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Artykuły w czasopismach na temat „Intraseasonal Oscillation in Atmosphere”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

Bellon, Gilles, Adam H. Sobel, and Jerome Vialard. "Ocean–Atmosphere Coupling in the Monsoon Intraseasonal Oscillation: A Simple Model Study." Journal of Climate 21, no. 20 (2008): 5254–70. http://dx.doi.org/10.1175/2008jcli2305.1.

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Abstract A simple coupled model is used in a zonally symmetric aquaplanet configuration to investigate the effect of ocean–atmosphere coupling on the Asian monsoon intraseasonal oscillation. The model consists of a linear atmospheric model of intermediate complexity based on quasi-equilibrium theory coupled to a simple, linear model of the upper ocean. This model has one unstable eigenmode with a period in the 30–60-day range and a structure similar to the observed northward-propagating intraseasonal oscillation in the Bay of Bengal/west Pacific sector. The ocean–atmosphere coupling is shown t

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2

Roundy, Paul E., and Joseph R. Kravitz. "The Association of the Evolution of Intraseasonal Oscillations to ENSO Phase." Journal of Climate 22, no. 2 (2009): 381–95. http://dx.doi.org/10.1175/2008jcli2389.1.

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Abstract The Pacific Ocean intraseasonal Kelvin wave is a leading oceanic mode that links intraseasonal tropical atmospheric variations with interannual variations in the coupled ocean–atmosphere system. This study considers the premise that these waves may evolve differently with their associated weather patterns during different phases of El Niño–Southern Oscillation (ENSO). If atmospheric and oceanic intraseasonal modes interact and evolve differently during various stages of ENSO, this result may provide useful information with regard to the role of these intraseasonal processes in ENSO ev

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3

Krishnamurthy, V., Cristiana Stan, David A. Randall, Ravi P. Shukla, and James L. Kinter. "Simulation of the South Asian Monsoon in a Coupled Model with an Embedded Cloud-Resolving Model." Journal of Climate 27, no. 3 (2014): 1121–42. http://dx.doi.org/10.1175/jcli-d-13-00257.1.

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Abstract The simulation of the South Asian monsoon by a coupled ocean–atmosphere model with an embedded cloud-resolving model is analyzed on intraseasonal and interannual time scales. The daily modes of variability in the superparameterized Community Climate System Model, version 3 (SP-CCSM), are compared with those in observation, the superparameterized Community Atmospheric Model, version 3 (SP-CAM3), and the control simulation of CCSM (CT-CCSM) with conventional parameterization of convection. The CT-CCSM fails to simulate the observed intraseasonal oscillations but is able to generate the

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4

Rokade, M. V., R. Kondala Rao, S. S. Nikte, et al. "Intraseasonal oscillation (ISO) in the MLT zonal wind over Kolhapur (16.8° N) and Tirunelveli (8.7° N)." Annales Geophysicae 30, no. 12 (2012): 1623–31. http://dx.doi.org/10.5194/angeo-30-1623-2012.

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Abstract. Simultaneous observations of the mean zonal winds at 88 km obtained by the medium-frequency (MF) radars at Kolhapur (16.8° N, 74.2° E) and Tirunelveli (8.7° N, 77.8° E) have been used to study the intraseasonal oscillation (ISO) in the MLT region. The influences of the intraseasonal variations in the lower tropospheric convective activity associated with the Madden-Julian oscillations on the latitudinal behavior of intraseasonal oscillations (ISO) of the zonal winds in the equatorial mesosphere and lower thermosphere (MLT) have been studied. The ISO activity in the lower tropospheric

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5

Hu, Qi, Zhaoning Liang, and Michael W. Hoffman. "Detecting Source Regions of Wave Activities in the Tropical Atmosphere by Applying Beamforming to Interpolated Data Grids." Journal of Atmospheric and Oceanic Technology 26, no. 2 (2009): 270–80. http://dx.doi.org/10.1175/2008jtecha1121.1.

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Abstract Wave activities are primary sources of weather disturbances and cyclones in the tropical atmosphere. One such activity is the intraseasonal variations in wind, convection, and precipitation in the tropical Indian and western tropical Pacific region. These variations affect the intensity, break and reset, and rainfall in the Indian and the East Asian monsoons. Detecting the source regions of these wave activities is essential for understanding and for prediction of wave development. In this study, a fixed beamforming method is proposed to deduce source regions of some wave activities i

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6

Wang, Lu, Tim Li, and Tianjun Zhou. "Intraseasonal SST Variability and Air–Sea Interaction over the Kuroshio Extension Region during Boreal Summer." Journal of Climate 25, no. 5 (2012): 1619–34. http://dx.doi.org/10.1175/jcli-d-11-00109.1.

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The structure and evolution characteristics of intraseasonal (20–100 day) variations of sea surface temperature (SST) and associated atmospheric and oceanic circulations over the Kuroshio Extension (KE) region during boreal summer are investigated, using satellite-based daily SST, observed precipitation data, and reanalysis data. The intraseasonal SST warming in the KE region is associated with an anomalous anticyclone in the overlying atmosphere, reduced precipitation, and northward and downward currents in the upper ocean. The corresponding atmospheric and oceanic fields during the SST cooli

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7

Klingaman, Nicholas P., Steven J. Woolnough, Hilary Weller, and Julia M. Slingo. "The Impact of Finer-Resolution Air–Sea Coupling on the Intraseasonal Oscillation of the Indian Monsoon." Journal of Climate 24, no. 10 (2011): 2451–68. http://dx.doi.org/10.1175/2010jcli3868.1.

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Abstract A newly assembled atmosphere–ocean coupled model, called HadKPP, is described and then used to determine the effects of subdaily air–sea coupling and fine near-surface ocean vertical resolution on the representation of the Northern Hemisphere summer intraseasonal oscillation. HadKPP comprises the Hadley Centre atmospheric model coupled to the K-Profile Parameterization ocean boundary layer model. Four 30-member ensembles were performed that vary in ocean vertical resolution between 1 and 10 m and in coupling frequency between 3 and 24 h. The 10-m, 24-h ensemble exhibited roughly 60% o

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8

Rydbeck, Adam V., Eric D. Maloney, Shang-Ping Xie, Jan Hafner, and Jeffrey Shaman. "Remote Forcing versus Local Feedback of East Pacific Intraseasonal Variability during Boreal Summer." Journal of Climate 26, no. 11 (2013): 3575–96. http://dx.doi.org/10.1175/jcli-d-12-00499.1.

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Abstract During boreal summer (June–October), interactions between intraseasonal variability in the Eastern Hemisphere and east Pacific warm pool are often described as a local amplification of the Madden–Julian oscillation (MJO), the dominant mode of tropical intraseasonal variability. The MJO in the Eastern Hemisphere emits eastward-propagating dry Kelvin waves that are a source of rapid communication with the east Pacific. However, the precise mechanism by and degree to which intraseasonal variability in the Eastern Hemisphere interacts with the east Pacific are not well understood. To quan

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9

Fu, Xiouhua, Bo Yang, Qing Bao, and Bin Wang. "Sea Surface Temperature Feedback Extends the Predictability of Tropical Intraseasonal Oscillation." Monthly Weather Review 136, no. 2 (2008): 577–97. http://dx.doi.org/10.1175/2007mwr2172.1.

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Abstract The possible impacts of different sea surface temperature (SST) configurations on the predictability of the boreal summer tropical intraseasonal oscillation (TISO) are assessed with a series of ensemble forecasts. The five different lower boundary conditions examined in this study are, respectively, (i) the fully interactive ocean–atmosphere coupling, (ii) “smoothed” SST, which excludes the intraseasonal signal from sea surface forcing, (iii) damped persistent SST, (iv) coupling to a slab mixed-layer ocean, and (v) daily SST from the coupled forecast. The full atmosphere–ocean couplin

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10

Wang, Xu, and Guang J. Zhang. "Evaluation of the Quasi-Biweekly Oscillation over the South China Sea in Early and Late Summer in CAM5." Journal of Climate 32, no. 1 (2018): 69–84. http://dx.doi.org/10.1175/jcli-d-18-0072.1.

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Abstract Low-frequency intraseasonal oscillations in the tropical atmosphere in general circulation models (GCMs) were studied extensively in many previous studies. However, the simulation of the quasi-biweekly oscillation (QBWO), which is an important component of the intraseasonal oscillations, in GCMs has not received much attention. This paper evaluates the QBWO features over the South China Sea in early [May–June (MJ)] and late [August–September (AS)] summer in the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 5.3 (CAM5), using observations and reanal

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11

Pegion, Kathy, and Ben P. Kirtman. "The Impact of Air–Sea Interactions on the Simulation of Tropical Intraseasonal Variability." Journal of Climate 21, no. 24 (2008): 6616–35. http://dx.doi.org/10.1175/2008jcli2180.1.

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Abstract The impact of coupled air–sea feedbacks on the simulation of tropical intraseasonal variability is investigated in this study using the National Centers for Environmental Prediction Climate Forecast System. The simulation of tropical intraseasonal variability in a freely coupled simulation is compared with two simulations of the atmospheric component of the model. In one experiment, the uncoupled model is forced with the daily sea surface temperature (SST) from the coupled run. In the other, the uncoupled model is forced with climatological SST from the coupled run. Results indicate t

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12

Maloney, Eric D., and Adam H. Sobel. "Surface Fluxes and Ocean Coupling in the Tropical Intraseasonal Oscillation." Journal of Climate 17, no. 22 (2004): 4368–86. http://dx.doi.org/10.1175/jcli-3212.1.

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Abstract Sensitivity of tropical intraseasonal variability to mixed layer depth is examined in the modified National Center for Atmospheric Research Community Atmosphere Model 2.0.1 (CAM), with relaxed Arakawa–Schubert convection, coupled to a slab ocean model (SOM) whose mixed layer depth is fixed and geographically uniform, but varies from one experiment to the next. Intraseasonal west Pacific precipitation variations during boreal winter are enhanced relative to a fixed-SST (infinite mixed layer depth) simulation for mixed layer depths from 5 to 50 m, with a maximum at 20 m [interestingly,

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13

Maloney, Eric D., and Steven K. Esbensen. "A Modeling Study of Summertime East Pacific Wind-Induced Ocean–Atmosphere Exchange in the Intraseasonal Oscillation." Journal of Climate 18, no. 4 (2005): 568–84. http://dx.doi.org/10.1175/jcli-3280.1.

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Abstract Intraseasonal precipitation variability over the northeast Pacific warm pool during June–October in the National Center for Atmospheric Research Community Atmosphere Model 2.0.1 with a relaxed Arakawa–Schubert convection parameterization is found to be strongly sensitive to wind-induced variations in surface latent heat flux. A control simulation with interactive surface fluxes produces northeast Pacific warm pool intraseasonal wind and precipitation variations that are of similar magnitude and structure to those associated with the observed intraseasonal oscillation (ISO). Periods of

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14

Lan, Yung-Yao, Huang-Hsiung Hsu, and Wan-Ling Tseng. "Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations." Geoscientific Model Development 17, no. 9 (2024): 3897–918. http://dx.doi.org/10.5194/gmd-17-3897-2024.

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Abstract. This study uses the Community Atmosphere Model 5.3 coupled to a 1-D ocean model to investigate the effects of intraseasonal sea surface temperature (SST) feedback frequency on Madden–Julian oscillation (MJO) simulations with intervals at 30 min and 1, 3, 6, 12, 18, 24, and 30 d. The large-scale nature of the MJO in simulations remains intact with decreasing feedback frequency, although it becomes increasingly unrealistic in both structure and amplitude, until 1 per 30 d when the intraseasonal fluctuations are overwhelmingly dominated by unorganized small-scale perturbations in both a

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15

Henderson, Gina R., Bradford S. Barrett, Ashley Lois, and Haadi Elsaawy. "Time-Lagged Response of the Antarctic and High-Latitude Atmosphere to Tropical MJO Convection." Monthly Weather Review 146, no. 4 (2018): 1219–31. http://dx.doi.org/10.1175/mwr-d-17-0224.1.

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Intraseasonal tropical variability has important implications for the mid- and high-latitude atmosphere, and in recent studies has been shown to modulate a number of weather processes in the Northern Hemisphere, such as snow depth, sea ice concentration, precipitation, atmospheric rivers, and air temperature. In such studies, the extratropical atmosphere has tended to respond to the tropical convection of the leading mode of intraseasonal variability, the Madden–Julian oscillation (MJO), with a time lag of approximately 7 days. However, the time lag between the MJO and the Antarctic atmosphere

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16

Lin, Hai, Gilbert Brunet, and Jacques Derome. "Intraseasonal Variability in a Dry Atmospheric Model." Journal of the Atmospheric Sciences 64, no. 7 (2007): 2422–41. http://dx.doi.org/10.1175/jas3955.1.

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Abstract A long integration of a primitive equation dry atmospheric model with time-independent forcing under boreal winter conditions is analyzed. A variety of techniques such as time filtering, space–time spectral analysis, and lag regressions are used to identify tropical waves. It is evident that oscillations with intraseasonal time scales and a Kelvin wave structure exist in the model tropical atmosphere. Coherent eastward propagations in the 250-hPa velocity potential and zonal wind are found, with a speed of about 15 m s−1. The oscillation is stronger in the Eastern Hemisphere than in t

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17

Ge, Xuyang, Wanqiu Wang, Arun Kumar, and Ying Zhang. "Importance of the Vertical Resolution in Simulating SST Diurnal and Intraseasonal Variability in an Oceanic General Circulation Model." Journal of Climate 30, no. 11 (2017): 3963–78. http://dx.doi.org/10.1175/jcli-d-16-0689.1.

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Abstract In this paper, the influence of high vertical resolution near the surface in an oceanic general circulation model in simulating the observed sea surface temperature (SST) variability is investigated. In situ observations of vertical temperature profiles are first used to quantify temperature variability with depth near the ocean surface. The analysis shows that there is a sharp vertical temperature gradient within the top 10 m of the ocean. Both diurnal and intraseasonal variabilities of the ocean temperatures are largest near the surface and decrease with the ocean depth. Numerical e

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18

Batstone, Crispian P., Adrian J. Matthews, and David P. Stevens. "Coupled Ocean–Atmosphere Interactions between the Madden–Julian Oscillation and Synoptic-Scale Variability over the Warm Pool." Journal of Climate 18, no. 12 (2005): 2004–20. http://dx.doi.org/10.1175/jcli3398.1.

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Abstract A principal component analysis of the combined fields of sea surface temperature (SST) and surface zonal and meridional wind reveals that the dominant mode of intraseasonal (30 to 70 day) covariability during northern winter in the tropical Eastern Hemisphere is that of the Madden–Julian oscillation (MJO). Regression calculations show that the submonthly (30-day high-pass filtered) surface wind variability is significantly modulated during the MJO. Regions of increased (decreased) submonthly surface wind variability propagate eastward, approximately in phase with the intraseasonal sur

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19

Pegion, Kathy, and Ben P. Kirtman. "The Impact of Air–Sea Interactions on the Predictability of the Tropical Intraseasonal Oscillation." Journal of Climate 21, no. 22 (2008): 5870–86. http://dx.doi.org/10.1175/2008jcli2209.1.

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Abstract This study investigates whether air–sea interactions contribute to differences in the predictability of the boreal winter tropical intraseasonal oscillation (TISO) using the NCEP operational climate model. A series of coupled and uncoupled, “perfect” model predictability experiments are performed for 10 strong model intraseasonal events. The uncoupled experiments are forced by prescribed SST containing different types of variability. These experiments are specifically designed to be directly comparable to actual forecasts. Predictability estimates are calculated using three metrics, i

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20

Rydbeck, Adam V., and Tommy G. Jensen. "Oceanic Impetus for Convective Onset of the Madden–Julian Oscillation in the Western Indian Ocean." Journal of Climate 30, no. 11 (2017): 4299–316. http://dx.doi.org/10.1175/jcli-d-16-0595.1.

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Abstract A theory for intraseasonal atmosphere–ocean–atmosphere feedback is supported whereby oceanic equatorial Rossby waves are partly forced in the eastern Indian Ocean by the Madden–Julian oscillation (MJO), reemerge in the western Indian Ocean ~70 days later, and force large-scale convergence in the atmospheric boundary layer that precedes MJO deep convection. Downwelling equatorial Rossby waves permit high sea surface temperature (SST) and enhance meridional and zonal SST gradients that generate convergent circulations in the atmospheric boundary layer. The magnitude of the SST and SST g

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21

Tang, Yue, Gang Zeng, Xiaoye Yang, Vedaste Iyakaremye, and Zhongxian Li. "Intraseasonal Oscillation of Summer Extreme High Temperature in Northeast China and Associated Atmospheric Circulation Anomalies." Atmosphere 13, no. 3 (2022): 387. http://dx.doi.org/10.3390/atmos13030387.

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Previous studies have demonstrated the important effects of intraseasonal oscillations in the tropics on the occurrence of extreme-high-temperature events (EHTs), whereas the influence of intraseasonal oscillations in mid-high latitudes on EHTs has been less discussed. In this study, the intraseasonal oscillation of summer extreme high temperatures from 1981 to 2019 in northeast China and its associated atmospheric circulation were studied using conventional statistic methods. The results show that the summer extreme-high-temperature distribution in northeast China is consistent throughout the

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22

Hudson, Debra, Andrew G. Marshall, Yonghong Yin, Oscar Alves, and Harry H. Hendon. "Improving Intraseasonal Prediction with a New Ensemble Generation Strategy." Monthly Weather Review 141, no. 12 (2013): 4429–49. http://dx.doi.org/10.1175/mwr-d-13-00059.1.

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Abstract The Australian Bureau of Meteorology has recently enhanced its capability to make coupled model forecasts of intraseasonal climate variations. The Predictive Ocean Atmosphere Model for Australia (POAMA, version 2) seasonal prediction forecast system in operations prior to March 2013, designated P2-S, was not designed for intraseasonal forecasting and has deficiencies in this regard. Most notably, the forecasts were only initialized on the 1st and 15th of each month, and the growth of the ensemble spread in the first 30 days of the forecasts was too slow to be useful on intraseasonal t

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23

Alessandri, Andrea, Andrea Borrelli, Annalisa Cherchi, et al. "Prediction of Indian Summer Monsoon Onset Using Dynamical Subseasonal Forecasts: Effects of Realistic Initialization of the Atmosphere." Monthly Weather Review 143, no. 3 (2015): 778–93. http://dx.doi.org/10.1175/mwr-d-14-00187.1.

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Abstract Ensembles of retrospective 2-month dynamical forecasts initiated on 1 May are used to predict the onset of the Indian summer monsoon (ISM) for the period 1989–2005. The subseasonal predictions (SSPs) are based on a coupled general circulation model and recently they have been upgraded by the realistic initialization of the atmosphere with initial conditions taken from reanalysis. Two objective large-scale methods based on dynamical-circulation and hydrological indices are applied to detect the ISM onset. The SSPs show some skill in forecasting earlier-than-normal ISM onsets, while the

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24

Alaka, Ghassan J., and Eric D. Maloney. "Internal Intraseasonal Variability of the West African Monsoon in WRF." Journal of Climate 30, no. 15 (2017): 5815–33. http://dx.doi.org/10.1175/jcli-d-16-0750.1.

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The West African monsoon (WAM) and its landmark features, which include African easterly waves (AEWs) and the African easterly jet (AEJ), exhibit significant intraseasonal variability in boreal summer. However, the degree to which this variability is modulated by external large-scale phenomena, such as the Madden–Julian oscillation (MJO), remains unclear. The Weather Research and Forecasting (WRF) Model is employed to diagnose the importance of the MJO and other external influences for the intraseasonal variability of the WAM and associated AEW energetics by removing 30–90-day signals from ini

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25

Alexander, Romeo, Zhizhen Zhao, Eniko Székely, and Dimitrios Giannakis. "Kernel Analog Forecasting of Tropical Intraseasonal Oscillations." Journal of the Atmospheric Sciences 74, no. 4 (2017): 1321–42. http://dx.doi.org/10.1175/jas-d-16-0147.1.

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Abstract This paper presents the results of forecasting the Madden–Julian oscillation (MJO) and boreal summer intraseasonal oscillation (BSISO) through the use of satellite-obtained global brightness temperature data with a recently developed nonparametric empirical method. This new method, referred to as kernel analog forecasting, adopts specific indices extracted using the technique of nonlinear Laplacian spectral analysis as baseline definitions of the intraseasonal oscillations of interest, which are then extended into forecasts through an iterated weighted averaging scheme that exploits t

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26

Rimbu, N., G. Lohmann, G. König-Langlo, C. Necula, and M. Ionita. "Daily to intraseasonal oscillations at Antarctic research station Neumayer." Antarctic Science 26, no. 2 (2013): 193–204. http://dx.doi.org/10.1017/s0954102013000540.

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AbstractHigh temporal resolution (three hours) records of temperature, wind speed and sea level pressure recorded at Antarctic research station Neumayer (70°S, 8°W) during 1982–2011 are analysed to identify oscillations from daily to intraseasonal timescales. The diurnal cycle dominates the three-hourly time series of temperature during the Antarctic summer and is almost absent during winter. In contrast, the three-hourly time series of wind speed and sea level pressure show a weak diurnal cycle. The dominant pattern of the intraseasonal variability of these quantities, which captures the out-

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27

Wang, Shuguang, and Adam H. Sobel. "A Unified Moisture Mode Theory for the Madden–Julian Oscillation and the Boreal Summer Intraseasonal Oscillation." Journal of Climate 35, no. 4 (2022): 1267–91. http://dx.doi.org/10.1175/jcli-d-21-0361.1.

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Abstract The Madden–Julian oscillation (MJO) and the boreal summer intraseasonal oscillation (BSISO) are fundamental modes of variability in the tropical atmosphere on the intraseasonal time scale. A linear model, using a moist shallow water equation set on an equatorial beta plane, is developed to provide a unified treatment of the two modes and to understand their growth and propagation over the Indian Ocean. Moisture is assumed to increase linearly with longitude and to decrease quadratically with latitude. Solutions are obtained through linear stability analysis, considering the gravest (n

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Wu, Qigang. "Forcing of Tropical SST Anomalies by Wintertime AO-like Variability." Journal of Climate 23, no. 10 (2010): 2465–72. http://dx.doi.org/10.1175/2009jcli2749.1.

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Abstract A lagged maximum covariance analysis (MCA) is utilized to investigate large-scale patterns of covariability between sea surface temperature (SST) in the global tropics and 500-mb geopotential height (Z500) in the extratropics at monthly to interannual time scales distinct from the conventional El Niño–Southern Oscillation (ENSO) signal during the Northern Hemisphere (NH) winter. The first MCA mode indicates a strong impact of tropical SST anomalies associated with ENSO on the extratropical atmosphere. The second MCA mode corresponds with coupling between Arctic Oscillation (AO)-like a

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29

Wang, Shuguang. "A Precipitation-Based Index for Tropical Intraseasonal Oscillations." Journal of Climate 33, no. 3 (2020): 805–23. http://dx.doi.org/10.1175/jcli-d-19-0019.1.

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AbstractCharacteristic patterns of precipitation-associated tropical intraseasonal oscillations, including the Madden–Julian oscillation (MJO) and boreal summer intraseasonal oscillation (BSISO), are identified using local empirical orthogonal function (EOF) analysis of the Tropical Rainfall Measuring Mission (TRMM) precipitation data as a function of the day of the year. The explained variances of the EOF analysis show two peaks across the year: one in the middle of the boreal winter corresponding to the MJO and the other in the middle of summer corresponding to the BSISO. Comparing the fract

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Sandery, Paul A., Terence J. O’Kane, Vassili Kitsios, and Pavel Sakov. "Climate Model State Estimation Using Variants of EnKF Coupled Data Assimilation." Monthly Weather Review 148, no. 6 (2020): 2411–31. http://dx.doi.org/10.1175/mwr-d-18-0443.1.

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Abstract Data assimilation (DA) experiments are performed to assess impacts of observations in climate model state estimation through the cross-domain ocean–atmosphere forecast error covariances (cross covariances). Specifically, we explore strongly and weakly coupled DA variants using the Climate Analysis Forecast Ensemble (CAFE) system. This comprises 96 ensemble members of the Geophysical Fluid Dynamics Laboratory (GFDL) CM2.1 climate model assimilating observational data from the ocean, atmosphere, and sea ice realms with the ensemble Kalman filter (EnKF). Sequences of atmospheric synoptic

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Bony, Sandrine, and Kerry A. Emanuel. "On the Role of Moist Processes in Tropical Intraseasonal Variability: Cloud–Radiation and Moisture–Convection Feedbacks." Journal of the Atmospheric Sciences 62, no. 8 (2005): 2770–89. http://dx.doi.org/10.1175/jas3506.1.

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Abstract Recent observations of the tropical atmosphere reveal large variations of water vapor and clouds at intraseasonal time scales. This study investigates the role of these variations in the large-scale organization of the tropical atmosphere, and in intraseasonal variability in particular. For this purpose, the influence of feedbacks between moisture (water vapor, clouds), radiation, and convection that affect the growth rate and the phase speed of unstable modes of the tropical atmosphere is investigated. Results from a simple linear model suggest that interactions between moisture and

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Jiang, Xun, and Yuk L. Yung. "Global Patterns of Carbon Dioxide Variability from Satellite Observations." Annual Review of Earth and Planetary Sciences 47, no. 1 (2019): 225–45. http://dx.doi.org/10.1146/annurev-earth-053018-060447.

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Advanced satellite technology has been providing unique observations of global carbon dioxide (CO2) concentrations. These observations have revealed important CO2variability at different timescales and over regional and planetary scales. Satellite CO2retrievals have revealed that stratospheric sudden warming and the Madden-Julian Oscillation can modulate atmospheric CO2concentrations in the mid-troposphere. Atmospheric CO2also demonstrates variability at interannual timescales. In the tropical region, the El Niño–Southern Oscillation and the Tropospheric Biennial Oscillation can change atmosph

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33

Benedict, James J., and David A. Randall. "Structure of the Madden–Julian Oscillation in the Superparameterized CAM." Journal of the Atmospheric Sciences 66, no. 11 (2009): 3277–96. http://dx.doi.org/10.1175/2009jas3030.1.

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Abstract The detailed dynamic and thermodynamic space–time structures of the Madden–Julian oscillation (MJO) as simulated by the superparameterized Community Atmosphere Model version 3.0 (SP-CAM) are analyzed. Superparameterization involves substituting conventional boundary layer, moist convection, and cloud parameterizations with a configuration of cloud-resolving models (CRMs) embedded in each general circulation model (GCM) grid cell. Unlike most GCMs that implement conventional parameterizations, the SP-CAM displays robust atmospheric variability on intraseasonal space and time (30–60 day

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34

Bernie, D. J., S. J. Woolnough, J. M. Slingo, and E. Guilyardi. "Modeling Diurnal and Intraseasonal Variability of the Ocean Mixed Layer." Journal of Climate 18, no. 8 (2005): 1190–202. http://dx.doi.org/10.1175/jcli3319.1.

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Abstract The intraseasonal variability of SST associated with the passage of the Madden–Julian oscillation (MJO) is well documented; yet coupled model integrations generally underpredict the magnitude of this SST variability. Observations from the Improved Meteorological Instrument (IMET) mooring in the western Pacific during the intensive observing period (IOP) of the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) showed a large diurnal signal in SST that is modulated by the passage of the MJO. In this study, observations from the IOP of the TOGA CO

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35

Gerber, Edwin P., and Geoffrey K. Vallis. "On the Zonal Structure of the North Atlantic Oscillation and Annular Modes." Journal of the Atmospheric Sciences 66, no. 2 (2009): 332–52. http://dx.doi.org/10.1175/2008jas2682.1.

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Abstract The zonal structure and dynamics of the dipolar patterns of intraseasonal variability in the extratropical atmosphere—namely, the North Atlantic Oscillation (NAO) and the so-called annular modes of variability—are investigated in an idealized general circulation model. Particular attention is focused on the relationships linking the zonal structure of the stationary waves, synoptic variability (i.e., the storm tracks), and the zonal structure of the patterns of intraseasonal variability. Large-scale topography and diabatic anomalies are introduced to modify and concentrate the synopti

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36

Rahaman, Hasibur, G. N. Bharath Raj, and M. Ravichandran. "Coupled Ocean–Atmosphere Summer Intraseasonal Oscillation over the Bay of Bengal." Pure and Applied Geophysics 176, no. 12 (2019): 5415–29. http://dx.doi.org/10.1007/s00024-019-02275-4.

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Bellon, Gilles. "Monsoon intraseasonal oscillation and land–atmosphere interaction in an idealized model." Climate Dynamics 37, no. 5-6 (2010): 1081–96. http://dx.doi.org/10.1007/s00382-010-0893-0.

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Subramanian, Aneesh C., Markus Jochum, Arthur J. Miller, Raghu Murtugudde, Richard B. Neale, and Duane E. Waliser. "The Madden–Julian Oscillation in CCSM4." Journal of Climate 24, no. 24 (2011): 6261–82. http://dx.doi.org/10.1175/jcli-d-11-00031.1.

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Abstract This study assesses the ability of the Community Climate System Model, version 4 (CCSM4) to represent the Madden–Julian oscillation (MJO), the dominant mode of intraseasonal variability in the tropical atmosphere. The U.S. Climate Variability and Predictability (CLIVAR) MJO Working Group’s prescribed diagnostic tests are used to evaluate the model’s mean state, variance, and wavenumber–frequency characteristics in a 20-yr simulation of the intraseasonal variability in zonal winds at 850 hPa (U850) and 200 hPa (U200), and outgoing longwave radiation (OLR). Unlike its predecessor, CCSM4

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39

Wang, Wanqiu, Mingyue Chen, and Arun Kumar. "Impacts of Ocean Surface on the Northward Propagation of the Boreal Summer Intraseasonal Oscillation in the NCEP Climate Forecast System." Journal of Climate 22, no. 24 (2009): 6561–76. http://dx.doi.org/10.1175/2009jcli3007.1.

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Abstract Impacts of the ocean surface on the representation of the northward-propagating boreal summer intraseasonal oscillation (NPBSISO) over the Indian monsoon region are analyzed using the National Centers for Environmental Prediction (NCEP) coupled atmosphere–ocean Climate Forecast System (CFS) and its atmospheric component, the NCEP Global Forecast System (GFS). Analyses are based on forecasts of five strong NPBSISO events during June–September 2005–07. The inclusion of an interactive ocean in the model is found to be necessary to maintain the observed NPBSISO. The atmosphere-only GFS is

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40

Lebsock, Matthew D., Christian Kummerow, and Graeme L. Stephens. "An Observed Tropical Oceanic Radiative–Convective Cloud Feedback." Journal of Climate 23, no. 8 (2010): 2065–78. http://dx.doi.org/10.1175/2009jcli3091.1.

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Abstract Anomalies of precipitation, cloud, thermodynamic, and radiation variables are analyzed on the large spatial scale defined by the tropical oceans. In particular, relationships between the mean tropical oceanic precipitation anomaly and radiative anomalies are examined. It is found that tropical mean precipitation is well correlated with cloud properties and radiative fields. In particular, the tropical mean precipitation anomaly is positively correlated with the top of the atmosphere reflected shortwave anomaly and negatively correlated with the emitted longwave anomaly. The tropical m

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41

Rajendran, K., and A. Kitoh. "Modulation of Tropical Intraseasonal Oscillations by Ocean–Atmosphere Coupling." Journal of Climate 19, no. 3 (2006): 366–91. http://dx.doi.org/10.1175/jcli3638.1.

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Abstract The impact of ocean–atmosphere coupling on the structure and propagation characteristics of 30–60-day tropical intraseasonal oscillations (TISOs) is investigated by analyzing long-term simulations of the Meteorological Research Institute coupled general circulation model (CGCM) and its stand-alone atmospheric general circulation model (AGCM) version forced with SSTs derived from the CGCM and comparing them with recent observation datasets [Global Precipitation Climatology Project (GPCP) precipitation, 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40

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42

Bürger, Gerd. "Intraseasonal Oscillation Indices from Complex EOFs." Journal of Climate 34, no. 1 (2021): 107–22. http://dx.doi.org/10.1175/jcli-d-20-0427.1.

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AbstractIndices of oscillatory behavior are conveniently obtained by projecting the fields in question into a phase space of a few (mostly just two) dimensions; empirical orthogonal functions (EOFs) or other, more dynamical, modes are typically used for the projection. If sufficiently coherent and in quadrature, the projected variables simply describe a rotating vector in the phase space, which then serves as the basis for predictions. Using the boreal summer intraseasonal oscillation (BSISO) as a test case, an alternative procedure is introduced: it augments the original fields with their Hil

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43

Zhao, Haikun, Ying Lu, Xianan Jiang, Philip J. Klotzbach, Liguang Wu, and Jian Cao. "A Statistical Intraseasonal Prediction Model of Extended Boreal Summer Western North Pacific Tropical Cyclone Genesis." Journal of Climate 35, no. 8 (2022): 2459–78. http://dx.doi.org/10.1175/jcli-d-21-0110.1.

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Abstract An L2 regularized logistic regression model is developed in this study to predict weekly tropical cyclone (TC) genesis over the western North Pacific (WNP) Ocean and subregions of the WNP including the South China Sea (SCS), the western WNP (WWNP), and the eastern WNP (EWNP). The potential predictors for the TC genesis model include a time-varying TC genesis climatology, the Madden–Julian oscillation (MJO), the quasi-biweekly oscillation (QBWO), and ENSO. The relative importance of the predictors in a constructed L2 regression model is justified by a forward stepwise selection procedu

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44

Maloney, Eric D. "The Moist Static Energy Budget of a Composite Tropical Intraseasonal Oscillation in a Climate Model." Journal of Climate 22, no. 3 (2009): 711–29. http://dx.doi.org/10.1175/2008jcli2542.1.

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Abstract The intraseasonal moist static energy (MSE) budget is analyzed in a climate model that produces realistic eastward-propagating tropical intraseasonal wind and precipitation variability. Consistent with the recharge–discharge paradigm for tropical intraseasonal variability, a buildup of column-integrated MSE occurs within low-level easterly anomalies in advance of intraseasonal precipitation, and a discharge of MSE occurs during and after precipitation when westerly anomalies occur. The strongest MSE anomalies peak in the lower troposphere and are, primarily, regulated by specific humi

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45

Gualdi, Silvio, Antonio Navarra, and Martin Fischer. "The tropical intraseasonal oscillation in a coupled ocean-atmosphere general circulation model." Geophysical Research Letters 26, no. 19 (1999): 2973–76. http://dx.doi.org/10.1029/1999gl010414.

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46

Inness, P. M., and D. Gregory. "Aspects of the intraseasonal oscillation simulated by the Hadley Centre Atmosphere Model." Climate Dynamics 13, no. 6 (1997): 441–58. http://dx.doi.org/10.1007/s003820050176.

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47

Fu, Xiouhua, and Bin Wang. "The Boreal-Summer Intraseasonal Oscillations Simulated in a Hybrid Coupled Atmosphere–Ocean Model*." Monthly Weather Review 132, no. 11 (2004): 2628–49. http://dx.doi.org/10.1175/mwr2811.1.

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Abstract The boreal-summer intraseasonal oscillation (BSISO) simulated by an atmosphere–ocean coupled model is validated with the long-term observations [Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP) rainfall, ECMWF analysis, and Reynolds' SST]. This validation focuses on the three-dimensional water vapor cycle associated with the BSISO and its interaction with underlying sea surface. The advantages of a coupled approach over stand-alone atmospheric approaches on the simulation of the BSISO are revealed through an intercomparison between a coupled run and two atmosphe

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48

Frederiksen, Jorgen S., and Hai Lin. "Tropical–Extratropical Interactions of Intraseasonal Oscillations." Journal of the Atmospheric Sciences 70, no. 10 (2013): 3180–97. http://dx.doi.org/10.1175/jas-d-12-0302.1.

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Abstract Tropical–extratropical interactions of intraseasonal oscillations (ISOs), based on 30 years (1979–2009) of northern winter observations and theory, are compared. The phase relationships between the tropical signal of the leading theoretical ISO for a January 1979 basic state and the development of Pacific–North America (PNA)-like and North Atlantic Oscillation (NAO) teleconnection patterns are found to compare closely with those for the observed Madden–Julian oscillation (MJO). For both observations and theory positive NAO occurs 5–15 days after MJO convection [negative outgoing longw

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Zhang, Pengfei, Guoping Li, Xiouhua Fu, Yimin Liu, and Laifang Li. "Clustering of Tibetan Plateau Vortices by 10–30-Day Intraseasonal Oscillation*." Monthly Weather Review 142, no. 1 (2014): 290–300. http://dx.doi.org/10.1175/mwr-d-13-00137.1.

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Abstract Tibetan Plateau (TP) vortices and the related 10–30-day intraseasonal oscillation in May–September 1998 are analyzed using the twice-daily 500-hPa synoptic weather maps, multiple reanalysis datasets, and satellite-retrieved brightness temperature. During the analysis period, distinctively active and suppressed periods of TP vortices genesis are noticed. In 1998, nine active periods of TP vortices occurred, which were largely clustered by the cyclonic circulations associated with the intraseasonal oscillation of 500-hPa relative vorticity. In addition to the well-recognized 30–60-day o

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50

Martin, Elinor R., and Courtney Schumacher. "Modulation of Caribbean Precipitation by the Madden–Julian Oscillation." Journal of Climate 24, no. 3 (2011): 813–24. http://dx.doi.org/10.1175/2010jcli3773.1.

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Abstract Based on 12 years of daily satellite precipitation data and reanalysis winds, intraseasonal (30–90 days) variability in Caribbean precipitation is linked to phases of the Madden–Julian oscillation (MJO). Intraseasonal variability is largest during September–November (SON), but some modulation of precipitation by the MJO appears throughout all seasons. Precipitation anomalies up to 50% above (below) the annual mean are observed in phases 1 and 2 (5 and 6) of the MJO. The changes in Caribbean precipitation associated with the MJO are shown to be related to changes in the low-level (925

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