Articles | Volume 11, issue 6
https://doi.org/10.5194/acp-11-2765-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-11-2765-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Mar 2011
Research article |
| 25 Mar 2011
Representation of tropical deep convection in atmospheric models – Part 1: Meteorology and comparison with satellite observations
M. R. Russo
NCAS-Climate, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
V. Marécal
Centre National de Recherches Météorologique/Groupe d'étude de l'Atmosphère Météorologique, Météo-France and CNRS, Toulouse, France
C. R. Hoyle
Department of Geosciences, University of Oslo, Norway
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
J. Arteta
Centre National de Recherches Météorologique/Groupe d'étude de l'Atmosphère Météorologique, Météo-France and CNRS, Toulouse, France
C. Chemel
NCAS-Weather, Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, Hatfield, UK
M. P. Chipperfield
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, UK
O. Dessens
Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
W. Feng
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, UK
J. S. Hosking
Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
now at: British Antarctic Survey, Cambridge, UK
P. J. Telford
NCAS-Climate, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
O. Wild
Lancaster Environment Centre, Lancaster University, UK
X. Yang
NCAS-Climate, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
J. A. Pyle
NCAS-Climate, Centre for Atmospheric Science, University of Cambridge, Cambridge, UK
Related subject area
Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Bacteria in clouds biodegrade atmospheric formic and acetic acids
Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations
Trifluoroacetic acid deposition from emissions of HFO-1234yf in India, China, and the Middle East
Convective uplift of pollution from the Sichuan Basin into the Asian monsoon anticyclone during the StratoClim aircraft campaign
Biodegradation by bacteria in clouds: an underestimated sink for some organics in the atmospheric multiphase system
Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems
Modeling the partitioning of organic chemical species in cloud phases with CLEPS (1.1)
Thermodynamic derivation of the activation energy for ice nucleation
Effects of aerosols on precipitation in north-eastern North America
The role of horizontal model resolution in assessing the transport of CO in a middle latitude cyclone using WRF-Chem
Structure–activity relationship for the estimation of OH-oxidation rate constants of carbonyl compounds in the aqueous phase
Explicit modeling of volatile organic compounds partitioning in the atmospheric aqueous phase
Possible catalytic effects of ice particles on the production of NOx by lightning discharges
Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model
Regional scale effects of the aerosol cloud interaction simulated with an online coupled comprehensive chemistry model
Structure-activity relationships to estimate the effective Henry's law constants of organics of atmospheric interest
Uncertainties in atmospheric chemistry modelling due to convection parameterisations and subsequent scavenging
A meteorological overview of the ARCTAS 2008 mission
Leslie Nuñez López, Pierre Amato, and Barbara Ervens
Atmos. Chem. Phys., 24, 5181–5198, https://doi.org/10.5194/acp-24-5181-2024, https://doi.org/10.5194/acp-24-5181-2024, 2024
Short summary
Short summary
Living bacteria comprise a small particle fraction in the atmosphere. Our model study shows that atmospheric bacteria in clouds may efficiently biodegrade formic and acetic acids that affect the acidity of rain. We conclude that current atmospheric models underestimate losses of these acids as they only consider chemical processes. We suggest that biodegradation can affect atmospheric concentration not only of formic and acetic acids but also of other volatile, moderately soluble organics.
Aishwarya Raman, Thomas Hill, Paul J. DeMott, Balwinder Singh, Kai Zhang, Po-Lun Ma, Mingxuan Wu, Hailong Wang, Simon P. Alexander, and Susannah M. Burrows
Atmos. Chem. Phys., 23, 5735–5762, https://doi.org/10.5194/acp-23-5735-2023, https://doi.org/10.5194/acp-23-5735-2023, 2023
Short summary
Short summary
Ice-nucleating particles (INPs) play an important role in cloud processes and associated precipitation. Yet, INPs are not accurately represented in climate models. This study attempts to uncover these gaps by comparing model-simulated INP concentrations against field campaign measurements in the SO for an entire year, 2017–2018. Differences in INP concentrations and variability between the model and observations have major implications for modeling cloud properties in high latitudes.
Liji M. David, Mary Barth, Lena Höglund-Isaksson, Pallav Purohit, Guus J. M. Velders, Sam Glaser, and A. R. Ravishankara
Atmos. Chem. Phys., 21, 14833–14849, https://doi.org/10.5194/acp-21-14833-2021, https://doi.org/10.5194/acp-21-14833-2021, 2021
Short summary
Short summary
We calculated the expected concentrations of trifluoroacetic acid (TFA) from the atmospheric breakdown of HFO-1234yf (CF3CF=CH2), a substitute for global warming hydrofluorocarbons, emitted now and in the future by India, China, and the Middle East. We used two chemical transport models. We conclude that the projected emissions through 2040 would not be detrimental, given the current knowledge of the effects of TFA on humans and ecosystems.
Keun-Ok Lee, Brice Barret, Eric L. Flochmoën, Pierre Tulet, Silvia Bucci, Marc von Hobe, Corinna Kloss, Bernard Legras, Maud Leriche, Bastien Sauvage, Fabrizio Ravegnani, and Alexey Ulanovsky
Atmos. Chem. Phys., 21, 3255–3274, https://doi.org/10.5194/acp-21-3255-2021, https://doi.org/10.5194/acp-21-3255-2021, 2021
Short summary
Short summary
This paper focuses on the emission sources and pathways of pollution from the boundary layer to the Asian monsoon anticyclone (AMA) during the StratoClim aircraft campaign period. Simulations with the Meso-NH cloud-chemistry model at a horizontal resolution of 15 km are performed over the Asian region to characterize the impact of monsoon deep convection on the composition of AMA and on the formation of the Asian tropopause aerosol layer during the StratoClim campaign.
Amina Khaled, Minghui Zhang, Pierre Amato, Anne-Marie Delort, and Barbara Ervens
Atmos. Chem. Phys., 21, 3123–3141, https://doi.org/10.5194/acp-21-3123-2021, https://doi.org/10.5194/acp-21-3123-2021, 2021
Viral Shah, Daniel J. Jacob, Jonathan M. Moch, Xuan Wang, and Shixian Zhai
Atmos. Chem. Phys., 20, 12223–12245, https://doi.org/10.5194/acp-20-12223-2020, https://doi.org/10.5194/acp-20-12223-2020, 2020
Short summary
Short summary
Cloud water pH affects atmospheric chemistry, and acid rain damages ecosystems. We use model simulations along with observations to present a global view of cloud water and precipitation pH. Sulfuric acid, nitric acid, and ammonia control the pH in the northern midlatitudes, but carboxylic acids and dust cations are important in the tropics and subtropics. The acid inputs to many nitrogen-saturated ecosystems are high enough to cause acidification, with ammonium as the main acidifying species.
Clémence Rose, Nadine Chaumerliac, Laurent Deguillaume, Hélène Perroux, Camille Mouchel-Vallon, Maud Leriche, Luc Patryl, and Patrick Armand
Atmos. Chem. Phys., 18, 2225–2242, https://doi.org/10.5194/acp-18-2225-2018, https://doi.org/10.5194/acp-18-2225-2018, 2018
Short summary
Short summary
A detailed aqueous phase mechanism CLEPS 1.1 is coupled with warm microphysics including activation of aerosol particles into cloud droplets. Simulated aqueous concentrations of carboxylic acids are close to the long-term measurements conducted at Puy de Dôme (France). Sensitivity tests show that formic and acetic acids mainly originate from the gas phase with highly variable aqueous-phase reactivity depending on cloud pH, while C3–C4 carboxylic acids mainly originate from the particulate phase.
D. Barahona
Atmos. Chem. Phys., 15, 13819–13831, https://doi.org/10.5194/acp-15-13819-2015, https://doi.org/10.5194/acp-15-13819-2015, 2015
Short summary
Short summary
This paper describes the process of the transfer of water molecules between liquid and the ice during the early stages of ice formation. Using concepts of nonreversible thermodynamics, it is shown that the activation energy can be defined in terms of the bulk self-diffusivity of water and the probability of interface transfer. The application of this model to classical nucleation theory shows good agreement of measured nucleation rates with experimental results for temperatures as low as 190K.
R. Mashayekhi and J. J. Sloan
Atmos. Chem. Phys., 14, 5111–5125, https://doi.org/10.5194/acp-14-5111-2014, https://doi.org/10.5194/acp-14-5111-2014, 2014
C. A. Klich and H. E. Fuelberg
Atmos. Chem. Phys., 14, 609–627, https://doi.org/10.5194/acp-14-609-2014, https://doi.org/10.5194/acp-14-609-2014, 2014
J.-F. Doussin and A. Monod
Atmos. Chem. Phys., 13, 11625–11641, https://doi.org/10.5194/acp-13-11625-2013, https://doi.org/10.5194/acp-13-11625-2013, 2013
C. Mouchel-Vallon, P. Bräuer, M. Camredon, R. Valorso, S. Madronich, H. Herrmann, and B. Aumont
Atmos. Chem. Phys., 13, 1023–1037, https://doi.org/10.5194/acp-13-1023-2013, https://doi.org/10.5194/acp-13-1023-2013, 2013
H. S. Peterson and W. H. Beasley
Atmos. Chem. Phys., 11, 10259–10268, https://doi.org/10.5194/acp-11-10259-2011, https://doi.org/10.5194/acp-11-10259-2011, 2011
W. Feng, M. P. Chipperfield, S. Dhomse, B. M. Monge-Sanz, X. Yang, K. Zhang, and M. Ramonet
Atmos. Chem. Phys., 11, 5783–5803, https://doi.org/10.5194/acp-11-5783-2011, https://doi.org/10.5194/acp-11-5783-2011, 2011
M. Bangert, C. Kottmeier, B. Vogel, and H. Vogel
Atmos. Chem. Phys., 11, 4411–4423, https://doi.org/10.5194/acp-11-4411-2011, https://doi.org/10.5194/acp-11-4411-2011, 2011
T. Raventos-Duran, M. Camredon, R. Valorso, C. Mouchel-Vallon, and B. Aumont
Atmos. Chem. Phys., 10, 7643–7654, https://doi.org/10.5194/acp-10-7643-2010, https://doi.org/10.5194/acp-10-7643-2010, 2010
H. Tost, M. G. Lawrence, C. Brühl, P. Jöckel, The GABRIEL Team, and The SCOUT-O3-DARWIN/ACTIVE Team
Atmos. Chem. Phys., 10, 1931–1951, https://doi.org/10.5194/acp-10-1931-2010, https://doi.org/10.5194/acp-10-1931-2010, 2010
H. E. Fuelberg, D. L. Harrigan, and W. Sessions
Atmos. Chem. Phys., 10, 817–842, https://doi.org/10.5194/acp-10-817-2010, https://doi.org/10.5194/acp-10-817-2010, 2010
Cited articles
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeor., 4, 1147–1167, 2003.
Ackerman, S. A., Holz, R. E., Frey, R., Eloranta, E. W., Maddux, B. G., McGill, M.: Cloud Detection with MODIS. Part II: Validation, J. Atmos. Oceanic Technol., 25, 1073–1086, 2008.
Alcala, C. M. and Dessler, A. E.: Observations of deep convection in the tropics using the Tropical Rainfall Measuring Mission (TRMM) precipitation radar, J. Geophys. Res., 107(D24), 4792, https://doi.org/10.1029/2002JD002457, 2002.
Arakawa, A. and Schubert, W. H.: Interaction of a cumulus cloud ensemble with the large-scale environment, Part I., J. Atmos. Sci., 31, 674–701, 1974.
Arteta, J., Marécal, V., and Rivière, E. D.: Regional modelling of tracer transport by tropical convection – Part 1: Sensitivity to convection parameterization, Atmos. Chem. Phys., 9, 7081–7100, https://doi.org/10.5194/acp-9-7081-2009, 2009.
Arteta, J., Marécal, V., and Rivière, E. D.: Regional modelling of tracer transport by tropical convection – Part 2: Sensitivity to model resolutions, Atmos. Chem. Phys., 9, 7101–7114, https://doi.org/10.5194/acp-9-7101-2009, 2009.
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., Susskind, J.: AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems, IEEE Trans. Geosci. Remote Sens., 41, 253–264, 2003.
Barret, B., Williams, J. E., Bouarar, I., Yang, X., Josse, B., Law, K., Pham, M., Le Flochmoën, E., Liousse, C., Peuch, V. H., Carver, G. D., Pyle, J. A., Sauvage, B., van Velthoven, P., Schlager, H., Mari, C., and Cammas, J.-P.: Impact of West African Monsoon convective transport and lightning NOx production upon the upper tropospheric composition: a multi-model study, Atmos. Chem. Phys., 10, 5719–5738, https://doi.org/10.5194/acp-10-5719-2010, 2010.
Berntsen, T., Fuflestvedt, Myhre, G., Stordal, F., and Berglen, T. F.: Abatement of greenhouse gases: does location matter?, Climatic Change, 74, 377–411, https://doi.org/10.1007/s10584-006-0433-4, 2006.
Berthet, G., Esler, J. G., and Haynes, P. H.: A Lagrangian perspective of the tropopause and the ventilation of the lowermost stratosphere, J. Geophys. Res., 112, D18102, https://doi.org/10.1029/2006JD008295, 2007.
Bowman, K. P.: Comparison of TRMM precipitation retrievals with rain gauge data from ocean buoys, J. Clim., 18, 178–190, 2005.
Cairo, F., Pommereau, J. P., Law, K. S., Schlager, H., Garnier, A., Fierli, F., Ern, M., Streibel, M., Arabas, S., Borrmann, S., Berthelier, J. J., Blom, C., Christensen, T., D'Amato, F., Di Donfrancesco, G., Deshler, T., Diedhiou, A., Durry, G., Engelsen, O., Goutail, F., Harris, N. R. P., Kerstel, E. R. T., Khaykin, S., Konopka, P., Kylling, A., Larsen, N., Lebel, T., Liu, X., MacKenzie, A. R., Nielsen, J., Oulanowski, A., Parker, D. J., Pelon, J., Polcher, J., Pyle, J. A., Ravegnani, F., Rivière, E. D., Robinson, A. D., Röckmann, T., Schiller, C., Simões, F., Stefanutti, L., Stroh, F., Some, L., Siegmund, P., Sitnikov, N., Vernier, J. P., Volk, C. M., Voigt, C., von Hobe, M., Viciani, S., and Yushkov, V.: An introduction to the SCOUT-AMMA stratospheric aircraft, balloons and sondes campaign in West Africa, August 2006: rationale and roadmap, Atmos. Chem. Phys., 10, 2237–2256, https://doi.org/10.5194/acp-10-2237-2010, 2010.
Chemel, C., Russo, M. R., Pyle, J. A., Sokhi, R. S., and Schiller, C.: Quantifying the Imprint of a Severe Hector Thunderstorm during ACTIVE/SCOUT-O3 onto the Water Content in the Upper Troposphere/Lower Stratosphere, Mon. Weather Rev., 137(8), 2493–2514, 2009.
Chipperfield, M.: New version of the TOMCAT/SLIMCAT off-line chemical transport model: intercomparison of stratospheric tracer experiments, Q. J. R. Meteorol. Soc., 132, 1179–1203, https://doi.org/10.1256/qj.05.51, 2006.
Dequé, M., Dreveton, C., Braun, A., and Cariolle, D.: The ARPEGE/IFS atmosphere model: a contribution to the French community climate modelling, Clim. Dyn., 10, 249–266, 1994.
Dessens, O., Zeng, G., Warwick, N. J., and Pyle, J. A.: Short-lived bromine compounds in the lower stratosphere; impact of climate change on ozone, Atmos. Sci. Lett., 10(3), 201–206, 2009.
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., 111, D09S15, https://doi.org/10.1029/2005JD006116, 2006.
Feng, W., Chipperfield, M. P., Dhomse, S., Monge-Sanz, B. M., Yang, X., Zhang, K., and Ramonet, M.: Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model, Atmos. Chem. Phys. Discuss., 10, 22953–22991, https://doi.org/10.5194/acpd-10-22953-2010, 2010.
Folkins, I., Loewenstein, M., Podolske, J., Oltmans, S. J., and Proffitt, M.: A barrier to vertical mixing at 14 km in the tropics: evidence from ozonesondes and aircraft measurements, J. Geophys. Res., 104, D18, 22095–22102, 1999.
Freitas, S. R., Longo, K. M., Silva Dias, M. A. F., Chatfield, R., Silva Dias, P., Artaxo, P., Andreae, M. O., Grell, G., Rodrigues, L. F., Fazenda, A., and Panetta, J.: The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation, Atmos. Chem. Phys., 9, 2843–2861, https://doi.org/10.5194/acp-9-2843-2009, 2009.
Fritsch, J. and Chappell. C.: Numerical prediction of convectively driven mesoscale pressure systems. I: Convective parameterization, J. Atmos. Sci., 37, 1722–1733, 1980.
Fueglistaler, S., Wernli, H., and Peter, T.: Tropical troposphere-to-stratosphere transport inferred from trajectory calculations, J. Geophys. Res., 109, D03108, https://doi.org/10.1029/2003JD004069, 2004.
Fueglistaler, S., Dessler, A., Dunkerton, T. J., Folkins, I., Fu, Q., and Mote, P. W.: The tropical tropopause layer, Rev. Geophys., 47, RG1004, https://doi.org/10.1029/2008RG000267, 2009.
Gettelman, A. and de F. Forster, P. M.: A climatology of the tropical tropopause layer, J. Met. Soc. Jpn., 80, 911–942, 2002.
Gettelman, A., Salby, M. L., and Sassi, F.: The distribution and influence of convection in the tropical tropopause region, J. Geophys. Res., 107, 1–12, 2002.
Gettelmann A., de F. Forster, P. M., Fujiwara, M., Fu, O., Vömel, H., Gohar, L. K., Johanson, C., and Ammerman, M.: Radiation balance of the tropical tropopause layer, J. Geophys. Res., 109, D07103, https://doi.org/10.1029/2003JD004190, 2004.
Gregory, D. and Rowntree, P.: A mass flux convection scheme with representation of cloud ensemble characteristics and stability-dependent closure, Mon. Weather Rev., 118, 1483–1506, 1990.
Grell, G. A.: Prognostic evaluation of assumptions used by cumulus parameterizations, Mon. Weather Rev., 121, 764–787, 1993.
Grell, G. A. and Dévényi, D.: A generalized approach to parameterizing convection combining ensemble and data assimilation, Geophys. Res. Lett., 29, 1693, https://doi.org/10.1029/2002GL015311, 2002.
Grosvenor, D. P., Choularton, T. W., Coe, H., and Held, G.: A study of the effect of overshooting deep convection on the water content of the TTL and lower stratosphere from Cloud Resolving Model simulations, Atmos. Chem. Phys., 7, 4977–5002, https://doi.org/10.5194/acp-7-4977-2007, 2007.
Gruber, A. and Krueger, A. F.: The status of NOAA outgoing longwave radiation data set, B. Am. Meteor. Soc., 65, 958–962, 1984.
Highwood, E. J. and Hoskins, B. J.: The tropical tropopause, Q. J. Roy. Meteorol. Soc., 124, 1579–1604, 1998.
Hong, G., Heygster, G., Notholt, J. and Buehler, S. A.: Interannual to Diurnal Variations in Tropical and Subtropical Deep Convective Clouds and Convective Overshooting from Seven Years of AMSU-B Measurements, J. Clim., 21, 4168-4189, 2008.
Hong, S.-Y. and Lim J.-O. J.: The WRF single-moment 6-class microphysics scheme (WSM6), J. Korean Meteorol. Soc., 42, 129–151, 2006.
Hosking, J. S., Russo, M. R., Braesicke, P., and Pyle, J. A.: Modelling deep convection and its impacts on the tropical tropopause layer, Atmos. Chem. Phys. Discuss., 10, 20267–20302, https://doi.org/10.5194/acpd-10-20267-2010, 2010.
Hossaini, R., Chipperfield, M. P., Monge-Sanz, B. M., Richards, N. A. D., Atlas, E., and Blake, D. R.: Bromoform and dibromomethane in the tropics: a 3-D model study of chemistry and transport, Atmos. Chem. Phys., 10, 719–735, https://doi.org/10.5194/acp-10-719-2010, 2010.
Hoyle, C. R., Marécal, V., Russo, M. R., Arteta, J., Chemel, C., Chipperfield, M. P., D'Amato, F., Dessens, O., Feng, W., Harris, N. R. P., Hosking, J. S., Morgenstern, O., Peter, T., Pyle, J. A., Reddmann, T., Richards, N. A. D., Telford, P. J., Tian, W., Viciani, S., Wild, O., Yang, X., and Zeng, G.: Tropical deep convection and its impact on composition in global and mesoscale models - Part 2: Tracer transport, Atmos. Chem. Phys. Discuss., 10, 20355–20404, https://doi.org/10.5194/acpd-10-20355-2010, 2010.
Huffman, G. J., Adler, R. F., Morrissey, M., Bolvin, D. T., Curtis, S., Joyce, R., McGavock, B., and Susskind, J.: Global precipitation at one-degree daily resolution from multi-satellite observations, J. Hydrometeor., 2, 36–50, 2001.
Illingworth, A. J., Hogan, R. J., O'Connor, E. J., Bouniol, D., Brooks, E. M., Delanoe, J., Donovan, D. P., Eastment, J. D., Gaussiat, N., Goddard, J. W. F., Haeffelin, M., Klein Baltink, H., Krasnov, O. A., Pelon, J., Piriou, J.-M., Protat, A., Russchenberg, H. W. J., Seifert, A., Tompkins, A. M., Van Zadelhoff, G.-J., Vinit, F., Willen, U., Wilson, D. R., and Wrench, C. L.: Cloudnet: Continuous evaluation of cloud profiles in seven operational models using ground-based observations, B. Am. Meteor. Soc., 88, 883–898, 2007.
Janjic, Z.: The Step-Mountain ETA Coordinate model – further developments of the convection, viscous sublayer, and turbulence closure schemes, Mon. Weather Rev., 122, 927–945, 1994.
Janjic, Z.: Comments on "Development and evaluation of a convection scheme for use in climate models", J. Atmos. Sci., 57, p. 3686, 2000.
Kain, J. S. and Fritsch, J. M.: A one-dimensional entraining/detraining plume model and its application in convective parameterization, J. Atmos. Sci., 47, 2784–2802, 1990.
Kelley, O. A., Stout, J., Summers, M. and Zipser, E. J.: Do the Tallest Convective Cells over the Tropical Ocean Have Slow Updrafts?, Mon. Weather Rev., 138, 1651–1672, 2010
King, M. D., Menzel, W. P., Kaufman, Y. J., Tanre, D., Gao, B. C., Platnick, S., Ackerman, S. A., Remer, L. A., Pincus, R., and Hubanks, P. A.: Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS, IEEE Trans. Geo. Rem. Sens., 41, 442–458, 2003.
Koster, R. D., Dirmeyer, P. A., Guo, Z. C., Bonan, G., Chan, E., Cox, P., Gordon, C. T., Kanae, S., Kowalczyk, E., Lawrence, D., Liu, P., Lu, C.-H., Malyshev, S., McAvaney, B., Mitchell, K., Mocko, D., Oki, T., Oleson, K., Pitman, A., Sud, Y. C., Taylor, C. M., Verseghy, D., Vasic, R., Xue, Y., Yamada, T.: Regions of strong coupling between soil moisture and precipitation, Science, 305(5687), 1138–1140, 2004.
Kummerow, C., Olson, W. S., and Giglio, L.: A Simplified Scheme for Obtaining Precipitation and Vertical Hydrometeor Profiles from Passive Microwave Sensors, IEEE T. Geosci. Remote, 34, 1213–1232, 1996.
Kummerow, C. , Barnes, W., Kozu, T., Shiue, J., and Simpson, J.: The Tropical Rainfall Measuring Mission (TRMM) Sensor Package, J. Atmos. Ocean Tech., 15, 808–816, 1998.
Lawrence, M. G. and Rasch, P. J.: Tracer transport in deep convective updrafts: plume ensemble versus bulk formulations, J. Atmos. Sci., 62, 2880–2894, 2005.
Levine, J. G., Braesicke, P., Harris, N. R. P., Savage, N. H., and Pyle, J., A.: Pathways and timescales for troposphereto-stratosphere transport via the tropical tropopause layer and their relevance for very short lived substances, J. Geophys. Res., 112, D04308, https://doi.org/10.1029/2005JD006940, 2007.
Liao, X., Rind, D., and Rossow, W. B.: Comparison between SAGE II and ISCCP high-level clouds 1. Global and zonal mean cloud amounts, J. Geophys. Res., 100, 1121–1135, 1995.
Liao, X., Rind, D., and Rossow, W. B.: Comparison between SAGE II and ISCCP high-level clouds, Part II: Locating cloud tops, J. Geophys. Res., 100, 1137–1147, 1995.
Liebmann, B. and Smith, C. A.: Description of a Complete (Interpolated) Outgoing Longwave Radiation Dataset, B. Am. Meteor. Soc., 77, 1275–1277, 1996.
Liu, C. and Zipser, E. J.: Global distribution of convection penetrating the tropical tropopause, J. Geophys. Res., 110, D23104, https://doi.org/10.1029/2005JD006063, 2005.
Liu, C. T.: Geographical and seasonal distribution of tropical tropopause thin clouds and their relation to deep convection and water vapor viewed from satellite measurements, J. Geophys. Res.-Atmos., 112, D09205, https://doi.org/10.1029/2006JD007479, 2007.
Liu, C., Zipser, E. J., and Nesbitt, S. W.: Global Distribution of Tropical Deep Convection: Different Perspectives from TRMM Infrared and Radar Data, J. Clim., 20, 489-503, 2007.
Luo, Z., Liu, G. Y., and Stephens, G. L.: CloudSat adding new insight into tropical penetrating convection, Geophys. Res. Lett., 35, L19819, https://doi.org/10.1029/2008GL035330, 2008
Mapes, B. E., Warner, T. T., XU, M., and Gochis, D. J.: Comparison of cumulus parameterizations and entrainment using domain-mean wind divergence ain a regional model, J. Atmos. Sci., 61, 1284–1295, 2004.
McFarlane, S. A., Mather, J. H., and Ackerman, T. P.: Analysis of tropical radiative heating profiles: A comparison of models and observations, J. Geophys. Res., 112, D14218, https://doi.org/10.1029/2006JD008290, 2007
Marécal, V., Rivière, E. D., Held, G., Cautenet, S., and Freitas, S.: Modelling study of the impact of deep convection on the utls air composition – Part I: Analysis of ozone precursors, Atmos. Chem. Phys., 6, 1567–1584, https://doi.org/10.5194/acp-6-1567-2006, 2006.
Neale, R. and Slingo, J.: The Maritime Continent and its role in the global climate: a GCM study, J. Clim., 16, 834–848, 2003.
Parker, D., Jackson, M., and Horton, E.: The 1961–1990 GISST2.2 sea surface temperature and sea ice climatology, Tech. rep., Climate Research Technical, Note No. 63, 1995.
Petch, J., Willet, M., Wong, R. and Woolnough, S.: Modelling suppressed and active convection. Comparing a numerical weather prediction, cloud-resolving and single-column model, Q. J. Roy. Meteorol. Soc., 133, 1807–1100, 2007.
Pickering, K. E., Thompson, A. M., Wang, Y., Tao, W.-K., McNamara, D. P., Kirchhoff, V. W. J. H., Heikes, B. G., Sachse, G. W., Bradshaw, J. D., Gregory, G. L., and Blake, D. R.: Convective transport of biomass burning emissions over Brazil during TRACE A, J. Geophys. Res., 101(D19), 23993–24012, 1996.
Pommereau, J.-P., Garnier, A., Held, G., Gomes, A.-M., Goutail, F., Durry, G., Borchi, F., Hauchecorne, A., Montoux, N., Cocquerez, P., Letrenne, G., Vial, F., Hertzog, A., Legras, B., Pisso, I., Pyle, J. A., Harris, N. R. P., Jones, R. L., Robinson, A., Hansford, G., Eden, L., Gardiner, T., Swann, N., Knudsen, B., Larsen, N., Nielsen, J., Christensen, T., Cairo, F., Pirre, M., Marécal, V., Huret, N., Riviére, E., Coe, H., Grosvenor, D., Edvarsen, K., Di Donfrancesco, G., Ricaud, P., Berthelier, J.-J., Godefroy, M., Seran, E., Longo, K., and Freitas, S.: An overview of the HIBISCUS campaign, Atmos. Chem. Phys. Discuss., 7, 2389–2475, https://doi.org/10.5194/acpd-7-2389-2007, 2007.
Pope, V. D., Pamment, J. A., Jackson, D. R., and Slingo, A.: The representation of water and its dependence on vertical resolution in the Hadley Centre climate model, J. Climate, 14, 3065–3085, 2001.
Quack, B. and Wallace, D. W. R.: Air-sea flux of bromoform: Controls, rates, and implications, Global Biogeochem. Cycles, 17(1), 1023, https://doi.org/10.1029/2002GB001890, 2003.
Rossow, W. B. and Pearl, C.: 22-Year survey of tropical convection penetrating into the lower stratosphere, Geophys. Res. Lett., 34, L04803, https://doi.org/10.1029/2006GL028635, 2007.
Rossow, W. B. and Schiffer, R. A.: ISCCP Cloud Data Products, B. Am. Meteor. Soc., 72, 2–20, 1991.
Rossow, W. B., Walker, A. W., and Garder, L. C.: Comparison of ISCCP and Other Cloud Amounts, J. Clim., 6, 2394–2418, 1993.
Rossow, W. B., Walker, A. W., Beuschel, D. E., and Roiter, M. D.: International Satellite Cloud Climatology Project (ISCCP) Documentation of New Cloud Datasets, WMO/TD-No. 737, World Meteorological Organization, 115 pp., 1996.
Ricaud, P., Barret, B., Attié, J.-L., Motte, E., Le Flochmoën, E., Teyssèdre, H., Peuch, V.-H., Livesey, N., Lambert, A., and Pommereau, J.-P.: Impact of land convection on troposphere-stratosphere exchange in the tropics, Atmos. Chem. Phys., 7, 5639–5657, https://doi.org/10.5194/acp-7-5639-2007, 2007.
Rind, D.: Dependence of warm and cold climate depiction on climate model resolution, J. Clim., 1, 965–997, 1988.
Saito, K., Keenan, T., Holland, G., and Puri, K.: Numerical Simulation of the Diurnal Evolution of Tropical Island Convection over the Maritime Continent, Mon. Weather Rev., 129, 378–400, 2001
Salawitch, R. J., Weisenstein, D. K., Kovalenko, L. J., Sioris, C. E., Wennberg, P. O., Chance, K., Ko, M. K. W. and McLinden, C. A.: Sensitivity of ozone to bromine in the lower stratosphere, Geophys. Res. Lett., 32, L05811, https://doi.org/10.1029/2004GL021504, 2005.
Savtchenko, A.: Deep convection and upper-tropospheric humidity: A look from the A-Train, Geophys. Res. Lett., 36, L06814, https://doi.org/10.1029/2009GL037508, 2009
Schiller, C., Groo{ß}, J.-U., Konopka, P., Plöger, F., Silva dos Santos, F. H., and Spelten, N.: Hydration and dehydration at the tropical tropopause, Atmos. Chem. Phys., 9, 9647–9660, https://doi.org/10.5194/acp-9-9647-2009, 2009.
Sherwood, S. C. and Dessler, A. E.: A model for transport across the tropical tropopause, J. Atmos. Sci., 58, 765–779, 2001.
Simmons, A. J., Uppala, S., Dee, D. and Kobayashi, S.: 2007: ERAInterim: New ECMWF reanalysis products from 1989 onwards, ECMWF Newsletter, No. 110, ECMWF, Reading, UK, 25–35, 2007
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A description of the Advanced Research WRF Version 3, NCAR Technical Note NCAR/TN-475+STR, NCAR, NCAR Boulder, CO, USA, 2008.
Solomon, S., Rosenlof, K. H., Portmann, R. W., Daniel, J. S., Davis, S. M., Sanford, T. J. and Plattner, G.-K.: Contributions of Stratospheric Water Vapor to Decadal Changes in the Rate of Global Warming, Science, 327, 1219–1223, 2010.
Stockwell, D. Z. and Chipperfield, M.P.: A tropospheric chemical transport model: development and validation of the model transport schemes, Q. J. Roy. Meteor. Soc., 125, 1747–1783, 1999.
Sukoriansky, S., Galperin, B., and Staroselsky, I.: A quasinormal scale elimination model of turbulent flows with stable stratification, Phys. Fluids, 17, 085107, https://doi.org/10.1063/1.2009010, 2005.
Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical Note: Description and assessment of a nudged version of the new dynamics Unified Model, Atmos. Chem. Phys., 8, 1701–1712, https://doi.org/10.5194/acp-8-1701-2008, 2008.
Tian, B., Soden, B. J. and Wu, X.: Diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere: Satellites versus a general circulation model, J. Geophys. Res., 109, D10101, https://doi.org/10.1029/2003JD004117, 2004.
Tian, B., Held, I. M., Lau, N.-C., and Soden, B. J.: Diurnal cycle of summertime deep convection over North America: A satellite perspective, J. Geophys. Res., 110, D10108, https://doi.org/10.1029/2004JD005275, 2005.
Tiedtke, M.: A comprehensive mass flux scheme for cumulus parameterization in large scale models, Mon. Weather Rev., 117, 1779–1800, 1989.
Tost, H., Lawrence, M. G., Brühl, C., Jöckel, P., The GABRIEL Team, and The SCOUT-O3-DARWIN/ACTIVE Team: Uncertainties in atmospheric chemistry modelling due to convection parameterisations and subsequent scavenging, Atmos. Chem. Phys., 10, 1931–1951, https://doi.org/10.5194/acp-10-1931-2010, 2010.
Vaughan, G., Schiller, C., MacKenzie, A. R., Bower, K., Peter, T., Schlager, H., Harris, N. R. P., and May, P. T.: SCOUTO3/ACTIVE: High-altitude Aircraft Measurements around Deep Tropical Convection, B. Am. Meteorol. Soc., 89, 647–662, 2008.
Walko, R. L., Cotton, W. R., Meyers, M. P. and Harrington, J. Y.: New RAMS cloud microphysics parameterization. Part I: The single-moment scheme, 38, 29–62, 1995.
Wild, O., Sundet, J. K., Prather, M. J., Isaksen, S. A., Akimoto, H., Browell, E. V., and Oltmans, S. J.: Chemical transport model ozone simulations for spring 2001 over the western Pacific: Comparisons with TRACE-P lidar, ozonesondes and Total Ozone Mapping Spectrometer columns, J. Geophys. Res., 108(D21), 8826, https://doi.org/10.1029/2002JD003283, 2003.
WMO (World Meteorological Organization): Scientific Assessment of Ozone Depletion: 2006, Global Ozone Research and Monitoring Project Report No. 50, Geneva, Switzerland, 2007.
Wu, D. L., Ackerman, S. A., Davies, R., Diner, D. J., Garay, M. J., Kahn, B. H., Maddux, B. C., Moroney, C. M., Stephens, G. L., Veefkind, J. P. and Vaughan, M. A.: Vertical distributions and relationships of cloud occurrence frequency as observed by MISR, AIRS, MODIS, OMI, CALIPSO, and CloudSat, Geophys. Res. Lett., 36, L09821, https://doi.org/10.1029/2009GL037464, 2009.
Wylie, D. P. and Menzel, W. P.: Eight years of global high cloud statistics using HIRS, J. Climate., 12, 170–184, 1999.
Xie, P. and Arkin, P. A.: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs, B. Am. Meteor. Soc., 78, 2539–2558, 1997.
Yano, J.-I.: Deep-convective vertical transport: what is mass flux?, Atmos. Chem. Phys. Discuss., 9, 3535–3553, https://doi.org/10.5194/acpd-9-3535-2009, 2009.
Zhang, G. J. and McFarlane, N. A.: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre General Circulation Model, Atmos. Ocean., 33, 407–446, 1995.
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