Below is a non-exhaustive list of some documents produced in support of the activity of the core group, either to provoke discussion within the group, or as direct responses to such discussions

Ball, M. A., and R. S. Plant, 2008: Comparison of stochastic parameterization approaches in a single-column model, Phil. Trans. Roy. Soc. A, 366, 2605-2623

Barkidija, and Z. Fuchs, 2012: Precipitation Correlation Between Convective Available Potential Energy, Convective Inhibition and Saturation Fraction in Middle Latitudes. Atmospheric Research, 124, 170–180

Bechtold, B., M. Köhler, T. Jung, F. Doblas-Reyes, M. Leutbecher, M. J. Rodwell, F. Vitart, and G. Balsamo, 2008: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales. Q. J. R. Meteorol. Soc. 134, 1337-1351

Bechtold, P., J.-P. Chaboureau, A. Beljaars, A. K. Betts, M. Köhler, M. Miller and J.-L. Redelsperger, 2004: The simulation of the diurnal cycle of convective precipitation over land in global models. Q. J. R. Meteor. Soc., 130, 3119-3137

Bengtsson, L., M. Steinheimer, P. Bechtold, and J.-F. Geleyn, 2013: A stochastic parametrization for deep convection using cellular automata. Quarterly Journal of the Royal Meteorological Society. Published online: 31 JAN 2013. DOI: 10.1002/qj.2108

Bengtsson, L., S. Tijm, F. Váňa, G. Svensson, 2012: Impact of Flow-Dependent Horizontal Diffusion on Resolved Convection in AROME. J. Appl. Meteor. Climatol., 51, 54–67

Bengtsson, L., H. Körnich, E. Källén, G. Svensson, 2011: Large-Scale Dynamical Response to Subgrid-Scale Organization Provided by Cellular Automata. J. Atmos. Sci., 68, 3132–3144

Bengtsson, L. K., L. Magnusson, E. Källén, 2008: Independent Estimations of the Asymptotic Variability in an Ensemble Forecast System. Mon. Wea. Rev., 136, 4105–4112. doi: 10.1175/2008MWR2526.1.

Bengtsson, L.: On the Convective-Scale Predictability of the Atmosphere. PhD thesis, ISBN 978-91-7447-494-7, Stockholm University Press

Benmoshe, N., M. Pinsky, A. Pokrovsky, and A. Khain, 2012: Turbulent effects on the microphysics and initiation of warm rain in deep convective clouds: 2-D simulations by a spectral mixed-phase microphysics cloud model, Geophys. Res., 117, D06220, doi:10.1029/2011JD016603

Bihlo, A., and G. Bluman, 2012: Conservative parameterization schemes, Mathematical Physics.  arXiv:1209.4279 [math-ph]

Bihlo, A., E. Dos Santos Cardoso-Bihlo, R. O. Popovych, 2012: Invariant parameterization and turbulence modeling on the beta-plane. arXiv:1112.1917v1 [math-ph]

Bister, M., and M. Kulmala, 2011: Anthropogenic aerosols may have increased upper tropospheric humidity in the 20th century, Atmos. Chem. Phys., 11, 4577-4586, doi:10.5194/acp-11-4577-201

Bister, M., N. Renno, O. Pauluis, and K.A. Emanuel, 2011: Comment on Makarieva et al. ‘A critique of some modern applications of the Carnot heat engine concept: the dissipative heat engine cannot exist’, Proc. R. Soc. A, 467, 2125 1-6. doi: 10.1098/rspa.2010.0087

Bister, M., 1998: Cumulus Parameterisation in Regional Forecast Models: A Review, 1-32

Bližňák V., and Z. Sokol, 2012, The exploitation of Meteosat Second Generation data for convective storms over the Czech Republic, Atmospheric Research, Volume 103, January 2012, Pages 60-69, ISSN 0169-8095, 10.1016/j.atmosres.2011.05.005

Bliznak, V., Z. Sokol, and P. Pesice, 2012. The application of Rapid Scan data on the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic. Atmos. Res., Published online: 24 August 2012

Bodenschatz, E., S.P. Malinowski, R.A. Shaw, and F. Stratmann, 2010: Can We Understand Clouds without Turbulence? Science, 327, no. 5968, 970 – 971, DOI: 10.1126/science.1185138

Böing, S. J., H.J.J. Jonker, A.P. Siebesma, and W. Grabowski, 2012: Influence of the subcloud layer on the development of a deep convective ensemble. J. Atmos. Sci., 69, 2682–2698. doi:http://dx.doi.org/10.1175/JAS-D-11-0317.1

Bouniol, D., and Coauthors, 2010: Using Continuous Ground-Based Radar and Lidar Measurements for Evaluating the Representation of Clouds in Four Operational Models. J. Appl. Meteor. Climatol., 49, 1971–1991

Boutle, I. A., S. E. Bechler, and R. S. Plant, 2011: Moisture transport in mid-latitude cyclones. Quart. J. Roy. Meteorol. Soc., 137 (655), 360-37

Boutle, I. A., R. J. Beare, S. E. Belcher, A. R. Brown, and R. S. Plant, 2010: The moist boundary layer under a mid-latitude weather system. Bound. Lay. Meteorol., 134:367-386

Catry, B., J.-F. Geleyn, M. Tudor, P. Bénard, and A. Trojáková, 2007: Flux conservative thermodynamic equations in a mass weighted framework. Tellus, 59A, 71-79

Cohen, B. G., and G. C. Craig, 2006: Fluctuations in an equilibrium convective ensemble. Part II: Numerical experiments. J. Atmos. Sci., 63, 2005-2015, doi: 10.1175/JAS3710.1

Cohen, B. G., and G. C. Craig, 2004: The response time of a convective cloud ensemble to a change in forcing. Quart. J. Roy. Meteor. Soc., 130, 933-944

Comellas, A., Fuchs Z., Molini L., and A. Parodi, 2012: Saturation fraction and gross moist stability in severe precipitating systems in the midlatitude Mediterranean environment. Atmospheric Research, 123, 360-367. doi: 10.1016/j.atmosres.2012.07.010

Craig, G. C., C. Keil, and D. Leuenberger, 2012: Constraints on the impact of radar rainfall data assimilation on forecasts of cumulus convection. Q.J.R. Meteorol. Soc., 138: 340–352. doi: 10.1002/qj.92

Craig G. C., and M. Würsch, 2012: The impact of localization and observation averaging for convective-scale data assimilation in a simple stochastic model. Quart. J. Roy. Meteor. Soc., DOI: 10.1002/qj.1980. Published online: 20 June 2012

Craig, G. C., and B. G. Cohen 2006: Fluctuations in an equilibrium convective ensemble. Part I: Theoretical formulation. J. Atmos. Sci., 63, 1996-2004, doi: 10.1175/JAS3709.1

Daleu, C. L., S. J. Woolnough, and R. S. Plant, 2012: Cloud-resolving model simulations with one and two-way couplings via the weak-temperature gradient approximation. Submitted to: J. Atmos. Sci.69 (12). 3683-3699. ISSN 1520-0469

Davies, L., R. S. Plant, and S. H. Derbyshire, 2012: Departures from convective equilibrium with a rapidly-varying forcing. Quart. J. Roy. Met. Soc. Published online: 17 January 2013. DOI: 10.1002/qj.2065

Davies, L., R. S. Plant, and S. H. Derbyshire, 2009:A simple model of convection with memory, J. Geophys. Res., 114, D17202, doi:10.1029/2008JD011653

Derbyshire, S. H., A. V.Maidens, S.F.Milton, R. A.Stratton, and M.R.Willett, 2011: Adaptive detrainment in a convective parametrization. Q.J.R. Meteorol. Soc., 137: 1856–1871. doi: 10.1002/qj.875

Devasthale, A., K. Karlsson, J. Quaas, and H. Graßl, 2012: Correcting orbital drift signal in the time series of AVHRR derived convective cloud fraction using rotated empirical orthogonal function, Atmos. Meas. Tech., 5, 267-273, doi:10.5194/amt-5-267-2012.

de Rooy, W.C., P. Bechtold, K. Froehlich, C. Hohenegger, H.J.J. Jonker, D. Mironov, A.P. Siebesma, J. Teixeira, and J. Yano, 2013: Entrainment and detrainment in cumulus convection: an overview, Quart. J. Royal Meteor. Soc. Vol. 139, Issue 670, 3 January 2013, 1–19. DOI: 10.1002/qj.1959

de Rooy, W.C., and A. P. Siebesma, 2010: Analytical expressions for entrainment and detrainment in cumulus convection, Quart. J. Roy. Meteorol. Soc., 136, 1216-1227, doi: 10.1002/qj.640

de Rooy, W. C., and A. P. Siebesma, 2008: A simple parameterization for detrainment in shallow cumulus, Mon. Wea. Rev., 2008, 136, 2, 560-576, doi: 10.1175/2007MWR2201.1

Diurnal cycle of convective precipitation as simulated by two versions of the global NWP model ARPEGE of Meteo France. (Images)

Doklestic, D., Z. Fuchs and A. Marki, 2010: Convectively coupled Kelvin waves and convective inhibition. Geophysics, 27, 21-36

Fiori, E., A. Parodi, and F. Siccardi, 2011: Uncertainty in prediction of deep moist convective processes: Turbulence parameterizations, microphysics and grid-scale effects, Atmospheric Research, 100 (4), 447-456

Fiori, E., A. Parodi, and F. Siccardi, 2010: Turbulence Closure Parameterization and Grid Spacing Effects in Simulated Supercell Storms, Journal of Atmospheric Sciences, 67 (12), 2870-3890, doi: 10.1175/2010JAS3359.1

Fiori. E., A. Parodi, and F. Siccardi, 2009: Dealing with uncertainty: turbulent parameterizations and grid-spacings effects in numerical modelling of deep moist convective processes. Natural Hazards and Earth System Sciences, 9, 1871-1880

Fischer, L., C. Kiemle, and G. C. Craig, 2012: Height-resolved variability of midlatitude tropospheric water vapor measured by an airborne lidar. Geophys. Res. Let., 39, DOI:10.1029/2011GL050621.

Fuchs, Z., S. Gjorgjievska, and D. Raymond, 2012: Effects of Varying the Shape of the Convective Heating Profile on Convectively Coupled Gravity Waves and Moisture Modes. J. Atmos. Sci. 69 (8), 2505-2519. doi: 10.1175/JAS-D-11-0308

Fuchs, Z., 2007: Analytical model of equatorial waves with CAPE and moisture closure. Geophysics. 24. 29-42

Fuchs, Z., and A. Marki, 2007: Large-scale modes of the tropical atmosphere. Part II: analytical modelling of Kelvin waves using the CAPE closure. Geophysics. 24. 43-55.12

Fuchs, Z., and D. J. Raymond, 2007: A simple, vertically resolved model of tropical disturbances with a humidity closure. Tellus. 59A, 344-354

Fuchs, Z., and A. Marki, 2006: Large-Scale Modes of the Tropical Atmosphere. Part I: Analytical Modeling of Convectively Coupled Kelvin Waves Using the Boundary-Layer Quasiequilibrium Approximation. Geophysics. 23. 155-164

Fuchs, Z., and D.J. Raymond, 2005: Large-Scale Modes in a Rotating Atmsophere with Radiative-Convective Instability and WISHE. J. Atmos. Sci., 62, 4084-4094

Fuchs, Z., D. J. Raymond, 2002: Large-Scale Modes of a Nonrotating Atmosphere with Water Vapor and Cloud-Radiation Feedbacks. Journal of the Atmospheric Sciences. 59, 1669-1679

Gehlot, S., and J. Quaas, 2012: Convection-climate feedbacks in the ECHAM5 general circulation model: Evaluation of cirrus cloud life cycles with ISCCP satellite data from a Lagrangian trajectory perspective, J. Clim., 25, 5241–5259, doi: 10.1175/JCLI-D-11-00345.1

Geleyn, J.-F., and P. Marquet, 2010: Moist thermodynamics and moist turbulence for modelling at the non-hydrostatic scales. ECMWF Workshop; Non-hydrostatic modelling, 55-66

Geleyn, J.-F., B. Catry, Y. Bouteloup, and R. Broková, 2008: A statistical approach for sedimentation inside a micro-physical precipitation scheme. Tellus A, 60, 649-662

Gerard, L., 2012: Microphysics and convection in the ‘grey zone’, ECMWF Workshop on Parametrization of Clouds and Precipitation, 5 to 8 November 2012, 8 pages

Gerard, L., J. M. Piriou, R. Brožková, J.F. Geleyn, and D. Banciu, 2009: Cloud and Precipitation Parameterization in a Meso-Gamma-Scale Operational Weather Prediction Model. Mon. Wea. Rev., 137, 3960–3977, doi: 10.1175/2009MWR2750.1

Gerard, L., 2007: An integrated package for subgrid convection, cloud and precipitation compatible with the meso-omega scales. Quart. J. Roy. Meteor. Soc., 133, 711-730

Gerard, L., and J.-F. Geleyn, 2005: Evolution of a subgrid deep convection parameterization in a limited-area model with increasing resolution. Quart. J. Roy. Meteor. Soc., 131, 2293-2312

Gorska, A., S.P. Malinowski, T.A. Kowalewski, P.M. Korczyk, S. Blonski, and W. Kumala, 2013: Entraining structures in laboratory analogues of cumulus and stratocumulus top. Submitted to Atmospheric Research.

Graf, H.-F., and J. Yang, 2007: Evaluation of a new convective cloud field model: precipitation over the maritime continent. Atmos. Chem. Phys., 7, 409-421

Grandey, B.S., P. Stier, and T. M. Wagner, 2013: Investigating relationships between aerosol optical depth and cloud fraction using satellite, aerosol reanalysis and general circulation model data, Atmos. Chem. Phys., 13, 3177-3184. doi:10.5194/acp-13-3177-2013

Grandey, B. S., P. Stier, T. M. Wagner, R. G. Grainger, and K. I. Hodges, 2011:The effect of extratropical cyclones on satellite-retrieved aerosol properties over ocean, Geophys. Res. Lett.,b<>38, L13805, doi:10.1029/2011GL047703

Groenemeijer, P. H. and G. C. Craig, 2012: Ensemble forecasting with a stochastic convective parametrization based on equilibrium statistics. Atm. Chem. Phys., 12, 4555-4565, DOI:10.5194/acp-12-4555-2012

Grützun, V., J. Quaas, and F. Ament. Evaluating statistical cloud schemes - what can we gain from ground based remote sensing? J. Geophys. Res., in revision

Han, J.-Y., J.-J. Baik, and A.P. Khain, 2012: A Numerical Study of Urban Aerosol Impacts on Clouds and Precipitation. J. Atmos. Sci., 69, 504–520. doi: 10.1175/JAS-D-11-071.

Heinze, R., D. Mironov, and S. Raasch, 2012: Budgets of scalar fluxes for cloudy boundary layers. Proc. 20th Amer. Meteorol. Soc. Symp. on Boundary Layers and Turbulence, Boston, MA, USA, paper 11.4, 9

Hirons, L., P. Inness, F. Vitart, and P. Bechtold, 2012: Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part I: The representation of the MJO. Q. J. R. Meteor. Soc. DOI: 10.1002/qj.2059

Hirons, L., P. Inness, F. Vitart, and P. Bechtold, 2012: Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part II: The application of process-based diagnostics. Q. J. R. Meteor. Soc. DOI: 10.1002/qj.2060

Hohenegger, C., and C. S. Bretherton, 2011: Simulating deep convection with a shallow convection scheme. Atmos. Chem. Phys., 11, 10389-10406

Horvath, A., A. T. Seres, and P. Nemeth, 2012: Convective Systems and periods with larger precipitation in Hungary. Idojaras, 116 (2), 77-91

Horváth, Á., I. Geresdi, P. Németh, K. Csirmaz, and F. Dombai, 2009: Numerical modeling of severe convective storms occurring in the Carpathian Basin, Atmos. Res., 93, 221-237

Iguchi, T., T. Matsui, J.J. Shi, W.-K. Tao, A.P. Khain, A. Hou, R. Cifelli, A. Heymsfield, and A. Tokay, 2012: Numerical analysis using WRF-SBM for the cloud microphysical structures in the C3VP field campaign: Impacts of supercooled droplets and resultant riming on snow microphysics. J. Geophys. Res. DOI: 10.1029/2012JD018101 Published online: 12 December 2012

Iguchi, T., T. Nakajima, A. Khain, K. Saito, T. Takemura, H. Okamoto, T. Nishizawa, and W. Tao, 2012: Evaluation of cloud microphysics in JMA-NHM simulations using bin or bulk microphysical schemes through comparison with cloud radar observations. J. Atmos. Sci. 69, 2566–2586. doi:10.1175/JAS-D-11-0213.1

Keane, R. J., and R. S. Plant, 2011: Large-scale length and time-scales for use with stochastic convective parametrization. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.992

Keil, C., and G.C. Craig, 2011: Regime-dependent forecast uncertainty of convective precipitation. Meteorologische Zeitschrift, 20 (2), 145-151, doi: 10.1127/0941-2948/2011/0219

Khain, A. P., V. Phillips, N. Benmosheand, and A. Pokrovsky, 2012: The role of small soluble aerosols in the microphysics of deep maritime clouds. J. Atmos. Sci.(in press), doi: 10.1175/2011JAS3649.1

Khain, A., D. Rosenfeld, A. Pokrovsky, U. Blahak, and A. Ryzhkov, 2011: The role of CCN in precipitation and hail in a mid-latitude storm as seen in simulations using a spectral (bin) microphysics model in a 2D dynamic frame, Atmospheric Research, 99 (1), 129-146, doi: 10.1016/j.atmosres.2010.09.015

Khain, A., B. Lynn, and J. Dudhia, 2010: Aerosol Effects on Intensity of Landfalling Hurricanes as Seen from Simulations with the WRF Model with Spectral Bin Microphysics. J. Atmos. Sci., 67, 365–384, doi: 10.1175/2009JAS3210.1

Klocke, D., J. Quaas, and B. Stevens, 2012: Assessment of different metrics for physical climate feedbacks, Clim. Dyn., in press

Klocke, D., R. Pincus, and J. Quaas, 2011: On constraining estimates of climate sensitivity with presentday observations through model weighting, J. Clim., 24, 6092-6099, doi: 10.1175/2011JCLI4193.1

Kober, K., G. C. Craig, C. Keil, and A. Dörnbrack, 2012: Blending a probabilistic nowcasting method with a high-resolution numerical weather prediction ensemble for convective precipitation forecasts. Quart. J. Roy. Meteor. Soc., 138, 755-768, DOI:10.1002/qj.939

Köhler, M., M. Ahlgrimm,  and A. Beljaars, 2011: Unified treatment of dry convective and stratocumulus-topped boundary layers in the ECMWF model. Quarterly Journal of the Royal Meteorological Society, 137: 43–57. doi: 10.1002/qj.713

Korczyk, P.M., T.A. Kowalewski, and S.P. Malinowski, 2012: Turbulent mixing of clouds with the environment: Small scale two phase evaporating flow investigated in a laboratory by particle image velocimetry. Physica D, 241, pp. 288-296 doi:10.1016/j.physd.2011.11.003

Krichak, O.S., J.S. Breitgand, and S.B. Feldstein, 2012: A Conceptual Model for the Identification of Active Red Sea Trough Synoptic Events over the Southeastern Mediterranean. J. Appl. Meteor. Climatol., 51, 962–971. doi: 10.1175/JAMC-D-11-0223.1

Krichak, S. O., J. S.Breitgand, S.Gualdi, and S. B.Feldstein, 2011: A frequency perspective of teleconnections' role in winter precipitation in the Mediterranean (in final preparation for submission)

Kurowski, M., S. P. Malinowski, and W.W. Grabowski, 2009: Numerical investigation of entrainment and transport within stratocumulus-topped boundary layer. Q. J. Roy. Meteorol. Soc., 135, 77-92, doi:10.1002/qj.354

Leoncini, G., R.S.Plant, S.L.Gray, and P. A.Clark, 2012: Ensemble forecasts of a flood-producing storm: comparison of the influence of model-state perturbations and parameter modifications. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.1951

Leoncini, G., R.S.Plant, S. L.Grey, and P.A.Clark, 2010:  Perturbation growth at the convective scale for CSIP IOP18. J.R. Meteorol. Soc., 136:653-670

Ling. J., C. Zhang, P. Bechtold, 2013: Large-scale preconditions for MJO and non-MJO convective initiation over the tropical Indian Ocean. J. Atmos. Sci. accepted

Lynn, B.H., L.R. Leung, A. Khain, and A. Givati, 2012: Sensitivity of precipitation forecast to microphysical parameterization and grid resolution at convective –allowing and cloud-allowing scales. MWR (in revision)

Machulskaya, E., and D. Mironov, 2013: Implementation of TKE-Scalar Variance Mixing Scheme into COSMO. COSMO Newsletter 13

Magaritz, L., M. Pinsky, and A. Khain, 2010: Effects of stratocumulus clouds on aerosols in the maritime boundary layer, Atmospheric Research, 97 (4), 498-512, doi: 10.1016/j.atmosres.2010.06.010

Malinowski, S.P., K.E. Haman, M.K. Kopec, W. Kumala, and H. Gerber, 2011: Small-scale turbulent mixing at stratocumulus top observed by means of high resolution airborne temperature and LWC measurements. Journal of Physics: Conference Series, 318 (SECTION 7), art. no. 072013, DOI:10.1088/1742-6596/318/7/07201

Marquet, P., and J.-F. Geleyn: On a general definition of the squared Brunt-Väisälä Frequency associated with the moist entropy potential temperature, Quarterly Journal, DOI: 10.1002/qj.1957. Published online: 7 June 2012

Mironov, D.V., 2012: Turbulence and land-surface parameterizations for mesoscale models. Croatian-USA Workshop on Mesometeorology. Proc. 20th Amer. Meteorol. Soc. Symp. on Boundary Layers and Turbulence, Boston, MA, USA, paper, 5

Mironov, D. V., and P. P. Sullivan, 2012: Mixing in the SBL over temperature-heterogeneous surfaces: LES findings and some parameterisation ideas. Proc. ECMWF Workshop on Diurnal Cycles and the Stable Boundary Layer, European Centre for Medium-Range Weather Forecasts, Reading, UK, 149-151

Mironov, D.V., and E.E. Fedorovich, 2010: On the limiting effect of the Earth's rotation on the depth of a stably stratified layer. Quart. J. Roy. Meteor. Soc., 136, 1473-1480

Mironov, D. V., and P.P. Sullivan, 2010: Effect of horizontal surface temperature heterogeneity on turbulent mixing in the stably stratified atmospheric boundary layer. Proc. 19th Amer. Meteorol. Soc. Symp. on Boundary Layers and Turbulence, Keystone, CO, USA, paper 6.3, 10 

Mironov, D. V., 2009: Turbulence in the lower troposphere: second-order closure and mass-flux modelling frameworks. Interdisciplinary Aspects of Turbulence, Lect. Notes Phys., vol. 756, W. Hillebrandt and F. Kupka, Eds., Springer-Verlag, Berlin, Heidelberg, 161-221, doi: 10.1007/978-3-540-78961-1 5

Mironov, D. V., 2001: Pressure-potential-temperature covariance in convection with rotation. Quart. J. Roy. Meteor. Soc., 127, 89-110

Mironov, D. V., V. M. Gryanik, V. N. Lykossov, and S. S. Zilitinkevich, 1999: Comments on "A New Second-Order Turbulence Closure Scheme for the Planetary Boundary Layer'' by K. Abdella and N. McFarlane. J. Atmos. Sci., 56, 3478-3481

Molini, L., A. Parodi, N. Rebora, and G.C. Craig, 2011: Classifying severe rainfall events over Italy by hydrometeorological and dynamical criteria. Quart. J. Roy. Meteor. Soc., 137, 148-154

Nam, C., and J. Quaas, 2012: Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat, J. Clim., doi 10.1175/JCLI-D-11-00347.1

Nober, F.J., and H.F. Graf, 2005: A new convective cloud field model based on principles of self-organisation, Atmos. Chem. Phys., 5, 2749-2759, doi:10.5194/acp-5-2749-2005.

Noppel, H., A. Pokrovsky, B. Lynn, A.P. Khain, and K.D. Beheng, 2010: A spatial shift of precipitation from the sea to the land caused by introducing submicron soluble aerosols: Numerical modeling, J. Geophys. Res., 115, D18212, doi:10.1029/2009JD012645

Ollinaho, P., P. Bechtold, M. Leutbecher, M. Laine, A. Solonen, H. Haario, and H. Järvinen, 2013: Parameter variations in prediction skill optimization at ECMWF. Nonlinear Processes in Geophys. submitted

Orr, A., P. Bechtold, J. Scinoccia, M. Ern, and M. Janiskova, 2010: Improved middle atmosphere climate and analysis in the ECMWF forecasting system through a non-orographic gravity wave parametrization. J. Climate., doi:10.1175/2010JCLI3490.1 

Orr, A., and P. Bechtold, 2009: Improvement in the capturing of short-range warm season orographic precipitation in the ECMWF model. Meteorol. Atmos. Phys., 103, doi: 10.1007/s00703-008-0288-5

Parodi, A., E. Foufoula-Georgiou, and K. Emanuel, 2011: Signature of microphysics on spatial rainfall statistics, J. Geophys. Res., 116, D14119, doi:10.1029/2010JD015124

Parodi A, and K. Emanuel, 2009: A theory for buoyancy and velocity scales in deep moist convection. J. Atmos. Sci., 66, 3449-3463

Parodi, A., J. von Hardenberg, G. Passoni, A. Provenzale and E. A. Spiegel, 2004: Clustering of Plumes in Turbulent Convection, Physical Review Letters, 92, doi: 10.1103/PhysRevLett.92.194503

Parodi, A., K. A. Emanuel, and A. Provenzale, 2003: Plume patterns in radiative-convective flow, New Journal of Physics, 5, 106.1 - 106.17

Peters, O., and D. Neelin, 2006: Critical Phenomena in Atmoshperic Precipitation. Nature Phys., 2, 393-396. doi: 10.1038/Nphys314

Peters, O., C. Hertlein, and K. Christensen, 2002: A complexity view of rainfall. Phys. Rev. Lett. 88, 018701, doi: 10.1103/PhysRevLett.88.018701

Pfeifer, M., W.Yen, M.Baldauf, G.Craig, S.Crewell, J.Fischer, M.Hagen, A.Hühnerbein, M.Mech, T.Reinhardt, M.Schröder, and A.Seifert, 2010: Validating precipitation forecasts using remote sensor synergy: A case study approach. Meteorologische Zeitschrift, 19 (6), 601-617. DOI: 10.1127/0941-2948/2010/0487

Pinsky, M., A. Khain, I.P. Mazin, and A. Korolev, 2012: Analytical estimation of droplet concentration at cloud base,  Journal of Geophysical Research DOI: 10.1029/2012JD017753 Published online: 26 September 2012

Pinsky, M., I.P. Mazin, A. Korolev, and A. Khain, 2012: Supersaturation and diffusional drop growth in liquid clouds, JAS in press

Pinsky, M., Figueras i Ventura, J., T.Otto, A.Sterkin, A.Khain, and H.W.J.Russchenberg, 2011: Application of a Simple Adaptive Estimator for an Atmospheric Doppler Radar, Geoscience and Remote Sensing, IEEE Transactions on, 49 (1), 115-127, doi: 10.1109/TGRS.2010.2052055

Pinsky, M., A.Khain, and L.Magaritz, 2010: Representing turbulent mixing of non-conservative values in Eulerian and Lagrangian cloud models. Q.J.R. Meteorol. Soc., 136: 1228–1242. doi: 10.1002/qj.624

Piotrowski, Z. P., P. K.Smolarkiewicz, S.P.Malinowski, and A. A.Wyszogrodzki, 2009: On numerical realizability of thermal convection. J. Comput. Phys., doi:10.1016/j.jcp.2009.05.023

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Schemann, V., B. Stevens, V. Grützun, and J. Quaas. Scale dependency of total water variance, and its implication for cloud parameterizations. J. Atmos. Sci., revised.

Scheufele, K., K. Kober, G. C. Craig, and C. Keil, 2013: Combining probabilistic precipitation forecasts from a nowcasting technique with a time-lagged ensemble. Meteor. Applications. DOI: 10.1002/met.1381. Published online: 22 February 2013

Schirber, S., D. Klocke, R. Pincus, J. Quaas, and J. Anderson, 2013: Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect towards the real world. J. Adv. Model. Earth Syst., 1942-2466, doi:10.1029/2012MS000167

Schirber, S., D. Klocke, R. Pincus, J. Quaas, and J. Anderson, 2012: Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect towards the real world, JAMES, doi:10.1029/2012MS000167 in press

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Shpund, J., M. Pinsky, and A. Khain, 2011: Microphysical Structure of the Marine Boundary Layer under Strong Wind and Spray Formation as Seen from Simulations Using a 2D Explicit Microphysical Model. Part I: The Impact of Large Eddies. J. Atmos. Sci., 68, 2366–2384. doi: 10.1175/2011JAS3652.1

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Teixeira, J., S. Cardoso, M. Bonazzola, J. Cole, A. Delgenio, C. Demont, C. Franklin, C. Hannay, C. Jakob, Y. Jiao, J. Karlsson, H. Kitagawa, M. Koehler, A. Kuwano-Yoshida, C. Ledrian, A. Lock, M. J. Miller, P. Marquet, J. Martins, C. R. Mechoso, E. V. Meijgaard, I. Meinke, P. M. A. Miranda, D. Mironov, R. Neggers, H. L. Pan, D. A. Randall, P. J. Rasch,  B. Rockel, W. B. Rossow, B. Ritter, A. P. Siebesma, P. Soares, F. J. Turk, P. Vaillancourt, A. Von Eengeln, and M. Zhao, 2011: Tropical and subtropical cloud transitions in weather and climate prediction models: the GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI). J. Climate, 24, 5223-5256. doi:10.1175/2011JCLI3672.1

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Weber, T., and J. Quaas, 2012: Incorporating the subgrid-scale variability of clouds in the autoconversion parameterization, JAMES, DOI: 10.1029/2012MS000156Published online: 13 November 2012

Weber, T., J. Quaas, and P. Räisänen, 2011: Evaluation of the subgrid-scale variability scheme for water vapor and cloud condensate in the ECHAM5 model using satellite data, Quart. J. Royal Meteorol. Soc., 137, 2079-2091, doi 10.1002/qj.887

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Yano, J.-I., M. Bister, Ž. Fuchs, L. Gerard, V. T. J. Phillips, S. Barkidija, and J.-M. Piriou, 2013: Phenomenology of convection-parameterization closure. Atmospheric Chemistry and Physics. 13, 4111-4131. doi:10.5194/acp-13-4111-2013 Review Article

Yano, J.-I., 2012a: Comments on “A density current parameterization coupled with Emanuel's convective scheme Part I: The models” by J.–Y. Grandpeix and J.–P. Lafore,  J. Atmos. Sci., 69, 2083-2089. doi:http://dx.doi.org/10.1175/JAS-D-11-0106.1

Yano, J.-I. 2012b: Mass-flux subgrid-scale parameterization in analogy with multi-component flows: A formulation towards scale independence. Geosci. Model Dev., 5, 1425-2440

Yano, J.-I., and H.Beizig, 2012: Single SCA-plume dynamics. Dyn. Atmos. Oceans, 58, 62-94, doi: 10.1016/j.dynatmoce.2012.09.001

Yano, J.-I., S.K. Cheedela, and G.L. Roff, 2012: A Compressed Super-Parameterization: Test of NAM-SCA under Single-Column GCM Configurations. Atmos. Chem. Phys. Discuss., 12, 28237-28303

Yano, J.-I., Hans-F. Graf, and Florin Spineanu, 2012a: Theoretical and Operational Implications of Atmospheric Convective Organization. Bull. Amer. Meteor. Soc., 93, ES39–ES41.doi: 10.1175/BAMS-D-11-00178.1

Yano, J.-I., S. Kumar, and G. L. Roff, 2012e: Towards compressed super-parameterization: Test of NAM-SCA under single-column GCM configurations. Atmos. Phys. Chem. Dis., 12, 28237-28303

Yano, J.-I., C. Liu, and M. W. Moncrieff, 2012b: Atmospheric convective organization: homeostasis or criticality? submitted to J. Atmos. Sci., 69, 3449-3462

Yano, J.-I., C. Liu, and M. W. Moncrieff, 2012: Self–Criticality and Homeostasis in Atmospheric Convective Organization,  J. Atmos. Sci., 69, 3449–3462. doi: dx.doi.org/10.1175/JAS-D-12-069.1

Yano, J.-I., E. Machulskaya, P. Bechtold, and R.S. Plant, 2012c: Meeting report: Bells and Whistles of Convection Parameterization. Bull. Amer. Meteor. Soc., doi:http://dx.doi.org/10.1175/BAMS-D-12-00118.1

Yano, J.-I., and R.S. Plant, 2012a: Finite departure from convective quasi-equilibrium: periodic cycle and discharge–recharge mechanism. Q. J. R. Meteorol. Soc., 138: 626–637

Yano, J. I., and R.S. Plant, 2012b: Coupling of shallow and deep convection: A key missing element in atmospheric modelling. J. Atmos. Sci. 69, 3463-347. doi:http://dx.doi.org/10.1175/JAS-D-12-0108.1

Yano, J.-I., and R.S. Plant, 2012c: Convective quasi-equilibrium. Rev. Geophys., 50, RG4004. doi:10.1029/2011RG000378

Yano, J.-I., 2011: Interactive comment on "Simulating deep convection with a shallow convection scheme'' by C. Hohenegger and C. S. Bretherton: On PBL--based closure. Atmos. Chem. Phys. Discuss., 11, C2411-C2425, 2011

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Yano, J.-I., 2011: On Derivation and Interpretation of Kuo-Eliassen Equation. J. Adv. Model. Earth Syst., 3 (2), 4, doi:10.1029/JAMES.2011.3.2

Yano, J.-I., and V. T. J. Phillips, 2011: Ice-Ice Collisions: An ice multiplication process in atmospheric clouds, J. Atmos. Sci., 68, 322-333

Yano, J.-I., 2010: Downscaling, Parameterization, Decomposition, Compression: A Perspective from the Multiresolutional Analysis. Adv. Geophy., 23, 65-71

Yano, J.-I., 2010: Interactive comment on "Why anisotropic turbulence matters: another reply" by S. Lovejoy et al. Atmos. Chem. Phys. Discuss., 10, C1625--C1629

Yano, J.-I., P. Benard, F. Couvreux, and A. Lahellec, 2010: NAM-SCA: Nonhydrostatic Anelastic Model with Segmentally-Constant Approximation . Mon. Wea. Rev., 138, 1957-1974

Yano, J.-I., and Buniol, D., 2010: A minimum bulk microphysics. Atmos. Chem. Phys. Discuss., 10, 30305--30345, doi:10.5194/acpd-10-30305-2010

Yano, J.-I., J.-F. Geleyn, and S.Malinowski, 2010: Challenges for a New Generation of Regional Forecast Models: Workshop on Concepts for Convective Parameterizations in Large-Scale Model III: "Increasing Resolution and Parameterization"; Warsaw, Poland, 17-19 March 2010. EOS, 91, No.26, 232

Yano, J.-I., 2009: Notes on history of plume studies

Yano, J.-I., and P. Bechtold, 2009: Toward physical understanding of cloud entrainment-detrainment processes, EOS, 2009, 90, 258 (No. 30, 28 July)

Yano, J.-I., 2008: Ensemble plume dynamics and Arakawa and Schubert's convective parameterization, notes

Yano, J.-I., J. Quaas, T. M. Wagner, and R. S. Plant, 2008: Toward statistical descriptions of convective cloud dynamics. EOS , 88, 212 (No. 23, 3 June)

Zacharov, P., D.Rezacova, R.Brozkova, 2012: Evaluation of the QPF quality for convective flash flood rainfalls over the Czech territory in 2009, Atmos. Res., submitted for the Special Issue of Atmospheric Research entitled “Perspectives of Precipitation Science” - in review

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Zimmer, M., G. C.Craig, H.Wernli, and C.Keil, 2011: Classification of precipitation events with a convective response timescale. Geophys. Res. Lett., 38, L05802, doi:10.1029/2010GL046199

Zygmuntowska, M., T. Mauritsen, J. Quaas, and L. Kaleschke, 2011: Artcic clouds and surface radiation - a critic