The HITRAN 2008 molecular spectroscopic database

Rothman, Laurence S.; Gordon, Iouli E.; Barbé, A.; Benner, D. Chris; Bernath, Peter F.; Birk, Manfred; Boudon, Vincent; Brown, Linda R.; Campargue, A.; Champion, Jean‐Paul; Chance, K.; Coudert, L. H.; Dana, V.; Devi, V. Malathy; Fally, Sophie; Flaud, J.‐M.; Gamache, Robert R.; Goldman, A.; Jacquemart, D.; Kleiner, Isabelle; Lacome, N.; Lafferty, W. J.; Mandin, J.-Y.; Massie, S. T.; Михайленко, С.Н.; Miller, Christopher E.; Moazzen‐Ahmadi, N.; Naumenko, O. V.; Nikitin, A.V.; Orphal, J.; Perevalov, V.I.; Perrin, A.; Predoi‐Cross, Adriana; Rinsland, C. P.; Rotger, M.; Šimečková, Marie; Smith, Mary Ann H.; Sung, Keeyoon; Tashkun, S.A.; Tennyson, Jonathan; Toth, R. A.; Vandaele, Ann Carine; Auwera, J. Vander

doi:10.1016/j.jqsrt.2009.02.013

Cited by 3,329 publications

(2,217 citation statements)

References 351 publications

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“…Transition frequencies and strengths of (sub)mm transitions are summarized in the Jet Propulsion Laboratory catalog (JPL) 25 and the Cologne Database for Molecular Spectroscopy (CDMS) 26,27 ¶ . Databases for vibrational transitions at infrared wavelengths include the HI-TRAN database 28 and the EXOMOL line lists . The spectroscopy of large samples of PAHs has been determined with matrixisolation studies, with selected PAHs also measured in the gas phase 29 .…”

Section: Laboratory Experimentsmentioning

confidence: 99%

Astrochemistry of dust, ice and gas: introduction and overview

Dishoeck

Ewine²

2014

Faraday Discuss.

138

102

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A brief introduction and overview of the astrochemistry of dust, ice and gas and their interplay is presented, aimed at non-specialists. The importance of basic chemical physics studies of critical reactions is illustrated through a number of recent examples. Such studies have also triggered new insight into chemistry, illustrating how astronomy and chemistry can enhance each other. Much of the chemistry in star- and planet-forming regions is now thought to be driven by gas-grain chemistry rather than pure gas-phase chemistry, and a critical discussion of the state of such models is given. Recent developments in studies of diffuse clouds and PDRs, cold dense clouds, hot cores, protoplanetary disks and exoplanetary atmospheres are summarized, both for simple and more complex molecules, with links to papers presented in this volume. In spite of many lingering uncertainties, the future of astrochemistry is bright: new observational facilities promise major advances in our understanding of the journey of gas, ice and dust from clouds to planets.Comment: Introductory paper for Faraday Discussions 168 conference, April 201

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Section: Laboratory Experimentsmentioning

confidence: 99%

Astrochemistry of dust, ice and gas: introduction and overview

Dishoeck

Ewine²

2014

Faraday Discuss.

138

102

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“…2 of Schneider et al, 2012) as well as four spectral auxiliary microwindows containing CO 2 lines (in order to optimally estimate the temperature from the measured spectra; Schneider and Hase, 2008). We use HITRAN 2008 (High-Resolution Transmission Molecular Absorption Database) spectroscopic parameters (Rothman et al, 2009(Rothman et al, , with 2009, while for the water vapour isotopologues we use parameters that have been adjusted for the speeddependent Voigt line shape (Schneider et al, 2011b O, O 3 , N 2 O, CH 4 , HCl, and C 2 H 6 . For the constraint of the water vapour isotopologue state we construct a priori covariances for humidity and δD (S aH and S aI , respectively; see Eq.…”

Section: The Musica Ndacc/ftir Retrievalsmentioning

confidence: 99%

“…IASI is an infrared Michelson interferometer and covers the spectral range from 645 to 2762 cm −1 (3.62 to 15.5 µm). More instrument details can be found at Clerbaux et al (2009) and August et al (2012) (Rothman et al, 2009(Rothman et al, , with 2009. We also fit the surface temperature and the atmospheric temperature, whereby the a priori temperatures are the EUMETSAT level 2 temperatures.…”

Section: The Musica Metop/iasi Retrievalsmentioning

confidence: 99%

“…As correlation length we assume 2 km in the lower troposphere and increase it linearly to 4 km at 10 km altitude and to 8 km in the stratosphere (at 20 km altitude). (Rodgers, 2000). This is done with great similarity to the characterisation of the MUSICA NDACC/FTIR product as presented in Schneider et al (2012), to which we refer throughout this section as S12.…”

Section: The Musica Metop/iasi Retrievalsmentioning

confidence: 99%

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The MUSICA MetOp/IASI H2O and δD products: characterisation and long-term comparison to NDACC/FTIR data

et al. 2014

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Abstract. Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) ground-and space-based remote sensing as well as in situ data sets of tropospheric water vapour isotopologues are provided. The space-based remote-sensing data set is produced from spectra measured by the IASI (Infrared Atmospheric Sounding Interferometer) sensor and is potentially available on a global scale.Here, we present the MUSICA IASI data for three different geophysical locations (subtropics, midlatitudes, and Arctic), and we provide a comprehensive characterisation of the complex nature of such space-based isotopologue remotesensing products. The quality assessment study is complemented by a comparison to MUSICA's ground-based FTIR (Fourier Transform InfraRed) remote-sensing data retrieved from the spectra recorded at three different locations within the framework of NDACC (Network for the Detection of Atmospheric Composition Change).We confirm that IASI is able to measure tropospheric H 2 O profiles with a vertical resolution of about 4 km and a random error of about 10 %. In addition IASI can observe middle tropospheric δD that adds complementary value to IASI's middle tropospheric H 2 O observations. Our study presents theoretical and empirical proof that IASI has the capability for a global observation of middle tropospheric water vapour isotopologues on a daily timescale and at a quality that is sufficiently high for water cycle research purposes.

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“…In this study, there are two components to the forward model. The first component is the LBLRTM model that takes in an atmospheric profile and computes the ODs of each gaseous species based on spectroscopic information in the HITRAN 2008 database (Rothman et al, 2009). The absorption cross section (σ ) from the LBLRTM, the concentration of the gaseous species ([C]) at various atmospheric heights (z), and the total column-integrated OD of the gas (τ ) are related as follows:…”

Section: Forward Modelmentioning

confidence: 99%

Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit

Natraj

Shia

et al. 2015

Atmos. Meas. Tech.

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Abstract. The Geostationary Fourier Transform Spectrometer (GeoFTS) is designed to measure high-resolution spectra of reflected sunlight in three near-infrared bands centered around 0.76, 1.6, and 2.3 µm and to deliver simultaneous retrievals of column-averaged dry air mole fractions of CO 2 , CH 4 , CO, and H 2 O (denoted XCO 2 , XCH 4 , XCO, and XH 2 O, respectively) at different times of day over North America. In this study, we perform radiative transfer simulations over both clear-sky and all-sky scenes expected to be observed by GeoFTS and estimate the prospective performance of retrievals based on results from Bayesian error analysis and characterization.We find that, for simulated clear-sky retrievals, the average retrieval biases and single-measurement precisions are < 0.2 % for XCO 2 , XCH 4 , and XH 2 O, and < 2 % for XCO, when the a priori values have a bias of 3 % and an uncertainty of 3 %. In addition, an increase in the amount of aerosols and ice clouds leads to a notable increase in the retrieval biases and slight worsening of the retrieval precisions. Furthermore, retrieval precision is a strong function of signal-to-noise ratio and spectral resolution. This simulation study can help guide decisions on the design of the GeoFTS observing system, which can result in cost-effective measurement strategies while achieving satisfactory levels of retrieval precisions and biases. The simultaneous retrievals at different times of day will be important for more accurate estimation of carbon sources and sinks on fine spatiotemporal scales and for studies related to the atmospheric component of the water cycle.

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The HITRAN 2008 molecular spectroscopic database

Cited by 3,329 publications

References 351 publications

Astrochemistry of dust, ice and gas: introduction and overview

Astrochemistry of dust, ice and gas: introduction and overview

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data

Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit

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The HITRAN 2008 molecular spectroscopic database

Cited by 3,329 publications

References 351 publications

Astrochemistry of dust, ice and gas: introduction and overview

Astrochemistry of dust, ice and gas: introduction and overview

The MUSICA MetOp/IASI H&lt;sub&gt;2&lt;/sub&gt;O and δD products: characterisation and long-term comparison to NDACC/FTIR data

Simulated retrievals for the remote sensing of CO&lt;sub&gt;2&lt;/sub&gt;, CH&lt;sub&gt;4&lt;/sub&gt;, CO, and H&lt;sub&gt;2&lt;/sub&gt;O from geostationary orbit

Contact Info

Product

Resources

About

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data

Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit