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

Similar documents
Algorithm Baseline for L1 Product and Calibration

ESA AO/1-5467/07/NL/HE A SPONTANEOUS RAYLEIGH-BRILLOUIN SCATTERING EXPERIMENT FOR THE CHARACTERIZATION OF ATMOSPHERIC LIDAR BACKSCATTER

Lecture 11: Doppler wind lidar

Lecture 20. Wind Lidar (2) Vector Wind Determination

Spaceborne Wind Lidar Observations by Aeolus Data Products and Pre-Launch Validation with an Airborne Instrument

Calibration processors for AEOLUS. A. Dabas

Aerosol and cloud related products by ESA s Aeolus mission

arxiv: v1 [physics.optics] 25 Apr 2014

Airborne wind lidar observations in the North Atlantic in preparation for the ADM-Aeolus validation

Airborne direct-detection and coherent wind lidar measurements along the east coast of Greenland in 2009 supporting ESA s Aeolus mission

NTUA. A. Georgakopoulou. A. Papayannis1, A. Aravantinos2 NATIONAL TECHNICAL UNIVERSITY OF ATHENS TECHNOLOGICAL EDUCATIONAL INSTIDUTION OF ATHENS SIENA

Lecture 18. Temperature Lidar (7) Rayleigh Doppler Technique

European Space Agency, Noordwijk, Netherlands. EADS Astrium, European Aeronautic Defense and Space Company, Toulouse, France

ACTIVITIES IN SUPPORT OF THE DOPPLER WIND LIDAR PROFILING MISSION ADM-AEOLUS

Temperature retrieval from Rayleigh-Brillouin scattering profiles measured in air

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

ADM-Aeolus Progressing Towards Mission Exploitation

Lecture 15. Temperature Lidar (4) Doppler Techniques

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

Fabry-Perot Interferometer for atmospheric monitoring useful for EAS detection E.Fokitis 1, K. Patrinos 1, Z. Nikitaki 1

ESA contract CCN2 FURTHER VALIDATION AND REFINEMENT OF THE TENTI MODEL FOR ATMOSPHERIC LIDAR BACKSCATTER. Final Report

ADM-Aeolus ESA s Wind Lidar Mission and its spin-off aerosol profile products

Rayleigh-Brillouin scattering profiles of air at different temperatures and pressures

Rayleigh Brillouin scattering profiles of air at different temperatures and pressures

ADM-AEOLUS - ESA'S WIND LIDAR MISSION AND ITS CONTRIBUTION TO NUMERICAL WEATHER PREDICTION

Experiments on spontaneous Rayleigh-Brillouin scattering in air

Development of an optical multi-purpose sensor using filtered scattered light

The impact of airborne wind and water vapour lidar measurements on ECMWF analyses and forecasts

Lecture 11. Classification of Lidar by Topics

Lecture 32. Lidar Error and Sensitivity Analysis

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

Lecture 10. Lidar Classification and Envelope Estimation

DEVELOPMENT OF ADM-AEOLUS PORTABLE LEVEL 2B WIND RETRIEVAL SOFTWARE ABSTRACT

Direct-detection Doppler wind measurements with a Cabannes Mie lidar: A. Comparison between iodine vapor filter and Fabry Perot interferometer methods

Direct-detection Doppler wind measurements with a Cabannes Mie lidar: B. Impact of aerosol variation on iodine vapor filter methods

Lecture 20. Wind Lidar (1) Overview Wind Technologies

ADM-Aeolus Science and Cal/Val Workshop

Brillouin-Light-Scattering Spectroscopy

Astronomical frequency comb for calibration of low and medium resolution spectrographs

Millimetre-wave Limb Sounding

Chap.1. Introduction to Optical Remote Sensing

Impact of airborne Doppler lidar observations on ECMWF forecasts

Lecture 33. Aerosol Lidar (2)

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

Analysis of Rayleigh-Brillouin spectral profiles and Brillouin shifts in nitrogen gas and air

Long-term Trends and Spatio-temporal Variations in Atmospheric Aerosols at UFS (TP I/02)

Remote Sensing Systems Overview

Optogalvanic spectroscopy of the Zeeman effect in xenon

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.

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

Submillimetre astronomy

Advanced Spectroscopy Laboratory

CHEM*3440. Photon Energy Units. Spectrum of Electromagnetic Radiation. Chemical Instrumentation. Spectroscopic Experimental Concept.

Sl-2 High Spectral Resolution Lidar at 532nm for Simultaneous Measurement of Atmospheric State and Aerosol Profiles using Iodine Vapor Filters

2.5 COMPARING WATER VAPOR VERTICAL PROFILES USING CNR-IMAA RAMAN LIDAR AND CLOUDNET DATA

Where are the Fringes? (in a real system) Div. of Amplitude - Wedged Plates. Fringe Localisation Double Slit. Fringe Localisation Grating

Other examples of signatures of mountain waves in radiosonde observations

The ADM-Aeolus wind retrieval algorithms

ADM-Aeolus, VAMP, Task 4: Quantification of L2B HLOS wind accuracies for typical wind shear, aerosol and cloud conditions

Lecture 21. Constituent Lidar (3)

Lecture 16. Temperature Lidar (5) Resonance Doppler Techniques

Ship-Based Measurements of Cloud Microphysics and PBL Properties in Precipitating Trade Cumuli During RICO

LAUNCH Concept. Lindenberg Observatory

Lecture 23. Wind Lidar Overview & Direct Motion Detection

Design of a High Spectral Resolution Lidar for Atmospheric Monitoring in EAS Detection Experiments

Recent lidar measurements from AWIPEV

Lecture 10. Lidar Effective Cross-Section vs. Convolution

What are Aerosols? Suspension of very small solid particles or liquid droplets Radii typically in the range of 10nm to

ADM-Aeolus, VAMP, Task 4: Quantification of L2B HLOS wind accuracies for typical wind shear, aerosol and cloud conditions

The Green-OAWL (GrOAWL) Airborne Demonstrator for the ATHENA-OAWL Mission Concept: System Progress and Flight Plans

Fabry-Perot Measurement of Aeronomic Winds and Temperatures

Contributions of DLR to DEEPWAVE-NZ

Spaceborne Aerosol and Ozone Lidars for Air Quality Applications

Exploring the Atmosphere with Lidars

Laser heating of noble gas droplet sprays: EUV source efficiency considerations

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

All-Optical Delay with Large Dynamic Range Using Atomic Dispersion

Welcome and Introduction

Retrieval of tropospheric water vapour by using spectra from a microwave spectro-radiometer at 22 GHz

Calibration/Validation Experiments for the ADM-Aeolus using the OUC lidar facilities

NIR Solar Reference Spectrum Algorithm for the Orbiting Carbon Observatory (OCO)

Application of high-precision temperature-controlled FBG f ilter and light source self-calibration technique in the BOTDR sensor system

Hyperspectral Microwave Atmospheric Sounding

Lecture 31. Constituent Lidar (3)

VALIDATION OF MIPAS TEMPERATURE DATA WITH THE U. BONN LIDAR AT THE ESRANGE DURING JULY AND AUGUST 2002

NTUA. Physics Department, National Technical University of Athens. June IPRD10,, Siena, Italy S. Maltezos SIENA ITALY

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

Steven Greco* and George D. Emmitt Simpson Weather Associates, Charlottesville, VA. 2. Experiments

Use of FY-3C/GNOS Data for Assessing the on-orbit Performance of Microwave Sounding Instruments

Optical Frequency Comb Fourier Transform Spectroscopy with Resolution beyond the Path Difference Limit

Atmospheric Measurements from Space

Fabry-Perot Interferometers

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

MTP-5 ecology and urban climat

Richard Miles and Arthur Dogariu. Mechanical and Aerospace Engineering Princeton University, Princeton, NJ 08540, USA

SCIENTIFIC PREPARATIONS FOR AEOLUS AND AEOLUS FOLLOW-ON

CALLISTO and The e-callisto network

High Sensitivity Gas Sensor Based on IR Spectroscopy Technology and Application

Zhongxun LIU (ISAE/NUDT), Nicolas JEANNIN(ONERA), François VINCENT (ISAE), Xuesong WANG(NUDT)

Aircraft and satellite hyperspectral measurements investigating the radiative impact of atmospheric water vapour

Transcription:

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 [a.u.] 0,005 0,004 0,003 0,002 0,001 0,000 Scattering ratio =1.01-5000 -4000-3000 -2000-1000 0 1000 2000 3000 4000 5000 frequency [MHz] Gauss + Mie Tenti + Mie Challenges for atmospheric lineshape measurements Up to now no direct measurement of Cabannes lineshape in the atmosphere performed; only indirect via wind or temperature measurement Challenging measurement because difference between Gaussian and actual lineshape is only a few % (up to 10% at ground) => requires to sample lineshape in the order of 100 points width of line is in the order 4 GHz FWHM to 6 GHz (total) at 355 nm => sampling with 50 MHz or 21 fm = 21*10-15 m Measured lineshape is convolution of atmospheric spectra and instrumental function => Instrumental function has to be known with high accuracy => analysis with forward model or deconvolution is challenging for noisy measurements Small bandwidth aerosol contribution "contaminates spectra" significantly, because contribution is convoluted with instrumental function

Where measuring the Brillouin effect in the atmosphere? Measurement at a mountain observatory, because it is above aerosol-rich boundary layer especially during high pressure weather conditions in winter => no aerosol contamination possibility of horizontal line-of-sight measurement over distances of 20-30 km => horizontal averaging possible Mountain observatory Schneefernerhaus UFS is at 2650 m ASL and 300 m below Zugspitze summit => ambient pressure from 705 hpa to 730 hpa during campaign, which should be large enough to see Brillouin effect Only small Aerosol scattering disturbances will occur data of the German environmental agency (UBA) shows that the mean particle density on UFS is 500 p/cm 3 compared to 60000 p/cm 3 in the valley. Additional measurements from Microwave Radiometer of horizontal temperature profile and radiosondes from Innsbruck airport (30 km).

BRillouin Atmospheric INvestigation on Schneefernerhaus BRAINS 2009 Use ADM-Aeolus prototype lidar - the ALADIN airborne demonstrator A2D in horizontal pointing geometry with wavelength of 355 nm Zugspitze 2962 m Use of molecular Rayleigh channel with Fabry-Perot interferometer to measure lineshape: drawback is very broad instrument function of 1.7 GHz compared to atmospheric width of 4 GHz (FWHM) or filter function of laboratory setup at VU Amsterdam with 0.23 GHz Keep Fabry-Perot interferometer constant and change laser frequency in discrete steps over lineshape (calibration mode of ADM-Aeolus); monitor laser relative frequency with heterodyne unit and absolute frequency with wavemeter Setup in laboratory together with H 2 O-Differential Absorption Lidar DIAL of FZK/IMK (Trickl, Vogelmann) during a period of 6 weeks in January to March 2009 More than 1000 kg of equipment was brought to the observatory by a cogwheel train

Horizontal LOS measurements of atmosphere and hard-target DIAL A2D altitude [m] 2800 2600 2400 2200 2000 1800 1600 1400 0 2000 4000 6000 8000 10000 distance from Schneefernerhaus [m] Horizontal lidar measurements in nearly pure Rayleigh atmosphere are performed, and therefore averaging over all range gates is possible => increase SNR (assumption that p and T is constant is verified with MTP) Hard Target measurements are possible over a range of 10 km to verify the instrument function with a Mie-type signal in addition to the internal reference signal

Sampling of the atmospheric lineshape and instrument function Atmospheric signal and internal reference for filter transmission is sampled with 240 frequency steps with f =50 MHz (21 fm) over a frequency range of 12 GHz (5.1 pm) 630 laser pulse returns with 60 mj/pulse accumulated for every frequency step Some measurements were performed over 20 GHz with Δf = 50 MHz intensity [a.u] 5000000 4000000 3000000 2000000 atmospheric calibration f =50Mhz - 26.01.2009-17.12 o clock internal reference Airy fit Chi^2/DoF = 2672988684.57369 R^2 = 0.99856 I0 5282893.3054 ±14693.9353 FSR 13328.94598 ±340.00698 FWHM 1634.76056 ±7.06055 f0 6026.36317 ±2.25133 internal reference layer 5 layer 6 layer 7 layer 8 layer 9 layer 10 layer 11 intensity [a.u] 500 400 400 300 300 200 internal reference 1000000 100 100 0 0 2000 4000 6000 8000 10000 12000 frequency [MHz] 0 844740000 844,740 844745000 844,745 844750000 844,750 844755000 844,755 844760000 844,760 84476500 844,765 absolute frequency [THz] [MHz]

How to compare measurements with models? Ongoing PhD thesis by Benjamin Witschas to develop method and analyse measurements from BRAINS T = 253K p = 511,9 hpa y-parameter = 0,23 FSR = 10921 MHz FW HM = 1647,84 MHz --> R = 0,62518 convolution Airy-Gauss convolution Airy-Tenti 1,0 1) Develop accurate instrument function I(f) of the Fabry- Perot Interferometer => relevant for ADM-Aeolus 2) Atmospheric lineshape can be best modelled by Tenti S6: But this is an iterative algorithm, not a function, which can be analytically convoluted with instrument function in order to fit to measurements 3) Calculate expected difference between convolution of instrument function I(f) with Gaussian lineshape G(f)*I(f) and lineshape from Tenti S6 T(f)*I(f) => "fingerprint" of Brillouin scattering 4) Calculate difference between measured lineshape M(f) and Gaussian G(f)*I(f) 5) Compare expected difference (3) or "fingerprint" with measured difference (4) The deviation between Gaussian model and Tenti simulation is up to 5 % and has a characteristic fingerprint. intensity [a.u.] deviation 0,8 0,6 0,4 0,2 0,0 844,750 844,752 844,754 844,756 844,758 844,760 844,762 844,764 0,06 0,04 0,02 0,00-0,02 absolute frequency [THz] -0,04 844,735 844,740 844,745 844,750 844,755 844,760 844,765 844,770 frequency [THz] deviation Gaussian deviation Tenti

rel. deviation (fit and measurement) Is fingerprint of Rayleigh-Brillouin scattering measured? 844,745 844,750 844,755 844,760 0,08 0,06 0,04 0,02 0,00-0,02-0,04 rel. deviation Layer 6 rel. deviation Layer 7 rel. deviation Layer 8 rel. deviation Layer 9 mean rel. deviation Layer 6 to 9 simulation rel. deviation with Gaussian distribution simulation rel. deviation with Tenit S6 distribution 0,08 0,06 0,04 0,02 0,00-0,02-0,04-0,06-0,06 844,745 844,750 844,755 844,760 frequency [THz] The deviations from measurement to Gaussian assumption and simulation with the Tenti S6 model to Gaussian assumption have the same characteristics. The Tenti model describes molecular scattered light (from gas in the kinetic regime) quiet well. We have measured the effect of Brillouin scattering in the atmosphere the first time!

Summary For the first time the lineshape from Rayleigh-Brillouin scattering was measured with high spectral resolution in the atmosphere Method to compare deviations of measurements from Gaussian lineshape and expected from Tenti S6 model was developed including convolution with instrument function Measurements confirm that the atmospheric lineshape deviates from a Gaussian as expected Lineshape and deviations can be modelled with Tenti S6 As an important secondary result an accurate description of the instrument function of the sequential Fabry-Perot interferometer for ADM-Aeolus was obtained: pure Airy-function is not sufficient to describe filter transmission refinement of the model was performed including plate defects similar to an approach by McGill et al. (1997) Next STEPS More than 50 spectral scans have been performed => analysis of spectra for different conditions, e.g. influence of Mie-scattering

Excellent location for meetings