Manfred Birk, Georg Wagner Remote Sensing Technology Institute (IMF) Deutsches Zentrum für Luft- und Raumfahrt (DLR) Lorenzo Lodi, Jonathan Tennyson Department.

Slides:



Advertisements
Similar presentations
BBCRDS Measurements of Water Vapour: Inferred Upper Limits for Water Dimer Absorption in the 610 and 750 nm regions A.J.L. Shillings 1, S.M. Ball 2 and.
Advertisements

Water monomer linelists Matt Barber Jonathan Tennyson Department of Physics and Astronomy University College London December 2009.
Modelling Water Dimer Band Intensities and Spectra Matt Barber Jonathan Tennyson University College London 10 th February 2011
Theoretical work on the water monomer and dimer Matt Barber Jonathan Tennyson University College London 13 th May 2010
Analysis of the Visible Absorption Spectrum of I 2 in Inert Solvents Using a Physical Model Joel Tellinghuisen Department of Chemistry Vanderbilt University.
Complementary Use of Modern Spectroscopy and Theory in the Study of Rovibrational Levels of BF 3 Robynne Kirkpatrick a, Tony Masiello b, Alfons Weber c,
D. Chris Benner and V Malathy Devi College of William and Mary Charles E. Miller, Linda R. Brown and Robert A. Toth Jet Propulsion Laboratory Self- and.
Spectral shapes modeling and remote sensing of greenhouse gases. Toward the OCO and GOSAT experiments and future HITRAN issues.
Yu. I. BARANOV and W. J. LAFFERTY Optical Technology Division Optical Technology Division National Institute of Standards and Technology, Gaithersburg,
Victor Gorshelev, A. Serdyuchenko, M. Buchwitz, J. Burrows, University of Bremen, Germany; N. Humpage, J. Remedios, University of Leicester, UK IMPROVED.
Raman Spectroscopy Laser 4880 Å. Raman Spectroscopy.
Pair Identity and Smooth Variation Rules Applicable for the Spectroscopic Parameters of H 2 O Transitions Involving High J States Q. Ma NASA/Goddard Institute.
Georg Wagner, Manfred Birk Remote Sensing Technology Institute (IMF) Deutsches Zentrum für Luft- und Raumfahrt (DLR) Shepard A. Clough Clough Radiation.
New multispectrum fitting software used at DLR for analysis of laboratory Fourier-Transform molecular spectra Joep Loos, Manfred Birk, Georg Wagner German.
Analysis of an 18 O and D enhanced lab water spectrum using variational calculations of HD 18 O and D 2 18 O spectra Michael J Down - University College.
A L INE L IST FOR H YDROGEN S ULPHIDE (H 2 S) Ala’a A. A. Azzam J. Tennyson and S. Yurchencko Department of Physics and Astronomy, University College London,
Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft NDACC H2O workshop, Bern, July 2006 Water vapour profiles by ground-based FTIR Spectroscopy:
Analysis of the 18 O 3 CRDS spectra in the 6000 – 7000 cm -1 spectral range : comparison with 16 O 3. Marie-Renée De Backer-Barilly, Alain Barbe, Vladimir.
The Water Molecule: Line Position and Line Intensity Analyses up to the Second Triad L. H. Coudert, a G. Wagner, b M. Birk, b and J.-M. Flaud a a Laboratoire.
EXPERIMENTAL AND THEORETICAL STUDY OF WATER-VAPOR CONTINUUM ABSORPTION IN THE THZ REGION FROM 0.3 TO 2.7 THZ V.B. PODOBEDOV, D.F. PLUSQUELLIC, K.M. SIEGRIST.
Theoretical work on the water monomer and dimer Matt Barber Jonathan Tennyson University College London September 2009.
Modelling Water Dimer Band Intensities and Spectra Matt Barber Jonathan Tennyson University College London 29 th September 2010
Raman Spectroscopy Laser 4880 Å. Raman Spectroscopy.
 ( ) 0+   ( ) 0–  4 1 Results at 2.5 microns 2 +( ) 1 II (
Jet Propulsion Laboratory California Institute of Technology 1 V-1 11 th HITRAN Conference, Cambridge, MA, June 16-18, 2010 The importance of being earnest.
Simulating the spectrum of the water dimer in the far infrared and visible Ross E. A. Kelly, Matt J. Barber, Jonathan Tennyson Department of Physics and.
Theoretical work on the water monomer Matt Barber Jonathan Tennyson University College London
High-accuracy ab initio water line intensities Lorenzo Lodi University College London Department of Physics & Astronomy.
SPECTRA, an Internet Accessible Information System for Spectroscopy of Atmospheric Gases Semen MIKHAILENKO, Yurii BABIKOV, Vladimir.
IR EMISSION SPECTROSCOPY OF AMMONIA: LINELISTS AND ASSIGNMENTS. R. Hargreaves, P. F. Bernath Department of Chemistry, University of York, UK N. F. Zobov,
LINE PARAMETERS OF WATER VAPOR IN THE NEAR- AND MID-INFRARED REGIONS DETERMINED USING TUNEABLE LASER SPECTROSCOPY Nofal IBRAHIM, Pascale CHELIN, Johannes.
Calculation of rovibrational H 3 + lines. New level of accuracy Slides of invited talk at Royal Society conference on H 3 + Oleg L. Polyansky 1,2 1 Institute.
Remote Sensing Technology Institute 1 HITRAN 2006 Conference, Cambridge MA, June 26th-28th 2006 Water Pressure Broadening: A Never-ending Story Georg Wagner,
Towards perfect water line intensities Lorenzo Lodi University College London, Dept of physics & Astronomy, London, UK.
Explore. Discover. Understand. AIR-BROADENED LINE WIDTHS AND SHIFTS IN THE ν 3 BAND OF 16 O 3 AT TEMPERATURES BETWEEN 160 AND 300 K M. A. H. SMITH and.
Self- and Air-Broadening, Shifts, and Line Mixing in the ν 2 Band of CH 4 M. A. H. Smith 1, D. Chris Benner 2, V. Malathy Devi 2, and A. Predoi-Cross 3.
Laboratory spectroscopy at DLR Manfred Birk, Georg Wagner, Joep Loos German Aerospace Center (DLR) > 2014 GEISA Workshop > J. Loos Laboratory spectroscopy.
UV-Vis Absorption Spectroscopy
“Global Fit” of the high resolution infrared data of D 2 S and HDS molecules O. N. Ulenikov, E. S. Bekhtereva Physical Chemistry, ETH-Zurich, CH-8093 Zurich,
Predicting half-widths and line shifts for water vapor transitions on the HITEMP database Robert R. Gamache a, Laurence S. Rothman b, and Iouli E. Gordon.
Xinchuan Huang, 1 David W. Schwenke, 2 Timothy J. Lee 2 1 SETI Institute, Mountain View, CA 94043, USA 2 NASA Ames Research Center, Moffett Field, CA 94035,
Towards experimental accuracy from the first principles Ab initio calculations of energies of small molecules Oleg L. Polyansky, L.Lodi, J.Tennyson and.
Temperature dependence of N 2 -, O 2 -, and air-broadened half- widths of water vapor transitions R. R. Gamache, B. K. Antony and P. R. Gamache Dept. of.
Yu. I. BARANOV, W. J. LAFFERTY, and G. T. Fraser Optical Technology Division Optical Technology Division National Institute of Standards and Technology,
Evaluation of the Experimental and Theoretical Intensities of Water- Vapor Lines in the 2 µm Region Using Spectra from the Solar- Pointing FTS Iouli Gordon,
Precision Measurement of CO 2 Hotband Transition at 4.3  m Using a Hot Cell PEI-LING LUO, JYUN-YU TIAN, HSHAN-CHEN CHEN, Institute of Photonics Technologies,
Pressure-broadening of water lines in the THz frequency region: improvements and confirmations for spectroscopic databases G. Cazzoli, C. Puzzarini Dipartimento.
Line list of HD 18 O rotation-vibration transitions for atmospheric applications Semen MIKHAILENKO, Olga NAUMENKO, and Sergei TASHKUN Laboratory of Theoretical.
Recent Developments in FT Laboratory Spectroscopy at DLR Manfred Birk, Georg Wagner, Joep Loos German Aerospace Center, Remote Sensing Technology Institute.
Int. Symp. Molecular Spectroscopy Ohio State Univ., 2005 The Ground State Four Dimensional Morphed Potentials of HBr and HI Dimers Collaborator: J. W.
ENERGY LEVELS OF THE NITRATE RADICAL BELOW 2000 CM -1 Christopher S. Simmons, Takatoshi Ichino and John F. Stanton Molecular Spectroscopy Symposium, June.
Experimental Measurements of Collisional Cross Sections and Rates at Astrophysical and Quantum Collisional Temperatures Frank C. De Lucia Department of.
CO 2 Lineshapes Near 2060nm Thinh Q. Bui California Institute of Technology ISMS 2014.
Dispersed fluorescence studies of jet-cooled HCF and DCF: Vibrational Structure of the X 1 A state.
69th Meeting - Champaign-Urbana, Illinois, 2014 FE11 1/12 JPL Progress Report Keeyoon Sung, Geoffrey C. Toon, Linda R. Brown Jet Propulsion Laboratory,
Calculation of lineshape parameters for self- broadening of water vapor transitions via complex Robert-Bonamy theory Bobby Antony, Steven Neshyba* & Robert.
The Orbiting Carbon Observatory (OCO) Mission: Retrieval Characterisation and Error Analysis H. Bösch 1, B. Connor 2, B. Sen 1, G. C. Toon 1 1 Jet Propulsion.
FTS Studies Of The Isotopologues Of CO 2 Toward Creating A Complete And Highly Accurate Reference Standard Ben Elliott, Keeyoon Sung, Charles Miller JPL,
EXPERIMENTAL TRANSMISSION SPECTRA OF HOT AMMONIA IN THE INFRARED Monday, June 22 nd 2015 ISMS 70 th Meeting Champaign, Illinois EXPERIMENTAL TRANSMISSION.
A New Potential Energy Surface for N 2 O-He, and PIMC Simulations Probing Infrared Spectra and Superfluidity How precise need the PES and simulations be?
> ISMS 2017 > Joep Loos • P2355: Experimental line list of water vapor > Experimental line list of water vapor absorption lines in the spectral.
Erin M. Adkins, Zachary D. Reed, and Joseph T. Hodges
Undiscovered errors of Voigt profile beyond tiny W-shaped residuals
Z. Reed,* O. Polyansky,† J. Hodges*
Advertisement.
High-Resolution Spectroscopy and Analysis of the n3/2n4 Dyad of CF4
NH3 measurements in the far-IR
“Brief” update on ACE water vapour
An accurate and complete empirical line list for water vapor
Calculations and first quantitative laboratory measurements of O2 A-band electric quadrupole line intensities and positions 16O2 b(1) ← X (1) PQ(11) magnetic.
Presentation transcript:

Manfred Birk, Georg Wagner Remote Sensing Technology Institute (IMF) Deutsches Zentrum für Luft- und Raumfahrt (DLR) Lorenzo Lodi, Jonathan Tennyson Department of Physics and Astronomy University College London Water intensities: ab initio versus experiment

Introduction Routes to line intensities in spectroscopic databases Minimal approach: Line intensities are derived from laboratory spectroscopy measurements Disadvantage: not all lines included, precision limited by noise Effective Hamiltonian approach: Quantum mechanical data reduction of experimental line intensities Only useful when experimental data are reproduced within their precision Advantage: Intensities for lines not in the experiment can be calculated when avoiding large extrapolation towards higher quantum numbers Further advantages: Noise of experimental line intensities is reduced, experimental line intensities are checked for consistency Pure ab initio approach: Semi-empirical PES, purely ab-initio DMS Advantage: All transitions covered Disadvantage: Experimental validation mandatory

How accurate are ab initio calculations? Intercomparison between ab initio and experimental line intensities required But: Experimental line intensities from different labs often differ outside error margins (see below) Thus: High quality experimental data with known uncertainty needed Best case: At least two experimental data sets from independent labs agree within error margins

Ab initio calculation of H 2 O line intensities Lorenzo Lodi, Jonathan Tennyson, and Oleg L. Polyansky, “A global, high accuracy ab initio dipole moment surface for the electronic ground state of the water molecule”, J. Chem. Phys. 135, (2011). Quality estimate: 2 different PES and DMS  4 combinations  fractional ab initio uncertainty = (largest value/smallest value -1) The authors state line intensity errors of 1% for most lines validated by average agreement with HITRAN 2008 (ab initio/HITRAN=1.01±4.5%, S>1e- 22,11% of HITRAN lines with J<13) and agreement of 15 lines measured with CRDS by Lisak and Hodges (NIST) (ab initio/NIST=1.004±0.6%) But: Systematic line intensity errors in HITRAN 2008 S>1e-22 are very likely Example: Update 2004  line intensities changed up to 6% (see below). Other regions??? Thus, agreement of 1% between ab initio and HITRAN is not very conclusive This work: Intercomparison of ab initio and high quality experimental water line intensities

DLR measurements – strategy Goal: Accurate data with defined error margins Redundancy is important since hidden systematic errors may depend on line width and optical depths. Chi tests and investigation of residuals of redundant data may help to quantify/identify error sources Line intensities retrieved from many measurements with different optical depths (<4) for redundancy Combination of pure water and air-broadened measurements used for increasing redundancy (width and optical depth independently selectable) Influence of instrumental lineshape function is minimized by choosing high resolution Mostly ambient temperature measurements used

DLR measurements – experimental set-up Water/air mixturesPure water

DLR measurements – 1 µm region Multireflection cell at 85 m High signal-to-noise by narrow band pass ( cm -1 ) Double-sided interferograms Line intensity analysis included ambient and non-ambient temperature measurements Line fitting of individual spectra on micro window basis applying speed-dependent Voigt profile yielding line intensities for each measurement and transition

DLR measurements – 1 µm region Line intensities of up to 11 measurements averaged Reference: 1 mb pure water measurement at ambient temperature – 5 mb pure water measurement not used as reference due to insufficient spectral resolution Individual measurements (except reference) scaled for 0% mean measurement omc in averaging Quality check: Temperature/scaling factor (S ref x scaling factor = S meas ) fit from line intensities of individual measurements using averaged line intensities as reference Air-broadened measurements: 7 scaling factors less than 1% off 1, 2 scaling factors between 1 and 2%

Linestrength intercomparison in 1 µm region NIST: cavity ringdown by Daniel Lisak and Joseph T. Hodges HIT: HITRAN 2008, mainly experimental data by Robert A. Toth Excellent agreement DLR-NIST, mostly <1% HITRAN 2008 shows bias and large scatter

Ab initio vs. experiment 1 µm Only transitions shown with experimental precision < 1% Vib transition# of linesMean diff./%Scatter about mean/  meas Mean(  ab initio )/%     

Ab initio vs. experiment 1 µm Bias for entire vibrational bands, cannot be related to experimental error Mean differences of bands up to 9% Larger scatter for  band Isolated outliers with up to 30% difference (see below) Average ab initio uncertainties mostly conservative (exception  0 0 0)

Ab initio vs. experiment 1 µm Largest difference for  0 0 0, 12 0,12  11 0,11 S ab initio - S exp = -26.5%,  Smean = 0.6%,  =1.5,  Sab initio = 1.4% P H2O /mbP tot /mbT/K% peak abs  S /% (S-S mean )/% (S-S mean )/  S In av

Ab initio vs. experiment 1 µm Subband J’’+1 0,J’’+1  J’’ 0,J’’ Ab initio: Resonance at J’’=6, experiment: resonance at J’’=11 Apparently, energy level of resonating states not correctly predicted from PES J‘‘ (  Sab initio )/% (S ab initio – S exp )/%

H 2 16 O linestrength intercomparison in 2 region HIT04: HITRAN 2004, mainly experimental data by Robert A. Toth Lodi: ab initio calculations DLR: 9 pure water, 16 air- broadened measurements, ambient temperature, Voigt profile analysis HITRAN 2004 – DLR differences up to 6% for strong and weak lines Ab initio – DLR agreement 1e  000, 020  010 Ab initio – DLRHITRAN DLR lg(Smin) lg(Smax) %% %unc  ndata %% %unc  ndata

H 2 18 O linestrength intercomparison in 2 region HIT04: HITRAN 2004, mainly experimental data by Robert A. Toth Lodi: ab initio calculations % Lodi-DLR Ab initio - DLRHITRAN DLR lg(Smin) lg(Smax) %% %unc  ndata %% %unc  ndata

Brand new quick-look 3 results obtained by our PhD student Joep Loos Only single pure water measurement analyzed Only 21 transitions, line intensity >1e-19 Ab initio – experiment: mean -0.96%, scatter 0.25% HITRAN 2008 – experiment: mean -2.44%, scatter 0.39%

Conclusion Good agreement of ab initio and DLR experimental line intensities: H 2 16 O, 2, S>1e-23: <2% H 2 18 O, 2, S>1e-23: <2% H 2 16 O, 3, S>1e-19: <1% (preliminary) H 2 16 O, 1 µm region, S>1e-22: <2% Agreement of ab initio and DLR data much better than with older HITRAN versions Good agreement of ab initio and DLR data indicates reliability of both data sources But there exist overtones and combination bands with biases between ab initio and experiment up to 9%. The origin for the differences can be unambiguously attributed to the ab initio calculation Furthermore, singular large differences up to 30% (resonances) and vibrational transition specific scatter related to the ab initio calculations exist Ab initio uncertainties were found to be helpful in assessing data quality. In cases of resonances they may be misleading Further intercomparison between high quality laboratory measurements and ab initio calculations are required