WP4: Observations from ground networks. Work package 4 OBSERVATIONS FROM GROUND NETWORKS.

Slides:



Advertisements
Similar presentations
EURO4M kick off meeting The CM-SAF expections on EURO4M R.W. Mueller, J. Lennhardt, C.Träger, J. Trentmann DWD.
Advertisements

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 NORS/NDACC.
Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT HYMN September 2007.
M. De Mazière et al., HYMN, May 2007 Status of WP4: FTIR measurements M. De Mazière (BIRA-IASB) K. Petersen, T. Warneke, J. Notholt (U. Bremen)
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft NDACC H2O workshop, Bern, July 2006 Water vapour profiles by ground-based FTIR Spectroscopy:
Task Group 3 AT2 workshop, 30 Sept – 1 Oct 2008 Task Group 3 Achievements and Prospects Ankie Piters, KNMI.
The Atmosphere: Oxidizing Medium In Global Biogeochemical Cycles EARTH SURFACE Emission Reduced gas Oxidized gas/ aerosol Oxidation Uptake Reduction.
Page 1 ENVISAT SYMPOSIUM - Montreux – 23/27 April 2007 Page 1 Stratospheric Distribution of CO 2 from the MIPAS High-resolution Full Mission Bianca Maria.
Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere HYMN 6 month progress meeting K. Petersen, M. De Mazière.
This Week—Tropospheric Chemistry READING: Chapter 11 of text Tropospheric Chemistry Data Set Analysis.
Mexican activities with regard to TEMPO Michel Grutter, Josue Arellano, Alejandro Bezanilla, Martina Friedrich, Arne Kruger, Claudia Rivera and Wolfgang.
LINE PARAMETERS OF WATER VAPOR IN THE NEAR- AND MID-INFRARED REGIONS DETERMINED USING TUNEABLE LASER SPECTROSCOPY Nofal IBRAHIM, Pascale CHELIN, Johannes.
M. De Mazière et al. NDACC Steering Committee, 15-19/10/2012 Progress in the first year of NORS De Mazière Martine, Hocke Klemens, Richter Andreas, Godin-Beekmann.
Institute of Environmental Physics University of Bremen Retrieval of Tropospheric Water Vapour from FTIR Solar Absorption Measurements 1 Department of.
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
ICDC7, Boulder, September 2005 CH 4 TOTAL COLUMNS FROM SCIAMACHY – COMPARISON WITH ATMOSPHERIC MODELS P. Bergamaschi 1, C. Frankenberg 2, J.F. Meirink.
M. De Mazière NDACC SC 2011, Nov. 11, 2011 NORS Demonstration Network Of ground-based Remote Sensing observations in support of the GMES Atmospheric Service.
NORS project (Network Of ground-based Remote Sensing Observation ) Contribution of the CNRS LIDAR team  Maud Pastel, Sophie Godin-Beekmann Latmos CNRS.
FTIR campaigns at Ile de la Réunion Corinne Vigouroux, Martine De Mazière, A.C. Vandaele, E. Neefs, F. Scolas, T. Egerickx, C. Hermans, K. Janssens Belgian.
Infrared Interferometers and Microwave Radiometers Dr. David D. Turner Space Science and Engineering Center University of Wisconsin - Madison
Ankie Piters Royal Netherlands Meteorological Institute Ministry of Infrastructure and Environment Measuring vertical profiles and tropospheric columns.
TRENDS IN ATMOSPHERIC OZONE FROM A LONG-TERM OZONE CLIMATOLOGY Jane Liu 1,2, D. W. Tarasick 3, V. E. Fioletov 3, C. McLinden 3, J. H. Y. Jung 1, T. Zhao.
Global Measurements and Research on Stratospheric Ozone Depletion For The Vienna Convention and Its Protocols: Users, Needs & Requirements Leonard A. Barrie.
Measurement of Thermal Infrared Radiation Emitted by the Atmosphere Using FTIR Spectroscopy By Narayan Adhikari Charles Woodman 5/11/2010 PHY 360.
Randall Martin Space-based Constraints on Emissions of Nitrogen Oxides With contributions from: Chris Sioris, Kelly Chance (Smithsonian Astrophysical Observatory)
1 Partial and total column SFIT2 retrievals from Eureka DA8 and PARIS-IR FTIR spectra in spring 2004 – 2005, including comparisons with the ACE Satellite.
Validating the GHG production chain at multiple levels Julia Marshall (MPI-BGC), Richard Engelen (ECMWF), Cyril Crevoisier (LMD), Peter Bergamaschi (JRC),
AMFIC final meeting LAP/Auth validation activities Dimitris Balis & MariLiza Koukouli Laboratory of Atmospheric Physics Aristotle University of Thessaloniki.
An evaluation method of the retrieved physical quantity deriving from the satellite remote sensing using analysis of variance in experimental design Mitsuhiro.
WP 3 Satellite observations. SCIAMACHY retrieval Month 15: Initial error report Month 18: First dataset for CH4 and CO Incorporation of ECMWF p/T profiles.
Ground-based spectroscopic studies of atmospheric gaseous composition Ground-based spectroscopic studies of atmospheric gaseous composition Yana Virolainen,
Monitoring atmospheric composition using satellite-ground-based synergies P. Ciais (1), C. Textor (1), M. Logan (1), P. Keckhut (2), B. Buchmann (4), S.
Work package 4 OBSERVATIONS FROM GROUND NETWORKS.
CH 4 retrievals : status of Ulg work HYMN Workshop, Totnes, October 2007 Liège team Ph. Demoulin, P. Duchatelet, E. Mahieu, Ch. Servais, S. Trabelsi,
Tony Clough, Mark Shephard and Jennifer Delamere Atmospheric & Environmental Research, Inc. Colleagues University of Wisconsin International Radiation.
Retrieval of Methane Distributions from IASI
ENEON first workshop Observing Europe: Networking the Earth Observation Networks in Europe September, Paris Total Carbon Column Observing Network.
SPEAKERS: Gabriele Pfister, Scientist III, National Center for Atmospheric Research (NCAR) Brad Pierce, Physical Scientist, NOAA Salient Questions: 1.What.
Spectroscopic Study of Atmospheric Trace Gases Using PARIS-IR from Waterloo Atmospheric Observatory in 2005 and 2006 Dejian Fu, Kaley Walker, Keeyoon Sung,
November 2008 Philippe Keckhut Service d’Aéronomie/IPSL P. Ciais, C. Textor, M. Logan, CEA/LSCE, F ; E. G. Nisbet, RHUL, UK ; B. Buchmann,
Validation of OMI NO 2 data using ground-based spectrometric NO 2 measurements at Zvenigorod, Russia A.N. Gruzdev and A.S. Elokhov A.M. Obukhov Institute.
University of Liège (ULg) activities based on long-term FTIR observations performed at the Jungfraujoch station Jungfraujoch, 46.5°N, 8.0°E, 3580m alt.
Project full title: " Demonstration Network Of ground-based Remote Sensing Observations in support of the GMES Atmospheric Service "
Measurement of the Long-term trends of Methanol (CH 3 OH) and Carbonyl Sulfide (OCS) Both methyl chloride and carbonyl sulfide have strong infrared bands.
SNV Johan Mellqvist, Elisabeth Undén and Anders Strandberg Radio and Space Science Chalmers University of Technology Göteborg.
10-11 October 2006HYMN kick-off TM3/4/5 Modeling at KNMI HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the.
Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee.
A new spectroscopic observatory in Créteil to measure atmospheric trace gases in solar occultation geometry C. Viatte, P. Chelin, M. Eremenko, C. Keim,
ICDC7, Boulder September 2005 Estimation of atmospheric CO 2 from AIRS infrared satellite radiances in the ECMWF data assimilation system Richard.
Comparisons CH 4 SCIAMACHY / GROUND-BASED FTIR B. Dils, BIRA + HYMN partners Corinne Vigouroux, BIRA, HYMN progress meeting, 7-8 April 2008.
1 Examining Seasonal Variation of Space-based Tropospheric NO 2 Columns Lok Lamsal.
1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,
HYMN 2nd annual meeting FTIR Introduction/Overview A.K. Petersen, J. Notholt, T. Warneke Hydrogen, Methane and Nitrous oxide: Trend variability, budgets.
HYMN FTIR-WG meeting J. Notholt, M. De Mazière, K. Petersen Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere.
1 Atmospheric Radiation – Lecture 13 PHY Lecture 13 Remote sensing using emitted IR radiation.
ATOC Nov Radiative Forcing by Greenhouse Gases and its Representation in Global Models William Collins National.
Satellite Remote Sensing of the Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University.
WESTERN AFRICA MISSION (WAM): An AURA Collaborative Science Mission Planning Committee: D.J. Jacob, E.V. Browell, W.H. Brune, J.H. Crawford, J.A. Logan,
Ground-based measurements made with PARIS-IR during the ACE Canadian Arctic Validation Campaign in 2004 and 2005 Keeyoon Sung, Kaley Walker, Chris Boone.
HYMN: Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT TM4 model evaluations
Voltaire The Total Carbon Observing Network: Measurement of Non-CO 2 GHG Washenfelder Yavin.
Ann Mari Fjæraa Philipp Schneider Tove Svendby
Tuning the retrieval: treat or cheat Klemens Hocke, Simone Studer
Carbon monoxide from shortwave infrared measurements of TROPOMI: Algorithm, Product and Plans Jochen Landgraf, Ilse Aben, Otto Hasekamp, Tobias Borsdorff,
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Space-based Diagnosis of Surface Ozone Sensitivity to Anthropogenic Emissions Randall Martin Aaron Van Donkelaar Arlene Fiore.
Diurnal Variation of Nitrogen Dioxide
Kelly Chance Smithsonian Astrophysical Observatory
By Narayan Adhikari Charles Woodman
Presentation transcript:

WP4: Observations from ground networks

Work package 4 OBSERVATIONS FROM GROUND NETWORKS

Remote sensing Measurement of the modification of the solar radiation by the atmosphere

Wellenlänge (  m) N2ON2O N2ON2O O3O3 O3O3 O3O3 O3O3 wavenumber (cm -1 ) wavelength (  m) intensity (arb. Units)

Activities: -Perform solar absorption measurements in the mid-infrared spectral region at the 7 European NDACC stations spanning latitudes from 28°N to 80°N, throughout the duration of the project, at a minimal frequency of about 1 meas./week -Perform solar absorption measurements at Ile de La Réunion during a 3-months campaign -Optimise the retrieval of CH 4 in the mid-infrared spectral region -Evaluate the error budget of CH 4 and N 2 O vertical profile data -Provide a consistent set of total column densities and vertical profiles of CH 4 and N 2 O for model evaluation and satellite validation -Validate and calibrate the SCIAMACHY and infrared satellite measurements

Heritage of UFTIR ( , coordinator: BIRA, Martine deMaziere) UFTIR: EC project including all European FTIR partners that are also in HYMN, as well as Univ. Oslo

Objectives of UFTIR:  Establish common strategy for retrieval and characterisation of the vertical distributions of the target gases from FTIR ground-based measurements - optimise retrieval for each target gas.  Re-analysis of existing time series for evaluation of trends and associated uncertainties in troposphere (and stratosphere); a bootstrap resampling method has been used for trend analysis  Integrate burdens and trend data in tropospheric model assessments - to improve models and verify consistencies with known emissions; the model used is the Oslo 3D model ‘CTM2’ of Univ. Oslo The target molecules were CO, O 3, C 2 H 6, HCFC-22, N 2 O and CH 4

Example: UFTIR settings for CH 4 retrieval:  Retrieval in 5 microwindows simultaneously : cm -1 ; cm -1 ; cm -1 ; cm -1 ; cm -1.  Interfering species: HDO, N 2 O, CO 2  DoF  3  Relative error on tropo- column  10% !! BUT spectroscopy problems : inconsistencies are found between different microwindows, affecting the retrieved profile shapes

Trend of tropospheric and stratospheric column abundances wrt 2000? Significantly positive: ranges from (0.1  0.05 )%/yr to (0.6  0.1 )%/yr ; except for tropo- column at Izana: (±0.09) )%/yr reasonably good agreement with UiO 3D model simulations Seasonal variation is obvious Consistent data sets; possibly not optimal yet... UFTIR data set for CH 4 (total column) :

UFTIR settings for N 2 O retrieval  DoF  4.5  relative error on tropospheric column  %

UFTIR data set for N 2 O (total column) Trend: significantly positive, in agreement with the surface trend of +(0.25  0.05) %/yr reported in IPCC 2003 based on in-situ observations

Current situation for CH 4 :  UFTIR: Optimal microwindows determined for profile retrieval  Total column precision: Near-IR: < 0.5 % (reference gas O 2 ) (Washenfelder et al, 2003) Mid-IR: 0.5% achievable, but not thoroughly investigated  Tropospheric column: Near-IR: < 0.5 % using HF (Washenfelder et al, 2003) Mid-IR: ~ % (UFTIR), use of HF ?  No consistent dataset available  Lack of measurements and validation in the tropics  Accuracy ? To be done in HYMN: Continuation of measurements at the European NDACC sites Performing measurement campaigns in the tropics Optimisation of the total column retrieval of CH 4 in the mid-IR Evaluation of the error budget of vertical profile data (CH 4 and N 2 O) Provision of a consistent set of total column densities and vertical profiles of CH 4 and N 2 O for model evaluation and satellite validation. Validation of the SCIAMACHY and IASI satellite measurements.