Ceilometer absolute calibration to calculate aerosol extensive properties Giovanni Martucci Alexander Marc de Huu Martin Tschannen.

Slides:



Advertisements
Similar presentations
Proposed new uses for the Ceilometer Network
Advertisements

Radio over fiber.
Chapter Twenty-Four: Fiber Optics
Cloud Radar in Space: CloudSat While TRMM has been a successful precipitation radar, its dBZ minimum detectable signal does not allow views of light.
UPRM Lidar lab for atmospheric research 1- Cross validation of solar radiation using remote sensing equipment & GOES Lidar and Ceilometer validation.
Chromatic Dispersion Measurement methods  Pulse Delay Method (time-of-flight) ‏ IEC / ITU-T G650.1 EIA/TIA-455- FOTP-175-B  Phase Shift Method.
Calibration for LHAASO_WFCTA Yong Zhang, LL Ma on behalf of the LHAASO collaboration 32 nd International Cosmic Ray Conference, Beijing 2011.
Lecture 12 Content LIDAR 4/15/2017 GEM 3366.
A novel concept for measuring seawater inherent optical properties in and out of the water Alina Gainusa Bogdan and Emmanuel Boss School of Marine Sciences,
Remote sensing in meteorology
Work Package 2 – Overview of instrumentation, data gathering and calibration issues Lidar Calibration Ewan O’Connor, Anthony Illingworth and Robin Hogan.
Systematics in the Pierre Auger Observatory Bruce Dawson University of Adelaide for the Pierre Auger Observatory Collaboration.
Planar scintigraphy produces two-dimensional images of three dimensional objects. It is handicapped by the superposition of active and nonactive layers.
1 Stephen SchultzFiber Optics Fall Optical Fibers.
Ben Kravitz November 5, 2009 LIDAR. What is LIDAR? Stands for LIght Detection And Ranging Micropulse LASERs Measurements of (usually) backscatter from.
Fundamental of Fiber Optics. Optical Fiber Total Internal Reflection.
Lidar overlap control as a mean for extended measurement reliability Ilya Serikov, Holger Linné, Friedhelm Jansen, Björn Brügmann, Monika Pfeiffer, Jens.
Measurement of the absolute efficiency,
Lidar remote sensing for the characterization of the atmospheric aerosol on local and large spatial scale.
LIDAR: Introduction to selected topics
SARAN THAMPY D SARAN THAMPY D S7 CSE S7 CSE ROLL NO 17 ROLL NO 17 Optical computing.
Lidar Profiling of the Atmosphere
Chapter 9 Electromagnetic Waves. 9.2 ELECTROMAGNETIC WAVES.
Dense Wavelength Division Multiplexing (DWDM) Technology
EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
B. Gentry/GSFCSLWG 06/29/05 Scaling Ground-Based Molecular Direct Detection Doppler Lidar Measurements to Space Using Wind Profile Measurements from GLOW.
B.-M. Sinnhuber, Remote Sensing I, University of Bremen, Summer 2007 Remote Sensing I Active Remote Sensing Summer 2007 Björn-Martin Sinnhuber Room NW1.
Micro-Pulse Lidar (MPL)
SCM 330 Ocean Discovery through Technology Area F GE.
1 An Observatory for Ocean, Climate and Environment SAC-D/Aquarius HSC - Radiometric Calibration H Raimondo M Marenchino 7th SAC-D Aquarius Science Meeting.
Effects of a Suspended Bottom Boundary Layer on Sonar Propagation Michael Cornelius June 2004.
Károly Róbert College The GREEN College. Remote sensing applications in disaster management Tibor Bíró dean Károly Róbert College Faculty of Natural Resources.
October 4-5, Electron Lens Beam Physics Overview Yun Luo for RHIC e-lens team October 4-5, 2010 Electron Lens.
September 16, 2008LSST Camera F2F1 Camera Calibration Optical Configurations and Calculations Keith Bechtol Andy Scacco Allesandro Sonnenfeld.
Berechnung von Temperaturen aus Lidar-Daten Michael Gerding Leibniz-Institut für Atmosphärenphysik.
M. Körfer, DESY Salzau Light guide dosimeters and loss monitors H. Henschel, J. Kuhnhenn Fraunhofer-Gesellschaft INT M. Körfer, K. Wittenburg.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
Rain Detection & Attenuation for Remote sensing; & auxiliary sensors
Observations of aerosol concentration, properties and chemical composition Sandro Fuzzi Institute for Atmospheric Sciences and Climate National Research.
LIDAR- Light Detection and Ranging  Lidar = “laser-radar”  RADAR-wavelengths: mm, cm  LIDAR-wavelengths: 250 nm-10 μm  Principle: short energetic pulses.
KNMI 35 GHz Cloud Radar & Cloud Classification* Henk Klein Baltink * Robin Hogan (Univ. of Reading, UK)
FIBER OPTIC TRANSMISSION
1 João Espadanal, Patricia Gonçalves, Mário Pimenta Santiago de Compostela 3 rd IDPASC school Auger LIP Group 3D simulation Of Extensive Air.
Monitoring of Eyjafjallajökull Ash Layer Evolution over Payerne- Switzerland with a Raman Lidar Todor Dinoev, Valentin Simeonov*, and Mark Parlange Swiss.
KHz SLR Station Graz Graz kHz LIDAR Georg Kirchner, Franz Koidl, Daniel Kucharski Institute for Space Research SLR Station Graz / Austria Poznan, Oct.
Simulations of various aspects of the PPS Various members of the collaboration, to be enumerated later.
A new method for first-principles calibration
Instrument location ceilo pyro radar 10m Ground-based remote sensing instruments of clouds and precip at Princess Elisabeth.
Charles University Prague Charles University Prague Institute of Particle and Nuclear Physics Absolute charge measurements using laser setup Pavel Bažant,
From science to routine operations – Ceilometer and Lidar networks for cloud and aerosol detection WMO TECO October 2012 W. Thomas Deutscher Wetterdienst.
Light Detection and Ranging(LIDAR) BY: SONU SANGAM USN-1C07EC096 BRANCH-ECE SEM -VIII.
Ball Aerospace & Technologies Corporation -
UNIVERSITY OF BASILICATA CNR-IMAA (Consiglio Nazionale delle Ricerche Istituto di Metodologie per l’Analisi Ambientale) Tito Scalo (PZ) Analysis and interpretation.
Date of download: 6/1/2016 Copyright © 2016 SPIE. All rights reserved. (a) Vision of the Brillouin lidar operated from a helicopter. The center ray represents.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
METR Advanced Atmospheric Radiation Dave Turner Lecture 11.
Aerosol extinction coefficient (Raman method)
LIDAR Ben Kravitz November 5, 2009.
Cost effective power performance testing with nacelle mounted Lidars
Diagnostics of FRIBs beam transport line
Atmospheric Aerosol Characterization using
Emma Hopkin University of Reading
James Donahue EE 444 Fall LiDAR James Donahue EE 444 Fall
Lidar Profiling of the Atmosphere
GAJENDRA KUMAR EC 3rd YR. ROLL NO
Validation of airborne 1
Remote sensing in meteorology
The European network of automatic lidars and ceilometers E-PROFILE
Payerne station operations
CLIC luminosity monitoring/re-tuning using beamstrahlung ?
Presentation transcript:

Ceilometer absolute calibration to calculate aerosol extensive properties Giovanni Martucci Alexander Marc de Huu Martin Tschannen Alain

WHY DO WE NEED AN ABSOLUTE CALIBRATION OF CEILOMETERS? THEY ARE ROBUST AND EASY TO INSTALL THEY CAN BE RUNNED UNATTENDED THEY CAN DERIVE THE ATTENUATED BACKSCATTER THEY ARE ROBUST AND EASY TO INSTALL THEY CAN BE RUNNED UNATTENDED THEY CAN DERIVE THE ATTENUATED BACKSCATTER If an absolute calibration could be performed the potential would be unprecedented. WE MUST THINK BIG, CEILOMETERS ARE GROWING IN NUMBER, VERY FAST! BUT NO ABSOLUTE BACKSCATTER CAN BE CALCULATED DUE TO LACK OF AN ABSOLUTE CALIBRATION

Different networks already exist that gather several of these ceilometers into national and trans-national networks. Examples of such networks are: The national German network of CHM15K created by the Deutscher Wetterdienst (DWD) counting today ~100 ceilometers most of which are profilers (storing the full profile of backscattered signal). The new EUMETNET programme E-PROFILE that is setting up the largest European network of national networks of ALC (Automatic LIDAR and Ceilometers) devices ( profile). If combined in a single network such a high number of ceilometer has the potential to provide a dense and 24H/7D information about the status of aerosol vertical distribution over Europe.

x ov x full x0x0 R T A ceilometer is based on the same principle of a LIDAR. i.e. Light Detection And Ranging. A ceilometer differs from a research LIDAR by the fact that: is normally single-wavelength with reduced power Normally emitting in the near infrared spectrum. Thanks to its reduced dimension and the robustness of the emitter-receiver units, it can be run 24H/7D with little or no maintenance. The LIDAR equation applies to the ceilometer signal exactly like for a normal LIDAR. Over an optical path x 0 – x full, where x 0 is the first range bin and x full is the first range bin of full emitter-receiver overlap, the LIDAR equation is: C, LIDAR constant β, backscatter coefficient, [sr -1 m -1 ] α, extinction coefficient, [m -1 ] O, overlap function When the extinction α can be neglected, β can be calculated only by determining two unknowns: C and O When the extinction α can be neglected, β can be calculated only by determining two unknowns: C and O

Ceilometer absolute calibration feasibility test

Relevant quantities to be calibrated In order of relevance: -The sensitivity to the reflected optical intensity, C -The overlap function between the receiver’s FOV and the Laser beam over the first km (until 100% overlap), O

Working Principle of a Ceilometer /Alain KüngMeeting at MeteoSuisse in Payerne -1-5ns laser pulse of 7-9µJ, 5-7 KHz at =1064nm, Ø=90mm, <0.3mrad -The pulse is scattered on particles (water particles mainly) -The light is collected by the field of view of the telescope (0.45mrad) and analyzed in the time domain (resolution 5-15m) overlap 0% overlap 100% Laser beam FOV Laser pulse

Testbed to determine the sensitivity and the spatial resolution Idea: simulate a reflection of given intensity. - Coupling loss given by the difference in surface area between the laser beam and the optical fiber. 1m Y X Laser beam Ø90mm calibrated photodiode emitter receiver

Testbed to determine the sensitivity Coupling efficiency: for a single mode fiber= (90mm/4.5µm) 2 = -86dB loss → 0.16nW for a multi-mode fiber = (90mm/90µm) 2 = -60dB loss → 65nW If more is needed, a collimation lens with a pinhole in front can be used. 1m Y X Laser beam Ø90mm, 65mW calibrated photodiode emitter receiver

Testbed to determine the overlap function Idea: map the intensity distribution of the laser beam and the FOV at 2 or more planes (1m and 50m) and extrapolate the propagation until 100% overlap. 1m50m1km Y X Y X emitter receiver

Testbed to determine the overlap function Difference between the beam and FOV angle: 150mm/1km=0.15mrad Over 0-50m the measurement needs to be 20x more precise and the uncertainty needs to be 10x smaller. Thus a 0.75µrad resolution is required. Spatial resolution must be 30µm with a 30dB dynamic for the photodetector 1m50m1km Y X Y X 20x 150mm

Design by Martin Tschannen And all this becomes real….

Benefit of the design -The calibration is independent of scattering processes which are not well modeled. -Separates the overlap function (geometry) and the sensitivity -Provides additional calibration of the spatial resolution -Simple design (No high speed electronics, no controlled atmosphere)

What we are looking for -Partners to set up a JRP on remote sensing and aerosols