçalo Figueira, spring 05 Note: some problems are taken or adapted from Fundamentals of Photonics, in which case the corresponding number is

More information

Optogalvanic spectroscopy of the Zeeman effect in xenon

Optogalvanic spectroscopy of the Zeeman effect in xenon Optogalvanic spectroscopy of the Zeeman effect in xenon Timothy B. Smith, Bailo B. Ngom, and Alec D. Gallimore ICOPS-2006 10:45, 5 Jun 06 Executive summary What are we reporting? Xe I optogalvanic spectra

More information

Lidar studies of interannual, seasonal, and diurnal variations of polar mesospheric clouds at the South Pole

Lidar studies of interannual, seasonal, and diurnal variations of polar mesospheric clouds at the South Pole JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D8, 8447, doi:10.1029/2002jd002524, 2003 Lidar studies of interannual, seasonal, and diurnal variations of polar mesospheric clouds at the South Pole Xinzhao

More information

RFSS: Lecture 2 Nuclear Properties

RFSS: Lecture 2 Nuclear Properties RFSS: Lecture 2 Nuclear Properties Readings: Modern Nuclear Chemistry: Chapter 2 Nuclear Properties Nuclear and Radiochemistry: Chapter 1 Introduction, Chapter 2 Atomic Nuclei Nuclear properties Masses

More information

Waves and Turbulence Dynamics above the Andes

Waves and Turbulence Dynamics above the Andes Waves and Turbulence Dynamics above the Andes Alan Liu Embry-Riddle Aeronautical University Daytona Beach, Florida, USA F. Vargas, G. Swenson, A. Mangognia (UIUC) W. Huang, J. Smith, X. Chu (CU Boulder)

More information

DEVELOPMENT OF LIDAR TECHNIQUES FOR ENVIRONMENTAL REMOTE SENSING

DEVELOPMENT OF LIDAR TECHNIQUES FOR ENVIRONMENTAL REMOTE SENSING DEVELOPMENT OF LIDAR TECHNIQUES FOR ENVIRONMENTAL REMOTE SENSING Y.BHAVANI KUMAR Project leader, Lidar Project National Atmospheric Research Laboratory, Department of Space Gadanki-517112, Chittoor (District),

More information

Aeolus ESA s Wind Lidar Mission: Objectives, Design & Status

Aeolus ESA s Wind Lidar Mission: Objectives, Design & Status Aeolus ESA s Wind Lidar Mission: Objectives, Design & Status Anne Grete Straume on behalf of Anders Elfving European Space Agency/ESTEC Working Group on Space-based Lidar Winds Boulder, 28/04/2015 Atmospheric

More information

Retrieval of tropospheric and middle atmospheric water vapour profiles from ground based microwave radiometry

Retrieval of tropospheric and middle atmospheric water vapour profiles from ground based microwave radiometry Retrieval of tropospheric and middle atmospheric water vapour profiles from ground based microwave radiometry René Bleisch Institute of Applied Physics 26..212 1 / 45 Outline 1 Introduction Measuring water

More information

Observations 3: Data Assimilation of Water Vapour Observations at NWP Centres

Observations 3: Data Assimilation of Water Vapour Observations at NWP Centres Observations 3: Data Assimilation of Water Vapour Observations at NWP Centres OUTLINE: Data Assimilation A simple analogy: data fitting 4D-Var The observation operator : RT modelling Review of Radiative

More information

Lesson 11. The information lost, continuation. Monday, December 3, 12

Lesson 11. The information lost, continuation. Monday, December 3, 12 Lesson 11 The information lost, continuation Atmospheric opacity The vertical axis represents opacity From wikipedia Atmospheric layers Exosphere The outermost layer of Earth's atmosphere. It is mainly

More information

Uncertainty Budgets. Title: Uncertainty Budgets Deliverable number: D4.3 Revision 00 - Status: Final Date of issue: 28/04/2013

Uncertainty Budgets. Title: Uncertainty Budgets Deliverable number: D4.3 Revision 00 - Status: Final Date of issue: 28/04/2013 Uncertainty Budgets Deliverable title Uncertainty Budgets Deliverable number D4.3 Revision 00 Status Final Planned delivery date 30/04/2013 Date of issue 28/04/2013 Nature of deliverable Report Lead partner

More information

X-ray Spectroscopy. c David-Alexander Robinson & Pádraig Ó Conbhuí. 14th March 2011

X-ray Spectroscopy. c David-Alexander Robinson & Pádraig Ó Conbhuí. 14th March 2011 X-ray Spectroscopy David-Alexander Robinson; Pádraig Ó Conbhuí; 08332461 14th March 2011 Contents 1 Abstract 2 2 Introduction & Theory 2 2.1 The X-ray Spectrum............................ 2 2.2 X-Ray Absorption

More information

Single Emitter Detection with Fluorescence and Extinction Spectroscopy

Single Emitter Detection with Fluorescence and Extinction Spectroscopy Single Emitter Detection with Fluorescence and Extinction Spectroscopy Michael Krall Elements of Nanophotonics Associated Seminar Recent Progress in Nanooptics & Photonics May 07, 2009 Outline Single molecule

More information

Optical Remote Sensing Techniques Characterize the Properties of Atmospheric Aerosols

Optical Remote Sensing Techniques Characterize the Properties of Atmospheric Aerosols Optical Remote Sensing Techniques Characterize the Properties of Atmospheric Aerosols Russell Philbrick a,b,c, Hans Hallen a, Andrea Wyant c, Tim Wright b, and Michelle Snyder a a Physics Department, and

More information

Sodium Guidestar Return From Broad CW Sources. CfAO Fall Workshop Comments COVER SLIDE

Sodium Guidestar Return From Broad CW Sources. CfAO Fall Workshop Comments COVER SLIDE Sodium Guidestar Return From Broad CW Sources CfAO Fall Workshop Comments Paul Hillman Starfire Optical Range Directed Energy Directorate Air Force Research Laboratory COVER SLIDE The following slide presentation

More information

Fundamental of Spectroscopy for Optical Remote Sensing Xinzhao Chu I 10 3.4. Principle of Uncertainty Indeterminacy 0. Expression of Heisenberg s Principle of Uncertainty It is worth to point out that

More information

Our Atmosphere as seen from the bottom of it near Grand Pre, NS. Info modified from various sources by TWebb HHS

Our Atmosphere as seen from the bottom of it near Grand Pre, NS. Info modified from various sources by TWebb HHS Our Atmosphere as seen from the bottom of it near Grand Pre, NS Info modified from various sources by TWebb HHS Properties of the Atmosphere A) Mobility B) Expansion (MOST important!) C) Compression These

More information

! Fiber!Laser!Intracavity!Absorption! Spectroscopy!(FLICAS)!of!CO/CO2! mixture.!!! This experiment will expose you to tools and approaches, common in

! Fiber!Laser!Intracavity!Absorption! Spectroscopy!(FLICAS)!of!CO/CO2! mixture.!!! This experiment will expose you to tools and approaches, common in FiberLaserIntracavityAbsorption Spectroscopy(FLICAS)ofCO/CO2 mixture. This experiment will expose you to tools and approaches, common in modern laser spectroscopy. During the following weeks we will cover

More information

Early time dynamics of strongly coupled ultracold neutral Ca + and Ca 2+ plasmas

Early time dynamics of strongly coupled ultracold neutral Ca + and Ca 2+ plasmas Early time dynamics of strongly coupled ultracold neutral Ca + and Ca 2+ plasmas M. Lyon and S. D. Bergeson Department of Physics and Astronomy, Brigham Young University, Provo, UT 84602, USA For interacting

More information

Radiation in the Earth's Atmosphere. Part 1: Absorption and Emission by Atmospheric Gases

Radiation in the Earth's Atmosphere. Part 1: Absorption and Emission by Atmospheric Gases Radiation in the Earth's Atmosphere Part 1: Absorption and Emission by Atmospheric Gases Electromagnetic Waves Electromagnetic waves are transversal. Electric and magnetic fields are perpendicular. In

More information

Atmosphere & Heat Transfer Basics Notes

Atmosphere & Heat Transfer Basics Notes Atmosphere & Heat Transfer Basics Notes S6E4. A: Analyze and interpret data to compare and contrast the composition of Earth s atmospheric layers (including the ozone layer) and greenhouse gases. Read

More information

Absorption Line Physics

Absorption Line Physics Topics: 1. Absorption line shapes 2. Absorption line strength 3. Line-by-line models Absorption Line Physics Week 4: September 17-21 Reading: Liou 1.3, 4.2.3; Thomas 3.3,4.4,4.5 Absorption Line Shapes

More information

Thermosphere Part-3. EUV absorption Thermal Conductivity Mesopause Thermospheric Structure Temperature Structure on other planets

Thermosphere Part-3. EUV absorption Thermal Conductivity Mesopause Thermospheric Structure Temperature Structure on other planets Thermosphere Part-3 EUV absorption Thermal Conductivity Mesopause Thermospheric Structure Temperature Structure on other planets Thermosphere Absorbs EUV Absorption: Solar Spectrum 0.2 0.6 1.0 1.4 1.8

More information

Chapter 2 Earth s atmosphere (Lectures 4 and 5)

Chapter 2 Earth s atmosphere (Lectures 4 and 5) Chapter 2 Earth s atmosphere (Lectures 4 and 5) Keywords: Earth s atmosphere; International standard atmosphere; geopotential altitude; stability of atmosphere. Topics 2.1 Introduction 2.2 Earth s atmosphere

More information

The DLR Project WETTER & FLIEGEN. Simulated Lidar Signals for Wake-Vortex Detection ahead of the Aircraft

The DLR Project WETTER & FLIEGEN. Simulated Lidar Signals for Wake-Vortex Detection ahead of the Aircraft The DLR Project WETTER & FLIEGEN Final Colloquium, 14.03.2012 Simulated Lidar Signals for Wake-Vortex Detection ahead of the Aircraft Markus Hirschberger, Institute PA, Lidar division 1 Aircraft moves

More information

Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source

Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source 3rd International EUVL Symposium NOVEMBER 1-4, 2004 Miyazaki, Japan Visualization of Xe and Sn Atoms Generated from Laser-Produced Plasma for EUV Light Source H. Tanaka, A. Matsumoto, K. Akinaga, A. Takahashi

More information

Atmospheric Lidar The Atmospheric Lidar (ATLID) is a high-spectral resolution lidar and will be the first of its type to be flown in space.

Atmospheric Lidar The Atmospheric Lidar (ATLID) is a high-spectral resolution lidar and will be the first of its type to be flown in space. www.esa.int EarthCARE mission instruments ESA s EarthCARE satellite payload comprises four instruments: the Atmospheric Lidar, the Cloud Profiling Radar, the Multi-Spectral Imager and the Broad-Band Radiometer.

More information

Observational investigations of gravity wave momentum flux with spectroscopic imaging

Observational investigations of gravity wave momentum flux with spectroscopic imaging JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2004jd004778, 2005 Observational investigations of gravity wave momentum flux with spectroscopic imaging J. Tang, G. R. Swenson, A. Z. Liu, and F.

More information

4.2 CHARACTERISTICS OF ATMOSPHERIC AEROSOLS USING OPTICAL REMOTE SENSING

4.2 CHARACTERISTICS OF ATMOSPHERIC AEROSOLS USING OPTICAL REMOTE SENSING 4.2 CHARACTERISTICS OF ATMOSPHERIC AEROSOLS USING OPTICAL REMOTE SENSING C. Russell Philbrick *, Timothy Wright, Michelle Snyder, Hans Hallen North Carolina State University, Raleigh NC Andrea M. Brown,

More information

MIPAS WATER VAPOUR MIXING RATIO AND TEMPERATURE VALIDATION BY RAMAN-MIE-RAYLEIGH LIDAR

MIPAS WATER VAPOUR MIXING RATIO AND TEMPERATURE VALIDATION BY RAMAN-MIE-RAYLEIGH LIDAR MIPAS WATER VAPOUR MIXING RATIO AND TEMPERATURE VALIDATION BY RAMAN-MIE-RAYLEIGH LIDAR T.Colavitto (1) (2), F.Congeduti (1), C.M. Medaglia (1), F. Fierli (1), P. D Aulerio (1) (1) Istituto di Scienze dell

More information

Name of research institute or organization: École Polytechnique Fédérale de Lausanne (EPFL)

Name of research institute or organization: École Polytechnique Fédérale de Lausanne (EPFL) Name of research institute or organization: École Polytechnique Fédérale de Lausanne (EPFL) Title of project: Study of atmospheric aerosols, water, ozone, and temperature by a LIDAR Project leader and

More information

ECT* Trento The Lead Radius. Precision measurements of nuclear ground state properties for nuclear structure studies. Klaus Blaum

ECT* Trento The Lead Radius. Precision measurements of nuclear ground state properties for nuclear structure studies. Klaus Blaum ECT* Trento The Lead Radius Precision measurements of nuclear ground state properties for nuclear structure studies Klaus Blaum 04.08.2009 Outline Introduction, history and methods Principle of laser spectroscopy

More information

Observatory of Environmental Safety Resource Center, Research Park. St.Petersburg. Russia.

Observatory of Environmental Safety Resource Center, Research Park. St.Petersburg. Russia. Correct atmospheric optics modelling: Theory and Experiment Irina Melnikova Observatory of Environmental Safety Resource Center, Research Park St.Petersburg State University St.Petersburg. Russia. irina.melnikova@pobox.spbu.ru

More information

CH. 21 Atomic Spectroscopy

CH. 21 Atomic Spectroscopy CH. 21 Atomic Spectroscopy 21.1 Anthropology Puzzle? What did ancient people eat for a living? Laser Ablation-plasma ionization-mass spectrometry CH. 21 Atomic Spectroscopy 21.2 plasma In Atomic Spectroscopy

More information

Common Elements: Nitrogen, 78%

Common Elements: Nitrogen, 78% Chapter 23 Notes Name: Period: 23.1 CHARACTERISTICS OF THE ATMOSPHERE The atmosphere is a layer of that surrounds the earth and influences all living things. Meteorology is the study of the. WHAT S IN

More information

The last 2 million years.

The last 2 million years. Lecture 5: Earth Climate History - Continued Ice core records from both Greenland and Antarctica have produced a remarkable record of climate during the last 450,000 years. Trapped air bubbles provide

More information

The Design and Construction of an Airborne High Spectral Resolution Lidar.

The Design and Construction of an Airborne High Spectral Resolution Lidar. The Design and Construction of an Airborne High Spectral Resolution Lidar. E. W. Eloranta, I. A. Razenkov, J. Hedrick and J. P. Garcia Space Science and Engineering Center University of Wisconsin-Madison

More information

Rayleigh-Brillouin Scattering Experiment with Atmospheric Lidar from a Mountain Observatory

Rayleigh-Brillouin Scattering Experiment with Atmospheric Lidar from a Mountain Observatory Rayleigh-Brillouin Scattering Experiment with Atmospheric Lidar from a Mountain Observatory Oliver Reitebuch, Christian Lemmerz, Engelbert Nagel, Benjamin Witschas Institut für Physik der Atmosphäre intensity

More information

Millimetre-wave Limb Sounding

Millimetre-wave Limb Sounding Millimetre-wave Limb Sounding Lecture by B.Kerridge, RAL ESA Advanced AtmosphericTraining Course 15-20 th Sept 2008, Oxford Contents 1. Principles of mm-wave sounding Radiative transfer & spectroscopy

More information

Polar Mesospheric Clouds and Cosmic Dust: Three years of SOFIE Measurements

Polar Mesospheric Clouds and Cosmic Dust: Three years of SOFIE Measurements Polar Mesospheric Clouds and Cosmic Dust: Three years of SOFIE Measurements SOFIE = the Solar Occultation For Ice Experiment, aboard AIM, NASA s Aeronomy of Ice in the Mesosphere mission Marty McHugh,

More information

Dust in the Diffuse Universe

Dust in the Diffuse Universe Dust in the Diffuse Universe Obscuring Effects Chemical Effects Thermal Effects Dynamical Effects Diagnostic Power Evidence for Grains: Chemical Effects Catalyzes molecular hydrogen formation. Depletion

More information

Photon Physics. Week 4 26/02/2013

Photon Physics. Week 4 26/02/2013 Photon Physics Week 4 6//13 1 Classical atom-field interaction Lorentz oscillator: Classical electron oscillator with frequency ω and damping constant γ Eqn of motion: Final result: Classical atom-field

More information

Saturation Absorption Spectroscopy of Rubidium Atom

Saturation Absorption Spectroscopy of Rubidium Atom Saturation Absorption Spectroscopy of Rubidium Atom Jayash Panigrahi August 17, 2013 Abstract Saturated absorption spectroscopy has various application in laser cooling which have many relevant uses in

More information