Results 11 to 20 of about 2,065 (202)

The variations in the East Asian summer monsoon over the past 3 kyrs and the controlling factors

open access: yesScientific Reports, 2019
The mechanisms driving the variations in the centennial-scale East Asian summer monsoon (EASM) remain unclear. Here, we use the δ18O records from adult ostracode shells to reconstruct the EASM variations over the last 3 kyrs in southwestern Japan.
Katsura Yamada   +3 more
doaj   +2 more sources

A tree-ring δ18O based reconstruction of East Asia summer monsoon over the past two centuries.

open access: yesPLoS ONE, 2020
The East Asian summer monsoon (EASM) exhibits considerable decadal variations since the late 20th century. Efforts to examine long-term behaviors and dynamics of the EASM are impeded largely due to the shortness of instrumental meteorological records. So
Dai Chen   +5 more
doaj   +2 more sources

Numerical Simulation of 3D Density Flow by an Improved EASM Model

open access: yesProcedia Environmental Sciences, 2011
AbstractReynolds stress turbulence models are still an effective method to solve thermal density flow in reservoir. Presently, these turbulence models have extensive research and play an important role in the project. However, the pursuit of a more general, economic and accurate Reynolds stress model is still necessary for buoyant turbulent flow.
Xing, L.H., Huang, G.B., Yan, Min
openaire   +2 more sources

Report on the workshop "Organising, Managing and Regulating Martial Arts" during the 21st EASM conference [PDF]

open access: yesRevista de Artes Marciales Asiáticas, 2014
The present report provides a brief account of a workshop entitled “Organising, Managing and Regulating Martial Arts” organised during the 21<sup>st</sup> EASM conference held in Istanbul (Turkey) on September 12<sup>th</sup>, 2013. It was the first scientific workshop with regard to the organisational and policy related aspects
Vertonghen, Jikkemien   +1 more
core   +10 more sources

Report on the workshop "Organising, Managing and Regulating Martial Arts" during the 21st EASM conference

open access: yes, 2013
[ES] El presente informe resume el taller “Organizando, gestionando y regulando las artes marciales”, organizado durante la 21ª conferencia de la EASM celebrada en Estambul (Turquía) el 12 de septiembre de 2013. Este ha sido el primer taller sobre los aspectos políticos y organizativos de las artes marciales (de contacto pleno).
Vertonghen, Jikkemien   +1 more
openaire   +2 more sources

Characterising the interaction of tropical and extratropical air masses controlling East Asian summer monsoon progression using a novel frontal detection approach [PDF]

open access: yesWeather and Climate Dynamics, 2022
The East Asian summer monsoon (EASM) is a complex phenomenon, influenced by both tropical and mid-latitude dynamics and by the presence of the Tibetan Plateau.
A. Volonté   +9 more
doaj   +1 more source

Impacts of the East Asian summer monsoon on interannual variations of summertime surface-layer ozone concentrations over China [PDF]

open access: yesAtmospheric Chemistry and Physics, 2014
We apply a global three-dimensional Goddard Earth Observing System (GEOS) chemical transport model (GEOS-Chem) driven by the NASA/GEOS-4 assimilated meteorological fields to quantify the impacts of the East Asian summer monsoon (EASM) on interannual ...
Y. Yang, H. Liao, J. Li
doaj   +1 more source

Holocene East Asian Summer Monsoon Rainfall Variability in Taiwan

open access: yesFrontiers in Earth Science, 2020
Characterizing the spatiotemporal variability of the East Asian summer monsoon (EASM) advances our understanding of its rhythm, dynamics, and future impacts.
Xiaodong Ding   +3 more
doaj   +1 more source

The values for the characteristics of EASM.

open access: yes, 2022
The values for the characteristics of EASM.
Jae-Hee Lee (727866)   +5 more
core   +1 more source

Using deep learning to predict the East Asian summer monsoon

open access: yesEnvironmental Research Letters, 2021
Accurate prediction of the East Asian summer monsoon (EASM) is beneficial to billions of people’s production and lives. Here, a convolutional neural network (CNN) and transfer learning are used to predict the EASM.
Yuheng Tang, Anmin Duan
doaj   +1 more source

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