Diagnosing the column-integrated moist static energy budget associated with the northward-propagating boreal summer intraseasonal oscillation

2020 ◽  
Vol 54 (11-12) ◽  
pp. 4711-4732
Author(s):  
Tianyi Wang ◽  
Tim Li
Keyword(s):  
Energy Budget ◽  
Intraseasonal Oscillation ◽  
Boreal Summer ◽  
Moist Static Energy ◽  
Boreal Summer Intraseasonal Oscillation ◽  
Moist Static Energy Budget ◽  
Static Energy

scholarly journals Moist Static Energy Budget of the MJO during DYNAMO

2014 ◽  
Vol 71 (11) ◽  
pp. 4276-4291 ◽  
Author(s):  
Adam Sobel ◽  
Shuguang Wang ◽  
Daehyun Kim
Keyword(s):  
Indian Ocean ◽  
Energy Budget ◽  
Active Phase ◽  
Turbulent Fluxes ◽  
Radiative Heating ◽  
Moist Static Energy ◽  
Horizontal Advection ◽  
Vertical Advection ◽  
Moist Static Energy Budget ◽  
Static Energy

Abstract The authors analyze the column-integrated moist static energy budget over the region of the tropical Indian Ocean covered by the sounding array during the Cooperative Indian Ocean Experiment on Intraseasonal Variability in the Year 2011 (CINDY2011)/Dynamics of the Madden–Julian Oscillation (DYNAMO) field experiment in late 2011. The analysis is performed using data from the sounding array complemented by additional observational datasets for surface turbulent fluxes and atmospheric radiative heating. The entire analysis is repeated using the ECMWF Interim Re-Analysis (ERA-Interim). The roles of surface turbulent fluxes, radiative heating, and advection are quantified for the two MJO events that occurred in October and November using the sounding data; a third event in December is also studied in the ERA-Interim data. These results are consistent with the view that the MJO’s moist static energy anomalies grow and are sustained to a significant extent by the radiative feedbacks associated with MJO water vapor and cloud anomalies and that propagation of the MJO is associated with advection of moist static energy. Both horizontal and vertical advection appear to play significant roles in the events studied here. Horizontal advection strongly moistens the atmosphere during the buildup to the active phase of the October event when the low-level winds switch from westerly to easterly. Horizontal advection strongly dries the atmosphere in the wake of the active phases of the November and December events as the westerlies associated with off-equatorial cyclonic gyres bring subtropical dry air into the convective region from the west and north. Vertical advection provides relative moistening ahead of the active phase and drying behind it, associated with an increase of the normalized gross moist stability.

scholarly journals Dr. Yanai’s Contributions to the Discovery and Science of the MJO

2016 ◽  
Vol 56 ◽  
pp. 4.1-4.18 ◽  
Author(s):  
Eric D. Maloney ◽  
Chidong Zhang
Keyword(s):  
Kinetic Energy ◽  
Potential Energy ◽  
Energy Budget ◽  
Momentum Transport ◽  
Energy Budgets ◽  
Equatorial Waves ◽  
Madden Julian Oscillation ◽  
Moist Static Energy ◽  
Moist Static Energy Budget ◽  
Static Energy

Abstract This chapter reviews Professor Michio Yanai’s contributions to the discovery and science of the Madden–Julian oscillation (MJO). Professor Yanai’s work on equatorial waves played an inspirational role in the MJO discovery by Roland Madden and Paul Julian. Professor Yanai also made direct and important contributions to MJO research. These research contributions include work on the vertically integrated moist static energy budget, cumulus momentum transport, eddy available potential energy and eddy kinetic energy budgets, and tropical–extratropical interactions. Finally, Professor Yanai left a legacy through his students, who continue to push the bounds of MJO research.

scholarly journals Diagnosing ocean feedbacks to the MJO: SST-modulated surface fluxes and the moist static energy budget

2016 ◽  
Vol 121 (14) ◽  
pp. 8350-8373 ◽  
Author(s):  
Charlotte A. DeMott ◽  
James J. Benedict ◽  
Nicholas P. Klingaman ◽  
Steven J. Woolnough ◽  
David A. Randall
Keyword(s):  
Energy Budget ◽  
Surface Fluxes ◽  
Moist Static Energy ◽  
Moist Static Energy Budget ◽  
Static Energy

scholarly journals Observational study on boundary-layer moist static energy budget over the tropical western Pacific and its variability associated with boreal summer intraseasonal oscillation

2021 ◽  
Keyword(s):  
Boundary Layer ◽  
Mass Flux ◽  
Intraseasonal Oscillation ◽  
Boreal Summer ◽  
Active Period ◽  
Convective Activity ◽  
Moist Static Energy ◽  
Tropical Western Pacific ◽  
Mass Fluxes ◽  
Static Energy

Abstract Moist static energy (MSE) in the atmospheric boundary layer (BL) is one of the essential parameters determining convective activity over tropical oceanic areas. It is thus important to quantitatively understand BL MSE budget processes and their variability. Among these processes, only few studies have evaluated contributions of entrainment across the BL top and convective downdraft. This study aims to estimate these contributions by analyzing upper-air and surface meteorological observations obtained using Research Vessel Mirai over the tropical western Pacific in June 2008. Daily-mean downward mass fluxes due to the two processes are calculated using BL dry static energy and moisture budget equations under the BL quasi-equilibrium approximation. Estimated mass fluxes are consistent with convective activity observed by a shipborne weather radar and a ceilometer. This study further examines how the mass fluxes and budget processes are modulated when a convectively active phase of boreal summer intraseasonal oscillation arrives at the observation area in the second half of the month. It is found that, while the contribution of the entrainment does not change significantly, the convective downdraft mass flux and the resultant BL MSE export increase 5 times and 3 times, respectively, in the convectively active period compared with those in the pre-active period. Furthermore, ~1/4 of the increase in the convective downdraft mass flux is attributable to the increase in MSE of convective downdraft air associated with mid-tropospheric moistening.

scholarly journals Assessment of the Ability of CMIP6 GCMS to Simulate the Boreal Summer Intraseasonal Oscillation Over Southeast Asia

2021 ◽  
Vol 3 ◽  
Author(s):  
Abayomi A. Abatan ◽  
Matthew Collins ◽  
Mukand S. Babel ◽  
Dibesh Khadka ◽  
Yenushi K. De Silva
Keyword(s):  
Southeast Asia ◽  
Asian Summer Monsoon ◽  
Intraseasonal Variability ◽  
Intraseasonal Oscillation ◽  
Boreal Summer ◽  
Study Region ◽  
Boreal Summer Intraseasonal Oscillation ◽  
Good Ability ◽  
Wide Range ◽  
Static Energy

The boreal summer intraseasonal oscillation (BSISO) plays an important role in the intraseasonal variability of a wide range of weather and climate phenomena across the region modulated by the Asian summer monsoon system. This study evaluates the strengths and weaknesses of 19 Coupled Model Intercomparison Project Phase 6 (CMIP6) models to reproduce the basic characteristics of BSISO. The models' rainfall and largescale climates are evaluated against GPCP and ERA5 reanalysis datasets. All models exhibit intraseasonal variance of 30–60-day bandpass-filtered rainfall and convection anomalies but with diverse magnitude when compared with observations. The CMIP6 models capture the structure of the eastward/northward propagating BSISO at wavenumbers 1 and 2 but struggle with the intensity and location of the convection signal. Nevertheless, the models show a good ability to simulate the power spectrum and coherence squared of the principal components of the combined empirical orthogonal function (CEOF) and can capture the distinction between the CEOF modes and red noise. Also, the result shows that some CMIP6 models can capture the coherent intraseasonal propagating features of the BSISO as indicated by the Hovmöller diagram. The contribution of latent static energy to the relationship between the moist static energy and intraseasonal rainfall over Southeast Asia is also simulated by the selected models, albeit the signals are weak. Taking together, some of the CMIP6 models can represent the summertime climate and intraseasonal variability over the study region, and can also simulate the propagating features of BSISO, but biases still exist.

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