Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based Measurements and Campaign Database Subgroup Comparisons with GOMOS air-density.

Slides:



Advertisements
Similar presentations
Misura del vapor dacqua in atmosfera mediante Lidar Raman F.Congeduti, P.DAulerio, T.Colavitto, P.Sanò, F.Cardillo (CNR, Istituto di Scienze dellAtmosfera.
Advertisements

Page 1 GOMOS Calibration Review - ESTEC - 10 September 2002 GOMOS Level 2 processing Verification activities Comparison with external sources ESTEC – SEPTEMBER.
ESTO Advanced Component Technology 11/17/03 Laser Sounder for Remotely Measuring Atmospheric CO 2 Concentrations GSFC CO 2 Science and Sounder.
Measured parameters: particle backscatter at 355 and 532 nm, particle extinction at 355 nm, lidar ratio at 355 nm, particle depolarization at 355 nm, atmospheric.
FMI’s special measurement sites - Jokioinen and Sodankylä 1)Basic infrastructure and routine operations 2)Special instrumentation and research Sodankylä.
Chiara Piccolo and Anu Dudhia Atmospheric, Oceanic and Planetary Physics, Department of Physics, Oxford University, Oxford, UK Predicted.
NDACC Working Group on Water Vapor NDACC Working Group on Water Vapor Bern, July 5 -7, 2006 Raman Lidar activities at Rome - Tor Vergata F.Congeduti, F.Cardillo,
Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.
Microwave Activities in Toulouse Erwan Motte Laboratoire d'Aérologie, Observatoire Midi-Pyrénées CNRS, Toulouse, France.
Sven Golchert Institute for Environmental Physics Ground-based Microwave Remote Sensing 1 NDACC Workshop Water Vapour Bern, July 3 rd – 5 th, 2006 Microwave.
Remote Sensing of Pollution in China Dan Yu December 10 th 2009.
6 July 2006First NDACC Water Vapor Working Group Workshop, Bern, Switzerland. 1 NDACC and Water Vapor Raman Lidars Thierry Leblanc JPL - Table Mountain.
LIDAR Development and its Applications at UPRM Getting to understand the planets radiation budget plays an important role in atmospheric studies, and consequently.
Ben Kravitz November 12, 2009 Limb Scanning and Occultation.
LIDAR Light Detection and Ranging Kate Whalen PHY 3903 Nov. 25, 2005.
Ben Kravitz November 5, 2009 LIDAR. What is LIDAR? Stands for LIght Detection And Ranging Micropulse LASERs Measurements of (usually) backscatter from.
Turbulence layers detection from ground-based Rayleigh lidar Alain Hauchecorne 1, and the MMEDTAC Team Charles Cot 1, Francis Dalaudier 1, Jacques Porteneuve.
Validation of OMI UV products: results of two ground UV measurement campaigns in Austria P. Weihs 1, M. Blumthaler 2, H. E. Rieder 1,3,*, A. Kreuter 2,
Water Vapour Intercomparison Effort in the Frame of the Convective and Orographically-Induced Precipitation Study: Airborne-to-Ground-based and airborne-to-airborne.
Herman G.J. Smit/FZJ-COST723-WG-I Overview Noordwijk March 2004 COST723-WG1- Working Group I: Data and Measurement Techniques Overview Herman G.J.
GEWEX/GlobVapour Workshop, Mar 8-10, 2011, ESRIN, Frascati, Italy WATER VAPOUR RAMAN LIDARS IN THE UTLS: Where Are We Now? or “The JPL-Table Mountain Experience”
EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
NARVAL South Lutz Hirsch, Friedhelm Jansen Sensor Synergy While Radars and Lidars provide excellent spatial resolution but only ambiguous information on.
ESF-sponsored Workshop, Cagliari, Sardinia, Italia, October Active protection of passive radio services: towards a concerted strategy Frequency.
SIRTA Site Instrumental de Recherche par Télédétection Atmosphérique Martial Haeffelin SIRTA Coordinator CLOUDNET Meeting, Paris May 2002.
B.-M. Sinnhuber, Remote Sensing I, University of Bremen, Summer 2007 Remote Sensing I Active Remote Sensing Summer 2007 Björn-Martin Sinnhuber Room NW1.
Mike Newchurch 1, Shi Kuang 1, John Burris 2, Steve Johnson 3, Stephanie Long 1 1 University of Alabama in Huntsville, 2 NASA/Goddard Space Flight Center,
Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Monitoring of near-real-time SCIAMACHY, MIPAS, and.
Page 1 Envisat Validation Workshop, ACVT-GBMCD, SCIAMACHY scient. prod. 12/12/2002 Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based.
Boundary layer temperature profile observations using ground-based microwave radiometers Bernhard Pospichal, ISARS 2006 Garmisch-Partenkirchen AMMA - Benin.
Page 1 Validation by Balloons and Aircraft - ESRIN - 9– 13 December 2002 Observations of aerosol and clouds obtained during the M-55 Geophysica ENVISAT.
IHOP Workshop, Boulder, CO, March, 2003 DLR-DIAL Observations Instrument PI: Gerhard Ehret Instrument operation: Gorazd Poberaj, Andreas Fix, Martin.
Page 1ENVISAT Validation Review / GOMOS session - ESRIN – 13th December 2002 ENVISAT VALIDATION WORKSHOP GOMOS Recommendations by the ESL team : Service.
Berechnung von Temperaturen aus Lidar-Daten Michael Gerding Leibniz-Institut für Atmosphärenphysik.
Page 1 Envisat Validation Workshop, ACVT-GBMCD, MIPAS O 3 12/12/2002 Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based Measurements.
Validation by Model Assimilation/Satellite Intercomparison - ESRIN 9–13 December 2002 Expected Validation of Envisat Ozone Data E. Hilsenrath NASA Goddard.
Proprietary Meeting of the Working Group on Space-Based Lidar Winds Sedona, Arizona February 2004 GroundWinds New Hampshire and Hawaii Updates.
SATELLITE OBSERVATIONS OF ATMOSPHERIC CHEMISTRY Daniel J. Jacob.
Key RO Advances Observation –Lower tropospheric penetration (open loop / demodulation) –Larger number of profiles (rising & setting) –Detailed precision.
Airborne/ground-based sensor intercomparison: SRL/LASE Paolo Di Girolamo, Domenico Sabatino, David Whiteman, Belay Demoz, Edward Browell, Richard Ferrare.
Monitoring of Eyjafjallajökull Ash Layer Evolution over Payerne- Switzerland with a Raman Lidar Todor Dinoev, Valentin Simeonov*, and Mark Parlange Swiss.
October 02, st IHOP_2002 Water Vapor Intercomparison Workshop Status of intercomparisons and the next steps  Characterize moisture measuring techniques.
A new method for first-principles calibration
Page 1 Envisat Validation Workshop, ACVT-GBMCD, GOMOS O 3 (r) 12/12/2002 ACVT-GBMCD subgroup GOMOS ozone profiles, analysis of comparison with GMBCD datasets.
Atmospheric Measurements: The Next Generation Laser Remote Sensor Russell Philbrick and Hans Hallen Physics Department and MEAS Department, NC State University,
Page 1 Envisat Validation Workshop, ACVT-GBMCD, MIPAS p&T&H20 12/12/2002 Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based.
Page 1 Validation by Model Assimilation and/or Satellite Intercomparison - ESRIN 9–13 December 2002 Evaluation of Envisat data using a NWP Assimilation.
Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1, H. Volten 2, F. Boersma 1, F. Wittrock 3, A. Richter.
Institut für Meteorologie und Klimaforschung, Bereich Atmosphärische Umweltforschung (IMK-IFU), Garmisch-Partenkirchen.
Atmospheric Monitoring for the MAGIC Telescopes Markus Gaug 1,2, Michele Doro 1,2,3, Daniel Garrido 1,2, Christian Fruck 4 for the MAGIC Collaboration.
Page 1 Envisat Validation Workshop, ACVT-GBMCD, GOMOS altitude-reg. 12/12/2002 Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based.
- EQUAL - Envisat Quality Assessment with Lidar a project to support the long-term validation of SCIAMACHY’s ozone and temperature profiles in opbouw.
Latmos UPMC/CNRS - ILRC 2015
Ozone monitoring with GOMOS-ENVISAT experiment version 6
Regional Radiation Center (RRC) II (Asia)
Huailin Chen, Bruce Gentry, Tulu Bacha, Belay Demoz, Demetrius Venable
Preliminary comparisons of GOMOS and MIPAS ozone products with Odin
LASE Measurements of Water Vapor During IHOP
AO 160 – OZVAL Validation of ENVISAT ozone products through assimilation in the MSDOL model: First results obtained with GOMOS Authors: B. Théodore and.
1. How many layers are there in Earth’s atmosphere
Acknowledgements : R. Bevilacqua and NRL POAM III Science Team
Comparison of other Sciamachy operational products
Instrument operation update (NO science)
Payerne station operations
Eureka Stratospheric Ozone Differential Absorption LIDAR:
An (almost) unexpected way to detect very thin diffuse (aged
Thule (Greenland) 76.5°N °W
GSFC Mobile Lidar Station Report T. McGee, J. Sullivan
Eureka Stratospheric Ozone Differential Absorption LIDAR revived
NDACC Lidar measurements at OHP
Presentation transcript:

Envisat Validation Workshop Atmospheric Chemistry Validation Team Ground-Based Measurements and Campaign Database Subgroup Comparisons with GOMOS air-density and Temperature Profiles Stéphane Marchand, Page 1 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002

Validation Team Projects involved :instruments :validateproduct:  AOID 153 S. PalToronto Lidar T ( 43.66°N, 79.4°W )  AOID 222 K. H. FrickeEsrange Lidar T, HRTP, density ( 67.9°N, 20.1°E )  AOID 300 D. De MuerUccle radio-soundingsT ( 50.8°N, 4.35°E )  AOID 360 P. KeckhutOHP Lidar HRTP ( 43.94°N, 5.71°E )  AOID 9100 F. CongedutiRome lidarT ( 41.83°N, 12.65°E ) Level 2 GOMOS : GOM_NL__2P* Page 2 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002

Page 3 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 Intercomparison of air-density Profile AO Dist. : 184 km Orb star ID : 155 Mv : 2.9 T : 6600 K.

Page 3 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 Intercomparison of air-density Profile AO Orb. 2091/2092 star ID : 18 Mv : T : 9700 K.

Page 3 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 Intercomparison of air-density Profile AO Orb star ID : 84 Mv : T : 4500 K.

Temperature Temperature = 2 products  (low resolution) Temperature : contribution of O 2 band +rayleigh diffusion +atmospheric model ARLETTY (A. Hauchecorne SA/CNES)  High Resolution Temperature (HRTP) : scintillation obtained with photometers Page 4 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002

Intercomparison of (low resolution) Temperature Page 5 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO AO

Intercomparison of (low resolution) Temperature Page 6 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO Dist. : 184 km Orb star ID : 155 Mv : 2.9 T : 6600 K

Page 7 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 Intercomparison of (low resolution) Temperature Some statistical results AO GOM_NL__2P* 18 lidar

Intercomparison of (low resolution) Temperature Page 8 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO /

Intercomparison of (low resolution) Temperature Page 9 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO /

Intercomparison of (low resolution) Temperature Some statistical results Page 10 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO GOM_NL__2* 9 radio-soundings

LIDAR RMR Rome Tor Vergata Lidar site: 41.83°N, 12.65°E, 150 a.s.l Laser beam Emission: 532nm,355nm Energy: 220 mJ, 470 mJ Frequency: 10 Hz RECEIVER ARRAY Telescope, 0.15 m Aerosols and Water Vapor in low troposphere Telescope, 0.3 m Raman Temperature, Water Vapor (MIPAS Temperature & H2O validation) 9-Array telescopes 0.5 m (each) Stratospheric aerosols and temperature (GOMOS and MIPAS Temperature validation) Page 11 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002

Intercomparison of H igh R esolution T emperature P rofile Page 12 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO GOM_NL__2P* star ID : 52 Mv : 2.04 T : 4500 K Star ID : 142 Mv : 2.85 T : 8900 K

Intercomparison of H igh R esolution T emperature P rofile Page 13 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 AO star ID : 81 Mv : 2.36 T : K Dist. 300 km Time delay : few hours

Page 14 Envisat Validation Workshop, ACVT-GBMCD, GOMOS T 12/12/2002 Conclusions difference of performance between dark/bright limb conditions lack of knowledge of the model contribution in these quantities difficult to validate the HRTP (reflection on the spatio-temporal differences) no bias larger than 10% - good bias lesser than 1% between km seems to be good but the validation must continue