Xiaogong Hu

Prof. Xiaogong Hu

Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2011 in Science China Physics, Mechanics & Astronomy
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Journal Article
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SZShanshi Zhou
Shanshi Zhou
XHXiaogong Hu
Xiaogong Hu
BWBin Wu
Bin Wu
LLLi Liu
Li Liu
WQWeiJing Qu
WeiJing Qu
HTHongLi Tan
HongLi Tan

29 August 2022 in Journal of Geodesy
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Journal Article
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CTChengpan Tang
Chengpan Tang
XHXiaogong Hu
Xiaogong Hu
JCJinping Chen
Jinping Chen
LLLi Liu
Li Liu
SZShanshi Zhou
Shanshi Zhou
JYJianhua Yang
Jianhua Yang

1 May 2006 in Science in China Series D: Earth Sciences
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Journal Article
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XHXiaogong Hu
Xiaogong Hu
JCJianli Chen
Jianli Chen
YZYonghong Zhou
Yonghong Zhou
CHCheng Huang
Cheng Huang
XLXinhao Liao
Xinhao Liao

14 August 2017 in Remote Sensing
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Journal Article
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SNShengnan Ni
Shengnan Ni
JCJianli Chen
Jianli Chen
CWClark Wilson
Clark Wilson
XHXiaogong Hu
Xiaogong Hu
Satellite gravity data from the Gravity Recovery and Climate Experiment (GRACE) provides a quantitative measure of terrestrial water storage (TWS) change at different temporal and spatial scales. In this study, we investigate the ability of GRACE to quantitatively monitor long-term hydrological characteristics over the Lake Volta region. Principal component analysis (PCA) is employed to study temporal and spatial variability of long-term TWS changes. Long-term Lake Volta water storage change appears to be the dominant long-term TWS change signal in the Volta basin. GRACE-derived TWS changes and precipitation variations compiled by the Global Precipitation Climatology Centre (GPCC) are related both temporally and spatially, but spatial leakage attenuates the magnitude of GRACE estimates, especially at small regional scales. Using constrained forward modeling, we successfully remove leakage error in GRACE estimates. After this leakage correction, GRACE-derived Lake Volta water storage changes agree remarkably well with independent estimates from satellite altimetry at interannual and longer time scales. This demonstrates the value of GRACE estimates to monitor and quantify water storage changes in lakes, especially in relatively small regions with complicated topography.

13 March 2020 in Remote Sensing
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LTLu Tang
Lu Tang
JLJin Li
Jin Li
JCJianli Chen
Jianli Chen
SWSongyun Wang
Songyun Wang
RWRui Wang
Rui Wang
XHXiaogong Hu
Xiaogong Hu
We analyze the impact of large earthquakes on the estimation of the global mean ocean mass (GMOM) change rate over the 13-year period (January 2003 to December 2015) using the Gravity Recovery and Climate Experiment (GRACE) Release-06 (RL06) monthly gravity solutions released by the Center for Space Research (CSR). We take into account the effects of the December 2004 Mw9.1 and April 2012 Mw8.6 Sumatra earthquakes, the March 2011 Mw9.0 Tohoku-Oki earthquake, and the February 2010 Mw8.8 Chile earthquake. After removing the co- and post-seismic effects of these earthquakes in the oceanic areas by least squares fitting, we estimate the GMOM rate from GRACE monthly observations. Results show that GRACE-observed GMOM rate before the seismic correction is 2.12 ± 0.30 mm/year, while after correction the rate is 2.05 ± 0.30 mm/year. Even though the −0.07 ± 0.02 mm/year seismic influence on GRACE GMOM rate is small on a global scale, it is a systematic bias and should be considered for improved quantification and understanding of the global sea level change.

21 February 2020 in Science China Physics, Mechanics & Astronomy
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Journal Article
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JCJinPing Chen
JinPing Chen
XHXiaogong Hu
Xiaogong Hu
CTChengPan Tang
ChengPan Tang
SZShanShi Zhou
ShanShi Zhou
YYYuFei Yang
YuFei Yang
YYYang Yu
Yang Yu