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Papers from 2011-12 Field Campaign

  including relevant papers archived in the AMS and AGU Special Collections.


- 2024 -

  1. Shackelford, K., C. A. DeMott, P. J. van Leeuwen, M. R. Mazloff, and R. Sun, 2024: A cold lid on a warm ocean: Indian Ocean surface rain layers and their feedbacks to the atmosphere.　J. Geophys. Res. Atmos., 129, e2023JD039272. [abstract]

  2. Stanford, M. W., A. C. Varble, and H. Morrison, 2024: Evaluation of a stochastic mixing scheme in the deep convective gray zone using a tropical oceanic deep convection case study. J. Adv. Model. Earth Syst., 16, e2023MS003748. [abstract]

  3. Wolding, B., A. Rydbeck, J. Dias, F. Ahmed, M. Gehne, G. Kiladis, E. Y. M. Riley Dellaripa, X. Chen, and I. L. McCoy, 2024: Atmosphere-ocean coupled energy budgets of tropical convective discharge-recharge cycles. J. Atmos. Sci., 81, 3-29. [abstract]


- 2023 -

  1. Adames Corraliza, Á. F., and V. C. Mayta, 2023: On the accuracy of the moist static energy budget when applied to large-scale tropical motions. J. Atmos. Sci., 80, 2365-2376. [abstract]

  2. Dolan, B., S. M. Saleeby, S. A. Rutledge, S. C. van den Heever, and K. Van Valkenburg, 2023: A statistical framework for evaluating rain microphysics in model simulations and disdrometer observations. J. Geophys. Res. Atmos., 128, e2023JD038902. [abstract]

  3. Hagos, S., Z. Feng, S.-L. Tai, and J. Chen, 2023: Regional variability in the environmental controls of precipitation regimes in the tropics. J. Geophys. Res. Atmos., 128, e2023JD038927. [abstract]

  4. Johnson, R. H., P. E. Ciesielski, and W. H. Schubert, 2023: Hydrometeor storage and advection effects in DYNAMO budgets analyses. J. Atmos. Sci., 80, 181-188. [abstract]

  5. Johnson, R. H., S. P. de Szoeke, P. E. Ciesielski, and W. A. Brewer, 2023: The atmospheric boundary layer and the initiation of the MJO. J. Climate, 36, 7893-7903. [abstract]

  6. Najarian, H., and N. Sakaeda, 2023: The influence of cloud types on cloud‐radiative forcing during DYNAMO/AMIE. J. Geophys. Res. Atmos., 128, e2022JD038006. [abstract]

  7. Sakaeda, N., and G. Torri, 2023: The observed effects of cold pools on convection triggering and organization during DYNAMO/AMIE. J. Geophys. Res. Atmos., 128, e2023JD038635. [abstract]

  8. Shin, J., and J.-J. Baik, 2023: Optimization and evaluation of stochastic unified convection using single-column model simulations at multiple observation sites. J. Adv. Model. Earth Syst., 15, e2022MS003473. [abstract]

  9. Zhang, C., and J. A. Moore, 2023: A road map to success of international field campaigns in atmospheric and oceanic sciences. Bull. Amer. Mteor. Soc., 104, E257-E290. [abstract]

- 2022 -

  1. Cen, X. R., S. X. Guo, Y. Wang, and A. Q. Zhou, 2022: Similarity of the turbulent kinetic energy dissipation rate distribution in the upper mixed layer of the tropical Indian Ocean. Front. Mar. Sci., 9, 1035135. [abstract]

  2. Do. P.-N., K.-S. Chung, P.-L. Lin, C.-Y. Ke, and S. M. Ellis, 2022: Assimilating retrieved water vapor and radar data from NCAR S-PolKa: Performance and validation using real cases. Mon. Wea. Rev., 150, 1177-1199. [abstract]

  3. Hu, Q., Z. Han, and S. Wang, 2022: Cloud radiative effects on MJO development in DYNAMO. J. Climate, 35, 6969-6984. [abstract]

  4. Hu, Y., X. Wang, J.-J. Luo, D. Wang, H. Yan, C. Yuan, and X. Lin, 2022: Forecast of MJO during DYNAMO in a coupled tropical channel model. Part I: Impacts of paramererization schemes. Int. J. Climatol., 42, 6771-6792. [abstract]

  5. Ong, H., and D. Yang, 2022: The compressional beta effect and convective system propagation. J. Atmos. Sci., 79, 2031-2040. [abstract]

  6. Powell, S. W., 2022: Criticality in the shallow-to-deep transition of simulated tropical marine convection. J. Atmos. Sci., 79, 1805-1819. [abstract]

  7. Sakaeda, N., and G. Torri, 2022: The behaviors of intraseasonal cloud organization during DYNAMO/AMIE. J. Geophys. Res. Atmos., 127, e2021JD035749. [abstract]

  8. Santosh, M., 2022: Estimation of daytime planetary boundary layer height (PBLH) over the tropics and subtropics using COSMIC-2/FORMOSAT-7 GNSS-RO measurements. Atmos. Res., 279, 106361. [abstract]

  9. Santosh, M., 2022: Structure and development of the atmospheric boundary layer over a small island (Mahé Island, Seychelles) in the equatorial Indian Ocean. Meteorol. Atmos. Phys., 134, 91. [abstract]

  10. Savarin, A., and S. S. Chen, 2022a: Pathways to better prediction of the MJO: 1. Effects of model resolution and moist physics on atmospheric boundary layer and precipitation. J. Adv. Model. Earth Syst., 14, e2021MS002928. [abstract]

  11. Savarin, A., and S. S. Chen, 2022b: Pathways to better prediction of the MJO: 2. Impacts of atmosphere-ocean coupling on the upper ocean and MJO propagation. J. Adv. Model. Earth Syst., 14, e2021MS002928. [abstract]

  12. Shackelford, K., C. A. DeMott, P. J. van Leeuwen, E. Thompson, and S. Hagos, 2022: Rain-induced stratification of the equatorial Indian Ocean and its potential feedback to the atmosphere. J. Geophys. Res. Oceans, 127, e2021JC018025. [abstract]

  13. Snide, C. E., Á. F. Adames, S. W. Powell, and V. C. Mayta, 2022: The role of large-scale moistening by adiabatic lifting in the Madden-Julian oscillation convective onset. J. Climate, 35, 269-284. [abstract]

  14. Tao, W.-K., T. Iguchi, S. Lang, X. Li, K. Mohr, T. Matsui, S. C. van den Heever, and S. Braun, 2022: Relating vertical velocity and cloud/precipitation properties: A numerical ckoud ensemble modeling study of tropical convection. J. Adv. Model. Earth Syst., 14, e2021MS002677. [abstract]

  15. Tao, W.-K., S. Lang, T. Iguchi, and Y. Song, 2022: Goddard latent heating retrieval algorithm for TRMM and GPM. J. Meteor. Soc. Japan, 100, 293-320. [abstract]

  16. Thayer, J. D., and D. A. Hence, 2022: Transition of large-scale environmental conditions and characteristics of four rainfall types observed by S-PolKa during the MJO-1 active phase of DYNAMO/CINDY/AMIE. J. Geophys. Res. Atmos., 127, e2021JD036188. [abstract]

  17. Voldoire, A., R. Roehrig, H. Giordani, R. Waldman, Y. Zhang, S. Xie, and M.-N. Bouin, 2022: Assessment of the sea surface temperature diurnal cycle in CNRM-CM6-1 based on its 1D coupled configuration. Geosci. Model Dev., 15, 3347-3370. [abstract]

  18. Wang, S., and A. H. Sobel, 2022: A unified moisture mode theory for the Madden-Julian oscillation and the boreal summer intraseasonal oscillation. J. Climate, 35, 1267-1291. [abstract]

- 2021 -

  1. Adames, Á. F., S. W. Powell, F. Ahmed, V. C. Mayta, and J. D. Neelin, 2021: Tropical precipitation evolution in a buoyancy-budget framework. J. Atmos. Sci., 78, 509-528. [abstract]

  2. Brilouet, P.-E., J.-L. Redelsperger, M.-N. Bouin, F. Couvreux, and C. L. Brossier, 2021: A case study of the coupled ocean-atmosphere response to an oceanic diurnal warm layer. Quart. J. Roy. Meteor. Soc., 147, 2008-2032. [abstract]

  3. Chi, N.-H., R.-C. Lien, and E. A. D'Asaro, 2021: The mixed layer salinity budget in the central equatorial Indian Ocean. J. Geophys. Res. Oceans, 126, e2021JC017280. [abstract]

  4. Ciesielski, P. E., and R. H. Johnson, 2021: Small island effects in DYNAMO and their impact on large-scale budget analyses. J. Appl. Meteor. Climatol., 60, 577-594. [abstract]

  5. Ciesielski, P. E., R. H. Johnson, S. Tang, Y. Zhang, and S. Xie, 2021: Comparison of conventional and constrained variational methods for computing large-scale budgets and forcing fields. J. Geophys. Res. Atmos., 126, e2021JD035183. [abstract]

  6. de Szoeke, S. P., T. Marke, and A. Brewer, 2021: Diurnal ocean surface warming drives convective turbulence and clouds in the atmosphere. Geophys. Res. Lett., 44, e2020GL091299. [abstract]

  7. Itterly, K., P. Taylor, and J. B. Roberts, 2021: Satellite perspectives of sea surface temperature diurnal warming on atmospheric moistening and radiative heating during MJO. J. Climate, 34, 1203-1226. [abstract]

  8. Moulin, A. J., J. N. Moum, E. L. Shroyer, and M. Hoecker-Martinez, 2021: Freshwater lens fronts propagating as buoyant gravity currents in the equatorial Indian Ocean. J. Geophys. Res. Oceans, 126, e2021JC017186. [abstract]

  9. Peters, J. M., H. Morrison, G. J. Zhang, and S. W. Powell, 2021: Improving the physical basis for updraft dynamics in deep convection parameterizations. J. Adv. Model. Earth Syst., 13, e2020MS002282. [abstract]

  10. Rocque, M. N., and S. A. Rutledge, 2021: Diurnal cycle of precipitation features observed during DYNAMO. J. Atmos. Sci., 78, 2287-2306. [abstract]

  11. Roy, K., P. Mukhopadhyay, R. P. M. Krishna, B. Khouider, and B. B. Goswami, 2021: Evaluation of mean state in NCEP Climate Forecast System (version 2) simulation using a stochastic multicloud model calibrated with DYNAMO Radar data. Earth Space Sci., 8, e2020EA001455. [abstract]

  12. Shinoda, T., S. Pei, W. Wang, J. X. Fu, R.-C. Lien, H. Seo, and A. Soloviev, 2021: Climate Process Team: improvement of ocean component of NOAA Climate Forecast System relevant to Madden-Julian oscillation simulations. J. Adv. Model. Earth Syst., 13, e2021MS002658. [abstract]

  13. Takasuka, D., T. Kohyama, H. Miura, and T. Suematsu, 2021: MJO initiation triggered by amplification of upper-tropospheric dry mixed Rossby-gravity waves. Geophys. Res. Lett., 48, e2021GL094239. [abstract]

  14. Tamasiunas, M. C. N., T. Shinoda, R. D. Susanto, L. Zamudio, and E. J. Metzger, 2021: Intraseasonal variability of the Indonesian throughflow associated with the Madden-Julian oscillation. Deep Sea Res. II, 193, [abstract]

- 2020 -

  1. Chan, M.-Y., F. Zhang, X. Chen, and L. R. Leung, 2020: Potential impacts of assimilating all-sky satellite infrared radiances on convection-permitting analysis and prediction of tropical convection. Mon. Wea. Rev., 148, 3203-3224. [abstract]

  2. Cheng, W.‐Y., D. Kim, A. Rowe, Y. Moon, and S. Wang, 2020: Mechanisms of convective clustering during a 2-day rain event in AMIE/DYNAMO. J. Adv. Model. Earth Syst., 12, e2019MS001907. [abstract]

  3. de Szoeke, S. P., and E. D. Maloney, 2020: Atmospheric mixed layer convergence from observed MJO sea surface temperature anomalies. J. Climate, 33, 547-558. [abstract]

  4. Jensen, E. J., L. L. Pan, S. Honomichl, G. S. Diskin, M. Kramer, N. Spelten, G. Gunther, D. F. Hurst, M. Fujiwara, H. Vomel, H. B. Selkirk, J. Suzuki, M. J. Schwartz, and J. B. Smith, 2020: Assessment of observational evidence for direct convective hydration of the lower stratosphere. J. Geophys. Res. Atmos., 125, e2020JD032793. [abstract]

  5. Pei, S., T. Shinoda, W. Wang, and R.‐C. Lien, 2020: Simulation of deep cycle turbulence by a global ocean general circulation model. Geophys. Res. Lett., 47, e2020GL088384. [abstract]

  6. Shell, K. M., S. P. de Szoeke, M. Makiyama, and Z. Feng, 2020: Vertical structure of radiative heating rates of the MJO during DYNAMO. J. Climate, 33, 5317-5335. [abstract]

  7. Wang, S., 2020:A precipitation-based index for tropical intraseasonal oscillations. J. Climate, 33, 805-823. [abstract]

- 2019 -

  1. Cardoso-Bihlo, E., B. Khouider, C. Schumacher, and M. De La Chevrotiére, 2019: Using radar data to calibrate a stochastic parametrization of organized convection. J. Adv. Model. Earth Syst., 11, 1655-1684. [abstract]

  2. Chen, X., and F. Zhang, 2019: Relative roles of preconditioning moistening and global circumnavigating mode on the MJO convective initiation during DYNAMO. Geophys. Res. Lett., 46, 1079-1087. [abstract]

  3. Dey, A., R. Chattopadhyay, A. K. Sahai, R. Mandal, S. Joseph, R. Phani, and S. Abhilash, 2019: An operational tracking method for the MJO using extended empirical orthogonal functions. Pure Appl. Geophys., 176, 2697-2717. [abstract]

  4. Komaromi, W. A., X. Hong, M. A. Janiga, C. A. Reynolds, J. A. Ridout, and J. D. Doyle, 2019: Examining the predictability of the successive MJO events of November 2011 using coupled 30-day NAVGEM and COAMPS simulations. Mon. Wea. Rev., 147, 2123-2143. [abstract]

  5. Kumjian, M. R., C. P. Martinkus, O. P. Prat, S. Collis, M. van Lier-Walqui, and H. C. Morrison, 2019: A moment-based polarimetric radar forward operator for rain microphysics. J. Appl. Meteor. Climatol., 58, 113-130. [abstract]

  6. Kuznetsova, D., T. Dauhut, and J.-P. Chaboureau, 2019: The three atmospheric circulations over the Indian Ocean and the Maritime Continent and their modulation by the passage of the MJO. J. Atmos. Sci., 76, 517-531. [abstract]

  7. Liu, Y., Z.-M. Tan, and Z. Wu, 2019: Non-instantaneous wave-CISK for the interaction between Convective heating and low-level moisture. J. Atmos. Sci., 76, 2083-2101. [abstract]

  8. Mapes, B. E., A. S. Chandra, Z. Kuang, S. Song, and P. Zuidema, 2019: Estimating convection’s moisture sensitivity: an observation-model synthesis using AMIE-DYNAMO field data. J. Atmos. Sci., 76, 1505-1520. [abstract]

  9. Martin, Z., S. Wang, J. Nie, and A. Sobel, 2019: The impact of the QBO on MJO convection in cloud-resolving simulations. J. Atmos. Sci., 76, 669-688. [abstract]

  10. Miyakawa, T., and H. Miura, 2019: Resolution dependencies of tropical convection in a global cloud/cloud-system resolving model. J. Meteor. Soc. Japan, 97, 745-756. [abstract]

  11. Morrison, H. M. R. Kumjian, C. P. Martinkus, O. P. Prat, and M. van Lier-Walqui, 2019: A general N-moment normalization method for deriving raindrop size distribution scaling relationships. J. Appl. Meteor. Climatol., 58, 247-267. [abstract]

  12. Powell, S. W., 2019: Observing possible thermodynamic controls on tropical marine rainfall in moist environments. J. Atmos. Sci., 76, 3737-3751. [abstract]

  13. Rowe, A. K., R. A. Houze Jr., S. Brodzik, and M. D. Zuluaga, 2019: The diurnal and microphysical characteristics of MJO rain events during DYNAMO. J. Atmos. Sci., 76, 1975-1988. [abstract]

  14. Ruppert, J. H., Jr., and F. Zhang, 2019: Diurnal forcing and phase locking of gravity waves in the Maritime Continent. J. Atmos. Sci., 76, 2815-2835. [abstract]

  15. Sessions, S. L., S. Sentić, and D. Raymond, 2019: Balanced dynamics and moisture quasi-equilibrium in DYNAMO convection. J. Atmos. Sci., 76, 2781-2799. [abstract]

  16. Soares, S. M., K. J. Richards, F. O. Bryan, and K. Yoneyama, 2019: On the seasonal cycle of the tropical south Indian Ocean. Part I: Mixed layer heat and salt budgets. J. Climate, 32, 1951-1972. [abstract]

  17. Sueki, K., T. Yamaura, H. Yashiro, S. Nishizawa, R. Yoshida, Y. Kajikawa, and H. Tomita, 2019: Convergence of convective updraft ensembles with respect to the grid spacing of atmospheric models. Geophys. Res. Lett., 46, 14817-14825. [abstract]

  18. Takasuka, D., M. Satoh, and S. Yokoi, 2019: Observational evidence of Mixed Rossby-gravity waves as a driving force for the MJO convective initiation and propagation. Geophys. Res. Lett., 46, 5546-5555. [abstract]

  19. Tao, W.-K., T. Iguchi, and S. Lang. 2019: Expanding the Goddard CSH algorithm for GPM: New extratropical retrievals. J. App. Meteor. Climatol., 58, 921-946. [abstract]

  20. Thompson, E. J., J. N. Moum, C. W. Fairall, and S. A. Rutledge, 2019: Wind limits on rain layers and diurnal warm layers. J. Geophys. Res. Oceans, 124, 897-924. [abstract]

  21. Uma, K. N., and S. K. Das, 2019: Do the stability indices indicate the formation of deep convection? Meteorol. Atmos. Phys., 131, 1-10. [abstract]

  22. Wang, S., A. H. Sobel, M. K. Tippett, and F. Vitart, 2019: Prediction and predictability of tropical intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier. Clim. Dyn., 52, 6015-6031. [abstract]

  23. Zelinsky, R. C., C. Zhang, and C. Liu, 2019: The relationship between the ITCZ and MJO Initiation over the Indian Ocean. J. Atmos. Sci., 76, 2275-2294. [abstract]

- 2018 -

  1. Abdel-Lathif, A. Y., R. Roehrig, I. Beau, and H. Douvill, 2018: Single-column modeling of convection during the CINDY2011/DYNAMO field campaign with the CNRM climate model version 6. J. Adv. Model. Earth Syst., 10, 578-602. [abstract]

  2. Ahmed, F., and C. Schumacher, 2018: Spectral signatures of moisture-convection feedback over the Indian Ocean. J. Amots. Sci., 75, 1995-2015. [abstract]

  3. Chandra, A. S., P. Zuidema, S. Krueger, A. Kochanski, S. P. de Szoeke, and, J. Zhang, 2018: Moisture distributions in tropical cold pools from equatorial Indian Ocean observations and cloud-resolving simulations. J. Geophys. Res. Atmos., 123, 14445-14465. [abstract]

  4. Chen, X., O. M. Pauluis, and F. Zhang, 2018: Atmospheric overturning across multiple scales of an MJO event during the CINDY/DYNAMO campaign. J. Atmos. Sci., 75, 381-399. [abstract]

  5. Cheng, W.-Y., D. Kim, and A. Rowe, 2018: Objective quantification of convective clustering observed during the AMIE/DYNAMO two-day rain episodes. J. Geophys. Res. Atmos., 123, 10361-10378. [abstract]

  6. Ciesielski, P. E., R. H. Johnson, W. H. Schubert, and J. H. Ruppert, Jr., 2018: Diurnal cycle of the ITCZ in DYNAMO. J. Climate, 31, 4543-4562. [abstract]

  7. de Szoeke, S. P., 2018: Variations of the moist static energy budget of the tropical Indian Ocean atmospheric boundary layer. J. Atmos. Sci., 75, 1545-1551. [abstract]

  8. Dolan, B., B. Fuchs, S. A. Rutledge, E. A. Barnes, and E. J. Thompson, 2018: Primary modes of global drop size distributions. J. Atmos. Sci., 75, 1453-1476. [abstract]

  9. Hagos, S., L. R. Leung, C. Zhao, Z. Feng, and K. Sakaguchi, 2018: How do microphysical processes influence large-scale precipitation variability and extremes? Geophys. Res. Lett., 45, 1661-1667. [abstract]

  10. Hoover, K. E., J. R. Mecikalski, T. J. Lang, X. Li, T. J. Castillo, and T. Chronis, 2018: Use of an end-to-end-simulator to analyze CYGNSS. J. Atmos. Oceanic Technol., 35, 35-55. [abstract]

  11. Kadoya, T., and H. Masunaga, 2018: New observational metrics of convective self-aggregation: Methodology and a case study. J. Meteor. Soc. Japan, 96, 535-548. [abstract]

  12. Kerns, B. W., and S. S. Chen, 2018a: Evaluation of satellite surface winds in relation to weather regimes over the Indian Ocean using DYNAMO observations. J. Geophys. Res. Atmos., 123, 8561-8580. [abstract]

  13. Kerns, B. W., and S. S. Chen, 2018b: Diurnal cycle of precipitation and cloud clusters in the MJO and ITCZ over the Indian Ocean. J. Geophys. Res. Atmos., 123, 10140-10161. [abstract]

  14. Kikuchi, K., G. N. Kiladis, J. Dias, and T. Nasuno, 2018: Convectively coupled equatorial waves within the MJO during CINDY/DYNAMO: Slow Kelvin waves as building blocks. Clim. Dyn., 50, 4211-4230. [abstract]

  15. Kim, H., F. Vitart, and D. E. Waliser, 2018: Prediction of the Madden-Julian oscillation: A review. J. Climate, 31, 9425-9443. [abstract]

  16. Kim, J.-E., C. Zhang, G. N. Kiladis, and P. Bechtold, 2018: Heating and moistening of the MJO during DYNAMO in ECMWF reforecasts. J. Atmos. Sci., 75, 1429-1452. [abstract]

  17. Li, X., M. A. Janiga, S. Wang, W.-K. Tao, A. Rowe, W. Xu, C. Liu, T. Matsui, and C. Zhang, 2018: Evolution of precipitation structure during the November DYNAMO MJO event: Cloud-resolving model intercomparison and cross validation using radar observations. J. Geophys. Res. Atmos., 123, 3530-3555. [abstract]

  18. Marzuki, H. Hashiguchi, M. Vonnisa, Harmadi, and M. Katsumata, 2018: Determination of intraseasonal variation of precipitation microphysics in the southern Indian Ocean from Joss-Waldvogel disdrometer observation during the CINDY field campaign. Adv. Atmos. Sci., 35, 1415-1427. [abstract]

  19. Miyakawa, T., and K. Kikuchi, 2018: CINDY2011/DYNAMO Madden-Julian oscillation successfully reproduced in global cloud/cloud-system resolving simulations despite weak tropical wavelet power. Sci. Rep., 8, 11664. [article]

  20. Moulin, A. J., J. N. Moum, and E. L. Shroyer, 2018: Evolution of turbulence in the diurnal warm layer. J. Phys. Oceanogr., 48, 383-396. [abstract]

  21. Pei, S., T. Shinoda, A. Soloviev, and R.-C. Lien, 2018: Upper ocean response to the atmospheric cold pools associated with the Madden-Julian oscillation. Geophys. Res. Lett., 45, 5020-5029. [abstract]

  22. Pujiana, K., J. N. Moum, and W. D. Smyth, 2018: The role of turbulence in redistributing upper ocean heat, freshwater and momentum in response to the MJO in the equatorial Indian Ocean. J. Phys. Oceanogr., 48, 197-220. [abstract]

  23. Riley Dellaripa, E., E. Maloney, and S. C. van den Heever, 2018: Wind-flux feedbacks and convective organization during the November 2011 MJO event in a high resolution model. J. Atmos. Sci., 75, 57-84. [abstract]

  24. Sakaeda, N., S. W. Powell, J. Dias, and G. N. Kiladis, 2018: The diurnal variability of precipitating cloud populations during DYNAMO. J. Atmos. Sci., 75, 1307-1326. [abstract]

  25. Thompson, E. J., S. A. Rutledge, B. Dolan, M. Thurai, and V. Chandrasekar, 2018: Dual-polarization radar rainfall estimation over tropical oceans. J. Appl. Meteor. Climatol., 57, 755-775. [abstract]

  26. Yang, H., and B. Wang, 2018: Multiscale processes in the genesis of a near-equatorial tropical cyclone during the Dynamics of the MJO: Results from partial lateral forcing experiments. J. Geophys. Res. Atmos., 123, 5020-5037. [abstract]

  27. Yu, H., R. H. Johnson, P. E. Ciesielski, and H.-C. Kuo, 2018: Observation of quasi-2-day convective disturbances in the equatorial Indian Ocean during DYNAMO. J. Atmos. Sci., 75, 2867-2888. [abstract]

  28. Zhang, J., P. Zuidema, D. D. Turner, and M. P. Cadeddu, 2018: Surface-based microwave humidity retrievals over the equatorial Indian Ocean: Applications and challenges. J. Appl. Meteor. Climatol., 57, 1765-1782. [abstract]

- 2017 -

  1. Achuthavarier, D., H. Wang, S. D. Schubert, and M. Sienkiewicz, 2017: Impact of DYNAMO observations on NASA GEOS-5 reanalyses and the representation of MJO initiation. J. Geophys. Res. Atmos., 122, 179-201. [abstract]

  2. Alappattu, D. P., Q. Wang, J. Kalogiros, N. Guy, and D. P. Jorgensen, 2017: Variability of upper ocean thermohaline structure during a MJO event from DYNAMO aircraft observations. J. Geophys. Res. Oceans, 122, 1122-1140. [abstract]

  3. Anber, U., S. Wang, and A. Sobel, 2017: Coupling with ocean mixed layer leads to intraseasonal variability in tropical deep convection: Evidence from cloud-resolving simulations. J. Adv. Model. Earth Syst., 9, 616-626. [abstract]

  4. Baranowski, D. B., M. K. Flatau, P. J. Flatau, and J. M. Schmidt, 2017: Multiple and spin off initiation of atmospheric convectively coupled Kelvin waves. Clim. Dyn., 49, 2991-3009. [open access]

  5. Bellenger, H., R. Wilson, J. L. Davison, J.-P. Duvel, W. Xu, F. Lott, and M. Katsumata, 2017: Tropospheric turbulence over the tropical open-ocean: Role of gravity waves. J. Atmos. Sci., 74, 1249-1271. [abstract]

  6. Chen, J., Y. Deng, J. Wang, and W. Lin, 2017: Hindcasting the Madden-Julian oscillation with a new parameterization of surface heat fluxes. J. Adv. Model. Earth Syst., 9, 2696-2709. [abstract]

  7. Ciesielski, P. E., R. H. Johnson, X. Jiang, Y. Zhang, and S. Xie, 2017: Relationships between radiation, clouds, and convection during DYNAMO. J. Geophys. Res. Atmos., 122, 2529-2548. [abstract]

  8. de Szoeke, S. P., E. D. Skyllingstad, P. Zuidema, and A. S. Chandra, 2017: Cold pools and their influence on the tropical marine boundary layer. J. Atmos. Sci., 74, 1149-1168. [abstract]

  9. Fu, J.-X., W. Wang, T. Shinoda, H.-L. Ren, and X. Jia, 2017: Toward understanding the diverse impacts of air-sea interactions on MJO simulations. J. Geophys. Res. Oceans, 122, 8855-8875. [abstract]

  10. Garot, T., H. Brogniez, R. Fallourd, and N. Viltard, 2017: Evolution of the distribution of upper-tropospheric humidity over the Indian Ocean: Connection with large-scale advection and local cloudiness. J. Appl. Meteor. Climatol., 56, 2035-2052. [abstract]

  11. Ge, X., W. Wnag, A. Kumar, and Y. Zhang, 2017: Importance of the vertical resolution in simulating SST diurnal and intraseasonal variability in an oceanic general circulation model. J. Climate, 30, 3963-3978. [abstract]

  12. Giglio, D., S. T. Gille, A. C. Surbramanian, and S. Nguyen, 2017: The role of wind gusts in upper ocean diurnal variability. J. Geophys. Res. Oceans, 122, 7751-7764. [abstract]

  13. Henderson, D. S., C. D. Kummerow, D. A. Marks, and W. Berg, 2017: A regime-based evaluation of TRMM oceanic precipitation biases. J. Atmos. Oceanic Technol., 34, 2613-2635. [abstract]

  14. Hong, X., C. A. Reynolds, J. D. Doyle, P. May, and L. O'Neill, 2017: Assessment of upper-ocean variability and the Madden-Julian oscillation in extended-range air-ocean coupled mesoscale simulations. Dyn. Atmos. Oceans, 78, 89-105. [abstract]

  15. Johnson, R. H., and P. E. Ciesielski, 2017: Multiscale variability of the atmospheric boundary layer during DYNAMO. J. Atmos. Sci., 74, 4003-4021. [abstract]

  16. Leung, J. C.-H., and W. Qian, 2017: Monitoring the Madden-Julian oscillation with geopotential height. Clim. Dyn., 49, 1981-2006. [abstract]

  17. Masunaga, H., and Y. Sumi, 2017: A toy model of tropical convection with a moisture storage closure. J. Adv. Model. Earth Syst., 9, 647-667. [abstract]

  18. Nasuno, T., K. Kikuchi, M. Nakano, Y. Yamada, M. Ikeda, and H. Taniguchi, 2017: Evaluation of the near real-time forecasts using a global nonhydrostatic model during the CINDY2011/DYNAMO. J. Meteor. Soc. Japan, 95, 345-368. [abstract]

  19. Noersomadi, and T. Tsuda, 2017: Comparison of three retrievals of COSMIC GPS radio occultation results in the tropical upper troposphere annd lower stratosphere. Earth, Planets and Space, 69, 125. [open access]

  20. Shinoda, T., W. Han, L. Zamudio, R.-C. Lien, and M. Katsumata, 2017: Remote Ocean response to the Madden-Julian oscillation during the DYNAMO field campaign: Impact on Somali current system and the Seychells-Chagos thermocline ridge. Atmosphere, 8, 171. [abstract]

  21. Sjoberg, J. P., T. Birner, and R. H. Johnson, 2017: Intraseasonal to interannual variability of Kelvin wave momentum fluxes as derived from high-resolution radiosonde data. Atmos. Chem. Phys., 17, 8971-8986. [abstract]

  22. Stolz, D. C., S. A. Rutledge, W. Xu, and J. R. Pierce, 2017: Interactions between the MJO, aerosols, and convection over the central Indian Ocean. J. Atmos. Sci., 74, 353-374. [abstract]

  23. Tao, W.-K., and. J.-D. Chern, 2017: The impact of simulated mesoscale convective systems on global precipitation: A multiscale modeling study. J. Adv. Model. Earth Syst., 9, 790-809. [abstract]

  24. Wang, H., W. Su, N. G. Loeb, D. Achuthavarier, and S. D. Schubert, 2017: The role of DYNAMO in situ observations in improving NASA CERES like daily surface and atmospheric radiative flux estimates. Earth Space Sci., 4, 164-183. [abstract]

  25. Ying, Y., and F. Zhang, 2017: Practical and intrinsic predictability of multi-scale weather and convectively-coupled equatorial waves during the active phase of an MJO. J. Atmos. Sci., 74, 3771-3785. [abstract]

  26. Zhang, F., S. Taraphdar, and S. Wang, 2017: The role of global circumnavigating mode in the MJO initiation and propagation. J. Geophys. Res. Atmos., 122, 5837-5856. [abstract]

  27. Zhu, L., and T. Li, 2017: A special MJO event with a double Kelvin wave structure. J. Meteor. Res., 31, 295-308. [abstract]

  28. Zuidema, P., G. Torri, C. Muller, and A. Chandra, 2017: A survey of precipitation-induced atmospheric cold pools over Oceans and their interactions with the larger-scale environment. Surv. Geophys., 38, 1283-1305. [abstract]

- 2016 -

  1. Ahmed, F., C. Schumacher, Z. Feng, and S. Hagos, 2016: A retrieval of tropical latent heating using the 3D structure of precipitation features. J. Appl. Meteor. Climatol., 55, 1965-1982. [abstract]

  2. Baranowski, D. B., M. K. Flatau, P. J. Flatau, and A. J. Matthews, 2016: Impact of atmospheric convectively coupled equatorial Kelvin waves on upper ocean variability. J. Geophys. Res. Atmos., 121, 2045-2059. [abstract]

  3. Baranowski, D. B., M. K. Flatau, P. J. Flatau, and A. J. Matthews, 2016: Phase locking between atmospheric convectively coupled equatorial Kelvin waves and the diurnal cycle of precipitation over the Maritime Continent. Geophys. Res. Lett., 43, 8269-8276. [abstract]

  4. Barnes, H. C., and R. A. Houze, Jr., 2016: Comparison of observed and simulated spatial patterns of ice microphysical processes in tropical oceanic mesoscale convective systems. J. Geophys. Res. Atmos., 121, 8269-8296. [abstract]

  5. Brogniez, H., R. Fallourd, C. Mallet, R. Sivira, and C. Dufour, 2016: Estimating confidence intervals around relative humidity profiles from satellite observations: Application to the SAPHIR sounder. J. Atmos. Oceanic Technol., 33, 1005-1022. [abstract]

  6. Chang, W.-Y., J. Vivekanandan, K. Ikeda, and P.-L. Lin, 2016: Quantitative precipitation estimation of the Epic 2013 Colorado flood event: Polarization radar-based variational scheme. J. Appl. Meteor. Climatol., 55, 1477-1495. [abstract]

  7. Chen, S. S., B. W. Kerns, N. Guy, D. P. Jorgensen, J. Delanoe, N. Viltard, C. J. Zappa, F. Judt, C.-Y. Lee, and A. Savarin, 2016: Aircraft observations of dry air, the ITCZ, convective cloud systems, and cold pools in MJO during DYNAMO. Bull. Amer. Meteor. Soc., 97, 405-423. [abstract]

  8. Fine, C. M., R. H. Johnson, P. E. Ciesielski, and R. K. Taft, 2016: The role of topographically induced vorticies in tropical cyclone formation over the Indian Ocean. Mon. Wea. Rev., 144, 4827-4847. [abstract]

  9. Gao, Y., P.-C. Hsu, H.-H. Hsu, 2016: Assessments of surface latent heat flux associated with the Madden-Julian Oscillation in reanalyses. Clim. Dyn., 47, 1755-1774. [abstract]

  10. Geng, B., and M. Katsumata, 2016: Beam blockage identification for weather radars on board the R/V Mirai using archived data. JAMSTEC Rep. Res. Dev., 22, 1-12. [abstract]

  11. Hagos, S. M., Z. Feng, C. D. Burleyson, C. Zhao, M. N. Martini, and L. K. Berg, 2016: Moist process biases in simulations of the Madden-Julian Oscillation episodes observed during the AMIE/DYNAMO field campaign. J. Climate, 29, 1091-1107. [abstract]

  12. Hagos, S. M., C. Zhang, Z. Feng, C. D. Burleyson, C. DeMott, B. Kerns, J. J. Benedict, and M. N. Martini, 2016: The impact of the diurnal cycle on the propagation of Madden-Julian oscillation convection across the Maritime Continent. J. Adv. Model. Earth Syst., 8, 1552-1564. [abstract]

  13. Hannah, W. M., B. E. Mapes, and G. S. Elsaesser, 2016: A Lagragian view of moisture dynamics during DYNAMO. J. Atmos. Sci., 73, 1967-1985. [abstract]

  14. Hoecker-Martínez, M. S., W. D. Smyth, and E. D. Skyllingstad, 2016: Oceanic turbulent energy budget using large eddy simulation of a wind event during DYNAMO. J. Phys. Oceanogr., 46, 827-840. [abstract]

  15. Janiga, M. A., and C. Zhang, 2016: MJO moisture budget during DYNAMO in a cloud-resolving model. J. Atmos. Sci., 73, 2257-2278. [abstract]

  16. Kerns, B. W., and S. S. Chen, 2016: Large-scale precipitation tracking and the MJO over the Maritime Continent and Indo-Pacific warm pool. J. Geophys. Res. Atmos., 121, 8755-8776. [abstract]

  17. Kubokawa, H., M. Satoh, J. Suzuki, and M. Fujiwara, 2016: Influence of topography on temperature variations in the tropical tropopause layer. J. Geophys. Res. Atmos., 121, 11556-11574. [abstract]

  18. Liu, P., Q. Zhang, C. Zhang, Y. Zhu, M. Khairoutdinov, H. Kim, C. Schumacher, and M. Zhang, 2016: A revised real-time multivariate MJO index. Mon. Wea. Rev., 144, 627-642. [abstract]

  19. Moteki, Q., 2016: Propagation processes of the Madden-Julian oscillation synchronized with an extratropical cyclone observed in late October during CINDY2011. SOLA, 12, 60-64. [abstract]

  20. Moum, J. N., K. Pujiana, R.-C. Lien, and W. D. Smyth, 2016: Ocean feedbacks to pulses of the Madden-Julian Oscillation in the equatorial Indian Ocean. Nat. Commun., 7, 13203, doi:10.1038/ncomms13203. [open access]

  21. Pilon, R., C. Zhang, and J. Dudhia, 2016: Roles of deep and shallow convection and microphysics in the MJO simulated by the Model for Prediction Across Scales (MPAS). J. Geophys. Res. Atmos., 121, 10575-10600. [abstract]

  22. Powell, S. W., 2016: Updraft buoyancy within and moistening by cumulonimbi prior to MJO convective onset in a regional model. J. Atmos. Sci., 73, 2913-2934. [abstract]

  23. Powell, S. W., R. A. Houze, Jr., and S. R. Brodzik, 2016: Rainfall-type categorization of radar echoes using polar coordinate reflectivity data. J. Atmos. Oceanic Technol., 33, 523-538. [abstract]

  24. Qian, Y., H. Yan, L. K. Berg, S. Hagos, Z. Feng, B. Yang, and M. Huang, 2016: Assessing impacts of PBL and surface layer schemes in simulating the surface-atmosphere interactions and precipitation over the tropical ocean using observationsfrom AMIE/DYNAMO. J. Climate, 29, 8191-8210. [abstract]

  25. Reynolds, C. A., J. D. Doyle, and X. Hong, 2016: Examining tropical cyclone - Kelvin wave interactions using adjoint diagnostics. Mon. Wea. Rev., 144, 4421-4439. [abstract]

  26. Ruppert, J. H., Jr., 2016: Diurnal timescale feedbacks in the tropical cumulus regime. J. Adv. Model. Earth Syst., 8, 1483-1500. [abstract]

  27. Ruppert, J. H. Jr., and R. H. Johnson, 2016: On the cumulus diurnal cycle over the tropical warm pool. J. Adv. Model. Earth Syst., 8, 669-690. [abstract]

  28. Shinoda, T., W. Han, T. G. Jensen, L. Zamudio, E. J. Metzger, and R.-C. Lien, 2016: Impact of the Madden-Julian oscillation on the Indonesian throughflow in Makassar Strait. J. Climate, 29, 6085-6108. [abstract]

  29. Soares, S. M., A. Natarov, and K. J. Richards, 2016: Internal swells in the tropics: Near-inertial wave energy fluxes and dissipation during CINDY. J. Geophys. Res. Oceans, 121, 3297-3324. [abstract]

  30. Tsuboi, A., T. Takemi, and K. Yoneyama, 2016: Seasonal environmental characteristics for the tropical cyclone genesis in the Indian Ocean during the CINDY2011/DYNAMO field experiment. Atmosphere, 7, 66. [abstract]

  31. Wang, S., A. H. Sobel, and J. Nie, 2016: Modeling the MJO in a cloud-resolving model with parameterized large-scale dynamics: Vertical structure, radiation, and horizontal advetion of dry air. J. Adv. Model. Earth Syst., 8, 121-139. [abstract]

  32. Xu, W., and S. A. Rutledge, 2016: Time scales of shallow-to-deep convective transition associated with the onset of Madden-Julian oscillations. Geophys. Res. Lett., 43, 2880-2888. [abstract]

- 2015 (JMSJ Special Issue) -

  1. Jensen, T. G., T. Shinoda, S. Chen, and M. Flatau, 2015: Ocean response to CINDY/DYNAMO MJOs in air-sea coupled COAMPS. J. Meteor. Soc. Japan, 93A, 157-178. [abstract]

  2. Kubota, H., K. Yoneyama, J.-I. Hamada, P. Wu, A. Sudaryanto, and I. Wahyono, 2015: Role of Maritime Continent convection during the preconditioning stage of the Madden-Julian Oscillation observed in CINDY2011/DYNAMO. J. Meteor. Soc. Japan, 93A, 101-114. [abstract]

  3. Masunaga, H., 2015: Assessment of a satellite-based atmospheric budget analysis method with CINDY2011/DYNAMO/AMIE and TOGA COARE sounding array data. J. Meteor. Soc. Japan, 93A, 21-40. [abstract]

  4. Miura, H., T. Suematsu, and T. Nasuno, 2015: An ensemble hindcast of the Madden-Julian oscillation during the CINDY2011/DYNAMO field campaign and influence of seasonal variation of sea surface temperature. J. Meteor. Soc. Japan, 93A, 115-137. [abstract]

  5. Moteki, Q., 2015: Equatorially anti-symmetric features in the initiation processes of the Madden-Julian Oscillation observed in the late October during CINDY2011. J. Meteor. Soc. Japan, 93A, 59-79. [abstract]

  6. Riley Dellaripa, E. M., and E. D. Maloney, 2015: Analysis of MJO wind-flux feedbacks in the Indian Ocean using RAMA buoy observations. J. Meteor. Soc. Japan, 93A, 1-20. [abstract]

  7. Seiki, A., M. Nagura, T. Hasegawa, and K. Yoneyama, 2015: Seasonal onset of the Madden-Julian Oscillation and its relation to the southeastern Indian Ocean cooling. J. Meteor. Soc. Japan, 93A, 139-156. [abstract]

  8. Takemi, T., 2015: Relationship between cumulus activity and environmental moisture during the CINDY2011/DYNAMO field experiment as revealed from convection-resolving simulations. J. Meteor. Soc. Japan, 93A, 41-58. [abstract]

  9. Yokoi, S., and A. H. Sobel, 2015: Intraseasonal variability and seasonal march of the moist static energy budget over the eastern Maritime Continent during CINDY2011/DYNAMO. J. Meteor. Soc. Japan, 93A, 81-100. [abstract]

- 2015 -

  1. Ahmed, F., and C. Schumacher, 2015: Convective and stratiform components of the precipitation-moisture relationship. Geophys. Res. Lett., 42, 10453-10462. [astract]

  2. Alappattu, D. P., and Q. Wang, 2015: Correction of depth bias in upper ocean temperature and salinity profiling measurements from airborne expendable probes. J. Atmos. Oceanic Technol., 32, 247-255. [abstract]

  3. Bellenger, H., K. Yoneyama, M. Katsumata, T. Nishizawa, K. Yasunaga, and R. Shirooka, 2015: Observation of moisture tendencies related to shallow convection. J. Atmos. Sci., 72, 641-659. [abstract]

  4. Bellenger, H., M. Katsumata, and K. Yoneyama, 2015: Turbulent mixing and its impact on lower tropospheric moisture over tropical ocean. Geophys. Res. Lett., 42, 3030-3037. [abstract]

  5. Cavanaugh, N. R., T. Allen, A. Subramanian, B. Mapes, H. Seo, and A. J. Miller, 2015: The skill of atmospheric linear inverse models in hindcasting the Madden-Julian oscillation. Clim. Dyn., 44, 897-906. [abstract]

  6. Chandra, A., C. Zhang, P. Kollias, S. Matrosov, and W. Szyrmer, 2015: Automated rain rate estimates using the Ka-band ARM Zenith Radar (KAZR). Atmos. Meas. Tech., 8, 3685-3699. [abstract]

  7. Chandra, A. S., C. Zhang, S. A. Klein, H.-Y. Ma, 2015: Low-cloud characteristics over the tropical western Pacific from ARM observations and CAM5 simulations. J. Geophys. Res. Atmos., 120, 8953-8970. [abstract]

  8. Chen, N., and A. J. Majda, 2015: Predicting the real-time multivariate Madden-Julian oscillation index through a low-order nonlinear stochastic model. Mon. Wea. Rev., 143, 2148-2169. [abstract]

  9. Chen, S., M. Flatau, T. G. Jensen, T. Shinoda, J. Schmidt, P. May, J. Cummings, M. Liu, P. E. Ciesielski, C. W. Fairall, R.-C. Lien, D. B. Baranowski, N.-H. Chi, S. de Szoeke, and J. Edson, 2015: A study of CINDY/DYNAMO MJO suppressed phase. J. Atmos. Sci., 72, 3755-3779. [abstract]

  10. Davison, J. L., 2015: A filter for removing sidelobe artifacts in Bragg scattering layer (BSL) analysis for S-band radar. J. Atmos. Oceanic Technol., 32, 1289-1297. [abstract]

  11. Del Genio, A., J. Wu, A. Wolf, Y. Chen, M. Yao, and D. Kim, 2015: Constraints on cumulus parameterization from simulations of observed MJO events. J. Climate, 28, 6419-6442. [abstract]

  12. de Szoeke, S. P., J. B. Edson, J. R. Marion, C. W. Fairall, and L. Bariteau, 2015: The MJO and air-sea interaction in TOGA COARE and DYNAMO. J. Climate, 28, 597-622. [abstract]

  13. Duvel, J. P., 2015: Initiation and intensification of tropical depressions over the Southern Indian Ocean: Inluence of the MJO. Mon. Wea. Rev., 143, 2170-2191. [abstract]

  14. Feng, Z., S. Hagos, A. K. Rowe, C. D. Burleyson, M. N. Martin, and S. P. de Szoeke, 2015: Mechanisms of convective cloud organization by cold pools over tropical warm ocean during the AMIE/DYNAMO field campaign. J. Adv. Model. Earth Syst., 7, 357-381. [abstract]

  15. Fu, X., W. Wang, J.-Y. Lee, B. Wang, K. Kikuchi, J. Xu, J. Li, and S. Weaver, 2015: Distinctive roles of air-sea coupling on different MJO events: A new perspective revealed from the DYNAMO/CINDY field campaign. Mon. Wea. Rev., 143, 794-812. [abstract]

  16. Hannah, W. M., E. D. Maloney, and M. S. Pritchard, 2015: Consequences of systematic model drift in DYNAMO MJO hindcasts with SP-CAM and CAM5. J. Adv. Model. Earth Syst., 7, 1051-1074. [abstract]

  17. 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 study. Part II: Processes leading to differences in MJO development. J. Atmos. Sci., 72, 2719-2743. [abstract]

  18. Johnson, R. H., P. E. Ciesielski, J. H. Ruppert, Jr., and M. Katsumata, 2015: Sounding-based thermodynamic budgets for DYNAMO. J. Atmos. Sci., 72, 598-622. [abstract]

  19. Li, T., C. Zhao, P.-C. Hsu, and T. Nasuno, 2015: MJO initiation processes over the tropical Indian Ocean during DYNAMO/CINDY2011. J. Climate, 28, 2121-2135. [abstract]

  20. Maloney, E. D., and Wolding, B. O., 2015: Initiation of an intraseasonal oscillation in an aquaplanet general circulation model. J. Adv. Model. Earth Syst., 7, 1956-1976. [abstract]

  21. Martini, A., N. Viltard, S. M. Ellis, E. Fontaine, 2015: Ice microphysics retrieval in the convective systems of the Indian Ocean during the CINDY-DYNAMO campaign. Atmos. Res., 163, 13-23. [abstract]

  22. Muraleedharan, P. M., S. Prasanna Kumar, K. Mohana Kumar, S. Sijikumar, K. U. Sivakumar, and T. Mathew, 2015: Observational evidence of mixed Rossby gravity waves at the central equatorial Indian Ocean. Meteorol. Atmos. Phys., 127, 407-417. [abstract]

  23. Nasuno, T., T. Li, and K. Kikuchi, 2015: Moistening processes before the convective initiation of Madden-Julian Oscillation events during the CINDY2011/DYNAMO period. Mon. Wea. Rev., 143, 622-643. [abstract]

  24. Oh, J.-H., X. Jiang, D. E. Waliser, M. W. Moncrieff, R. H. Johnson, and P. Ciesielski, 2015: A momentum budget analysis of westerly wind events associated with the Madden-Julian Oscillation during DYNAMO. J. Atmos. Sci., 72, 3780-3799. [abstract]

  25. Paulot, F., D. J. Jacob, M. T. Johnson, T. G. Bell, A. R. Baker, W. C. Keene, I. D. Lima, S. C. Doney, C. A. Stock, 2015: Global oceanic emission of ammonia: Constraints from seawater and atmospheric observations. Global Biogeochem. Cycles, 29, 1165-1178. [abstract]

  26. Powell, S. W., and R. A. Houze, Jr., 2015a: Evolution of precipitation and convective echo top heights observed by TRMM radar over the Indian Ocean during DYNAMO. J. Geophys. Res. Atmos., 120, 3906-3919. [abstract]

  27. Powell, S. W., and R. A. Houze, Jr., 2015b: Effet of dry large-scale vertical motions on initial MJO convective onset. J. Geophys. Res. Atmos., 120, 4783-4805. [abstract]

  28. Pujiana, K., J. N. Moum, W. D. Smyth, and S. J. Warner, 2015: Distinguishing ichthyogenic turbulence from geophysical turbulence. J. Geophys. Res. Oceans, 120, 3792-3804. [abstract]

  29. Rowe, A. K., and R. A. Houze Jr., 2015: Cloud organization and growth during the transition from suppressed to active MJO convections. J. Geophys. Res. Atmos., 120, 10324-10350. [abstract]

  30. Ruppert, J. H., Jr., and R. H. Johnson, 2015: Diurnally modulated cumulus moistening in the pre-onset stage of the Madden-Julian Oscillation during DYNAMO. J. Atmos. Sci., 72, 1622-1647. [abstract]

  31. Sentić, S., S. L. Sessions, and Ž. Fuchs, 2015: Diagnosing DYNAMO convection with weak temperature gradient simulations. J. Adv. Model. Earth Syst., 7, 1849-1871. [abstract]

  32. Skyllingstad, E. D., and S. P. de Szoeke, 2015: Cloud-resolving large-eddy simulation of tropical convective development and surface fluxes. Mon. Wea. Rev., 143, 2441-2458. [abstract]

  33. Smyth, W. D., T. S. Durland, and J. N. Moum, 2015: Energy and heat fluxes due to vertically propagating Yanai waves observed in the equatorial Indian Ocean. J. Geophys. Res. Oceans, 120, 1-15. [abstract]

  34. Thompson, E. J., S. A. Rutledge, B. Dolan, and M. Thurai, 2015: Drop size distributions and radar observations of convective and stratiform rain over the equatorial Indian and West Pacific Oceans. J. Atmos. Sci., 72, 4091-4125. [abstract]

  35. Tseng, K.-C., C.-H. Sui, and T. Li, 2015: Moistening processes for Madden-Julian Oscillation during DYNAMO/CINDY. J. Climate, 28, 3041-3057. [abstract]

  36. Wang, S., A. H. Sobel, A. Fridlind, Z. Feng, J. M. Comstock, P. Minnis, and M. L. Nordeen, 2015: Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array. J. Adv. Model. Earth Syst., 7, 1472-1498. [abstract]

  37. Wang, S., A. H. Sobel, F. Zhang, Y. Qiang Sun, Y. Yue, and L. Zhou, 2015: Regional simulation of the October and November MJO events observed during the CINDY/DYNAMO field campaign at gray zone resolution. J. Climate, 28, 2097-2119. [abstract]

  38. Wang, W., A. Kumar, X. Fu, and M.-P. Hung, 2015: What is the role of the sea surface temperature uncertainty in the prediction of tropical convection associated with the MJO? Mon. Wea. Rev., 143, 3156-3175. [abstract]

  39. Wolding, B. O., and E. D. Maloney, 2015: Objective Diagnostics and the Madden-Julian Oscillation. Part I: Methodology. J. Climate, 28, 4127-4140. [abstract]

  40. Xiang, B., M. Zhao, S.-J. Lin, T. Li, X. Fu, and G. Vecchi, 2015: 3-4 week MJO prediction skill in a GFDL coupled model. J. Climate, 28, 5351-5364. [abstract]

  41. Xiao, H., W. I. Gustafson Jr., S. M. Hagos, C.-M. Wu, and H. Wan, 2015: Resolution-dependent behavior of subgrid-scale vertical transport in the Zhang-McFarlane convection parameterization. J. Adv. Model. Earth Syst., 7, 537-550. [abstract]

  42. Xu, W., and S. A. Rutedge, 2015: Morphology, intensity, and rainfall production of MJO convection: Observations from DYNAMO shipborne radar and TRMM. J. Atmos. Sci., 72, 623-640. [abstract]

  43. Xu, W., S. A. Rutledge, C. Schumacher, and M. Katsumata, 2015: Evolution, properties, and spatial variability of MJO convection near and off the Equator during DYNAMO. J. Atmos. Sci., 72, 4126-4147. [abstract]

  44. Yu, H., P. E. Ciesielski, J. Wang, H.-C. Kuo, H. Voemel, and R. Dirksen, 2015: Evaluation of humidity correction methods for Vaisala RS92 tropical sounding data. J. Atmos. Oceanic Technol., 32, 397-411. [abstract]

  45. Zermeño-Díaz, D. M., C. Zhang, P. Kollias, and H. Kalesse, 2015: The role of shallow cloud moistening in MJO and non-MJO convective events over the ARM Manus site. J. Atmos. Sci., 72, 4797-4820. [abstract]

- 2014 -

  1. Barnes, H. C., and R. A. Houze, Jr., 2014: Precipitation hydrometeor type relative to the mesoscale airflow in mature oceanic deep convection of the Madden-Julian Oscillation. J. Geophys. Res. Atmos., 119, 13990-14014. [abstract]

  2. Chi, N.-H., R.-C. Lien, E. A. D'Asaro, and B. B. Ma, 2014: The surface mixed layer heat budget from mooring observations in the central Indian Ocean during Madden-Julian Oscillation events. J. Geophys. Res. Oceans, 119, 4638-4652. [abstract]

  3. Ciesielski, P. E., R. H. Johnson, K. Yoneyama, and R. K. Taft, 2014: Mitigation of Sri Lanka Island effects in Colombo sounding data and its impact on DYNAMO analyses. J. Meteor. Soc. Japan, 92, 385-405. [abstract]

  4. Ciesielski, P. E., H. Yu, R. H. Johnson, K. Yoneyama, M. Katsumata, C. N. Long, J. Wang, S. M. Loehrer, K. Young, S. F. Williams, W. Brown, J. Braun, T. Van Hove, 2014: Quality-controlled upper-air sounding dataset for DYNAMO/CINDY/AMIE: Development and corrections. J. Atmos. Oceanic Technol., 31, 741-764. [abstract]

  5. Deng, M., P. Kollias, Z. Feng, C. Zhang, C. N. Long, H. Kalesse, A. Chandra, V. V. Kumar, and A. Protat, 2014: Stratiform and convective precipitation observed by multiple radars during the DYNAMO/AMIE experiment. J. Appl. Meteor. Climatol., 53, 2503-2523. [abstract]

  6. DePasquale, A., C. Schumacher, and A. Rapp, 2014: Radar observations of MJO and Kelvin wave interactions during DYNAMO/CINDY2011/AMIE. J. Geophys. Res. Atmos., 119, 6347-6367. [abstract]

  7. Feng, Z., S. A. McFarlane, C. Schumacher, S. Ellis, J. Comstock, and N. Bharadwaj, 2014: Constructing a merged cloud-precipitation radar dataset for tropical convective clouds during the DYNAMO/AMIE experiment at Addu Atoll. J. Atmos. Oceanic Technol., 31, 1021-1042. [abstract]

  8. Guy, N., and D. P. Jorgensen, 2014: Kinematic and precipitation characteristics of convective systems observed by airborne Doppler radar during the life cycle of a Madden-Julian Oscillation in the Indian Ocean. Mon. Wea. Rev., 142, 1385-1402. [abstract]

  9. Hagos, S., Z. Feng, C. D. Burleyson, K.-S. Sunny Lim, C. N. Long, D. Wu, and G. Thompson, 2014: Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO. J. Geophys. Res. Atmos., 119, 12052-12068. [abstract]

  10. Hagos, S., Z. Feng, K. Landu, and C. N. Long, 2014: Advection, moistening, and shallow-to-deep convection transitions during the initiation and propagation of Madden-Julian Oscillation. J. Adv. Model. Earth Syst., 6, 938-949. [abstract]

  11. Hannah, W., and E. Maloney, 2014: The moist static energy budget in NCAR CAM5 hindcasts during DYNAMO. J. Adv. Model. Earth Syst., 6, 420-440. [abstract]

  12. Judt, F., and S. S. Chen, 2014: An explosive convective cloud system and its environmental conditions in MJO initiation observed during DYNAMO. J. Geophys. Res. Atmos., 119, 2781-2795. [abstract]

  13. Kerns, B. W., and S. S. Chen, 2014a: Equatorial dry air intrusion and related synoptic variability in MJO initiation during DYNAMO. Mon. Wea. Rev., 142, 1326-1343. [abstract]

  14. Kerns, B. W., and S. S. Chen, 2014b: ECMWF and GFS model forecast verification during DYNAMO: Multiscale variability in MJO initiation over the equatorial Indian Ocean. J. Geophys. Res. Atmos., 119, 3736-3755. [abstract]

  15. 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, 1697-1715. [abstract]

  16. Kumjian, M. R., and O. P. Prat, 2014: The impact of raindrop collisional processes on the polarimetric radar variables. J. Atmos. Sci., 71, 3052-3067. [abstract]

  17. Lappen, C.-L., and C. Schumacher, 2014: The role of tilted heating in the evolution of the MJO. J. Geophys. Res. Atmos., 119, 2966-2989. [abstract]

  18. Li, Y., W. Han, T. Shinoda, C. Wang, M. Ravichandran, and J.-W. Wang, 2014: Revisiting the wintertime intraseasonal SST variability in the tropical south Indian Ocean: Impact of the ocean interannual variation. J. Phys. Oceanogr., 44, 1886-1907. [abstract]

  19. Ling, J., P. Bauer, P. Bechtold, A. Beljaars, R. Forbes, F. Vitart, M. Ulate, and C. Zhang, 2014: Global versus local MJO forecast skill of the ECMWF model during DYNAMO. Mon. Wea. Rev., 142, 2228-2247. [abstract]

  20. Matthews, A. J., D. B. Baranowski, K. J. Heywood, P. J. Flatau, and S. Schmidtko, 2014: The surface diurnal warm layer in the Indian Ocean during CINDY/DYNAMO. J. Climate, 27, 9101-9122. [abstract]

  21. Miyakawa, T., M. Satoh, H. Miura, H. Tomita, H. Yashiro, A. T. Noda, Y. Yamada, C. Kodama, M. Kimoto, and K. Yoneyama, 2014: Madden-Julian Oscillation prediction skill of a new-generation global model demonstrated using a supercomputer. Nat. Commun., 5, 3769. [open access]

  22. Moum, J. N., S. P. de Szoeke, W. D. Smyth, J. B. Edson, H. L. DeWitt, A. J. Moulin, E. J. Thompson, C. J. Zappa, S. A. Rutledge, R. H. Johnson, and C. W. Fairall, 2014: Air-sea interactions from westerly wind burst during the November 2011 MJO in the Indian Ocean. Bull. Amer. Meteor. Soc., 95, 1185-1199. [abstract]

  23. Pritchard, M. S., and C. S. Bretherton, 2014: Causal evidence that rotational moisture advection is critical to the superparameterized Madden-Julian Oscillation. J. Atmos. Sci., 71, 800-815. [abstract]

  24. Rowe, A. K., and R. A. Houze, Jr., 2014: Microphysical characteristics of MJO convection over the Indian Ocean during DYNAMO. J. Geophys. Res. Atmos., 119, 2543-2554. [abstract]

  25. Seo, H., A. C. Subramanian, A. J. Miller, and N. R. Cavanaugh, 2014: Coupled impacts of the diurnal cycle of sea surface temperature on the Madden-Julian Oscillation. J. Climate, 27, 8422-8443. [abstract]

  26. Sobel, A., S. Wang, and D. Kim, 2014: Moist static energy budget of the MJO during DYNAMO. J. Atmos. Sci., 71, 4276-4291. [abstract]

  27. Subramanian, A. C., and G. J. Zhang, 2014: Diagnosing MJO hindcast biases in NCAR CAM3 using nudging during the DYNAMO field campaign. J. Geophys. Res. Atmos., 119, 7231-7253. [abstract]

  28. Tung, W.-W., D. Giannakis, and A. J. Majda, 2014: Symmetric and antisymmetric convection signals in the Madden-Julian Oscillation. Part I: Basic modes in infrared brightness temperature. J. Atmos. Sci., 71, 3302-3326. [abstract]

  29. Webber, B. G. M., A. J. Matthews, K. J. Heywood, J. Kaiser, and S. Schmidtko, 2014: Seaglider observations of equatorial Ocean Rossby waves associated with the Madden-Julian Oscillation. J. Geophys. Res. Oceans, 119, 3714-3731. [abstract]

  30. Xu, W. and S. A. Rutledge, 2014: Convective characteristics of the Madden-Julian Oscillation over the central Indian Ocean observed by shipborne radar during DYNAMO. J. Atmos. Sci., 71, 2859-2877. [abstract]

  31. Yokoi, S., M. Katsumata, and K. Yoneyama, 2014: Variability in surface meteorology and air-sea fluxes due to cumulus convective systems observed during CINDY/DYNAMO. J. Geophys. Res. Atmos., 119, 2064-2078. [abstract]

- 2013 -

  1. Barnes, H. C., and R. A. Houze, Jr., 2013: The precipitating cloud population of the Madden-Julian Oscillation over the Indian and Pacific Oceans. J. Geophys. Res. Atmos., 118, 6996-7023. [abstract]

  2. DeWitt, H. L., D. J. Coffman, K. J. Schulz, W. A. Brewer, T. S. Bates, and P. K. Quinn, 2013: Atmospheric aerosol properties over the equatorial Indian Ocean and the impact of the Madden-Julian Oscillation. J. Geophys. Res. Atmos., 118, 5736-5749. [abstract]

  3. Fu, X., J.-Y. Lee, P.-C. Hsu, H. Taniguchi, B. Wang, W. Wang, and S. Weaver, 2013: Multi-model forecasting during DYNAMO/CINDY period. Clim. Dyn., 41, 1067-1081. [abstract]

  4. Gottschalck, J., P. E. Roundy, C. J. Schreck III, A. Vintzileos, and C. Zhang, 2013: Large-scale atmospheric and oceanic conditions during the 2011-2012 DYNAMO field campaign. Mon. Wea. Rev., 141, 4173-4196. [abstract]

  5. Johnson, R. H., and P. E. Ciesielski, 2013: Structure and properties of Madden-Julian Oscillations deduced from DYNAMO sounding arrays. J. Atmos. Sci., 70, 3157-3179. [abstract]

  6. Li, Y., W. Han, T. Shinoda, C. Wang, R.-C. Lien, J. N. Moum, and J.-W. Wang, 2013: Effects of the diurnal cycle in solar radiation on the tropical Indian Ocean mixed layer variability during wintertime Madden-Julian oscillation. J. Geophys. Res. Oceans, 118, 4945-4964. [abstract]

  7. Ling, J., C. Zhang, and P. Bechtold, 2013: Large-scale distinctions between MJO and non-MJO convective initiation over the tropical Indian Ocean. J. Atmos. Sci., 70, 2696-2712. [abstract]

  8. McPhaden, M. J., and G. R. Foltz, 2013: Intraseasonal variations in the surface layer heat balance of the central equatorial Indian Ocean: The importance of horizontal advection and vertical mixing. Geophys. Res. Lett., 40, 2737-2741. [abstract]

  9. Nasuno T., 2013: Forecast skill of Madden-Julian Oscillation events in a global nonhydrostatic model during the CINDY2011/DYNAMO observation period. SOLA, 9, 69-73. [abstract]

  10. Powell, S. W., and R. A. Houze, Jr., 2013: The cloud population and onset of the Madden-Julian Oscillation over the Indian Ocean during DYNAMO-AMIE. J. Geophys. Res. Atmos., 118, 11979-11995. [abstract]

  11. Seiki, A., M. Katsumata, T. Horii, T. Hasegawa, K. J. Richards, K. Yoneyama, and R. Shirooka, 2013: Abrupt cooling associated with the oceanic Rossby wave and lateral advection during CINDY2011. J. Geophys. Res. Oceans, 118, 5523-5535. [abstract]

  12. Shinoda, T., T. Jensen, M. Flatau, and S. Chen, 2013: Surface wind and upper ocean variability associated with the Madden-Julian Oscillation simulated by the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Rev., 141, 2290-2307. [abstract]

  13. Shinoda, T., T. Jensen, M. Flatau, S. Chen, W. Han, and C. Wang, 2013: Large-scale oceanic variability associated with the Madden-Julian Oscillation during the CINDY/DYNAMO field campaign from satellite observations. Remote Sens., 5, 2072-2092. [abstract]

  14. Suzuki, J., M. Fujiwara, T. Nishizawa, R. Shirooka, K. Yoneyama, M. Katsumata, I. Matsui, and N. Sugimoto, 2013: The occurrence of cirrus clouds associated with eastward propagating equatorial n=0 inertio-gravity and Kelvin waves in November 2011 during the CINDY2011/DYNAMO campaign. J. Geophys. Res. Atmos., 118, 12941-12947. [abstract]

  15. Yoneyama, K., C. Zhang, and C. N. Long, 2013: Tracking pulses of the Madden-Julian oscillation. Bull. Amer. Meteor. Soc., 94, 1871-1891. [abstract]

  16. Zhang, C., 2013: Madden-Julian Oscillation: Bridging weather and climate. Bull. Amer. Meteor. Soc., 94, 1849-1870. [abstract]

  17. Zhang, C., J. Gottschalck, E. D. Maloney, M. W. Moncrieff, F. Vitart, D. E. Waliser, B. Wang, and M. C. Wheeler, 2013: Ctacking the MJO nut. Geophys. Res. Lett., 40, 1223-1230. [abstract]

  18. Zuluaga, M. D., and R. A. Houze, Jr., 2013: Evolution of the population of precipitating convective systems over the equatorial Indian Ocean in active phases of the Madden-Julian Oscillation. J. Atmos. Sci., 70, 2713-2725. [abstract]

Papers from MISMO project

2006 - present (MISMO web page)