FTIR. Network for the Detection of Atmospheric Composition Change (NDACC) Primary Site 47 N, 11 E, 2964 m a.s.l.

Similar documents
Results for the stratosphere

Institute of Meteorology and Climate Research (IMK-ASF)

Ground-based validation of altitude, temperature, and four primary trace gas products of the operational MIPAS Level-2 processor

The Pandonia network for ground validation of satellite-derived trace gas products

using GPS radio occultation data

Differences in trends and anomalies of upper-air observations from GPS RO, AMSU, and radiosondes

Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming in the MERRA-2 analysis

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*

Composition, Chemistry and Transport in the UT/LS during the Asian Monsoon: Results from the IAGOS-CARIBIC Observatory

CFCs and Stratospheric Ozone. F. Sherwood Rowland Tokyo, Japan October 5, 2007

Airborne Coherent Wind Lidar measurements of vertical and horizontal wind speeds for the investigation of gravity waves

Preparation of the ADM-Aeolus mission using 355nm high spectral resolution Doppler LIDAR and a Doppler cloud radar

The AirCore Profiler. methods, challenges, applications and updates

High Water Vapor and Associated Signatures from MLS in the Monsoon Lower Stratosphere: Implications for Posited Ozone Destruction

Assimilation of EOS Aura ozone data at the Global Modeling and Assimilation Office

ASAP Satellite-based tropopause fold and mountain wave detection and validation

SEA SURFACE TEMPERATURE RETRIEVAL USING TRMM MICROWAVE IMAGER SATELLITE DATA IN THE SOUTH CHINA SEA

Assessing the quality of Synthetic Aperture Radar (SAR) wind retrieval in coastal zones using multiple Lidars

UTLS Asian monsoon anticyclone

Emission Inventory Evaluation Using DISCOVER-AQ Aircraft Data

FTIR Users Group Meeting FTIR development

Executive Summary of Accuracy for WINDCUBE 200S

High Resolution Sea Surface Roughness and Wind Speed with Space Lidar (CALIPSO)

Continuous Gas Analysis In situ laser gas analyzers TÜV and MCERTS add-on for LDS 6 operating instructions Compact Operating Instructions

Kelvin waves as observed by Radiosondes and GPS measurements and their effects on the tropopause structure: Long-term variations

Development of SAR-Derived Ocean Surface Winds at NOAA/NESDIS

Mesoscale Atmospheric Systems. Upper-level fronts. 13 and 20 March 2018 Heini Wernli. 13 March 2018 H. Wernli 1

ACAM 2017 Guangzhou 5-9 June 2017 R. Müller and B. Vogel et al.

Contribution of French research teams to ADM Cal/Val

Increased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign

Extreme waves in the ECMWF operational wave forecasting system. Jean-Raymond Bidlot Peter Janssen Saleh Abdalla

1 st Tidal and Water Level Working Group Meeting DHN, Niteroi, Brazil 31/03/09 02/04/09 Vertical Offshore Reference Framework (VORF) Chris Jones

Tropopause-following analysis of water vapour and ΔD for the monsoon systems and the tropics

Electrochemical Sensor

Available online at ScienceDirect. Energy Procedia 53 (2014 )

ERS WAVE MISSION REPROCESSING- QC SUPPORT ENVISAT MISSION EXTENSION SUPPORT

Global Structure of Brunt Vaisala Frequency as revealed by COSMIC GPS Radio Occultation

Department of Physics, University of Toronto. Thanks: Ted Shepherd, James Anstey, Stephen Beagley, Michaela Hegglin

A robust method for tropopause altitude identification using GPS radio occultation data

Recent variability of the tropical tropopause inversion layer

Role of Daily and Inter Annual Variability in Boundary Conditions on surface air quality in the WUS Dan Jaffe, University of Washington

Using DDT. Debugging programs with DDT. Peter Towers. HPC Systems Section. ECMWF January 28, 2016

The RSS WindSat Version 7 All-Weather Wind Vector Product

Using DDT. Debugging programs with DDT. Peter Towers. HPC Systems Section.

Observing the upper troposphere and lower stratosphere with GPS

Climate Change and Offshore Wind in New York State

Wade Reynolds 1 Frank Young 1,2 Peter Gibbings 1,2. University of Southern Queensland Toowoomba 4350 AUSTRALIA

Lifting satellite winds from 10 m to hub-height

WindProspector TM Lockheed Martin Corporation

Viva TPS. TS11/15 Total Stations Check and Adjust Procedure. October Summary

Electronic Volume Correctors

Sea Surface Temperature (SST) in South China Sea Retrieved from Chinese Satellite FY-3B VIRR Data

Surrounding buildings and wind pressure distribution on a high rise building

Innovative gas and outgassing analysis and monitoring

Introduction EU-Norsewind

Department of Physics, University of Toronto. Thanks: James Anstey, Stephen Beagley, Erich Becker, Michaela Hegglin, Paul Kushner

The FLUX-METER: implementation of a portable integrated instrumentation for the measurement of CO 2 and CH 4 diffuse flux from landfill soil cover.

Oxygen sounding thermal profiler for ALMA

TG-119 IMRT Commissioning Tests Instructions for Planning, Measurement, and Analysis Version 10/21/2009

MEMORANDUM. City Constituents. Leilani Schwarcz, Vision Zero Surveillance Epidemiologist, SFDPH

Exercise: Satellite Imagery Analysis. 29 June 2016 Japan Meteorological Agency

Sea-Bird Scientific Carol Janzen, Ph.D. Oceanography David Murphy, M.S.E.E. Dan Quittman, M.S.E.E.

Update of the COST726 Total Ozone Data Base up to December 31, 2008

Thermodynamic Boundary Layer profiles

TRIAXYS Acoustic Doppler Current Profiler Comparison Study

DIRECTION DEPENDENCY OF OFFSHORE TURBULENCE INTENSITY IN THE GERMAN BIGHT

This test shall be carried out on all vehicles equipped with open type traction batteries.

MATRIX-MG Series. Innovation with Integrity. Automated High-Performance Gas Analyzers FT-IR

Traceable calibration of automatic weighing instruments in dynamic operation

Use of Doppler LIDAR for measuring the vertical profiles of wind speed at a coastal site

ACCURATE PRESSURE MEASUREMENT FOR STEAM TURBINE PERFORMANCE TESTING

Model-based Adaptive Acoustic Sensing and Communication in the Deep Ocean with MOOS-IvP

Satellite Observations of Equatorial Planetary Boundary Layer Wind Shear

Comparative temperature measurements in an experimental borehole heat exchanger. Vincent Badoux 1, Rita Kobler 2

Laboratory Hardware. Custom Gas Chromatography Solutions WASSON - ECE INSTRUMENTATION. Custom solutions for your analytical needs.

A review of best practices for Selection, Installation, Operation and Maintenance of Gas meters for Flare Applications used for Managing facility

Laboratory Hardware. Custom Gas Chromatography Solutions WASSON - ECE INSTRUMENTATION. Engineered Solutions, Guaranteed Results.

Airborne wind lidar campaigns for preparation of the Aeolus mission Oliver Reitebuch

Validation of Measurements from a ZephIR Lidar

JCOMM Pilot Project on Wave measurement Evaluation and Test from moored buoys. Val Swail and Bob Jensen, Co-Chairs

Gravity waves and bores. Material kindly provided by Dr. Steven Koch GSD NOAA (Boulder, CO)

Traffic Parameter Methods for Surrogate Safety Comparative Study of Three Non-Intrusive Sensor Technologies

TESTING AND CALIBRATION OF VARIOUS LiDAR REMOTE SENSING DEVICES FOR A 2 YEAR OFFSHORE WIND MEASUREMENT CAMPAIGN

Toward a global view of extratropical UTLS tracer distributions. SPARC GA Sept Michaela I. Hegglin University of Toronto, Canada

ENVISAT WIND AND WAVE PRODUCTS: MONITORING, VALIDATION AND ASSIMILATION

THE POLARIMETRIC CHARACTERISTICS OF BOTTOM TOPOGRAPHY RELATED FEATURES ON SAR IMAGES

Global observations of stratospheric gravity. comparisons with an atmospheric general circulation model

Tropical temperature variance and wave-mean flow interactions derived from GPS radio occultation data

Fibre Selection Guide

Seasonal predictions of equatorial Atlantic SST in a low-resolution CGCM with surface Heat Flux Correction

Systematic Errors in the Hydrographic Data and Their Effect on Global Heat Content Calculations

Strategic Advice about Floating LiDAR Campaigns. Borssele offshore wind farm

Lab 3 Introduction to Quantitative Analysis: Pumps and Measurements of Flow

Standard Operating Procedure for H 2 S and SO 2 Converter

Bias assessment of MODIS/MISR winds

INDEPENDENT TESTING OF SPARKLIKE LASER NON-DESTRUCTIVE INSULATING GLASS GAS FILL ANALYZER

LOW LAYER WIND SHEAR OVER DAKAR

WIND DATA REPORT. Bourne Water District

Series 7250 Ruska High-Speed Digital Pressure Controller. GE Sensing. Features

CHANGE OF THE BRIGHTNESS TEMPERATURE IN THE MICROWAVE REGION DUE TO THE RELATIVE WIND DIRECTION

Transcription:

FTIR Network for the Detection of Atmospheric Composition Change (NDACC) Primary Site 47 N, 11 E, 294 m a.s.l.

Zugspitze: NDACC operational since 1995 1 meas. days during last months O 3, ClONO 2, HCl, HF, COF 2, HNO 3, NO 2, CO, CH 4, N 2 O, C 2 H, CFC-22, H 2 O FTIR IFU Zugspitze 294 m Garmisch: TCCON 2004: 94 meas. days 2005: 7 meas. days 200: 13 meas. days 2007: 42 meas. days CH 4 /O 2, CO 2 /O 2 Differential FTIR with Zugspitze: O 3, CO, CH 4, N 2 O, C 2 H, CFC-22, H 2 O IFU FTIR IFU Garmisch 734 m

Zugspitze retrievals: SFIT2.39, batches transferred to Linux Parallel Processing IMK-IFU Linux-Cluster Prozessortyp knots communication AMD Athlon MP 2200+ 24 Myrinet 2000 Intel Xeon 3 GHz 9 Gigabit Ethernet Intel XeonEMT4 3.2 GHz 94 Gigabit Ethernet Software-Configuration Linux-Cluster: Compiler: Portland Group C/C++ und Fortran INTEL C/C++ und Fortran Parallelisierungsmethoden MPI-CH (MPI Version 1.2 & 2.0) LAM-MPI OpenMP (Shared Memory) Job-Verwaltungssystem OpenPBS & Maui

Retrieval of atmospheric profiles: CO CO a priori profile ensemble CO a priori covariance 24 22 20 1 1 4 2 0 CO aircraft profiles 0 50 0 150 200 250 300 350 CO volume mixing ratio [ppbv] 24 22 20 1 1 4 2 0 0 2 4 1 1 20 22 24-0.13-0.0-0.05-0.04-0.03-0.02-0.01-0 - -0.01

CO profiles from Zugspitze FTIR: Characterization 24 22 20 1 1 Zugspitze a priori ensemble (aircraft) retrieved ensemble (Zugspitze FTIR) 24 22 20 1 1 24.5 km 13.5 km 23.5 km.5 km 22.5 km 11.5 km 21.5 km.5 km 20.5 km 9.5 km 19.5 km.5 km 1.5 km 7.5 km 17.5 km.5 km 1.5 km 5.5 km 15.5 km 4.5 km.5 km 3.5 km 24 22 20 1 1 2.94 4 2.94 4 0 50 0 150 200 250 300 CO volume mixing ratio [ppbv] 0.0 0.2 0.4 averaging kernel 0 1 area 4

CO Total Column Anomaly 1. 1.5 1.4 1.3 1.2 1.1 1.0 0.9 Zugspitze Total CO Anomaly (reference period Mar 2000-Feb 2002) monthly means 0. 199 1997 199 1999 2000 2001 2002 2003 2004 2005 200 2007

Primary Site Report: Zugspitze FTIR Period(s) covered in data archiving at NDACC DHF: 1995-2005 HF columns: 03/1995-0/2005 HCl columns: 0/1995-11/2001 ClONO 2 columns: 07/199-11/2001 O 3 columns: 07/1995-09/2004 N 2 O columns: 07/1995-09/2004 CH 4 columns: 03/1995-09/2004 CO columns: 0/1995-0/2005 C 2 H columns: 0/1995-09/2004

Primary Site Report: Zugspitze FTIR Name, date, and location of last intercomparison and/or validation: 199 intercomparison with Jungfraujoch: coincident measurements and blind independent analyses of HF, HCl. Agreement within 2 per cent In 2001 evaluation of the Zugspitze time series since 1995 of HCl and ClONO 2, and comparison to the Jungfraujoch series; showed very good overall agreement! In 2002 we compared in preparation for ENVISAT Validation columns of N 2 O, CO, CH 4, NO 2, O 3 to coincident Jungfraujoch data. E.g., N 2 O agreed within 1 %! Intense 3 months water vapor validation campaign at Zugspitze (mid Aug mid Nov 2002) with permanent FTIR water vapor measurements compared to 4 radio sondes launched on site daily and permanent GPS water column measurements on site. Very good agreement of FTIR to sonde columns within a few per cent! Detailed FTIR validation study also relative to GPS measurements performed. In spring 2003 comparison of the Zugspitze time series (199-2002) of CO to the Jungfraujoch series; showed very good overall agreement! N 2 O trop. columns trend (1995-2004): Zugspitze 0.1 %/yr, Jungfraujoch 0.23 %/yr ENVISAT validation: Learned much about precision of CO, CH 4, NO 2 as measured by FTIR Comparison of Zugspitze HF, COF 2, HCl and ClONO 2 to KASIMA model

Montreal Protocol: O 3 at Zugspitze 700 50 00 550 Zugspitze FTIR KASIMA model KASIMA: Ruhnke, Wiehle O 3 column [DU] 500 450 400 350 300 250 200 150 0 1995 199 1997 199 1999 2000 2001 2002 2003 2004 2005 200 2007

Montreal Protocol (stratospheric F y ): HF at Zugspitze 3.5 KASIMA: Ruhnke, Wiehle 3.0 2.5 2.0 1.5 1.0 0.5 0.0 1972 1974 197 197 190 192 194 19 19 1990 1992 1994 199 199 2000 2002 2004 200 HF column [ 15 molecules/cm 2 ] Zugspitze FTIR KASIMA model

Montreal Protocol (stratospheric F y ): COF 2 at Zugspitze KASIMA: Ruhnke, Wiehle 7.5 7.0.5.0 5.5 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 1972 1974 197 197 190 192 194 19 19 1990 1992 1994 199 199 2000 2002 2004 200 COF 2 column [ molecules/cm 2 ] Zugspitze FTIR KASIMA model

Montreal Protocol (stratospheric Cl y ): HCl at Zugspitze KASIMA: Ruhnke, Wiehle 9 7 5 4 3 2 1 0 1972 1974 197 197 190 192 194 19 19 1990 1992 1994 199 199 2000 2002 2004 200 HCl column [ 15 molecules/cm 2 ] Zugspitze FTIR KASIMA model

Montreal Protocol (stratospheric Cl y ): ClONO 2 at Zugspitze 5 4 3 2 1 0 1972 1974 197 197 190 192 194 19 19 1990 1992 1994 199 199 2000 2002 2004 200 ClONO2 column [15 molecules/cm 2 ] KASIMA: Ruhnke, Wiehle Zugspitze FTIR KASIMA model

Contribution to NDACC ad hoc group on water vapor (Bern 200) Garmisch radio sonde profiles Water vapor profiles with Zugspitze FTIR: A priori information used (I) 4 2 0.734 0.000 0.005 0.0 0.015 0.020 volume mixing ratio

Contribution to NDACC ad hoc group on water vapor (Bern 200) Water vapor profiles with Zugspitze FTIR: A priori information used (II) water vapor covariance - 0.44-0.40 water vapor variability (stdv) - 0.35-0.30-0.25-0.20-0.15 4-0. 4 2 0.734 0.734 2 4 Unit: covariances of VMR-layer scaling factors - 0.05-0 2 0.734 0 20 30 40 50 0 70 standard deviation of H 2 O variability [%] VMR

Water vapor profiles with Zugspitze FTIR: Averaging kernels 1 mm water vapor column dofs 3 (snr 0) dofs-1-layers: 3-4 km 4-7 km 7 15 km 4 2.94-0,4-0,2 0,0 0,2 0,4 0, 0, 1,0 averaging kernel

Water vapor profiles with Zugspitze FTIR: Smoothing error 2 24 22 20 1 1 2.94 4 mm water vapor column 1 mm water vapor column stdv of true water vapor variability 0 20 40 0 0 0 0 0 10 smoothing error [%] Smoothing error / altitude range does not depend upon absolute column level

Water vapor profiles with Zugspitze FTIR: Retrieved profile versus sonde 24 22 20 1 1 FTIR radio sonde snr = 179.151 column = 1.3 mm 24 22 20 1 1 FTIR radio sonde snr = 174.032 column = 1.51 mm 2.94 4 2.94 4 2.94 4 0 500 00 1500 2000 0 500 00 1500 2000 0 500 00 1500 2000 H 2 O volume mixing ratio [ppm] H 2 O volume mixing ratio [ppm] H 2 O volume mixing ratio [ppm] 24 22 20 1 1 FTIR radio sonde snr = 13.92 column = 1.5 mm 24 22 20 1 1 FTIR radio sonde snr = 154.527 column = 2.22 mm 24 22 20 1 1 FTIR radio sonde snr =.952 column = 2.17 mm 2.94 4 2.94 4 2.94 4 0 500 00 1500 2000 0 500 00 1500 2000 0 500 00 1500 2000 H 2 O volume mixing ratio [ppm] H 2 O volume mixing ratio [ppm] H 2 O volume mixing ratio [ppm] 24 22 20 1 1 FTIR radio sonde snr = 155.93 column = 2.9 mm

Water vapor profiles with Zugspitze FTIR: Synergistic combination with H 2 O lidar Water vapor lidar Zugspitze: H. Vogelmann, T. Trickl, IMK-IFU Zugspitze Summit Schneefernerhaus FTIR 292m 275m Requirements: - Range km asl. (Tropopause) - Relative errors less than ca. 5% - Vertical resolution ca. 50m to 300m - Measurements at all daytimes Method: - Differential absorption LIDAR (DIAL) Advantages versus Raman-Lidar: - Daylight capability capture intrusion events without daytime interruptions! - Selfcalibrating technique pre-requisite for trend measurements! Major challenge: -High power widely tunable narrow-band laser system had to be developed

Zugspitze/Garmisch instrumentation for water vapor In situ FTIR IFU GPS Zugspitze, 294 m LIDAR IFU e.g., EPS/MetOp-IASI validation, ESA/EUMETSAT RAO-project started 200 IFU FTIR GPS In situ IFU Garmisch, 734 m Radio sondes

Primary Site Report: Zugspitze FTIR Matter(s) that need to be discussed during SC meeting: - List of publications that appeared during the reporting period: Dils, B., De Mazière, M., Blumenstock, T., Buchwitz, M., de Beek, R., Demoulin, P., Duchatelet, P., Fast, H., Frankenberg, C., Gloudemans, A., Griffith, D., Jones, N., Kerzenmacher, T., Kramer, I., Mahieu, E., Mellqvist, J., Mittermeier, R.L., Notholt, J., Rinsland, C.P., Schrijver, H., Smale, D., Strandberg, A., Straume, A.G., Stremme, W., Strong, K., Sussmann, R., Taylor, J., van den Broek, M., Wagner, T., Warneke, T., Wiacek, A., Wood, S.: Comparisons between SCIAMACHY and ground-based FTIR data for total columns of CO, CH 4, CO 2 and N 2 O, Atmos. Chem. Phys.,, 1953-193, 200. Sussmann, R. and Borsdorff, T.: Interference errors in infrared remote sounding of the atmosphere, Atmos. Chem. Phys. Discuss.,, 13027-13073, 200.

Primary Site Report: Zugspitze FTIR Funding status (instrument and facility): good Permanent 0 % basic funding by Helmholtz Society of German Research Centers plus several projects: 1. EC-HYMN (CH 4, N 2 O, new 200) 2. EC-GEOMON (Cl y, F y, new 200) 3. Pole - Equator - Pole (PEP), Variability of atmospheric trace constituents along a North-South Transect (German Helmholtz Society Impuls und Vernetzungsfond for the creation of a virtual institute, ongoing) 4. TASTE (ENVISAT long-term validation, ESA-funded, new 200) 5. ESA/EUMETSAT project EPS/MetOp-IASI and -GOMEII validation, new, unfunded

Summary Zugspitze FTIR Primary Site Report 1 measurements days/yr, archiving nearly up to date, well funded, 2 papers transferred SFIT2-batches to Linux Parallel Processing contributed to NDAC ad hoc working group on water vapor (Bern 200) very recently updated Zugspitze CO, O 3, HF, COF 2, HCl, ClONO 2 series KASIMA IMK-IFUmodel Garmisch-Partenkirchen comparison (Cl Zugspitze y, F y, OPrimary 3 ) looks Site Report fine