Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-215-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-215-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jan 2018
Research article |
| 12 Jan 2018
| 12 Jan 2018
Intercomparison of AIRS and HIRDLS stratospheric gravity wave observations
Jülich Supercomputing Centre (JSC), Forschungszentrum
Jülich, Jülich, Germany
Manfred Ern
Institut für Energie- und
Klimaforschung (IEK-7), Forschungszentrum Jülich, Jülich,
Germany
Lars Hoffmann
Jülich Supercomputing Centre (JSC), Forschungszentrum
Jülich, Jülich, Germany
Quang Thai Trinh
Institut für Energie- und
Klimaforschung (IEK-7), Forschungszentrum Jülich, Jülich,
Germany
M. Joan Alexander
NorthWest Research Associates, Inc., CoRA Office,
Boulder, CO, USA
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Mohamadou A. Diallo, Felix Ploeger, Michaela I. Hegglin, Manfred Ern, Jens-Uwe Grooß, Sergey Khaykin, and Martin Riese
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Paul Konopka, Mengchu Tao, Marc von Hobe, Lars Hoffmann, Corinna Kloss, Fabrizio Ravegnani, C. Michael Volk, Valentin Lauther, Andreas Zahn, Peter Hoor, and Felix Ploeger
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Ice clouds in the stratosphere (SICs) greatly affect the water vapor balance and radiation budget in the upper troposphere and lower stratosphere (UTLS). We quantified the global SICs and analyzed their relationships with tropopause temperature, double tropopauses, UTLS clouds, gravity waves, and stratospheric aerosols. The correlations between SICs and all abovementioned processes indicate that the occurrence of and variability in SICs are spatiotemporally dependent on different processes.
Lars Hoffmann, Paul F. Baumeister, Zhongyin Cai, Jan Clemens, Sabine Griessbach, Gebhard Günther, Yi Heng, Mingzhao Liu, Kaveh Haghighi Mood, Olaf Stein, Nicole Thomas, Bärbel Vogel, Xue Wu, and Ling Zou
Geosci. Model Dev., 15, 2731–2762, https://doi.org/10.5194/gmd-15-2731-2022, https://doi.org/10.5194/gmd-15-2731-2022, 2022
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We describe the new version (2.2) of the Lagrangian transport model MPTRAC, which has been ported for application on GPUs. The model was verified by comparing kinematic trajectories and synthetic tracer simulations for the free troposphere and stratosphere from GPUs and CPUs. Benchmarking showed a speed-up of a factor of 16 of GPU-enabled simulations compared to CPU-only runs, indicating the great potential of applying GPUs for Lagrangian transport simulations on upcoming HPC systems.
Lars Hoffmann and Reinhold Spang
Atmos. Chem. Phys., 22, 4019–4046, https://doi.org/10.5194/acp-22-4019-2022, https://doi.org/10.5194/acp-22-4019-2022, 2022
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We present an intercomparison of 2009–2018 lapse rate tropopause characteristics as derived from ECMWF's ERA5 and ERA-Interim reanalyses. Large-scale features are similar, but ERA5 shows notably larger variability, which we mainly attribute to UTLS temperature fluctuations due to gravity waves being better resolved by ECMWF's IFS forecast model. Following evaluation with radiosondes and GPS data, we conclude ERA5 will be a more suitable asset for tropopause-related studies in future work.
Paul F. Baumeister and Lars Hoffmann
Geosci. Model Dev., 15, 1855–1874, https://doi.org/10.5194/gmd-15-1855-2022, https://doi.org/10.5194/gmd-15-1855-2022, 2022
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The efficiency of the numerical simulation of radiative transport is shown on modern server-class graphics cards (GPUs). The low-cost prefactor on GPUs compared to general-purpose processors (CPUs) enables future large retrieval campaigns for multi-channel data from infrared sounders aboard low-orbit satellites. The validated research software JURASSIC is available in the public domain.
Cornelia Strube, Peter Preusse, Manfred Ern, and Martin Riese
Atmos. Chem. Phys., 21, 18641–18668, https://doi.org/10.5194/acp-21-18641-2021, https://doi.org/10.5194/acp-21-18641-2021, 2021
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High gravity wave (GW) momentum fluxes in the lower stratospheric southern polar vortex around 60° S are still poorly understood. Few GW sources are found at these latitudes. We present a ray tracing case study on waves resolved in high-resolution global model temperatures southeast of New Zealand. We show that lateral propagation of more than 1000 km takes place below 20 km altitude, and a variety of orographic and non-orographic sources located north of 50° S generate the wave field.
Manfred Ern, Mohamadou Diallo, Peter Preusse, Martin G. Mlynczak, Michael J. Schwartz, Qian Wu, and Martin Riese
Atmos. Chem. Phys., 21, 13763–13795, https://doi.org/10.5194/acp-21-13763-2021, https://doi.org/10.5194/acp-21-13763-2021, 2021
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Details of the driving of the semiannual oscillation (SAO) of the tropical winds in the middle atmosphere are still not known. We investigate the SAO and its driving by small-scale gravity waves (GWs) using satellite data and different reanalyses. In a large altitude range, GWs mainly drive the SAO westerlies, but in the upper mesosphere GWs seem to drive both SAO easterlies and westerlies. Reanalyses reproduce some features of the SAO but are limited by model-inherent damping at upper levels.
Cited articles
Alexander, M. J.: Interpretations of observed climatological patterns in
stratospheric gravity wave variance, J. Geophys. Res.-Atmos., 103,
8627–8640, https://doi.org/10.1029/97JD03325, 1998. a
Alexander, M. J. and Pfister, L.: Gravity wave momentum flux in the lower
stratosphere over convection, Geophys. Res. Lett., 22, 2029–2032,
https://doi.org/10.1029/95GL01984, 1995. a
Alexander, M. J. and Teitelbaum, H.: Observation and analysis of a large
amplitude mountain wave event over the Antarctic peninsula, J. Geophys.
Res.-Atmos., 112, D21103, https://doi.org/10.1029/2006JD008368, 2007. a
Alexander, M. J., Gille, J., Cavanaugh, C., Coffey, M., Craig, C., Eden, T.,
Francis, G., Halvorson, C., Hannigan, J., Khosravi, R., Kinnison, D., Lee,
H., Massie, S., Nardi, B., Barnett, J., Hepplewhite, C., Lambert, A., and
Dean, V.: Global estimates of gravity wave momentum flux from High
Resolution Dynamics Limb Sounder observations, J. Geophys. Res.-Atmos., 113,
D15S18, https://doi.org/10.1029/2007JD008807, 2008. a
Alexander, M. J., Geller, M., McLandress, C., Polavarapu, S., Preusse, P.,
Sassi, F., Sato, K., Eckermann, S., Ern, M., Hertzog, A., Kawatani, Y.,
Pulido, M., Shaw, T. A., Sigmond, M., Vincent, R., and Watanabe, S.: Recent
developments in gravity-wave effects in climate models and the global
distribution of gravity-wave momentum flux from observations and models, Q.
J. Roy. Meteor. Soc., 136, 1103–1124, https://doi.org/10.1002/qj.637, 2010. a, b, c
Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E.,
McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin,
D. H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the Aqua
Mission: Design, Science Objective, Data Products, and Processing Systems,
IEEE T. Geosci. Remote, 41, D21103, https://doi.org/10.1109/TGRS.2002.808356, 2003. a, b
Barnet, C., Datta, S., and Strow, L.: Trace gas measurements from the
Atmospheric Infrared Sounder (AIRS), Optical Remote Sensing, OSA
Tech. Digest, 89–92, https://doi.org/10.1364/ORS.2003.OWB2, 2003. a
Beres, J. H., Alexander, M. J., and Holton, J. R.: A Method of Specifying the
Gravity Wave Spectrum above Convection Based on Latent Heating Properties and
Background Wind, J. Atmos. Sci., 61, 324–337,
https://doi.org/10.1175/1520-0469(2004)061<0324:AMOSTG>2.0.CO;2, 2004. a
Chahine, M. T., Pagano, T. S., Aumann, H. H., Atlas, R., Barnet, C., Blaisdell,
J., Chen, L., Divakarla, M., Fetzer, E. J., Goldberg, M., Gautier, C.,
Granger, S., Hannon, S., Irion, F. W., Kakar, R., Kalnay, E., Lambrigtsen,
B. H., Lee, S.-Y., Le Marshall, J., McMillan, W. W., McMillin, L., Olsen,
E. T., Revercomb, H., Rosenkranz, P., Smith, W. L., Staelin, D., Strow,
L. L., Susskind, J., Tobin, D., Wolf, W., and Zhou, L.: AIRS: Improving
Weather Forecasting and Providing New Data on Greenhouse Gases, J. Atmos.
Sci., 87, 911–926, https://doi.org/10.1175/BAMS-87-7-911, 2006. a
Cho, C. and Staelin, D. H.: Cloud clearing of Atmospheric Infrared
Sounder hyperspectral infrared radiances using stochastic methods, J.
Geophys. Res., 111, D09S18, https://doi.org/10.1029/2005JD006013, 2006. a, b
Choi, H.-J., Chun, H.-Y., Gong, J., and Wu, D. L.: Comparison of gravity wave
temperature variances from ray-based spectral parameterization of convective
gravity wave drag with AIRS observations, J. Geophys. Res.-Atmos., 117,
D05115, https://doi.org/10.1029/2011JD016900, 2012. a, b
Day, K. A., Hibbins, R. E., and Mitchell, N. J.: Aura MLS observations of the westward-propagating s=1, 16-day planetary
wave in the stratosphere, mesosphere and lower thermosphere, Atmos. Chem. Phys., 11, 4149–4161, https://doi.org/10.5194/acp-11-4149-2011, 2011. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi,
S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P.,
Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C.,
Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B.,
Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Köhler, M.,
Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park,
B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J.-N., and Vitart,
F.: The ERA-Interim reanalysis: configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011. a
de Souza-Machado, S., Strow, L. L., Hannon, S. E., Motteler, H.,
López-Puertas, M., Funke, B., and Edwards, D. P.: Fast Forward Radiative
Transfer Modeling of 4.3 μm Non-Local Thermodynamic Equilibrium effects
for the Aqua/AIRS Infrared Temperature Sounder, Geophys. Res. Lett., 34,
L01802, https://doi.org/10.1029/2006GL026684, 2007. a
Divakarla, M. G., Barnet, C. D., Goldberg, M. D., McMillin, L. M., Maddy, E.,
Wolf, W., Zhou, L., and Liu, X.: Validation of Atmospheric Infrared Sounder
temperature and water vapor retrievals with matched radiosonde measurements
and forecasts, J. Geophys. Res.-Atmos., 111, D09S15,
https://doi.org/10.1029/2005JD006116, 2006. a, b
Dörnbrack, A., Leutbecher, M., Kivi, R., and Kyrö, E.:
Mountain-wave-induced record low stratospheric temperatures above northern
Scandinavia, Tellus A, 51, 951–963, https://doi.org/10.1034/j.1600-0870.1999.00028.x,
1999. a
Durran, D. R. and Klemp, J. B.: Another Look at Downslope Winds. Part II:
Nonlinear Amplification Beneath Wave Overturning Layers, J. Atmos. Sci., 44,
3402–3412, https://doi.org/10.1175/1520-0469(1987)044<3402:ALADWP>2.0.CO;2, 1987. a
Eckermann, S. D., Wu, D. L., Doyle, J. D., Burris, J. F., McGee, T. J.,
Hostetler, C. A., Coy, L., Lawrence, B. N., Stephens, A., McCormack, J. P.,
and Hogan, T. F.: Imaging gravity waves in lower stratospheric AMSU-A
radiances, Part 2: Validation case study, Atmos. Chem. Phys., 6, 3343–3362,
https://doi.org/10.5194/acp-6-3343-2006, 2006. a
Ehard, B., Kaifler, B., Dörnbrack, A., Preusse, P., Eckermann, S. D.,
Bramberger, M., Gisinger, S., Kaifler, N., Liley, B., Wagner, J., and Rapp,
M.: Horizontal propagation of large-amplitude mountain waves into the polar
night jet, J. Geophys. Res., 122, 1423–1436, https://doi.org/10.1002/2016JD025621,
2016JD025621, 2017. a
Ern, M. and Preusse, P.: Gravity wave momentum flux spectra observed from
satellite in the summertime subtropics: Implications for global modeling,
Geophys. Res. Lett., 39, L15810, https://doi.org/10.1029/2012GL052659, 2012. a, b
Ern, M., Preusse, P., Alexander, M. J., and Warner, C. D.: Absolute values of
gravity wave momentum flux derived from satellite data, J. Geophys.
Res.-Atmos., 109, D20103, https://doi.org/10.1029/2004JD004752, 2004. a, b
Ern, M., Preusse, P., Gille, J. C., Hepplewhite, C. L., Mlynczak, M. G.,
Russell, J. M., and Riese, M.: Implications for atmospheric dynamics derived
from global observations of gravity wave momentum flux in stratosphere and
mesosphere, J. Geophys. Res.-Atmos., 116, D19107, https://doi.org/10.1029/2011JD015821,
2011. a, b, c, d
Ern, M., Preusse, P., Kalisch, S., Kaufmann, M., and Riese, M.: Role of
gravity waves in the forcing of quasi two-day waves in the mesosphere: An
observational study, J. Geophys. Res.-Atmos., 118, 3467–3485,
https://doi.org/10.1029/2012JD018208, 2013. a, b
Ern, M., Ploeger, F., Preusse, P., Gille, J. C., Gray, L. J., Kalisch, S.,
Mlynczak, M. G., Russell, J. M., and Riese, M.: Interaction of gravity waves
with the QBO: A satellite perspective, J. Geophys. Res.-Atmos., 119,
2329–2355, https://doi.org/10.1002/2013JD020731, 2014. a
Ern, M., Preusse, P., and Riese, M.: Driving of the SAO by gravity waves as
observed from satellite, Ann. Geophys., 33, 483–504,
https://doi.org/10.5194/angeo-33-483-2015, 2015. a, b
Ern, M., Trinh, Q. T., Kaufmann, M., Krisch, I., Preusse, P., Ungermann, J.,
Zhu, Y., Gille, J. C., Mlynczak, M. G., Russell III, J. M., Schwartz, M. J.,
and Riese, M.: Satellite observations of middle atmosphere gravity wave
absolute momentum flux and of its vertical gradient during recent
stratospheric warmings, Atmos. Chem. Phys., 16, 9983–10019,
https://doi.org/10.5194/acp-16-9983-2016, 2016. a
Ern, M., Hoffmann, L., and Preusse, P.: Directional gravity wave momentum
fluxes in the stratosphere derived from high-resolution AIRS temperature
data, Geophys. Res. Lett., 44, 475–485, https://doi.org/10.1002/2016GL072007, 2017. a, b
Eyring, V., Waugh, D. W., Bodecker, G. E., Cordero, E., Akiyoshi, H., Austin,
J., Beagley, S. R., Boville, B. A., Braesicke, P., Bruhl, C., Butchart, N.,
Chipperfield, M. P., Dameris, M., Deckert, R., Deushi, M., Frith, S. M.,
Garcia, R. R., Gettelman, A., Giorgetta, M. A., Kinneson, D. E., Mancini, E.,
Manzini, E., Marsh, D. R., Matthes, S., Nagashima, T., Newman, P. A., Pawson,
S., Pitari, G., Plumber, D. A., Rozenov, E., Schraner, M., Scinocca, J. F.,
Seminiuk, K., Shepherd, T. G., Shibata, K., Steil, B., Stolarski, R. S.,
Tian, W., and Yoshiki, M.: Multimodel projections of stratospheric ozone in
the 21st century, J. Geophys. Res., 112, D16303, https://doi.org/10.1029/2006JD008332,
2007. a
Fetzer, E. J. and Gille, J. C.: Gravity Wave Variance in LIMS
Temperatures. Part I: Variability and Comparison with Background Winds., J.
Atmos. Sci., 51, 2461–2483,
https://doi.org/10.1175/1520-0469(1994)051<2461:GWVILT>2.0.CO;2, 1994. a
Fetzer, E. J., McMillin, L. M., Tobin, D. C., Aumann, H., Gunson, M. R.,
McMillan, W. W., Hagan, D., Hofstadter, M. D., Yoe, J., Whiteman, D. N.,
Barnes, J. E., Bennartz, R., Vömel, H., Walden, V., Newchurch, M.,
Minnett, P. J., Atlas, R., Schmidlin, F., Olsen, E. T., Goldberg, M. D.,
Zhou, S., Ding, H., Smith, W. L., and Revercomb, H.: AIRS/AMSU/HSB
validation, IEEE T. Geosci. Remote, 41, 418–431,
https://doi.org/10.1109/TGRS.2002.808293, 2003. a
Fritts, D. C. and Alexander, M. J.: Gravity wave dynamics and effects in the
middle atmosphere, Rev. Geophys., 41, 1003, https://doi.org/10.1029/2001RG000106,
2003. a, b
Fritts, D. C. and Nastrom, G. D.: Sources of mesoscale variability of gravity
waves. part II: frontal,convective, and jet stream excitation, J. Atmos.
Sci., 49, 111–127, https://doi.org/10.1175/1520-0469(1992)049<0111:SOMVOG>2.0.CO;2,
1992. a
Fritts, D. C., Smith, R. B., Taylor, M. J., Doyle, J. D., Eckermann, S. D.,
Dörnbrack, A., Rapp, M., Williams, B. P., Pautet, P.-D., Bossert, K.,
Criddle, N. R., Reynolds, C. A., Reinecke, P. A., Uddstrom, M., Revell,
M. J., Turner, R., Kaifler, B., Wagner, J. S., Mixa, T., Kruse, C. G.,
Nugent, A. D., Watson, C. D., Gisinger, S., Smith, S. M., Lieberman, R. S.,
Laughman, B., Moore, J. J., Brown, W. O., Haggerty, J. A., Rockwell, A.,
Stossmeister, G. J., Williams, S. F., Hernandez, G., Murphy, D. J.,
Klekociuk, A. R., Reid, I. M., and Ma, J.: The Deep Propagating Gravity Wave
Experiment (DEEPWAVE): An Airborne and Ground-Based Exploration of Gravity
Wave Propagation and Effects from Their Sources throughout the Lower and
Middle Atmosphere, B. Am. Meteorol. Soc., 97, 425–453,
https://doi.org/10.1175/BAMS-D-14-00269.1, 2016. a, b
Gautier, C., Shiren, Y., and Hofstadter, M.: AIRS/Vis near IR instrument,
IEEE T. Geosci. Remote, 41, 330–342, https://doi.org/10.1109/TGRS.2002.808242, 2003. a
Geller, M. A., Alexander, M. J., Love, P. T., Bacmeister, J., Ern, M., Hertzog,
A., Manzini, E., Preusse, P., Sato, K., Scaife, A. A., and Zhou, T.: A
Comparison between Gravity Wave Momentum Fluxes in Observations and Climate
Models, J. Climate, 26, 6383–6405, https://doi.org/10.1175/JCLI-D-12-00545.1, 2013. a, b
Gille, J. C., Barnett, J. J., Whitney, J. G., Dials, M. A., Woodard, D.,
Rudolf, W. P., Lambert, A., and Mankin, W.: The High-Resolution Dynamics
Limb Sounder (HIRDLS) experiment on AURA, in: Infrared Spaceborne Remote
Sensing XI, Vol. 162, Proc. SPIE 5152, https://doi.org/10.1117/12.2066967, 2003. a, b
Gille, J. C., Barnett, J., Arter, P., Barker, M., Bernath, P., Boone, C.,
Cavanaugh, C., Chow, J., Coffey, M., Craft, J., Craig, C., Dials, M., Dean,
V., Eden, T., Edwards, D. P., Francis, G., Halvorson, C., Harvey, L.,
Hepplewhite, C., Khosravi, R., Kinnison, D., Krinsky, C., Lambert, A., Lee,
H., Lyjak, L., Loh, J., Mankin, W., Massie, S., McInerney, J., Moorhouse, J.,
Nardi, B., Packman, D., Randall, C., Reburn, J., Rudolf, W., Schwartz, M.,
Serafin, J., Stone, K., Torpy, B., Walker, K., Waterfall, A., Watkins, R.,
Whitney, J., Woodard, D., and Young, G.: High Resolution Dynamics Limb
Sounder: Experiment overview, recovery, and validation of initial temperature
data, J. Geophys. Res., 113, D16S43, https://doi.org/10.1029/2007JD008824, 2008. a, b, c, d
Gille, J. C., Cavanaugh, C., Coffey, M., Karol, S., Khosravi, R., Massie, S.,
Rivas, M. B., Waterfall, A., Gray, L., Choi, K. Y., Craig, C., Hepplewhite,
C., Nardi, D. K. B., Smith, L., and Wright, C.: High Resolution Dynamics
Limb Sounder Earth Observing System (EOS): Data description and quality,
Version 6 (V6), available at:
http://archive-eos.acom.ucar.edu/hirdls/data/products/HIRDLS-DQD_V6-1.pdf (last access date: 10 January 2018), 2011. a, b, c
Goldberg, M., Qu, Y., McMillin, L., Wolf, W., Zhou, L., and Divakarla, M.:
AIRS near-real-time products and algorithms in support of operational
numerical weather prediction, IEEE T. Geosci. Remote, 41, 379–389,
https://doi.org/10.1109/TGRS.2002.808307, 2003. a
Gong, J., Wu, D. L., and Eckermann, S. D.: Gravity wave variances and
propagation derived from AIRS radiances, Atmos. Chem. Phys., 12, 1701–1720,
https://doi.org/10.5194/acp-12-1701-2012, 2012. a, b
Hertzog, A., Alexander, M. J., and Plougonven, R.: On the Intermittency
of Gravity Wave Momentum Flux in the Stratosphere, J. Atmos. Sci., 69,
3433–3448, https://doi.org/10.1175/JAS-D-12-09.1, 2012. a
Hoffmann, L., Xue, X., and Alexander, M. J.: A Global View of
Stratospheric Gravity Wave Hotspots Located with Atmospheric
Infrared Sounder Observations, J. Geophys. Res.-Atmos., 118, 416–434,
https://doi.org/10.1029/2012JD018658, 2013. a, b, c
Hoffmann, L., Grimsdell, A. W., and Alexander, M. J.: Stratospheric gravity
waves at Southern Hemisphere orographic hotspots: 2003–2014 AIRS/Aqua
observations, Atmos. Chem. Phys., 16, 9381–9397,
https://doi.org/10.5194/acp-16-9381-2016, 2016. a, b
Holton, J. R.: The Role of Gravity Wave Induced Drag and Diffusion in the
Momentum Budget of the Mesosphere, J. Atmos. Sci., 39, 791–799,
https://doi.org/10.1175/1520-0469(1982)039<0791:TROGWI>2.0.CO;2, 1982. a
Holton, J. R.: The Influence of Gravity Wave Breaking on the General
Circulation of the Middle Atmosphere, J. Atmos. Sci., 40, 2597–2507,
https://doi.org/10.1175/1520-0469(1983)040<2497:TIOGWB>2.0.CO;2, 1983. a
Immerkær, J.: Fast Noise Variance Estimation, Comput. Vis. Image Und., 64,
300–302, https://doi.org/10.1006/cviu.1996.0060, 1996. a, b, c
Jiang, J. H. and Wu, D. L.: UARS MLS observations of gravity waves associated
with the Arctic Winter Stratospheric Vortex, Geophys. Res. Lett., 28,
527–530, https://doi.org/10.1029/2000GL011800, 2001. a
Jiang, J. H., Eckermann, S. D., Wu, D. L., and Ma, J.: A search for mountain
waves in MLS stratospheric limb radiances from the winter Northern
Hemisphere: Data analysis and global mountain wave modeling, J. Geophys.
Res.-Atmos., 109, D03107, https://doi.org/10.1029/2003JD003974, 2004a. a
Jiang, J. H., Wang, B., Goya, K., Hocke, K., Eckermann, S. D., Ma, J., Wu,
D. L., and Read, W. G.: Geographical distribution and interseasonal
variability of tropical deep convection: UARS MLS observations and analyses,
J. Geophys. Res.-Atmos., 109, D03111, https://doi.org/10.1029/2003JD003756,
2004b. a
Kalisch, S., Chun, H.-Y., Ern, M., Preusse, P., Trinh, Q. T., Eckermann, S. D.,
and Riese, M.: Comparison of simulated and observed convective gravity waves,
J. Geophys. Res., 121, 13474–13492, https://doi.org/10.1002/2016JD025235,
2016JD025235, 2016. a
Khosravi, R., Lambert, A., Lee, H., Gille, J., Barnett, J., Francis, G.,
Edwards, D., Halvorson, C., Massie, S., Craig, C., Krinsky, C., McInerney,
J., Stone, K., Eden, T., Nardi, B., Hepplewhite, C., Mankin, W., and Coffey,
M.: Overview and characterization of retrievals of temperature, pressure,
and atmospheric constituents from the High Resolution Dynamics Limb Sounder
(HIRDLS) measurements, J. Geophys. Res.-Atmos., 114, D20304,
https://doi.org/10.1029/2009JD011937, 2009a. a, b
Khosravi, R., Lambert, A., Lee, H., Gille, J., Barnett, J., Francis, G.,
Edwards, D., Halvorson, C., Massie, S., Craig, C., Krinsky, C., McInerney,
J., Stone, K., Eden, T., Nardi, B., Hepplewhite, C., Mankin, W., and Coffey,
M.: Correction to “Overview and characterization of retrievals of
temperature, pressure, and atmospheric constituents from High Resolution
Dynamics Limb Sounder (HIRDLS) measurements”, J. Geophys. Res.-Atmos., 114,
D23399, https://doi.org/10.1029/2009JD013507, 2009b. a, b
Lambrigtsen, B.: Calibration of the AIRS microwave instruments, IEEE T.
Geosci. Remote, 41, 369–378, https://doi.org/10.1109/TGRS.2002.808247, 2003. a
Lehmann, C. I., Kim, Y.-H., Preusse, P., Chun, H.-Y., Ern, M., and Kim, S.-Y.:
Consistency between Fourier transform and small-volume few-wave
decomposition for spectral and spatial variability of gravity waves above a
typhoon, Atmos. Meas. Tech., 5, 1637–1651, https://doi.org/10.5194/amt-5-1637-2012,
2012. a
Lindzen, R. S.: Wave-mean flow interactions in the upper atmosphere,
Bound.-Lay. Meteorol., 4, 327–343, https://doi.org/10.1007/BF02265242, 1973. a
McLandress, C.: On the importance of gravity waves in the middle atmosphere
and their parameterization in general circulation models, J. Atmos.
Sol.-Terr. Phy., 60, 1357–1383, https://doi.org/10.1016/S1364-6826(98)00061-3, 1998. a
Meyer, C. I. and Hoffmann, L.: Validation of AIRS high-resolution
stratospheric temperature retrievals, in: Remote Sensing of Clouds and the
Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems
XVII, Vol. 92420L, Proc. SPIE 9242, https://doi.org/10.1117/12.2066967, 2014. a
Nastrom, G. D. and Fritts, D. C.: Sources of Mesoscale Variability of Gravity
Waves. Part I: Topographic Excitation, J. Atmos. Sci., 49, 101–110,
https://doi.org/10.1175/1520-0469(1992)049<0101:SOMVOG>2.0.CO;2, 1992. a
Pfister, L., Starr, W., Craig, R., Loewenstein, M., and Legg, M.:
Small-Scale Motions Observed by Aircraft in the Tropical Lower Stratosphere:
Evidence for Mixing and its Relationship to Large-Scale Flows, J. Atmos.
Sci., 43, 3210–3225, https://doi.org/10.1175/1520-0469(1986)043<3210:SSMOBA>2.0.CO;2,
1986. a
Plougonven, R. and Zhang, F.: Internal gravity waves from atmospheric jets and
fronts, Rev. Geophys., 52, 33–76, https://doi.org/10.1002/2012RG000419, 2014. a, b
Plougonven, R., Teitelbaum, H., and Zeitlin, V.: Inertia gravity wave
generation by the tropospheric midlatitude jet as given by the Fronts and
Atlantic Storm-Track Experiment radio sounding, J. Geophys. Res.-Atmos.,
108, 4686, https://doi.org/10.1029/2003JD003535, 2003. a
Preusse, P., Dörnbrack, A., Eckermann, S. D., Riese, M., Schaeler, B.,
Bacmeister, J. T., Broutman, D., and Grossmann, K. U.: Space-based
measurements of stratospheric mountain waves by CRISTA 1. Sensitivity,
analysis method, and a case study, J. Geophys. Res.-Atmos., 107,
8178, https://doi.org/10.1029/2001JD000699, 2002. a, b
Preusse, P., Eckermann, S. D., and Ern, M.: Transparency of the atmosphere to
short horizontal wavelength gravity waves, J. Geophys. Res.-Atmos., 113,
D24104, https://doi.org/10.1029/2007JD009682, 2008. a, b, c, d
Preusse, P., Eckermann, S. D., Ern, M., Oberheide, J., Picard, R. H., Roble,
R. G., Riese, M., Russell, J. M., and Mlynczak, M. G.: Global ray tracing
simulations of the SABER gravity wave climatology, J. Geophys. Res.-Atmos.,
114, D08126, https://doi.org/10.1029/2008JD011214, 2009a. a
Preusse, P., Schroeder, S., Hoffmann, L., Ern, M., Friedl-Vallon, F.,
Ungermann, J., Oelhaf, H., Fischer, H., and Riese, M.: New perspectives on
gravity wave remote sensing by spaceborne infrared limb imaging, Atmos. Meas.
Tech., 2, 299–311, https://doi.org/10.5194/amt-2-299-2009, 2009b. a
Rösevall, J. D., Murtagh, D. P., and Urban, J.: Ozone depletion in the
2006/2007 Arctic winter, Geophys. Res. Lett., 34,
L21809, https://doi.org/10.1029/2007GL030620, 2007. a
Sato, K., Tsuchiya, C., Alexander, M. J., and Hoffmann, L.: Climatology and
ENSO-related interannual variability of gravity waves in the southern
hemisphere subtropical stratosphere revealed by high-resolution AIRS
observations, J. Geophys. Res.-Atmos., 121, 7622–7640,
https://doi.org/10.1002/2015JD024462, 2016. a
Smith, R. B.: On Severe Downslope Winds, J. Atmos. Sci., 42, 2597–2603,
https://doi.org/10.1175/1520-0469(1985)042<2597:OSDW>2.0.CO;2, 1985. a
Smith, R. B., Nugent, A. D., Kruse, C. G., Fritts, D. C., Doyle, J. D.,
Eckermann, S. D., Taylor, M. J., Dörnbrack, A., Uddstrom, M., Cooper, W.,
Romashkin, P., Jensen, J., and Beaton, S.: Stratospheric Gravity Wave Fluxes
and Scales during DEEPWAVE, J. Atmos. Sci., 73, 2851–2869,
https://doi.org/10.1175/JAS-D-15-0324.1, 2016. a
Strow, L. L., Hannon, S. E., Machado, S. D.-S., Motteler, H. E., and Tobin,
D. C.: Validation of the Atmospheric Infrared Sounder radiative
transfer algorithm, J. Geophys. Res., 111, D09S06,
https://doi.org/10.1029/2005JD006146, 2006. a
Susskind, J., Barnett, C. D., and Blaisdell, J. M.: Retrieval of atmospheric
and surface parameters from AIRS/AMSU/HSB data in the precense of
clouds, IEEE T. Geosci. Remote, 41, 390–409, https://doi.org/10.1109/TGRS.2002.808236, 2003. a, b
Tobin, D. C., Revercomb, H. E., Knuteson, R. O., Lesht, B. M., Strow, L. L.,
Hannon, S. E., Feltz, W. F., Moy, L. A., Fetzer, E. J., and Cress, T. S.:
Atmospheric Radiation Measurement site atmospheric state best estimates for
Atmospheric Infrared Sounder temperature and water vapor retrieval
validation, J. Geophys. Res.-Atmos., 111, D09S14,
https://doi.org/10.1029/2005jd006103, 2006. a
Trinh, Q. T., Kalisch, S., Preusse, P., Chun, H.-Y., Eckermann, S. D., Ern, M.,
and Riese, M.: A comprehensive observational filter for satellite infrared
limb sounding of gravity waves, Atmos. Meas. Tech., 8, 1491–1517,
https://doi.org/10.5194/amt-8-1491-2015, 2015. a, b
Trinh, Q. T., Kalisch, S., Preusse, P., Ern, M., Chun, H.-Y., Eckermann, S. D.,
Kang, M.-J., and Riese, M.: Tuning of a convective gravity wave source
scheme based on HIRDLS observations, Atmos. Chem. Phys., 16, 7335–7356,
https://doi.org/10.5194/acp-16-7335-2016, 2016. a, b, c
Tsuchiya, C., Sato, K., Alexander, M. J., and Hoffmann, L.: MJO-related
intraseasonal variation of gravity waves in the Southern Hemisphere tropical
stratosphere revealed by high-resolution AIRS observations, J. Geophys.
Res.-Atmos., 121, 7641–7651, https://doi.org/10.1002/2015JD024463, 2015JD024463, 2016. a
Tsuda, T., Murayama, Y., Wiryosumarto, H., Harijono, S. W. B., and Kato, S.:
Radiosonde observations of equatorial atmosphere dynamics over Indonesia: 2.
Characteristics of gravity waves, J. Geophys. Res.-Atmos., 99,
10507–10516, https://doi.org/10.1029/94JD00354, 1994. a
Vadas, S. L., Fritts, D. C., and Alexander, M. J.: Mechanism for the
Generation of Secondary Waves in Wave Breaking Regions, J. Atmos. Sci., 60,
194–214, https://doi.org/10.1175/1520-0469(2003)060<0194:MFTGOS>2.0.CO;2, 2003. a
Vincent, R. A. and Alexander, M. J.: Gravity waves in the tropical lower
stratosphere: An observational study of seasonal and interannual
variability, J. Geophys. Res.-Atmos., 105, 17971–17982,
https://doi.org/10.1029/2000JD900196, 2000. a
Wang, L. and Geller, M. A.: Morphology of gravity-wave energy as observed from
4 years (1998–2001) of high vertical resolution U.S. radiosonde data, J.
Geophys. Res., 108, 4489, https://doi.org/10.1029/2002JD002786, 2003. a
Wright, C. J., Osprey, S. M., Barnett, J. J., Gray, L. J., and Gille, J. C.:
High Resolution Dynamics Limb Sounder measurements of gravity wave activity
in the 2006 Arctic stratosphere, J. Geophys. Res.-Atmos., 115, D02105,
https://doi.org/10.1029/2009JD011858, 2010.
a, b
Wright, C. J., Rivas, M. B., and Gille, J. C.: Intercomparisons of HIRDLS,
COSMIC and SABER for the detection of stratospheric gravity waves, Atmos.
Meas. Tech., 4, 1581–1591, https://doi.org/10.5194/amt-4-1581-2011, 2011. a
Wright, C. J., Osprey, S. M., and Gille, J. C.: Global observations of gravity
wave intermittency and its impact on the observed momentum flux morphology,
J. Geophys. Res.-Atmos., 118, 10980–10993, https://doi.org/10.1002/jgrd.50869,
2013. a
Wright, C. J., Osprey, S. M., and Gille, J. C.: Global distributions of
overlapping gravity waves in HIRDLS data, Atmos. Chem. Phys., 15,
8459–8477, https://doi.org/10.5194/acp-15-8459-2015, 2015. a
Wright, C. J., Hindley, N. P., and Mitchell, N. J.: Combining AIRS and MLS
observations for three-dimensional gravity wave measurement, Geophys. Res.
Lett., 43, 884–893, 2015GL067233, https://doi.org/10.1002/2015GL067233,
2016a. a
Wright, C. J., Hindley, N. P., Moss, A. C., Fritts, D. C., Janches, D., and
Mitchell, N. J.: Multi-instrument gravity-wave measurements over Tierra del
Fuego and the Drake Passage – Part 1: Potential energies and vertical
wavelengths from AIRS, COSMIC, HIRDLS, MLS-Aura, SAAMER, SABER and
radiosondes, Atmos. Meas. Tech., 9, 877–908, https://doi.org/10.5194/amt-9-877-2016,
2016b. a
Wright, C. J., Hindley, N. P., Hoffmann, L., Alexander, M. J., and Mitchell,
N. J.: Exploring gravity wave characteristics in 3-D using a novel
S-transform technique: AIRS/Aqua measurements over the Southern Andes and
Drake Passage, Atmos. Chem. Phys., 17, 8553–8575,
https://doi.org/10.5194/acp-17-8553-2017, 2017. a
Wu, D. L. and Waters, J. W.: Gravity-wave-scale temperature fluctuations seen
by the UARS MLS, Geophys. Res. Lett., 23, 3289–3292,
https://doi.org/10.1029/96GL02924, 1996a. a
Wu, D. L. and Waters, J. W.: Satellite observations of atmospheric variances:
A possible indication of gravity waves, Geophys. Res. Lett., 23, 3631–3634,
https://doi.org/10.1029/96GL02907, 1996b. a
Wu, D. L. and Zhang, F.: A study of mesoscale gravity waves over the North
Atlantic with satellite observations and a mesoscale model, J. Geophys.
Res.-Atmos., 109, D22104, https://doi.org/10.1029/2004JD005090, 2004. a, b
Wu, D. L., Preusse, P., Eckermann, S. D., Jiang, J. H., de la Torre, M.,
Juarez, L. C., and Wang, D. Y.: Remote sounding of atmospheric gravity waves
with satellite limb and nadir techniques, Adv. Space Res., 37, 2269–2277,
https://doi.org/10.1016/j.asr.2005.07.031, 2006. a
Short summary
We investigate stratospheric gravity wave observations by the Atmospheric InfraRed Sounder (AIRS) and the High Resolution Dynamics Limb Sounder (HIRDLS). Waves seen by AIRS contribute significantly to momentum flux, which indicates a calculated momentum flux factor. AIRS and HIRDLS agree well in the phase structure of the wave events and also in the seasonal and latitudinal patterns of gravity wave activity and can be used complementary to each other.
We investigate stratospheric gravity wave observations by the Atmospheric InfraRed Sounder...
