# student advisee; _ undergrads advisee; * corresponding author
2025
Zheng, K.# and Lin, P.* (2025): Flood regulation as a multivariate challenge in the Anthropocene: a systematic modeling approach. Environmental Research Letters. 20 104072.
Lei, X.#, Lin, P.*, Zheng, H., Fei, W., Yin, Z.#, Ren, H. (2025): Systematic analyses of the meteorological forcing and process parameterization uncertainties in modeling runoff with Noah-MP for the Upper Brahmaputra River Basin. Journal of Hydrology, 653, 132686.
Liu, Y., Fan, W., Guo, Q., Huang, Z., Ren, H., Dong, L., Zhang, F., Lin, P. (2025): Fusion sensing for urban resilience. The Innovation. 101117.
Guo, X., Piliouras, A., Lin, P., Yao, W. (2025): Natural fluvial connection across watersheds. Earth-Science Reviews, 105203.
David, C.H, Augusto, G., Lin, P., Munier, S., Schumann G., Yamazaki, D. et al. (2025): The River Experiment Initiative: Advancing Global Surface Water Science for Local Societal Benefits. The GEWEX Quarterly, 35, 1: https://www.gewex.org/gewex-content/uploads/2025/04/Q12025.pdf. (Cover Page)
As the co-leads of the RivEx, a new GEWEX Hydroclimatology Panel (GHP) Crosscutting initiative, we seek to establish a common strategy for comparing river models, improving modeling systems and eventually helping to enable their use in decision support activities.
Liu, W., Li, Y., Li, D., Lin, P., Wang, X., Pritchard, HD, Kraaijenbrink, PDA (2025): Impacts of changes in climate, cryosphere, and vegetation on freshwater supply in the southeastern Tibetan Plateau. Journal of Hydrology, 661, 133713.
Yang, Y., Feng, D., Beck, HE, Hu, W., Abbas, A., Sengupta, A., Delle Monache, L., Hartman, R., Lin, P., Shen, C., Pan M. (2025): Global daily discharge estimation based on grid long short‐term memory (LSTM) model and river routing. Water Resources Research, 61 (6), e2024WR039764
2024
Yuan, Z.#, Lin, P.*, Guo, X., Zhang, K., Beck H.E. (2024): Revisiting At-a-Station Hydraulic Geometry using Discharge Observations and Satellite-Derived River Widths. Journal of Remote Sensing. 4, DOI: 10.34133/remotesensing.0271 (Editor's Highlight)
Zheng, K.#, Lin, P.*, Yin, Z.# (2024): SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains. Earth System Science Data. 16, 3873–3891, https://doi.org/10.5194/essd-16-3873-2024.
Yin, Z.#, Lin, P.*, G.H. Allen, R. Riggs, X. Lei#, Z. Zheng, S. Cai (2024): A synthesis of global streamflow characteristics, hydrometeorology, catchment attributes (GSHA) for large-sample river-centric studies. Earth System Science Data. 16, 1559–1587, https://doi.org/10.5194/essd-16-1559-2024.
Lin, P*, Yin, Z.#, Zheng, K.#, et al. (2024): Tracking global floodplain urban growth. The Innovation Geoscience. 2(3): 100086. https://doi.org/10.59717/j.xinn-geo.2024.100086
Collins, E., C H David, R. Riggs, G. H Allen, T M Pavelsky, P. Lin, M. Pan, D. Yamazaki, RK Meentemeyer, GM Sanchez (2024): Global patterns in river water storage dependent on residence time. Nature Geoscience, 1-7
2023
Lin, P.*, D. Feng, C. Gleason, M. Pan, C. Brinkerhoff, H. Beck, R. Frasson (2023): Inversion of river discharge from river width: a critical assessment at three thousand gauges. Remote Sensing of Environment. 287. 2
Ding, M.#, P. Lin*, S. Gao, J. Wang, Z. Zeng, K. Zheng#, X. Zhou, D. Yamazaki, Y. Gao, Y. Liu: Reversal of the levee effect towards sustainable floodplain management. Nature Sustainability, 8. https://doi.org/10.1038/s41893-023-01202-9 (Featured article)
Xu, R.R., Zeng, Z.Z., et al. (including P. Lin): A global-scale framework for hydropower development incorporating strict environmental constraints. Nature Water.
Yang, H., X. Lei#, H. Zheng, W. Fei, Z. Liu, P. Lin* (2023). Assessment of runoff simulation in the Yarlung Zangbo River Basin based on the multi-physics Noah-MP land surface model. Chinese Science Bulletin (In Chinese with English abstract): https://doi.org/10.1360/TB-2023-0091
Lin et al. (including Lin P.) (2023): Making China’s water data accessible, usable and shareable. Nature Water. 1, 328-335.
Durand et al. (including Lin P.) (2023): A Framework for Estimating Global River Discharge From Surface Water and Ocean Topography Satellite Mission, Water Resources Research. 59, 4.
2022
Wu, W., Z.-L. Yang, L. Zhao, P. Lin: The impact of multi-sensor land data assimilation on river discharge estimation. Remote Sensing of Environment.
Krabbenhoft, C. G. Allen, P. Lin, and co-authors: Assessing placement bias of the global river gauge network. Nature Sustainability.
Liu, S., C. Kuhn, G. Amatulli, K. Aho, D. Butman, G.H. Allen, P. Lin, M. Pan, D. Yamazaki, C. Brinkerhoff, C. Gleason, P. Raymond: The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers, PNAS, 119(11).
Riggs, R., G. Allen, C. David, P. Lin, M. Pan, X. Yang, C. Gleason (2022): RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat, Environmental Modelling & Software, Volume 148, 2022, 105254, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2021.105254.
2021
Lin, P., Pan, M., E.F. Wood, D. Yamazaki, G. Allen (2021): A new vector-based global river network dataset accounting for variable drainage density. Scientific Data, 8 (28), https://doi.org/10.1038/s41597-021-00819-9.
Feng, D., C. Gleason, P. Lin, X. Yang, M. Pan, Y. Ishitsuka (2021): Recent changes to Arctic river discharge. Nature communications. 12 (1), 1-9
Zeng, Z., D. Wang, L. Yang, J. Wu, A.D. Ziegler, M. Liu, P. Ciais, T. Searchinger, Z.L. Yang, D. Chen, A. Chen, L. Li, S. Piao, D. Taylor, X. Cai, M. Pan, L. Peng, P. Lin, D. Gower, Y. Feng, C. Zheng, K. Guan, X. Lian, T. Wang, L. Wang, S. Jeong, Z. Wei, J. Sheffield, K. Caylor, E. Wood (2021): Deforestation-induced warming over tropical mountain regions regulated by elevation. Nature Geoscience 14 (1), 23-29
Ishitsuka, Y., C. Gleason, M. Hageman, E. Beighley, G. Allen, D. Feng, P. Lin, M. Pan, K. Andreadis,T. Pavelsky (2021): Combining optical remote sensing, McFLI discharge estimation, global hydrologic modeling, and data assimilation to improve daily discharge estimates across an entire large watershed. Water Resources Research. doi: 10.1029/2020WR027794.
Peng L., Z. Wei, Z. Zeng, P. Lin, E.F. Wood, J. Sheffield (2021): Reducing solar radiation forcing uncertainty and its impact on surface energy and water fluxes. Journal of Hydrometeorology. 22 (4), 813-829. doi: 10.1175/JHM-D-20-0052.1.
Yang, Y, M. Pan, P. Lin, H. Beck, Z. Zeng, D. Yamazaki, C. David, H. Lu, K. Yang, Y. Hong, E. Wood (2021): Global Reach-level 3-hourly River Flood Reanalysis (1980-2019). Bulletin of the American Meteorological Society. 102 (11), E2086-E2105
Frasson, R., M. Durand, K. Larnier, C. Gleason, K. Andreadis, M. Hagemann, R. Dudley, D. Bjerklie, H. Oubanas, P.A. Garambois, P.O. Malaterre, P. Lin, T. Pavelsky, J. Monnier, C. Brinkerhoff, C. David (2021): Exploring the factors controlling the error characteristics of the Surface Water and Ocean Topography mission discharge estimates. Water Resources Research. 57 (6), e2020WR028519
Mizukami, N., M. Clark, S. Gharari, E. Kluzek, M. Pan, P. Lin, H.E. Beck, D. Yamazaki (2021): A vector-based river routing model for Earth System Models: Parallelization and global applications, Journal of Advances in Modeling Earth Systems. 13 (6), e2020MS002434
Fei, W., H. Zheng, Z. Xu, W. Wu, P. Lin, Y. Tian, M. Guo, D. She, L. Li, K. Li, Z.L. Yang (2021): Ensemble skill gains obtained from the multi-physics versus multi-model approaches for continental-scale hydrologic simulations. Water Resources Research. 57 (7), e2020WR028846
Gao, S., Z. Li, M. Chen, P. Lin, Z. Hong, D. Allen, T. Neeson, Y. Hong (2021): Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface model simulations. Remote Sensing of Environment.
2020
Lin, P., Pan, M., Allen, G., Frasson, R., Zeng, Z., Yamazaki, D., Wood, E. (2020): Global estimates of reach-level bankfull river width leveraging big-data geospatial analysis, Geophysical Research Letters. [link]
Lin, P., ZL Yang, J. Wei, RE Dickinson, Y. Zhang, L. Zhao: Assimilating multi-satellite snow data in ungauged Eurasia improves the simulation accuracy of Asian monsoon seasonal anomalies. Environmental Research Letters. [link] [Media report: https://www.sciencedaily.com/releases/2020/07/200716120705.htm]
Brinkerhoff, C., C. Gleason, D. Feng, P. Lin (2020): Constraining Remote River Discharge Estimation Using Reach-Scale Geomorphology. Water Resources Research. (accepted)
Zhang, J.*, P. Lin, S. Gao, N.Z. Fang (2020): Understanding the Re-infiltration Process to Simulating Streamflow in North Central Texas using the WRF-Hydro Modeling System. Journal of Hydrology. (accepted) (* graduate advisee) [link]
Beck, H, M Pan, P. Lin, J Seibert, A van Dijk, EF Wood: Global fully-distributed parameter regionalization based on observed streamflow from 4229 headwater catchments. JGR-Atmosphere. [link]
Zheng, H., Z.-L. Yang, P. Lin, et al.: Falsification-oriented signature-based evaluation for guiding development of land surface models and the enhancement of observations. Journal of Advances in Modeling Earth Systems. (accepted)
Zeng, et al. including P. Lin: Elevation regulates the biophysical climate impacts of mountain deforestation. Nature Geoscience. (accepted)
Li, L., She, S., Zheng, H., P. Lin, Yang, ZL.: Elucidating diverse drought characteristics from two meteorological drought indices (SPI and SPEI) in China. Journal of Hydrometeorology. [link]
Liu et. al including P. Lin (2020): High spatiotemporal resolution mapping of global urban change from 1985 to 2015. Nature Sustainability. [link]
Liang, J., Z.-L. Yang, X. Cai, P. Lin, H. Zheng (2020): Modeling the impacts of nitrogen dynamics on regional terrestrial carbon and water cycles over China with Noah-MP-CN. Advances in Atmospheric Sciences. [link]
2019
Lin, P., M. Pan, H.E. Beck, Y. Yang, D. Yamazaki, R. Frasson, C.H. David, M. Durand, T. Pavelsky, G. Allen, C. Gleason, E.F. Wood (2019): Global reconstruction of naturalized river flows at 2.94 million reaches. Water Resources Research. [link] [Eos Editor's Highlight: https://eos.org/editor-highlights/reconstructing-natural-streamflow-at-unprecedented-resolution]
Yang, Y, P. Lin, M. Pan et al. (2019): Enhancing gap-filling in SWOT discharge interpolation through spatio-temporal correlations. Remote Sensing of Environment. [link]
Liang, J., Z.-L. Yang, P. Lin (2019): Systematic hydrological evaluation of the Noah-MP land surface model over China. Advances in Atmospheric Research. [link]
Zheng, H., Z.-L. Yang, P. Lin, et al. (2019): On the sensitivity of precipitation partitioning into evapotranspiration and runoff in land surface parameterizations. Water Resources Research. [link]
prior to 2018 (graduate)
Lin, P., L.J. Hopper Jr., Z.-L. Yang, M. Lenz, J.W. Zeitler (2018): Insights into hydrometeorological factors constraining flood prediction skill during the May and October 2015 Texas Hill Country flood events. Journal of Hydrometeorology. [link]
Lin P., Z.-L. Yang, D.J. Gochis, Y. Wei, D.R. Maidment, M.A. S.-Valenzuela, C.H. David (2018): Implementation of a vector-based river network routing model in the community WRF-Hydro system for flood discharge simulation. Environmental Modelling & Software. [link]
Jin, Q., J. Wei, Z.-L. Yang, P. Lin (2017): Irrigation-induced environmental changes around the Aral Sea: An integrated view from multiple satellite observations. Remote Sensing. [link]
Lin, P., M.Rajib, Z.-L. Yang, et al. (2017): Spatio-temporal evaluation of simulated evapotranspiration and streamflow over Texas using the WRF-Hydro-RAPID framework. Journal of American Water Resource Association. [link]
(Edited) Maidment, D.R., A.D. Rajib, P. Lin, E.P. Clark (2016) (Eds): National Water Center Innovators Program Summer Institute Report. Consortium of Universities for the Advancement of Hydrologic Science Inc. Technical Report No.13, 122 p. DOI: 10.4211/technical.20161019. [link]
Lin P., J. Wei, Z.-L. Yang, Y.-F. Zhang, K. Zhang (2016): Snow data assimilation-constrained land initialization improves seasonal temperature prediction. Geophysical Research Letters. (picked up by 7 news outlets including Phys.org, ScienceDaily, etc.) [link]
Lin P., Z.-L. Yang, X. Cai, C. H. David (2015): Development and evaluation of a physically-based lake level model for water resource management: A case study for Lake Buchanan, Texas. Journal of Hydrology: Regional Studies. [link]
2012 (undergraduate)
Lin P., Q. Qin, H. Dong, Q. Meng (2012): Hyperspectral vegetation indices for crop chlorophyll estimation: Assessment, modeling and validation. 2012IEEE International Geoscience and Remote Sensing Symposium, IGARSS: 4841 – 4844. [link]
"Towards actionable flood and climate prediction: understanding and advancing land surface modelling with enriched geospatial information", June 2018
Thesis committee: Zong-Liang Yang, Bayani Cardenas, Robert Dickinson, Randal Koster, Jiangfeng Wei
NSF proposal reviewer
Journal Reviewer for: Geophysical Research Letters (4), Journal of Geophysical Research (2), Journal of Hydrology (2), Climatic Change (1), Journal of the American Water Resources Association (1), Weather and Forecasting (1), Advances in Meteorology (1), The Cryosphere (1), Environmental Modelling & Software (1), HESS (1)
See Publons history here: publons.com/a/1260321/