World's Best Scientists 2026 revealed!

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Environmental Sciences

D-Index
62
Citations
12028
World Ranking
2641
National Ranking
1055

Overview

Jonathan J. Gourley is affiliated with the National Oceanic and Atmospheric Administration in the United States. Their research primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with an emphasis on Atmospheric Science and Global and Planetary Change.

The scientist's work covers multiple subfields including Water Science and Technology, Environmental Engineering, and Ecology. Their research topics focus on areas such as Flood Risk Assessment and Management, Meteorological Phenomena and Simulations, Hydrology and Watershed Management Studies, and Precipitation Measurement and Analysis. Additionally, their interests extend to Climate Variability and Models, Hydrology and Drought Analysis, and Hydrological Forecasting Using AI.

Frequent coauthors in their research include:

  • Yang Hong
  • Shang Gao
  • Mengye Chen
  • Zhi Li
  • Humberto Vergara

Jonathan J. Gourley has published extensively, with notable publications in journals such as the Journal of Hydrology, Journal of Hydrometeorology, and Water Resources Research. Other venues include the Bulletin of the American Meteorological Society and Abstracts with programs - Geological Society of America.

Significant recent papers include:

  • Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS, 2021, Journal of Hydrology
  • Recent global performance of the Climate Hazards group Infrared Precipitation (CHIRP) with Stations (CHIRPS), 2020, Journal of Hydrology
  • Use of radar data for characterizing extreme precipitation at fine scales and short durations, 2020, Environmental Research Letters
  • Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation, 2020, Remote Sensing
  • CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction, 2021, Environmental Modelling & Software

Best Publications

  • Vegetation Greening and Climate Change Promote Multidecadal Rises of Global Land Evapotranspiration.

    Ke Zhang;John S. Kimball;Ramakrishna R. Nemani;Steven W. Running

  • Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins

    S I Khan;Yang Hong;J Wang;K K Yilmaz

  • Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China

    Bin Yong;Bin Yong;Li-Liang Ren;Yang Hong;Jia-Hu Wang

  • HyMeX-SOP1: The Field Campaign Dedicated to Heavy Precipitation and Flash Flooding in the Northwestern Mediterranean

    Véronique Ducrocq;Isabelle Braud;Silvio Davolio;Rossella Ferretti

  • Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins?

    Xianwu Xue;Yang Hong;Ashutosh S. Limaye;Jonathan J. Gourley

  • Weather Radar Coverage over the Contiguous United States

    Robert A. Maddox;Jian Zhang;Jonathan J. Gourley;Kenneth W. Howard

  • The coupled routing and excess storage (CREST) distributed hydrological model

    Jiahu Wang;Yang Hong;Li Li;Jonathan J. Gourley

  • Constructing Three-Dimensional Multiple-Radar Reflectivity Mosaics: Examples of Convective Storms and Stratiform Rain Echoes

    Jian Zhang;Kenneth Howard;J. J. Gourley

  • Global View Of Real-Time Trmm Multisatellite Precipitation Analysis: Implications For Its Successor Global Precipitation Measurement Mission

    Bin Yong;Die Liu;Jonathan J. Gourley;Yudong Tian

  • A Fuzzy Logic Algorithm for the Separation of Precipitating from Nonprecipitating Echoes Using Polarimetric Radar Observations

    Jonathan J. Gourley;Pierre Tabary;Jacques Parent du Chatelet

  • Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China

    Sheng Chen;Yang Hong;Qing Cao;Jonathan J. Gourley

  • Analysis of flash flood parameters and human impacts in the US from 2006 to 2012

    Maruša Špitalar;Maruša Špitalar;Jonathan J. Gourley;Celine Lutoff;Pierre-Emmanuel Kirstetter;Pierre-Emmanuel Kirstetter

  • A digitized global flood inventory (1998–2008): compilation and preliminary results

    Pradeep Adhikari;Yang Hong;Kimberly R. Douglas;Dalia Bach Kirschbaum

  • The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States

    Jonathan J. Gourley;Zachary L. Flamig;Humberto Vergara;Pierre-Emmanuel Kirstetter

  • Intercomparison of the Version-6 and Version-7 TMPA precipitation products over high and low latitudes basins with independent gauge networks: Is the newer version better in both real-time and post-real-time analysis for water resources and hydrologic extremes?

    Bin Yong;Bin Yong;Bo Chen;Jonathan J. Gourley;Liliang Ren

  • Quantitative assessment of climate change and human impacts on long‐term hydrologic response: a case study in a sub‐basin of the Yellow River, China

    Jiahu Wang;Jiahu Wang;Yang Hong;Jonathan Gourley;Pradeep Adhikari

  • Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin

    Bin Yong;Bin Yong;Yang Hong;Li-Liang Ren;Jonathan J. Gourley

  • Mapping Flash Flood Severity in the United States

    Manabendra Saharia;Manabendra Saharia;Pierre-Emmanuel Kirstetter;Pierre-Emmanuel Kirstetter;Humberto Vergara;Humberto Vergara;Humberto Vergara;Jonathan J. Gourley

  • Toward a Framework for Systematic Error Modeling of Spaceborne Precipitation Radar with NOAA/NSSL Ground Radar–Based National Mosaic QPE

    Pierre-Emmanuel Kirstetter;Pierre-Emmanuel Kirstetter;Y. Hong;J. J. Gourley;S. Chen

  • THE SEVERE HAZARDS ANALYSIS AND VERIFICATION EXPERIMENT

    Kiel L. Ortega;Travis M. Smith;Kevin L. Manross;Kevin A. Scharfenberg

Frequent Co-Authors

Yang Hong
Yang Hong University of Oklahoma
Pierre-Emmanuel Kirstetter
Pierre-Emmanuel Kirstetter University of Oklahoma
Bin Yong
Bin Yong Hohai University
Jian Zhang
Jian Zhang University of Hong Kong
Kenneth Howard
Kenneth Howard National Oceanic and Atmospheric Administration
Emmanouil N. Anagnostou
Emmanouil N. Anagnostou University of Connecticut
Ke Zhang
Ke Zhang Hohai University
George J. Huffman
George J. Huffman Goddard Space Flight Center
Yudong Tian
Yudong Tian University of Maryland, College Park
Robert F. Adler
Robert F. Adler University of Maryland, College Park

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