YOTC Science Publications

This bibliography is constructed based on a search of peer-reviewed literature or formal technical reports that included either YOTC or Year of Tropical Convection in the title, abstract or text. Many thanks to Ann Coppin, JPL Library.

Articles in Press

Jung, T., et al. (2016), Advancing polar prediction capabilities on daily to seasonal time scales, Bulletin of the American Meteorological Society, Online Early Release, doi: http://doi.org/10.1175/BAMS-D-14-00246.1.

Penny, A. B., P. A. Harr, and J. D. Doyle (2016), Sensitivity to the representation of microphysical processes in numerical simulations during tropical storm formation, Monthly Weather Review, Online Early Release, doi: http://doi.org/10.1175/MWR-D-15-0259.1.

Parsons, D. B., and Coauthors (2016), THORPEX Research and the Science of Prediction,  Bull. Amer. Meteor. Soc. in press.


Kim, H.K., and K.H. Seo (2016), Cluster Analysis of Tropical Cyclone Tracks over the Western North Pacific Using a Self-Organizing Map, Journal of Climate, 29, 3731-3751, doi: 10.1175/JCLI-D-15-0380.1.

Matsui, T., J.D. Chern, W.K. Tao, S. Lang, M. Satoh, T. Hashino, and T. Kubota (2016), On the Land-Ocean Contrast of Tropical Convection and Microphysics Statistics Derived from TRMM Satellite Signals and Global Storm-Resolving Models, Journal of Hydrometeorology, 17, 1425-1445, doi: 10.1175/JHM-D-15-0111.1.

Ogrosky, H. R., and S. N. Stechmann (2016), Identifying convectively coupled equatorial waves using theoretical wave eigenvectors, Monthly Weather Review,144, 2235-2264. doi: 10.1175/MWR-D-15-0292.1.

Teubler, F., and M. Riemer (2016), Dynamics of Rossby Wave Packets in a Quantitative Potential Vorticity–Potential Temperature Framework, Journal of the Atmospheric Sciences, 73(3), 1063-1081, doi: 10.1175/JAS-D-15-0162.1.

Vincent, C. L., and T. P. Lane (2016), Evolution of the diurnal precipitation cycle with the passage of a Madden-Julian Oscillation event through the Maritime Continent, Monthly Weather Review, 144, 1983-2005, doi: 10.1175/MWR-D-15-0326.1.

Yano, J-I., and M. W. Moncrieff (2016), Numerical archetypal parameterization for mesoscale convective systems. J. Atmos. Sci., 73, 2585-2602, doi: 10.1175/JAS-D-0207.1.

Zhao, H., X. Jiang, and L. Wu (2016), Boreal Summer Synoptic-Scale Waves over the Western North Pacific in Multi-model Simulations, Journal of Climate, 29, 4487-4508, doi: 10.1175/JCLI-D-15-0696.1.


Bi, M., T. Li, X. Shen, and M. Peng (2015), To what extent the presence of real-strength tropical cyclones influences the estimation of atmospheric intraseasonal oscillation intensity?, Atmospheric Science Letters, 16, 438-444, doi: http://dx.doi.org/10.1002/asl.579.

Cavanaugh, N., T. Allen, A. Subramanian, B. Mapes, H. Seo, and A. Miller (2015), The skill of atmospheric linear inverse models in hindcasting the Madden–Julian Oscillation, Climate Dynamics, 44(3-4), 897-906, doi: http://dx.doi.org/10.1007/s00382-014-2181-x.

Christensen, H. M., I. M. Moroz, and T. N. Palmer (2015), Stochastic and perturbed parameter representations of model uncertainty in convection parameterization*, Journal of the Atmospheric Sciences, 72(6), 2525–2544, doi: http://dx.doi.org/10.1175/JAS-D-14-0250.1.

Del Genio, A. D., J. Wu, A. B. Wolf, Y. Chen, M.-S. Yao, and D. Kim (2015), Constraints on Cumulus Parameterization from Simulations of Observed MJO Events, Journal of Climate, 28, 6419-6442, doi: http://dx.doi.org/10.1175/JCLI-D-14-00832.1.

Eguchi, N., K. Kodera, and T. Nasuno (2015), A global non-hydrostatic model study of a downward coupling through the tropical tropopause layer during a stratospheric sudden warming, Atmos.Chem.Phys., 15(1), 297-304, doi: http://dx.doi.org/10.5194/acp-15-297-2015.

Evans, B., et al. (2015), The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections, in Environmental Software Systems. Infrastructures, Services and Applications, edited by R. Denzer, R. Argent, G. Schimak and J. Hřebíček, pp. 569-577, Springer International Publishing, doi: http://dx.doi.org/10.1007/978-3-319-15994-2_58.

Holloway, C. E., S. J. Woolnough, and G. M. S. Lister (2015), The effects of explicit versus parameterized convection on the MJO in a large-domain high-resolution tropical case tudy. Part II: Processes leading to differences in MJO development, Journal of the Atmospheric Sciences, 72, 2719-2743, doi: http://dx.doi.org/10.1175/JAS-D-14-0308.1.

Jiang, X., et al. (2015), Vertical structure and physical processes of the Madden-Julian Oscillation: Exploring key model physics in climate simulations, Journal of Geophysical Research-Atmospheres, 120, 4718-4748, doi: http://dx.doi.org/10.1002/2014JD022375.

Klingaman, N. P., X. Jiang, P. K. Xavier, J. Petch, D. Waliser, and S. J. Woolnough (2015), Vertical structure and physical processes of the Madden-Julian Oscillation: Synthesis and summary, Journal of Geophysical Research-Atmospheres, 120, doi: 10.1002/2015JD023196.

Klingaman, N. P., et al. (2015), Vertical structure and physical processes of the Madden-Julian Oscillation: Linking hindcast fidelity to simulated diabatic heating and moistening, Journal of Geophysical Research-Atmospheres, doi: http://dx.doi.org/10.1002/2014JD022374.

Lee, S.-S., B. Wang, D. Waliser, J. Neena, and J.-Y. Lee (2015), Predictability and prediction skill of the boreal summer intraseasonal oscillation in the Intraseasonal Variability Hindcast Experiment, Climate Dynamics, doi: http://dx.doi.org/10.1007/s00382-014-2461-5.

Luo, Q., and W.-w. Tung (2015), Case study of moisture and heat budgets within atmospheric rivers, Monthly Weather Review, 143, 4145-4152, doi: http://dx.doi.org/10.1175/MWR-D-15-0006.1.

Ma, P.L., P. J. Rasch, M. Wang, H. Wang, S. J. Ghan, R. C. Easter, W. I. Gustafson, X. Liu, Y. Zhang, and H.-Y. Ma (2015), How does increasing horizontal resolution in a global climate model improve the simulation of aerosol-cloud interactions?, Geophysical Research Letters; 2015GL064183, doi: http://dx.doi.org/10.1002/2015GL064183.

Moncrieff, M.W., and D.E. Waliser (2015), Organized convection and the YOTC project, Chapter 15: Seamless Prediction of the Earth-System: From Minutes to Months, (G. Brunet, S Jones, P.M. Ruti Eds.), WMO-No. 1156, ISBN 978-92-63-11156-2, Geneva, Switzerland, http://library.wmo.int/pmb_ged/wmo_1156_en.pdf.

Ogrosky, H. R., and S. N. Stechmann (2015), The MJO skeleton model with observation-based background state and forcing, Q.J.R.Meteorol.Soc., doi: http://dx.doi.org/10.1002/qj.2552.

Oh, J.H., X. Jiang, D. E. Waliser, M. W. Moncrieff, and R. H. Johnson (2015), Convective Momentum Transport Associated with the Madden-Julian Oscillation Based on a Reanalysis Dataset, Journal of Climate, 72, 5763-5782, doi: http://dx.doi.org/10.1175/JCLI-D-14-00570.1.

Oh, J-H, Xianan Jiang, Duane E. Waliser, Mitchell W. Moncrieff, Richard H. Johnson, and Paul Ciesielski (2015), A Momentum Budget Analysis of Westerly Wind Events Associated with the Madden–Julian Oscillation during DYNAMO. J. Atmos. Sci., 72, 3780–3799, doi: http://dx.doi.org/10.1175/JAS-D-15-0044.1,

Papritz, L., and T. Spengler (2015), Analysis of the slope of isentropic surfaces and its tendencies over the North Atlantic, Q.J.R.Meteorol.Soc., doi: http://dx.doi.org/10.1002/qj.2605.

Penny, A. B., P. A. Harr, and M. M. Bell (2015), Observations of a non-developing tropical disturbance in the western North Pacific during TCS-08 (2008), Monthly Weather Review, 143, 2459-2484, doi: http://dx.doi.org/10.1175/MWR-D-14-00163.1.

Seiki, T., C. Kodama, M. Satoh, T. Hashino, Y. Hagihara, and H. Okamoto (2015), Vertical grid spacing necessary for simulating tropical cirrus clouds with a high-resolution atmospheric general circulation model, Geophysical Research Letters, doi: http://dx.doi.org/10.1002/2015GL064282.

Ulate, M., C. Zhang, and J. Dudhia (2015), Role of water vapor and convection-circulation decoupling in MJO simulations by a tropical channel model, J. Adv. Model. Earth Syst., doi: http://dx.doi.org/10.1002/2014MS000393.

Wang, C.C., H. C. Kuo, R. H. Johnson, C.-Y. Lee, S.-Y. Huang, and Y. H. Chen (2015), A numerical study of convection in rainbands of Typhoon Morakot (2009) with extreme rainfall: roles of pressure perturbations with low-level wind maxima, Atmospheric Chemistry and Physics Discussions, 15, 8479-8523, doi: http://dx.doi.org/10.5194/acpd-15-8479-2015.

Wang, C.C., B.-X. Lin, C.-T. Chen, and S.-H. Lo (2015), Quantifying the Effects of Long-term Climate Change on Tropical Cyclone Rainfall using A Cloud-Resolving Model: Examples of Two Landfall Typhoons in Taiwan, Journal of Climate, 28(1), 66-85, doi: http://dx.doi.org/10.1175/JCLI-D-14-00044.1.

Wyant, M. C., et al. (2015), Global and regional modeling of clouds and aerosols in the marine boundary layer during VOCALS: the VOCA intercomparison, Atmos.Chem.Phys., 15(1), 53-172, doi: http://dx.doi.org/10.5194/acp-15-153-2015.

Xavier, P. K., et al. (2015), Vertical structure and diabatic processes of the Madden-Julian Oscillation: Biases and uncertainties at short range, Journal of Geophysical Research-Atmospheres, 120, 4671-4689, doi: http://dx.doi.org/10.1002/2014JD022718.


Barton, N. P., S. A. Klein, and J. S. Boyle (2014), On the Contribution of Longwave Radiation to Global Climate Model Biases in Arctic Lower Tropospheric Stability, Journal of Climate, 27, 7250–7269, doi: http://dx.doi.org/10.1175/JCLI-D-14-00126.1.

Boos, W. R., J. V. Hurley, and V. S. Murthy (2014), Adiabatic westward drift of Indian monsoon depressions, Q.J.R.Meteorol.Soc., doi: http://dx.doi.org/10.1002/qj.2454.

de Boer, G., M. D. Shupe, P. M. Caldwell, S. E. Bauer, P. O. G. Persson, J. S. Boyle, M. Kelley, S. A. Klein, and M. Tjernström (2014), Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models, Atmos.Chem.Phys., 14, 427-445, doi: http://dx.doi.org/10.5194/acp-14-427-2014.

Fermepin, S., and S. Bony (2014), Influence of low-cloud radiative effects on tropical circulation and precipitation, J. Adv. Model. Earth Syst., 6(3), 513-526, doi: http://dx.doi.org/10.1002/2013MS000288.

Grant, L. D., and S. C. van den Heever (2014), Aerosol-cloud-land surface interactions within tropical sea breeze convection, Journal of Geophysical Research-Atmospheres, 119(13), 8340–8361, doi: http://dx.doi.org/10.1002/2014JD021912.

Hogan, E., A. Shelly, and P. Xavier (2014), The observed and modelled influence of the Madden–Julian Oscillation on East African rainfall, Meteorol.Appl., doi: http://dx.doi.org/10.1002/met.1475.

Kiladis, G. N., J. Dias, K. H. Straub, M. C. Wheeler, S. N. Tulich, K. Kikuchi, K. M. Weickmann, and M. J. Ventrice (2014), A comparison of OLR and circulation based indices for tracking the MJO, Mon. Wea. Rev., 142, 2491-2505, doi:http://dx.doi.org/10.1175/MWR-D-13-00301.1.

Klingaman, N. P., and S. J. Woolnough (2014), Using a case-study approach to improve the Madden-Julian Oscillation in the Hadley Centre model, Q.J.R.Meteorol.Soc., 140, 2491–2505, doi: http://dx.doi.org/10.1002/qj.2314.

Ma, H. Y., et al. (2014), On the correspondence between mean forecast errors and climate errors in CMIP5 models, Journal of Climate, 27(4), 1781-1798, doi: http://dx.doi.org/10.1175/JCLI-D-13-00474.1.

Maheskumar, R. S., S. G. Narkhedkar, S. B. Morwal, B. Padmakumari, D. R. Kothawale, R. R. Joshi, C. G. Deshpande, R. V. Bhalwankar, and J. R. Kulkarni (2014), Mechanism of high rainfall over the Indian west coast region during the monsoon season, Climate Dynamics, 43(5-6), 1513-1529, doi: http://dx.doi.org/10.1007/s00382-013-1972-9.

Park, M.-S., H.-S. Kim, C.-H. Ho, R. L. Elsberry, and M.-I. Lee (2014), Tropical Cyclone Mekkhala (2008) Formation over the South China Sea: Mesoscale, Synoptic-scale and Large-scale Contributions, Monthly Weather Review, 143, 88-110, doi: http://dx.doi.org/10.1175/MWR-D-14-00119.1.

Riemer, M., M. Baumgart, and S. Eiermann (2014), Cyclogenesis downstream of extratropical transition analyzed by Q-vector partitioning based on flow geometry, Journal of the Atmospheric Sciences, 71, 4204–4220, doi: http://dx.doi.org/10.1175/JAS-D-14-0023.1.

Shelly, A., P. Xavier, D. Copsey, T. Johns, J. M. Rodríguez, S. Milton, and N. Klingaman (2014), Coupled versus uncoupled hindcast simulations of the Madden-Julian Oscillation in the Year of Tropical Convection, Geophysical Research Letters, 41(15), 5670-5677, doi: http://dx.doi.org/10.1002/2013GL059062.

Tu, C.C., Y.L. Chen, C.-S. Chen, P.-L. Lin, and P.-H. Lin (2014), A comparison of two heavy rainfall events during the Terrain-influenced Monsoon Rainfall Experiment (TiMREX) 2008, Monthly Weather Review, 142, 2436–2463, doi: http://dx.doi.org/10.1175/MWR-D-13-00293.1.

Ulate, M., J. Dudhia, and C. Zhang (2014), Sensitivity of the water cycle over the Indian Ocean and Maritime Continent to parameterized physics in a regional model, J. Adv. Model. Earth Syst., 6(4), 1095-1120, doi: http://dx.doi.org/10.1002/2014MS000313.

Wood, R., et al. (2014), Clouds, Aerosols, and Precipitation in the Marine Boundary Layer: An Arm Mobile Facility Deployment, Bulletin of the American Meteorological Society, 96(3), 419-440, doi: http://dx.doi.org/10.1175/BAMS-D-13-00180.1.

Zhu, Z., T. Li, P.C. Hsu, and J. He (2014), A spatial–temporal projection model for extended- range forecast in the tropics, Climate Dynamics, Online First Articles doi: http://dx.doi.org/10.1007/s00382-014-2353-8.


Beattie, J. C. and R. L. Elsberry (2013), Horizontal Structure of Monsoon Depressions in the Western North Pacific at Formation Time, Geophys. Res. Lett., 40(5), 983-987, doi:http://dx.doi.org/10.1002/grl.50198.

Bony, S., G. Bellon, D. Klocke, S. Sherwood, S. Fermepin, and S. Denvil (2013), Robust direct effect of carbon dioxide on tropical circulation and regional precipitation, Nature Geosci, 6(6), 447-451, doi:http://dx.doi.org/10.1038/ngeo1799.

Bourassa, M. A., S. T. Gille, C. Bitz, D. Carlson, I. Cerovecki, C. A. Clayson, M. F. Cronin, W. M. Drennan, C. W. Fairall, R. N. Hoffman, G. Magnusdottir, R. T. Pinker, I. A. Renfrew, M. Serreze, K. Speer, L. D. Talley, and G. A. Wick (2013), High-Latitude Ocean and Sea Ice Surface Fluxes: Challenges for Climate Research, Bull. Amer. Meteor. Soc., 94(3), 403-423, doi:http://dx.doi.org/10.1175/BAMS-D-11-00244.1.

Chang, E. K. M., M. Peña, and Z. Toth (2013), International Research Collaboration in High Impact Weather Prediction, Bull. Amer. Meteor. Soc., 94(11), ES149-ES151, doi:http://dx.doi.org/10.1175/BAMS-D-13-00057.1.

Davis, C. A., S. C. Jones, D. Anwender, J. Badey, and L. Scheck (2013), Mesoscale cyclogenesis over the western North Pacific Ocean during TPARC, Tellus Series A-Dynamic Meteorology and Oceanography, 65, 18621, doi:http://dx.doi.org/10.3402/tellusa.v65i0.18621.

Davis, J., P. Knippertz, and A. H. Fink (2013), The predictability of precipitation episodes during the West African dry season, Q. J. R. Meteorol. Soc., 139(673), 1047-1058, doi:http://dx.doi.org/10.1002/qj.2014.

De, S. and A. K. Sahai (2013), Predictability of Indian Monsoon Circulation with High Resolution ECMWF Model in the Perspective of Tropical Forecast During the Tropical Convection Year 2008, Pure Appl. Geophys., 1-18, doi:http://dx.doi.org/10.1007/s00024-013-0642-5.

Fu, X., J. Lee, B. Wang, W. Wang, and F. Vitart (2013), Intraseasonal Forecasting of Asian Summer Monsoon in Four Operational and Research Models, J. Climate, 26(12), 4186-4203, doi:http://dx.doi.org/10.1175/JCLI-D-12-00252.1.

Harikumar, R., T. M. Balakrishnan Nair, G. S. Bhat, S. Nayak, V. S. Reddem, and S. S. C. Shenoi (2013), Ship-mounted real-time surface observational system on board Indian Vessels for validation and refinement of model forcing fields, J. Atmos. Oceanic Technol., 30(3), 626-637, doi:http://dx.doi.org/10.1175/JTECH-D-11-00212.1.

Hashino, T., M. Satoh, Y. Hagihara, T. Kubota, T. Matsui, T. Nasuno, and H. Okamoto (2013), Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO, J. Geophys. Res. Atmos., 118(13), 7273-7292, doi:http://dx.doi.org/10.1002/jgrd.50564.

Hirons, L. C., P. Inness, F. Vitart, and P. Bechtold (2013), Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part I: The representation of the MJO, Q. J. R. Meteorol. Soc., 139(675), 1417-1426, doi:http://dx.doi.org/10.1002/qj.2060.

Hirons, L. C., P. Inness, F. Vitart, and P. Bechtold (2013), Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part II: The application of process-based diagnostics, Q. J. R. Meteorol. Soc., 139(675), 1427-1444, doi:http://dx.doi.org/10.1002/qj.2059.

Holloway, C. E., S. J. Woolnough, and G. M. S. Lister (2013), The effects of explicit versus parameterized convection on the MJO in a large-domain high-resolution tropical case study. Part I: Characterization of large-scale organization and propagation, J. Atmos. Sci., 70(5), 1342-1369, doi:http://dx.doi.org/10.1175/JAS-D-12-0227.1.

Kumar, A., A. K. Mitra, A. K. Bohra, G. R. Iyengar, and V. R. Durai (2013), Multi-model ensemble (MME) prediction of rainfall using neural networks during monsoon season in India, MAUSAM, 64(2), 211-220, doi:http://metnet.imd.gov.in/mausamdocs/16421_F.pdf.

Li, J., R. Swinbank, R. Ding, and W. Duan (2013), Dynamics and Predictability of High-Impact Weather and Climate Events, Bull. Amer. Meteor. Soc., 94(12), ES179-ES182, doi:http://dx.doi.org/10.1175/BAMS-D-12-00213.1.

Manoj, M. G., P. C. S. Devara, and S. Taraphdar (2013), Lidar investigation of tropical nocturnal boundary layer aerosols and cloud macrophysics, Atmos. Res., 132–133(0), 65-75, doi:http://dx.doi.org/10.1016/j.atmosres.2013.05.007.

Masarik, M. T. and W. H. Schubert (2013), Analytical solutions of the potential vorticity invertibility principle, J. Adv. Model. Earth Syst., 5(2), 366-381, doi:http://dx.doi.org/10.1002/jame.20011.

Ruppert, J. H., R. H. Johnson, and A. K. Rowe (2013), Diurnal Circulations and Rainfall in Taiwan during SoWMEX/TiMREX (2008), Mon. Wea. Rev., 141(11), 3851-3872, doi:http://dx.doi.org/10.1175/MWR-D-12-00301.1.

Ryoo, J., Y. Kaspi, D. W. Waugh, G. N. Kiladis, D. E. Waliser, E. J. Fetzer, and J. Kim (2013), Impact of Rossby wave breaking on U.S. west coast winter precipitation during ENSO events, J. Climate, 26(17), 6360-6382, doi:http://dx.doi.org/10.1175/JCLI-D-12-00297.1.

Wang, C., H. Kuo, T. Yeh, C. Chung, Y. Chen, S. Huang, Y. Wang, and C. Liu (2013), High-resolution Quantitative Precipitation Forecasts and Simulations by the Cloud-Resolving Storm Simulator (CReSS) for Typhoon Morakot (2009), Journal of Hydrology, 506, 26-41, doi:http://dx.doi.org/10.1016/j.jhydrol.2013.02.018.

Wang, C. and B. Lin (2013), Effects of Long-term Climate Change on A Rainy Typhoon near Taiwan, Focus, 3(3), doi:http://www.apectyphoon.org/sdt175/img/img/3863/Newsletter_September_2013/3._Focus__Wang.pdf.

Wheeler, M., E. Maloney, and MJO Task Force (2013), Madden-Julian Oscillation (MJO) Task Force: a joint effort of the climate and weather communities, CLIVAR Exchanges(61), 9-12, doi:http://www.clivar.org/sites/default/files/Exchanges/Exchanges%2061.pdf.

Williams, K. D., A. Bodas-Salcedo, M. Déqué, S. Fermepin, B. Medeiros, M. Watanabe, C. Jakob, S. A. Klein, C. A. Senior, and D. L. Williamson (2013), The Transpose-AMIP II experiment and its application to the understanding of Southern Ocean cloud biases in climate models, J. Climate, 26(10), 3258-3274, doi:http://dx.doi.org/10.1175/JCLI-D-12-00429.1.

Xu, Y., T. Li, and M. Peng (2013), Tropical Cyclogenesis in the Western North Pacific as Revealed by the 2008-2009 YOTC data, Wea. Forecasting, 28(4), 1038-1056, doi:http://dx.doi.org/10.1175/WAF-D-12-00104.1.

Yoneyama, K., C. Zhang, and C. N. Long (2013), Tracking Pulses of the Madden-Julian Oscillation, Bull. Amer. Meteor. Soc., 94(12), 1871-1891, doi:http://dx.doi.org/10.1175/BAMS-D-12-00157.1.

Yu, C. and L. Cheng (2013), Distribution and Mechanisms of Orographic Precipitation Associated with Typhoon Morakot (2009), J. Atmos. Sci., 70(9), 2894-2915, doi:http://dx.doi.org/10.1175/JAS-D-12-0340.1 

Zhang, C. (2013), Madden-Julian Oscillation: Bridging Weather and Climate, Bull. Amer. Meteor. Soc., 94(12), 1849-1870, doi:http://dx.doi.org/10.1175/BAMS-D-12-00026.1.

Zhang, C., J. Gottschalck, E. D. Maloney, M. W. Moncrieff, F. Vitart, D. E. Waliser, B. Wang, and M. C. Wheeler (2013), Cracking the MJO nut, Geophys. Res. Lett., 40(6), 1223-1230, doi:http://dx.doi.org/10.1002/grl.50244


Barton, N. P., S. A. Klein, J. S. Boyle, and Y. Y. Zhang (2012), Arctic synoptic regimes: Comparing domain-wide Arctic cloud observations with CAM4 and CAM5 during similar dynamics, J. Geophys. Res. -Atmos., 117, D15205, doi:http://dx.doi.org/10.1029/2012JD017589.

Beattie, J. C. and R. L. Elsberry (2012), Western North Pacific Monsoon Depression Formation, Wea. Forecasting, 27(6), 1413-1432, doi:http://dx.doi.org/10.1175/WAF-D-11-00094.1.

Bennartz, R. and M. Schroeder (2012), Convective Activity over Africa and the Tropical Atlantic Inferred from 20 Years of Geostationary Meteosat Infrared Observations, J. Climate, 25(1), 156-169, doi:http://dx.doi.org/10.1175/2011JCLI3984.1.

Bosart, L. F., J. M. Cordeira, T. J. Galarneau, B. J. Moore, and H. M. Archambault (2012), An Analysis of Multiple Predecessor Rain Events ahead of Tropical Cyclones Ike and Lowell: 10–15 September 2008, Mon. Wea. Rev., 140(4), 1081-1107, doi:http://dx.doi.org/10.1175/MWR-D-11-00163.1.

Hande, L. B., S. T. Siems, M. J. Manton, and D. Belusic (2012), Observations of wind shear over the Southern Ocean, J. Geophys. Res. -Atmos., 117, D12206, doi:http://dx.doi.org/10.1029/2012JD017488.

Holloway, C. E., S. J. Woolnough, and G. M. S. Lister (2012), Precipitation distributions for explicit versus parametrized convection in a large-domain high-resolution tropical case study, Q. J. R. Meteorol. Soc., 138(668), 1692-1708, doi:http://dx.doi.org/10.1002/qj.1903.

Hsu, P. and T. Li (2012), Role of the Boundary Layer Moisture Asymmetry in Causing the Eastward Propagation of the Madden-Julian Oscillation*, J. Clim., 25(14), 4914-4931, doi:http://dx.doi.org/10.1175/JCLI-D-11-00310.1.

Jiang, C., S. T. Gille, J. Sprintall, K. Yoshimura, and M. Kanamitsu (2012), Spatial Variation in Turbulent Heat Fluxes in Drake Passage, J. Clim., 25(5), 1470-1488, doi:http://dx.doi.org/10.1175/2011JCLI4071.1.

Kamae, Y. and M. Watanabe (2012), Tropospheric adjustment to increasing CO2: its timescale and the role of land–sea contrast, Clim. Dyn., 1-18, doi:http://dx.doi.org/10.1007/s00382-012-1555-1.

Kubar, T. L., D. E. Waliser, J. Li, and X. Jiang (2012), On the Annual Cycle, Variability, and Correlations of Oceanic Low-Topped Clouds with Large-Scale Circulation Using Aqua MODIS and ERA-Interim, J. Clim., 25(18), 6152-6174, doi:http://dx.doi.org/10.1175/JCLI-D-11-00478.1.

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