Search Results - "Sun, Alexander Y."

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  1. 1

    Discovering State‐Parameter Mappings in Subsurface Models Using Generative Adversarial Networks by Sun, Alexander Y.

    Published in Geophysical research letters (28-10-2018)
    “…A fundamental problem in geophysical modeling is related to the identification and approximation of causal structures among physical processes. However,…”
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    How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions by Sun, Alexander Y, Scanlon, Bridget R

    Published in Environmental research letters (01-07-2019)
    “…Big Data and machine learning (ML) technologies have the potential to impact many facets of environment and water management (EWM). Big Data are information…”
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    GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas by Long, Di, Scanlon, Bridget R., Longuevergne, Laurent, Sun, Alexander Y., Fernando, D. Nelun, Save, Himanshu

    Published in Geophysical research letters (16-07-2013)
    “…Texas experienced the most extreme one‐year drought on record in 2011 with precipitation at 40% of long‐term mean and agricultural losses of ~$7.6 billion. We…”
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  6. 6

    Karst catchments exhibited higher degradation stress from climate change than the non-karst catchments in southwest China: An ecohydrological perspective by Liu, Meixian, Xu, Xianli, Wang, Dingbao, Sun, Alexander Y., Wang, Kelin

    Published in Journal of hydrology (Amsterdam) (01-04-2016)
    “…•Portion of karst landform is the key factor for elasticity of actual E in SW China.•Actual E in karst catchments is more sensitive to P but less to E0 than in…”
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  7. 7

    Rapid mapping of global flood precursors and impacts using novel five-day GRACE solutions by Rateb, Ashraf, Save, Himanshu, Sun, Alexander Y., Scanlon, Bridget R.

    Published in Scientific reports (15-06-2024)
    “…Floods affect communities and ecosystems worldwide, emphasizing the importance of identifying their precursors and enhancing resilience to these events. Here,…”
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    Deciphering the Role of Total Water Storage Anomalies in Mediating Regional Flooding by Sun, Alexander Y., Save, Himanshu, Rateb, Ashraf, Jiang, Peishi, Scanlon, Bridget R.

    Published in Geophysical research letters (28-08-2024)
    “…Regional floods result from various flood generation mechanisms. Traditional analyses mainly link flooding to extreme rainfall, with limited input from soil…”
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    Is southwestern China experiencing more frequent precipitation extremes? by Liu, Meixian, Xu, Xianli, Sun, Alexander Y, Wang, Kelin, Liu, Wen, Zhang, Xiaoyan

    Published in Environmental research letters (01-06-2014)
    “…Climate extremes have and will continue to cause severe damages to buildings and natural environments around the world. A full knowledge of the probability of…”
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    Toward calibration of regional groundwater models using GRACE data by Sun, Alexander Y., Green, Ronald, Swenson, Sean, Rodell, Matthew

    Published in Journal of hydrology (Amsterdam) (23-02-2012)
    “…► Regional groundwater models are uncertain. ► GRACE data can be used for constraining regional groundwater models. ► A multiobjective optimization approach…”
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  13. 13

    Inversion of pressure anomaly data for detecting leakage at geologic carbon sequestration sites by Sun, Alexander Y., Nicot, Jean-Philippe

    Published in Advances in water resources (01-08-2012)
    “…► An inversion algorithm is developed for detecting leakage at geologic CO2 sequestration sites. ► The algorithm is based on inversion of observed pressure…”
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  14. 14

    Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes by Sun, Alexander, Scanlon, Bridget, AghaKouchak, Amir, Zhang, Zizhan

    Published in Remote sensing (Basel, Switzerland) (01-12-2017)
    “…Global assessment of the spatiotemporal variability in terrestrial total water storage anomalies (TWSA) in response to hydrologic extremes is critical for…”
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    Predicting CO2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network by Zhong, Zhi, Sun, Alexander Y., Jeong, Hoonyoung

    Published in Water resources research (01-07-2019)
    “…Numerical simulation of flow and transport in heterogeneous formations has long been studied, especially for uncertainty quantification and risk assessment…”
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    A robust geostatistical approach to contaminant source identification by Sun, Alexander Y.

    Published in Water resources research (01-02-2007)
    “…Estimation under model uncertainty remains a practical concern in many scientific and engineering fields. A commonly encountered example in groundwater…”
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  17. 17

    Predicting groundwater level changes using GRACE data by Sun, Alexander Y.

    Published in Water resources research (01-09-2013)
    “…The purpose of this work is to investigate the feasibility of downscaling Gravity Recovery and Climate Experiment (GRACE) satellite data for predicting…”
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    Reconstruction of GRACE Total Water Storage Through Automated Machine Learning by Sun, Alexander Y., Scanlon, Bridget R., Save, Himanshu, Rateb, Ashraf

    Published in Water resources research (01-02-2021)
    “…The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the…”
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    Spatial Downscaling of TRMM Precipitation Product Using a Combined Multifractal and Regression Approach: Demonstration for South China by Xu, Guanghua, Xu, Xianli, Liu, Meixian, Sun, Alexander Y, Wang, Kelin

    Published in Water (Basel) (01-06-2015)
    “…The lack of high spatial resolution precipitation data, which are crucial for the modeling and managing of hydrological systems, has triggered many attempts at…”
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    Hierarchical Fractional Advection-Dispersion Equation (FADE) to Quantify Anomalous Transport in River Corridor over a Broad Spectrum of Scales: Theory and Applications by Zhang, Yong, Zhou, Dongbao, Wei, Wei, Frame, Jonathan M., Sun, Hongguang, Sun, Alexander Y., Chen, Xingyuan

    Published in Mathematics (Basel) (01-04-2021)
    “…Fractional calculus-based differential equations were found by previous studies to be promising tools in simulating local-scale anomalous diffusion for…”
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