Extraction of the fault information in recognizing and partitioning the spatial structure of basin group in the south of north of China

2005 ◽  
Author(s):  
Kai Xu ◽  
Chonglong Wu ◽  
Chunfang Kong
Keyword(s):  
Spatial Structure ◽  
The South ◽  
Fault Information

scholarly journals Shipborne And Ground-Based Lidar Monitoring of the Atmosphere Over the Lake Baikal in 2018

2020 ◽  
Vol 237 ◽  
pp. 02032
Author(s):  
Yurii S. Balin ◽  
Marina G. Klemasheva ◽  
Grigorii P. Kokhanenko ◽  
Sergey V. Nasonov ◽  
Ioganes E. Penner
Keyword(s):  
Spatial Structure ◽  
Lake Baikal ◽  
Forest Fires ◽  
Atmospheric Pollution ◽  
Atmospheric Aerosol ◽  
Baikal Region ◽  
Physical Models ◽  
The South ◽  
Ground Based Lidar ◽  
Background Area

The paper presents the results of studies aimed at the analysis and assessment of atmospheric pollution over the Lake Baikal in the summer. This information is necessary to create physical models of the formation and transfer of atmospheric aerosol fields, taking into account the physical and geographical features of the Baikal region. Measurements were carried out by a lidar «LOSA-A2» installed on the scientific-research vessel «Academician V.A. Koptyug». The vessel’s route passed along the South, Middle and Northern Baikal, from July 15, 2018 to July 26, 2018. At the same time, observations were conducted using lidar «LOSA-M2». It was located in the background area at Boyarsky stationary site (51.84° N, 106.06° E), in the south-eastern part of the lake. The results of changes in the spatial structure of atmospheric aerosol fields in background conditions and during forest fires are shown.

scholarly journals Deep Circulation in the South China Sea Simulated in a Regional Model

2019 ◽  
Author(s):  
Xiaolong Zhao ◽  
Chun Zhou ◽  
Xiaobiao Xu ◽  
Ruijie Ye ◽  
Jiwei Tian ◽  
...  
Keyword(s):  
South China Sea ◽  
Spatial Structure ◽  
South China ◽  
The South China Sea ◽  
Northwest Pacific ◽  
The South ◽  
China Sea ◽  
Deep Circulation ◽  
Mixing Parameters ◽  
Circulation In The Scs

Abstract. The South China Sea (SCS) is the largest marginal sea in the northwest Pacific Ocean. In this study, deep circulation in the SCS is investigated using results from eddy-resolving, regional simulations using the Hybrid Coordinate Ocean Model (HYCOM) verified by continuous current-meter observations. Analysis of these results provides a detailed spatial structure and temporal variability of the deep circulation in the SCS. The major features of the SCS deep circulation are a basin-scale cyclonic gyre and a concentrated deep western boundary current (DWBC). Transport of the DWBC is ∼ 2 Sv at 16.5° N with a width of ∼53 km. Flowing southwestward, the narrow DWBC becomes weaker with a wider range. The model results reveal the existence of 80- to 120-day oscillation in the deep northeastern circulation and the DWBC, which are also the areas with elevated eddy kinetic energy. This intraseasonal oscillation propagates northwestward with a velocity amplitude of ∼ 1.0 to 1.5 cm s-1. The distribution of mixing parameters in the deep SCS plays a role in both spatial structure and volume transport of the deep circulation. Compared with the northern shelf of the SCS with the Luzon Strait, deep circulation in the SCS is more sensitive to the large vertical mixing parameters of the Zhongsha Island Chain area.

scholarly journals Spatial Structure and Intra-Annual Variability of Weddell Sea Front based on the Data of NOAA OISST Reanalysis

2020 ◽  
Author(s):  
Yu. V. Artamonov ◽  
E. A. Skripaleva ◽  
N. V. Nikolsky ◽  
◽  
◽  
...  
Keyword(s):  
Spatial Structure ◽  
Antarctic Peninsula ◽  
Time Lag ◽  
Water Area ◽  
Weddell Sea ◽  
The South ◽  
Orkney Islands ◽  
Bransfield Strait ◽  
South Orkney Islands ◽  
The Antarctic

Based on the NOAA OISST reanalysis data, the spatial structure of the Weddell Sea Front in the climatic field of the sea surface temperature was analyzed and the seasonal variability of front’s characteristics was estimated. The spatial position of the frontal zone in the Weddell Sea was analyzed using distributions of the total horizontal temperature gradient. The characteristics of the front (the position of the gradients' extrema corresponding to the front, their magnitude and temperature on the front axis) were determined for each month on the profiles of meridional and zonal temperature gradients along meridians and parallels with a discreteness of 2.5° of longitude and 0.25° of latitude. It is shown that the interaction of Weddell Sea cold waters, which are transported by currents northward along the Antarctic Peninsula coasts, with the warmer waters of the eastern shelf of the Antarctic Peninsula and the Bransfield Strait surface water causes formation of two branches of the Weddell Sea Front. These branches round from a vast shelf at the Antarctic Peninsula tip and the Joinville archipelago the south and north and are traced further east along the boundaries of the bottom rise located approximately between 62.5S and 64.5S. To the south of the South Orkney Islands shelf, the two branches merge into one front, which follows to the east along the depth dump of the relative shallow between the South Orkney and South Sandwich Islands. In the seasonal cycle of the Weddell Sea Front intensity, a time lag was revealed of the front intensification period in the direction from west to east. In Bransfield Strait the front is most intense in February, between the Antarctic Peninsula tip and the South Orkney Islands – in March, east of the South Orkney Islands – in April. The branch of the Weddell Sea Front off the northeastern of the Antarctic Peninsula coasts intensifies in November – January, in the western part of the water area east of the James Ross and Snow Hill Islands – in January – February.

scholarly journals Simulation of the South Asian Monsoon in a Coupled Model with an Embedded Cloud-Resolving Model

2014 ◽  
Vol 27 (3) ◽  
pp. 1121-1142 ◽  
Author(s):  
V. Krishnamurthy ◽  
Cristiana Stan ◽  
David A. Randall ◽  
Ravi P. Shukla ◽  
James L. Kinter
Keyword(s):  
Spatial Structure ◽  
South Asian ◽  
Asian Monsoon ◽  
South Asian Monsoon ◽  
The South ◽  
Modes Of Variability ◽  
Model Version ◽  
Northward Propagation ◽  
Intraseasonal Oscillations ◽  
Cloud Resolving Model

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 atmospheric El Niño–Southern Oscillation (ENSO) mode, although with regular biennial variability. The dominant modes of variability extracted from daily anomalies of outgoing longwave radiation, precipitation, and low-level horizontal wind in SP-CCSM consist of two intraseasonal oscillations and two seasonally persisting modes, in good agreement with observation. The most significant observed features of the intraseasonal oscillations correctly simulated by the SP-CCSM are the northward propagation of convection, precipitation, and circulation as well as the eastward and westward propagations. The observed spatial structure and the periods of the oscillations are also well captured by the SP-CCSM, although with lesser magnitude. The SP-CCSM is able to simulate the chaotic variability and spatial structure of the seasonally persisting atmospheric ENSO mode, while the evidence for the Indian Ocean dipole mode is inconclusive. The SP-CAM3 simulates two intraseasonal oscillations and the atmospheric ENSO mode. However, the intraseasonal oscillations in SP-CAM3 do not show northward propagation while their periods and spatial structures are not comparable to observation. The results of this study indicate the necessity of coupled models with sufficiently realistic cloud parameterizations.

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