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D-Index & Metrics

Environmental Sciences

D-Index
65
Citations
21680
World Ranking
2159
National Ranking
877

Overview

Kuolin Hsu is affiliated with the University of California, Irvine in the United States. Their research primarily lies at the intersection of Environmental Science and Earth and Planetary Sciences, with contributions also spanning Atmospheric Science, Global and Planetary Change, Environmental Engineering, Water Science and Technology, and Public Health, Environmental and Occupational Health.

The scientist's work addresses a range of topics within these fields including:

  • Meteorological Phenomena and Simulations
  • Precipitation Measurement and Analysis
  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Soil Moisture and Remote Sensing
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI

Kuolin Hsu has contributed to multiple peer-reviewed papers, notable among them are:

  • PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies, 2021, published in Scientific Data
  • PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset, 2020, published in Journal of Hydrometeorology
  • Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information, 2020, published in Environmental Modelling & Software
  • Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran, 2020, published in Remote Sensing
  • Evaluation of Methods for Causal Discovery in Hydrometeorological Systems, 2020, published in Water Resources Research

The scientist frequently collaborates with other researchers including:

  • Soroosh Sorooshian
  • Phu Nguyen
  • Vesta Afzali Gorooh
  • Bita Analui
  • Ming-Chieh Lee

Kuolin Hsu's studies are often published in venues such as:

  • Journal of Hydrometeorology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • Bulletin of the American Meteorological Society
  • Journal of Hydrology

Best Publications

  • Artificial Neural Network Modeling of the Rainfall‐Runoff Process

    Kuo‐lin ‐l Hsu;Hoshin Vijai Gupta;Soroosh Sorooshian

  • A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

    Qiaohong Sun;Chiyuan Miao;Qingyun Duan;Hamed Ashouri

  • Evaluation of PERSIANN system satellite-based estimates of tropical rainfall

    Soroosh Sorooshian;Kuo Lin Hsu;Xiaogang Gao;Hoshin V. Gupta

  • PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

    Hamed Ashouri;Kuo-Lin Hsu;Soroosh Sorooshian;Dan K. Braithwaite

  • Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System

    Yang Hong;Kuo-Lin Hsu;Soroosh Sorooshian;Xiaogang Gao

  • Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter

    Hamid Moradkhani;Kuo-Lin Hsu;Hoshin V. Gupta;Soroosh Sorooshian

  • Integrated Multi-satellite Retrievals for the Global Precipitation Measurement (GPM) Mission (IMERG)

    George J. Huffman;David T. Bolvin;Dan Braithwaite;Kuo-Lin Hsu

  • Component analysis of errors in satellite-based precipitation estimates

    Yudong Tian;Yudong Tian;Christa D. Peters-Lidard;John B. Eylander;Robert J. Joyce

  • Hydrologic evaluation of satellite precipitation products over a mid-size basin

    Ali Behrangi;Ali Behrangi;Behnaz Khakbaz;Tsou Chun Jaw;Amir AghaKouchak

  • Evaluation of satellite-retrieved extreme precipitation rates across the central United States

    A. AghaKouchak;A. Behrangi;S. Sorooshian;K. Hsu

  • Self-organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysis

    Kuo Lin Hsu;Hoshin V. Gupta;Xiaogang Gao;Soroosh Sorooshian

  • Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China

    Chiyuan Miao;Hamed Ashouri;Kuo-Lin Hsu;Soroosh Sorooshian

  • The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data.

    Phu Nguyen;Eric J. Shearer;Hoang Tran;Mohammed Ombadi

  • Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting

    Koray K. Yilmaz;Terri S. Hogue;Kuo Lin Hsu;Soroosh Sorooshian

  • The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low- and mid-latitudes

    Aiguo Dai;Xin Lin;Xin Lin;Kuo-Lin Hsu

  • Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response

    Yang Hong;Yang Hong;Kuo-lin Hsu;Hamid Moradkhani;Soroosh Sorooshian

  • HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

    Chaopeng Shen;Eric Laloy;Amin Elshorbagy;Adrian Albert

  • Improving Precipitation Estimation Using Convolutional Neural Network

    Baoxiang Pan;Kuolin Hsu;Amir AghaKouchak;Soroosh Sorooshian

  • Intercomparison of high-resolution precipitation products over Northwest Europe

    C. Kidd;C. Kidd;P. Bauer;J. Turk;G. J. Huffman

  • Improved streamflow forecasting using self-organizing radial basis function artificial neural networks

    Hamid Moradkhani;Kuo Lin Hsu;Hoshin V. Gupta;Soroosh Sorooshian

  • Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network

    Yang Hong;David Gochis;Jiang-tao Cheng;Kuo-lin Hsu

Frequent Co-Authors

Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Amir AghaKouchak
Amir AghaKouchak University of California, Irvine
Hoshin V. Gupta
Hoshin V. Gupta University of Arizona
Yang Hong
Yang Hong University of Oklahoma
Ali Behrangi
Ali Behrangi University of Arizona
George J. Huffman
George J. Huffman Goddard Space Flight Center
Chris Kidd
Chris Kidd Goddard Space Flight Center
Pingping Xie
Pingping Xie National Oceanic and Atmospheric Administration
Hamid Moradkhani
Hamid Moradkhani University of Alabama
Qingyun Duan
Qingyun Duan Hohai University

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