References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-11-11207-2011

Optimal estimation of tropospheric H2O and δD with IASI/METOP

Schneider

¹ ² Hase

Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany

Agencia Estatal de Meteorología (AEMET), CIAI, Santa Cruz de Tenerife, Spain

10 11 2011

11 21 11207 11220

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We present optimal estimates of tropospheric H2O and δD derived from radiances measured by the instrument IASI (Infrared Atmospheric Sounding Interferometer) flown on EUMETSAT's polar orbiter METOP. We document that the IASI spectra allow for retrieving H2O profiles between the surface and the upper troposphere as well as middle tropospheric δD values. A theoretical error estimation suggests a precision for H2O of better than 35% in the lower troposphere and of better than 15% in the middle and upper troposphere, respectively, whereby surface emissivity and atmospheric temperature uncertainties are the leading error sources. For the middle tropospheric δD values we estimate a precision of 15–20&permil; with the measurement noise being the dominating error source. The accuracy of the IASI products is estimated to about 20–10% and 10&permil; for lower to upper tropospheric H2O and middle tropospheric δD, respectively. It is limited by systematic uncertainties in the applied spectroscopic parameters and the a priori atmospheric temperature profiles. We compare our IASI products to a large number of near coincident radiosonde in-situ and ground-based FTS (Fourier Transform Spectrometer) remote sensing measurements. The bias and the scatter between the different H2O and δD data sets are consistent with the combined theoretical uncertainties of the involved measurement techniques.

References 1

Clerbaux, C., Boynard, A., Clarisse, L., George, M., Hadji-Lazaro, J., Herbin, H., Hurtmans, D., Pommier, M., Razavi, A., Turquety, S., Wespes, C., and Coheur, P.-F.: Monitoring of atmospheric composition using the thermal infrared IASI/MetOp sounder, Atmos. Chem. Phys., 9, 6041–6054, http://dx.doi.org/10.5194/acp-9-6041-2009doi:10.5194/acp-9-6041-2009, 2009.

Craig, H.: Isotopic variations in meteoric waters, Science, 133, 1702–1703, 1961a.

Craig, H.: Standard for Reporting Concentrations of Deuterium and Oxygen-18 in Natural Waters, Science, 133, 1833–1834, http://dx.doi.org/10.1126/science.133.3467.1833doi:10.1126/science.133.3467.1833, 1961b.

D'Eu, J.-F.,~Lemoine. B., and~Rohart, F.: Infrared HCN Lineshapes as a Test of Galatry and Speed-dependent Voigt Profiles, J Molec Spectrosc., 212, 96–110, 2002.

Ehhalt, D H.: Vertical profiles of \chemHTO, \chemHDO, and \chemH_2O in the Troposphere, Rep. NCAR-TN/STR-100, Natl. Cent. for Atmos. Res., Boulder, Colo., 1974. % %

%Vertical Temperature and Humidity Profiles within IASI L2 PPF v5: Non-Regression Tests and Validation Results, %EUM/MET/TEN/09/0448, http:www.eumetsat.int, 2009.

EUMETSAT IASI level 2 product guide, EUM/OPS-EPS/MAN/04/0033, www.eumetsat.int, 2011.

Frankenberg, C., Yoshimura, K., Warneke, T., Aben, I., Butz, A., Deutscher, N., Griffith, D., Hase, F., Notholt, J., Schneider, M., Schrejver, H., and Röckmann, T.: Dynamic processes governing lower-tropospheric HDO/H2O ratios as observed from space and ground, Science, 325, 1374–1377, http://dx.doi.org/10.1126/science.1173791doi:10.1126/science.1173791, 2009.

Hase, F. and Höpfner, M.: Atmospheric raypath modelling for radiative transfer algorithms, Appl. Optics, 38, 3129–3133, 1999.

Hase, F., Hannigan, J W., Coffey, M T., Goldman, A., Höpfner, M., Jones, N B., Rinsland, C P., and Wood, S W.: Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements, J. Quant. Spectrosc. Ra., 87, 25–52, 2004.

Held, I M. and Soden, B J.: Water Vapour Feedback and Global Warming, Annu. Rev. Energy Environ., 25, 441–475, 2000.

%Herbin, H.,~Hurtmans, D.,~Clerbaux, C.,~Clarisse, L., and~Coheur, P.-F.: %H$_2^16$O and HDO measurements with IASI/MetOp, Atmos. Chem. Phys., 9, %9433-9447, 2009. Herbin, H., Hurtmans, D., Clerbaux, C., Clarisse, L., and Coheur, P.-F.: H$_2^16$O and HDO measurements with IASI/MetOp, Atmos. Chem. Phys., 9, 9433–9447, http://dx.doi.org/10.5194/acp-9-9433-2009doi:10.5194/acp-9-9433-2009, 2009.

Joussaume, S.,~Jouzel, J., and~Sadourny, R.: A general circulation model of water isotopes cycles in the atmosphere, Nature, 311, 24–29, 1984.

Risi, C.,~Noone, D.,~Worden, J.,~Frankenberg, C.,~Stiller, G.,~Kiefer, M., ~Funke, B Walker, K.,~Bernath, P.,~Schneider, M.,~Wunch, D.,~Sherlock, V., ~Deutscher, N.,~Griffith, D.,~Wennberg, P.,~Strong, K.,~Barthlott, S., ~Hase, F.,~Garc$\acute\rm i$a, O.,~ Smale, D.,~Mahieu, E.,~Sayres, D.,~Bony, S., ~Lee, J.,~Brown, D.,~Uemura, R., and~Sturm, C.: Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopic observations. Part 1: comparison between models and datasets, J Geophys Res., submitted, 2011a.

Risi, C.,~Noone, D.,~Worden, J.,~Frankenberg, C.,~Stiller, G.,~Kiefer, M., ~Funke, B.,~Walker, K.,~Bernath, P.,~Schneider, M.,~Bony, S.,~Lee, J., ~Brown, D., and~Sturm, C.: Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopic observations. Part 2: an isotopic diagnostic to understand the mid and upper tropospheric moist bias in the tropics and subtropics, J Geophys Res., submitted, 2011b.

Rodgers, C D.: Inverse Methods for Atmospheric Sounding: Theory and Praxis, World Scientific Publishing Co., Singapore, ISBN 981-02-2740-X, 2000.

Rodgers, C D. and~Connor, B J.: Intercomparison of remote sounding instruments, J Geophys Res., 108, 4116–4129, http://dx.doi.org/10.1029/2002JD002299doi:10.1029/2002JD002299, 2003.

Rothman, L S.,~Gordon, I E.,~Barbe, A.,~Chris Benner, D.,~Bernath, P F., ~Birk, M.,~Boudon, V.,~Brown, L R.,~Campargue, A.,~Champion, J.-P., ~Chance, K.,~Coudert, L H.,~Dana, V.,~Devi, V M.,~Fally, S.,~Flaud, J.-M., ~Gamache, R R.,~Goldman, A.,~Jacquemart, D.,~Kleiner, I.,~Lacome, N.,~Lafferty, W J., ~Mandin, J.-Y.,~Massie, S T.,~Mikhailenko, S N.,~Miller, C E., ~Moazzen-Ahmadi, N.,~Naumenko, O V.,~Nikitin, A V.,~Orphal, J., ~Perevalov, V I., A Perrin,~Predoi-Cross, A.,~Rinsland, C P.,~Rotger, M., ~Simecková, M.,~Smith, M A H.,~Sung, K.,~Tashkun, S A.,~Tennyson, J., ~Toth, R A.,~Vandaele, A C., and~Vander-Auwera, J.: The HITRAN 2008 molecular spectroscopic database, J Quant Spectrosc Radiat Transfer, 110, 533–572, http://dx.doi.org/10.1016/j.jqsrt.2009.02.013doi:10.1016/j.jqsrt.2009.02.013, 2009.

Schneider, M., Hase, F., and Blumenstock, T.: Water vapour profiles by ground-based FTIR spectroscopy: study for an optimised retrieval and its validation, Atmos. Chem. Phys., 6, 811–830, http://dx.doi.org/10.5194/acp-6-811-2006doi:10.5194/acp-6-811-2006, 2006a.

%Schneider, M., Hase, F., and Blumenstock, T.: Ground-based remote sensing of %HDO/H2O ratio profiles: introduction and validation of an innovative %retrieval approach, Atmos. Chem. Phys., 6, 4705–4722, 2006b. Schneider, M., Hase, F., and Blumenstock, T.: Ground-based remote sensing of HDO/H2O ratio profiles: introduction and validation of an innovative retrieval approach, Atmos. Chem. Phys., 6, 4705–4722, http://dx.doi.org/10.5194/acp-6-4705-2006doi:10.5194/acp-6-4705-2006, 2006.

Schneider, M. and~Hase, F.: Improving spectroscopic line parameters by means of atmospheric spectra: Theory and example for water vapour and solar absorption spectra, J Quant Spectrosc Radiat Transfer, 110, 1825–1839, http://dx.doi.org/10.1016/j.jqsrt.2009.04.011doi:10.1016/j.jqsrt.2009.04.011, 2009a.

Schneider, M. and Hase, F.: Ground-based FTIR water vapour profile analyses, Atmos. Meas. Tech., 2, 609–619, http://dx.doi.org/10.5194/amt-2-609-2009doi:10.5194/amt-2-609-2009, 2009.

Schneider, M., Romero, P. M., Hase, F., Blumenstock, T., Cuevas, E., and Ramos, R.: Continuous quality assessment of atmospheric water vapour measurement techniques: FTIR, Cimel, MFRSR, GPS, and Vaisala RS92, Atmos. Meas. Tech., 3, 323-338, http://dx.doi.org/10.5194/amt-3-323-2010doi:10.5194/amt-3-323-2010, 2010a.

Schneider, M., Yoshimura, K., Hase, F., and Blumenstock, T.: The ground-based FTIR network's potential for investigating the atmospheric water cycle, Atmos. Chem. Phys., 10, 3427–3442, http://dx.doi.org/10.5194/acp-10-3427-2010doi:10.5194/acp-10-3427-2010, 2010b.

%Schneider, M., G C Toon, J.-F Blavier, F Hase, and T Leblanc: H2O and %δD profiles remotely-sensed from ground in different spectral infrared %regions, Atmos Meas Tech., 3, 1599–1613, 2010c. Schneider, M., Toon, G. C., Blavier, J.-F., Hase, F., and Leblanc, T.: H2O and δD profiles remotely-sensed from ground in different spectral infrared regions, Atmos. Meas. Tech., 3, 1599–1613, http://dx.doi.org/10.5194/amt-3-1599-2010doi:10.5194/amt-3-1599-2010, 2010c.

Schneider, M.,~Hase, F.,~Blavier, J.-F.,~Toon, G. C., and~Leblanc, T.: An empirical study on the importance of a speed-dependent Voigt line shape model for tropospheric water vapor profile remote sensing, J Quant Spectrosc Radiat Transfer, 112, 465–474, http://dx.doi.org/10.1016/j.jqsrt.2010.09.008doi:10.1016/j.jqsrt.2010.09.008, 2011.

Vömel, H., Selkirk, H., Miloshevich, L., Valverde, J., Valdés, J., Kyrö, E., Kivi, R., Stolz, W., Peng, G., and Diaz, J A.: Radiation dry bias of the Vaisala RS92 humidity sensor, J. Atmos. Oceanic Technol., 24, 953–963, 2007.

Webster, C R. and Heymsfield, A J.: Water isotope ratios D/H, $^18$O/$^16$O, $^17$O/$^16$O in and out of clouds map dehydration pathways, Science, 302, 1742–1745, 2003.

Worden, J R., Bowman, K., Noone, D., Beer, R., Clough, S., Eldering, A., Fisher, B., Goldman, A., Gunson, M., Herman, R., Kulawik, S S., Lampel, M., Luo, M., Osterman, G., Rinsland, C., Rodgers, C., Sander, S., Shephard, M., and Worden, H.: TES observations of the tropospheric HDO/H2O ratio: retrieval approach and characterization, J Geophys Res., 111, D16309, http://dx.doi.org/10.1029/2005JD006606doi:10.1029/2005JD006606, 2006.

Worden, J R., D Noone, K Bowman, R Beer, A Eldering, B Fisher, M Gunson, A Goldman, R Herman, S S Kulawik, M Lampel, G Osterman, C Rinsland, C Rodgers, S Sander, M Shephard, C R Webster, and H Worden: Importance of rain evaporation and continental convection in the tropical water cycle, Nature, 445, 528–532, http://dx.doi.org/10.1038/nature05508doi:10.1038/nature05508, 2007.

Yoshimura, K., Kanamitsu, M., Noone, D., and Oki, T.: Historical isotope simulation using Reanalysis atmospheric data, J Geophys Res., 113, D19108, http://dx.doi.org/10.1029/2008JD010074doi:10.1029/2008JD010074, 2008.

Yoshimura, K., C Frankenberg, J Lee, M Kanamitsu, J Worden, and T Röckmann: Comparison of an isotopic atmospheric general circulation model with new quasi-global satellite measurements of water vapor isotopologues, J Geophys Res., 116, D19118, http://dx.doi.org/10.1029/2011JD016035doi:10.1029/2011JD016035, 2011.

Zahn, A.: Constraints on 2-Way Transport across the Arctic Tropopause Based on O3, Stratospheric Tracer (SF$_6$) Ages, and Water Vapor Isotope (D, T) Tracers, J. Atmos. Chem. 39, 303–325, 2001.