World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
11201
World Ranking
7567
National Ranking
2689

Overview

Lifeng Luo is affiliated with Michigan State University in the United States. Their research spans multiple areas within environmental science with a focus on hydrology and watershed management.

The scientist has contributed extensively to studies involving global and planetary change, water science and technology, atmospheric science, environmental engineering, and management science and operations research. Their work often intersects with topics such as climate variability and models, flood risk assessment and management, and hydrological forecasting using artificial intelligence.

Major topics covered in their publications include:

  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Flood Risk Assessment and Management
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Hydrology and Drought Analysis
  • Cryospheric studies and observations

Luo has published in a range of venues, reflecting a multidisciplinary approach. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Hydrology
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Water
  • Hydrology and earth system sciences

Among recent papers, notable works include:

  • Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds (2021, Hydrology and earth system sciences)
  • Exploring the ENSO Impact on Basin-Scale Floods Using Hydrological Simulations and TRMM Precipitation (2020, Geophysical Research Letters)
  • Climate change and water security in the northern slope of the Tianshan Mountains (2022, Geography and sustainability)
  • Hydrological drought evolution with a nonlinear joint index in regions with significant changes in underlying surface (2020, Journal of Hydrology)
  • Variation of Surface Air Temperature Induced by Enhanced Land-Atmosphere Coupling During 1981-2020 in Xinjiang, Northwest China (2023, Journal of Geophysical Research Atmospheres)

Luo collaborates frequently with a number of coauthors. Among the most common are:

  • Pang-Ning Tan
  • Yadu Pokhrel
  • Andrew M. McDonald
  • Qiuhong Tang
  • Yang Lang

Best Publications

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Past and future changes in climate and hydrological indicators in the US Northeast

    Katharine Hayhoe;Cameron P Wake;Thomas G Huntington;Lifeng Luo

  • Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

    Brian A. Cosgrove;Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow

    Youlong Xia;Kenneth Mitchell;Michael Ek;Brian Cosgrove

  • Contribution of land surface initialization to subseasonal forecast skill: first results from a multi-model experiment.

    R. D. Koster;S. P.P. Mahanama;S. P.P. Mahanama;T.J. Yamada;T.J. Yamada;T.J. Yamada;Gianpaolo Balsamo

  • The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill

    R. D. Koster;S. P. P. Mahanama;S. P. P. Mahanama;S. P. P. Mahanama;T. J. Yamada;T. J. Yamada;T. J. Yamada;Gianpaolo Balsamo

  • Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project

    Rachel T. Pinker;J. Dan Tarpley;Istvan Laszlo;Kenneth E. Mitchell

  • A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction

    Xing Yuan;Eric F. Wood;Lifeng Luo;Ming Pan

  • Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia

    Lifeng Luo;Alan Robock;Konstantin Y. Vinnikov;C. Adam Schlosser

  • Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season

    Alan Robock;Lifeng Luo;Lifeng Luo;Eric F. Wood;Fenghua Wen

  • The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting

    Haibin Li;Lifeng Luo;Eric F. Wood;John Schaake

  • Land surface model spin‐up behavior in the North American Land Data Assimilation System (NLDAS)

    Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System Project

    Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser;Eric F. Wood

  • Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent

    Justin Sheffield;Ming Pan;Eric F. Wood;Kenneth E. Mitchell

  • Monitoring and predicting the 2007 U.S. drought

    Lifeng Luo;Eric F. Wood

  • Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains

    Lifeng Luo;Lifeng Luo;Alan Robock;Kenneth E. Mitchell;Paul R. Houser

  • Contribution of temperature and precipitation anomalies to the California drought during 2012–2015

    Lifeng Luo;Deanna Apps;Deanna Apps;Samuel Arcand;Huating Xu;Huating Xu

  • Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds

    Unknown

  • Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions

    Lifeng Luo;Eric F. Wood;Ming Pan

  • Snow process modeling in the north american Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

    Justin Sheffield;Ming Pan;Eric F. Wood;Kenneth E. Mitchell

  • Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

    Rachel T. Pinker;J. Dan Tarpley;Istvan Laszlo;Kenneth E. Mitchell

  • Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

    Alan Robock;Lifeng Luo;Eric F. Wood;Fenghua Wen

Frequent Co-Authors

Eric F. Wood
Eric F. Wood Princeton University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Qingyun Duan
Qingyun Duan Hohai University
Alan Robock
Alan Robock Rutgers, The State University of New Jersey
Justin Sheffield
Justin Sheffield University of Southampton
Paul R. Houser
Paul R. Houser George Mason University
Rachel T. Pinker
Rachel T. Pinker University of Maryland, College Park
R. Wayne Higgins
R. Wayne Higgins National Oceanic and Atmospheric Administration
Pang-Ning Tan
Pang-Ning Tan Michigan State University
Ming Pan
Ming Pan Princeton University

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