World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
76
Citations
19464
World Ranking
1212
National Ranking
524

Overview

Ming Pan is affiliated with Princeton University in the United States and focuses their research primarily within the field of Environmental Science. Their work spans several subfields including Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Electrical and Electronic Engineering.

The scientist's research topics highlight areas such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Climate Variability and Models, Plant Water Relations and Carbon Dynamics, Soil Moisture and Remote Sensing, Hydrology and Drought Analysis, and Cryospheric Studies and Observations.

They have published extensively in prominent venues, with frequent publications appearing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Water Resources Research
  • Hydrology and Earth System Sciences
  • Remote Sensing of Environment
  • Journal of Hydrometeorology

Notable recent papers by Ming Pan include:

  • "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors" (2021), published in Hydrology and Earth System Sciences
  • "The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers" (2022), published in Proceedings of the National Academy of Sciences
  • "Recent changes to Arctic river discharge" (2021), published in Nature Communications
  • "A Global Drought and Flood Catalogue from 1950 to 2016" (2020), published in Bulletin of the American Meteorological Society
  • "Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments" (2020), published in Journal of Geophysical Research Atmospheres

The scientist has collaborated frequently with several peers in their field. Regular coauthors include Peirong Lin, Hylke E. Beck, Eric F. Wood, Justin Sheffield, and Kaiyu Guan.

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

  • MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment

    Hylke E. Beck;Eric F. Wood;Ming Pan;Colby K. Fisher

  • Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

    Hylke E. Beck;Noemi Vergopolan;Ming Pan;Vincenzo Levizzani

  • Multi-decadal trends in global terrestrial evapotranspiration and its components

    Yongqiang Zhang;Jorge L. Peña-Arancibia;Tim R. McVicar;Tim R. McVicar;Francis H. S. Chiew

  • Anthropogenic warming exacerbates European soil moisture droughts

    L. Samaniego;S. Thober;R. Kumar;N. Wanders

  • Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

    Hylke E. Beck;Ming Pan;Tirthankar Roy;Graham P. Weedon

  • Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data-Poor Regions

    J. Sheffield;Eric F. Wood;M. Pan;H. Beck

  • Photosynthetic seasonality of global tropical forests constrained by hydroclimate

    Kaiyu Guan;Kaiyu Guan;Ming Pan;Haibin Li;Adam Wolf

  • Vegetation control on water and energy balance within the Budyko framework

    Dan Li;Ming Pan;Zhentao Cong;Lu Zhang

  • Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches

    Peirong Lin;Ming Pan;Hylke E. Beck;Yuan Yang;Yuan Yang

  • Inroads of remote sensing into hydrologic science during the WRR era

    Dennis P. Lettenmaier;Doug Alsdorf;Jeff Dozier;George J. Huffman

  • Local and global factors controlling water‐energy balances within the Budyko framework

    Xianli Xu;Wen Liu;Bridget R. Scanlon;Lu Zhang

  • Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors

    Hylke E. Beck;Ming Pan;Diego G. Miralles;Rolf H. Reichle

  • Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter

    Ming Pan;Eric F. Wood

  • SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia

    H. Lievens;S.K. Tomer;A. Al Bitar;G.J.M. De Lannoy

  • Multisource estimation of long-term terrestrial water budget for major global river basins

    Ming Pan;Alok K. Sahoo;Tara J. Troy;Raghuveer K. Vinukollu

  • From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling.

    Wen-Ping Tsai;Dapeng Feng;Ming Pan;Ming Pan;Hylke Beck

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

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

  • Reconciling the global terrestrial water budget using satellite remote sensing

    Alok K. Sahoo;Ming Pan;Tara J. Troy;Raghuveer K. Vinukollu

  • Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 °C

    Andreas Marx;Rohini Kumar;Stephan Thober;Oldrich Rakovec;Oldrich Rakovec

  • 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

Frequent Co-Authors

Eric F. Wood
Eric F. Wood Princeton University
Justin Sheffield
Justin Sheffield University of Southampton
Niko Wanders
Niko Wanders Utrecht University
Hylke E. Beck
Hylke E. Beck King Abdullah University of Science and Technology
Valentijn R. N. Pauwels
Valentijn R. N. Pauwels Monash University
Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University
Luis Samaniego
Luis Samaniego Helmholtz Centre for Environmental Research
Jeffrey P. Walker
Jeffrey P. Walker Monash University
Kaiyu Guan
Kaiyu Guan University of Illinois at Urbana-Champaign
Matthias Drusch
Matthias Drusch European Space Agency

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