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CAS IR Grid
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地理科学与资源研究所 [8]
上海天文台 [3]
地质与地球物理研究所 [2]
长春光学精密机械与物... [2]
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OAI收割 [26]
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期刊论文 [20]
SCI/SSCI论文 [4]
会议论文 [2]
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2023 [1]
2021 [2]
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Geochemist... [1]
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High-precision polar motion prediction using EOP_20_C04 and EAM based on CSLS plus AR and CSLS plus LSTM methods
期刊论文
OAI收割
GEOPHYSICAL JOURNAL INTERNATIONAL, 2023, 卷号: 235, 期号: 2, 页码: 1658-1670
作者:
Kong, Qiaoli
;
Han, Jingwei
;
Wu, Yuanwei
;
Wang, Tianfa
;
Chen, Yanfei
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/12/13
Earth rotation variations
Space geodetic surveys
Non-linear differential equations
Time-series analysis
Human's digital footprints on the Qinghai-Tibet Plateau: Variations during festivals and impacts on nature reserves
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 卷号: 31, 期号: 2, 页码: 179-194
作者:
Du Yunyan
;
Tu Wenna
;
Liang Fuyuan
;
Yi Jiawei
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/06/10
digital footprint
space-time variations
human impact
nature reserve
location request
Human's digital footprints on the Qinghai-Tibet Plateau: Variations during festivals and impacts on nature reserves
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 卷号: 31, 期号: 2, 页码: 179-194
作者:
Du Yunyan
;
Tu Wenna
;
Liang Fuyuan
;
Yi Jiawei
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/06/10
digital footprint
space-time variations
human impact
nature reserve
location request
On the Stationarity of Annual Precipitation over China (1959-2018)
期刊论文
OAI收割
JOURNAL OF HYDROMETEOROLOGY, 2020, 卷号: 21, 期号: 5, 页码: 881-890
作者:
Wang, Hong
;
Sun, Fubao
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/03/23
Precipitation
Climate change
Climate variability
Time series
Variational analysis
Annual variations
On the Stationarity of Annual Precipitation over China (1959-2018)
期刊论文
OAI收割
JOURNAL OF HYDROMETEOROLOGY, 2020, 卷号: 21, 期号: 5, 页码: 881-890
作者:
Wang, Hong
;
Sun, Fubao
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/23
Precipitation
Climate change
Climate variability
Time series
Variational analysis
Annual variations
An underlying clock in the extreme flip-flop state transitions of the black hole transient Swift J1658.2-4242
期刊论文
OAI收割
Astronomy and Astrophysics, 2020, 卷号: 641, 页码: A101
作者:
HXMT
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2022/02/08
accretion
accretion disks
black hole physics
X-rays: binaries
time
Astrophysics - High Energy Astrophysical Phenomena
Abstract:
Aims: Flip-flops are top-hat-like X-ray flux variations, which have been observed in some transient accreting black hole binary systems, and feature simultaneous changes in the spectral hardness and the power density spectrum (PDS). They occur at a crucial time in the evolution of these systems, when the accretion disc emission starts to dominate over coronal emission. Flip-flops remain a poorly understood phenomenon, so we aim to thoroughly investigate them in a system featuring several such transitions.
Methods: Within the multitude of observations of
Swift J1658.2-4242
during its outburst in early 2018, we detected 15 flip-flops, enabling a detailed analysis of their individual properties and the differences between them. We present observations by XMM-Newton, NuSTAR, Astrosat, Swift, Insight-HXMT, INTEGRAL, and ATCA. We analysed their light curves, searched for periodicities, computed their PDSs, and fitted their X-ray spectra, to investigate the source behaviour during flip-flop transitions and how the interval featuring flip-flops differs from the rest of the outburst.
Results: The flip-flops of Swift J1658.2-4242 are of an extreme variety, exhibiting flux differences of up to 77% within 100 s, which is much larger than what has been seen previously. We observed radical changes in the PDS simultaneous with the sharp flux variations, featuring transitions between the quasi-periodic oscillation types C and A, which have never been observed before. Changes in the PDS are delayed, but more rapid than changes in the light curve. Flip-flops occur in two intervals within the outburst, separated by about two weeks in which these phenomena were not seen. Transitions between the two flip-flop states occurred at random integer multiples of a fundamental period of 2.761 ks in the first interval and 2.61 ks in the second. Spectral analysis reveals the high and low flux flip-flop states to be very similar, but distinct from intervals lacking flip-flops. A change of the inner temperature of the accretion disc is responsible for most of the flux difference in the flip-flops. We also highlight the importance of correcting for the influence of the dust scattering halo on the X-ray spectra.
Impacts of hydrologic variations on chemical weathering and solute sources in the Min River basin, Himalayan-Tibetan region
期刊论文
OAI收割
Environmental Science and Pollution Research, 2017, 页码: 19126–19137
作者:
Jun Zhong
;
Si-liang Li
;
Faxiang Tao
;
Hu Ding
;
Jing Liu
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2018/03/28
Chemical Weathering
Chemostatic Behaviour
Dissolution Kinetics
Fluid Transit Time
Himalayan-tibetan Region
Hydrologic Variations
Impacts of hydrologic variations on chemical weathering and solute sources in the Min River basin, Himalayan–Tibetan region
期刊论文
OAI收割
Environmental Science and Pollution Research, 2017, 卷号: 24, 期号: 23, 页码: 19126–19137
作者:
Jun Zhong
;
Si-liang Li
;
Faxiang Tao
;
Hu Ding
;
Jing Liu
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/12/07
Hydrologic Variations
Fluid Transit Time
Chemical Weathering
Chemostatic Behaviour
Dissolution Kinetics
Himalayan–tibetan Region
Non-fragile H-infinity filtering for nonlinear discrete-time delay systems with randomly occurring gain variations
期刊论文
OAI收割
ISA TRANSACTIONS, 2016, 卷号: 63, 页码: 196-203
作者:
Liu, Yajuan
;
Park, Ju H.
;
Guo, Bao-Zhu
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2018/07/30
Nonlinear discrete-time systems
Interval time-delay
Non-fragile filter
Randomly occurring gain variations
Estimation of the free core nutation period by the sliding-window complex least-squares fit method
期刊论文
OAI收割
ADVANCES IN SPACE RESEARCH, 2016, 卷号: 57, 期号: 10, 页码: 2136-2140
作者:
Zhou, Yonghong
;
Zhu, Qiang
;
Salstein, David A.
;
Xu, Xueqing
;
Shi, Si
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2016/09/27
Earth rotation variations
Outer core
Inner core
Time-series analysis