Search Results

You are looking at 1 - 10 of 27 items for :

  • Years of the Maritime Continent x
  • Refine by Access: All Content x
Clear All
Marvin Xiang Ce Seow, Yushi Morioka, and Tomoki Tozuka

) and (c) are the input data for the MEOF analysis. Covariances between unscaled first PC time series with NDJ (d) net shortwave radiation, (e) latent heat flux, and (f) horizontal advection and surface oceanic current. (g) First mode PC time series, with dashed lines indicating the one standard deviation thresholds and blue (red) solid circles indicating strong (weak) CT years. At the same time, the winter monsoon is strongly modulated by various tropical remote forcings, such as ENSO ( Wang et al

Restricted access
Ya Yang, Xiang Li, Jing Wang, and Dongliang Yuan

climatological wind stress was averaged over the entire time period of 2007–18. d. The LICOM ocean model The LASG/IAP Climate Ocean Model (LICOM) version 1.0 developed by the Institute of Atmosphere Physics of the Chinese Academy of Sciences was used to evaluate the influence of equatorial waves on the NESC. The model has a horizontal resolution of 0.5° latitude × 0.5° longitude and 30 vertical levels of varying thickness from 12.5 to 5319.1 m. A 900-yr spinup was forced with the climatological forcing of

Free access
Arun Kumar, Jieshun Zhu, and Wanqiu Wang

.5460.2002 McPhaden , M. J. , X. Zhang , H. H. Hendon , and M. C. Wheeler , 2006 : Large scale dynamics and MJO forcing of ENSO variability . Geophys. Res. Lett. , 33 , L16702 , . 10.1029/2006GL026786 Moore , R. W. , O. Martius , and T. Spengler , 2010 : The modulation of the subtropical and extratropical atmosphere in the Pacific basin in response to the Madden–Julian oscillation . Mon. Wea. Rev. , 138 , 2761 – 2779 ,

Restricted access
Daehyun Kang, Daehyun Kim, Min-Seop Ahn, and Soon-Il An

external forcing to the MJO. In the next section, we compare MJO propagation characteristics between the high- and low-MMG years. If a higher mean MMG indeed provides a favorable condition for MJO propagation, one would expect a smoother, more coherent MJO propagation through the MC in the high-MMG years than in the low-MMG years. c. MMG as a key modulator of MJO propagation over the MC To examine MJO propagation characteristics, we first compared the time evolution of an OLR-based MJO index (OMI

Restricted access
Lei Zhou, Ruomei Ruan, and Raghu Murtugudde

terms in the dry static energy (DSE) budget at the intraseasonal time scales [Eq. (3) ], averaged between day 10 and day 20 for the detoured MJOs: (a) ∂⟨ s ⟩′/∂ t ; (b) −⟨∇ H ( u H s )⟩′; (c) −⟨∂( ωs )′/∂ p ⟩; (d) LP′; (e) intraseasonal sensible heat flux anomalies; and (f) the residual term including radiative forcing ⁡ ( Q R ′ ) . The unit is 10 2 kg s −3 . Fig . 9. Major terms of DSE advection in Eq. (4) , averaged between day 10 and day 20 for the detoured MJOs. The unit is 10 2 kg s −3

Restricted access
Yuntao Wei and Zhaoxia Pu

. Atmos. , 119 , 2543 – 2554 , . 10.1002/2013JD020799 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 , . 10.1175/JAS-D-19-0061.1 Ruppert , J. H. , Jr. , X. Chen , and F. Zhang , 2020 : Convectively forced diurnal gravity waves in the Maritime Continent . J. Atmos. Sci. , 77 , 1119 – 1136

Restricted access
James H. Ruppert Jr. and Fuqing Zhang

; namely, their role in forcing and coupling with long-lived gravity waves. Among the most dominant drivers of weather variability in the MC is the Madden–Julian oscillation (MJO; Madden and Julian 1972 ). The MJO is a convectively coupled tropical wave that propagates slowly eastward (~5 m s −1 ) through the Indo-Pacific warm pool region, modulating deep overturning motion and moist convection on intraseasonal time scales ( Zhang 2005 ). Yet since the diurnal cycle is the primary rainfall mechanism

Full access
Jian Ling, Yuqing Zhao, and Guiwan Chen

-propagation speed, and seasonal cycle. Hung et al. (2013) indicated only one GCM was able to simulate the observed eastward propagation of the MJO in phase 5 of the Coupled Model Intercomparison Project (CMIP5). Jiang et al. (2015) showed that only a quarter of the GCMs that participated in the MJO Task Force (MJOTF) ( Moncrieff et al. 2012 ; Waliser et al. 2012 ) and the GEWEX Atmospheric System Study (GASS) ( Petch et al. 2011 ; we refer to this by the abbreviation MJOTF/GASS in this study) could produce

Full access
Claire L. Vincent and Todd P. Lane

maintain consistency with observed intraseasonal variability, spectral nudging toward ERA-Interim was performed for the 12-km domain only for wavelengths longer than 1000 km above the boundary layer, with an inverse nudging time scale of 0.0003 s −1 for all nudged variables. Liu et al. (2012) showed that spectral nudging achieved a better balance between maintaining consistency with large-scale forcing while allowing smaller-scale variance to develop than grid nudging, and Vincent and Hahmann (2015

Full access
Ming Feng, Yongliang Duan, Susan Wijffels, Je-Yuan Hsu, Chao Li, Huiwu Wang, Yang Yang, Hong Shen, Jianjun Liu, Chunlin Ning, and Weidong Yu

using fast ocean profiling platforms to resolve the very near-surface ocean temperature structures, as well as the key atmospheric variables such as humidity, air temperature, vector winds, and radiation parameters; such measurements in the region are unprecedented, to assess the upper-ocean response to the MJO forcing in the Indonesian–Australian Basin as compared to other regions in the Indian Ocean. The data will be used to understand the coupled model performance in capturing the scale, strength

Full access