2022

1.       Wu, W., Z.-L. Yang, L. Zhao, P. Lin (accepted): The impact of multi-sensor land data assimilation on river discharge estimation. Remote Sensing of Environment.

2.       Krabbenhoft, C.A., G.H. Allen, P. Lin, et al. Assessing placement bias of the global river gauge network. Nature Sustainability, 5, 586–592 (2022).

3.       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).

4.       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

5.       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.

6.       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

7.       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

8.       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.

9.       Sikder Md. S., M. Bonnema, C.M. Emery, C.H. David, P. Lin, M. Pan, S. Biancamaria, M.M. Gierach (2021): A synthetic dataset inspired by satellite altimetry and impacts of sampling on global spaceborne discharge characterization. Water Resources Research. 57 (2), e2020WR029035. https://doi.org/10.1029/2020WR029035.

10.     Chao, L., K. Zhang, Z.-L. Yang, J. Wang, P. Lin, J. Liang, Z. Li, Z. Gu (2021): Improving flood simulation capability of the WRF-Hydro-RAPID model using a multi-source precipitation merging method. Journal of Hydrology, 592 (2021) 125814.

11.     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.

12.     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

13.     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

14.     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

15.     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

16.     Jiang, X., S. Liang, X. He, A. Ziegler, P. Lin, M. Pan, D. Wang, J. Zou, D. Hao, G. Mao, Y. Zeng, J. Yin, L. Feng, C. Miao, E. Wood, Z. Zeng (2021): Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning. ISPRS Journal of Photogrammetry and Remote Sensing. 178, 36-50

17.     Jiang, Z., L. Feng, S. Li, J. Wang, X. Cai, P. Lin, X. Wang, H. Zhao (2021): The dynamics of hongjian nur, the largest desert freshwater lake in china, during 1990–2017. Remote Sensing. 13 (14), 2690

18.     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

19.     Lin, P., Pan, M., Allen, G., Frasson, R., Zeng, Z., Yamazaki, D., Wood, E.F. (2020): Global estimates of reach-level bankfull river width leveraging big-data geospatial analysis, Geophysical Research Letters. 47 (7), e2019GL086405. 

20.     Lin, P., ZL Yang, J. Wei, RE Dickinson, Y. Zhang, L. Zhao (2020): Assimilating multi-satellite snow data in ungauged Eurasia improves the simulation accuracy of Asian monsoon seasonal anomalies. Environmental Research Letters. 15 (6), 064033. [Media report at ScienceDaily]

21.     Brinkerhoff, C., C. Gleason, D. Feng, P. Lin (2020): Constraining Remote River Discharge Estimation Using Reach-Scale Geomorphology. Water Resources Research. 56 (11), e2020WR027949. https://doi.org/10.1029/2020WR027949

22.     Zheng, H., Z.-L. Yang, P. Lin, W. Wu, L. Li, Z. Xu, J. Wei, L. Zhao, Q. Bian, S. Wang (2020): Falsification-oriented signature-based evaluation for guiding development of land surface models and the enhancement of observations. Journal of Advances in Modeling Earth Systems. 12 (12), e2020MS002132.

23.     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. 587, 124902, https://doi.org/10.1016/j.jhydrol.2020.124902.

24.     Liu, X., Y. Huang, X. Xu, X. Li, X. Li, P. Ciais, P. Lin, K. Gong, A. Ziegler, A. Chen, P. Gong, J. Chen, G. Hu, Y. Chen, S. Wang, Q. Wu, K. Huang, L. Estes, Z. Zeng (2020): High spatiotemporal resolution mapping of global urban change from 1985 to 2015. Nature Sustainability. 3, 564–570 (2020). https://doi.org/10.1038/s41893-020-0521-x.

25.     Yu, S., H. X. Do, A. I. J. M. van Dijk, N. R. Bond, P. Lin, M. J. Kennard (2020): Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow variability throughout stream networks. Hydrol. Earth Syst. Sci., 24, 5279–5295.

26.     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. 37, 679–695.

27.     Tirthankar, R., X. He, P. Lin, H.E. Beck. E.F. Wood (2020): Global evaluation of seasonal precipitation and temperature forecast from NMME. J. Hydromet. 21 (11), 2473-2486.

28.     Beck, H.E., M. Pan, P. Lin, E.F. Wood (2020): Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments. JGR-Atmosphere, 125 (17), e2019JD031485. [Top 10 Most Downloaded Articles in 2019]

29.     Wu, J., V. Lakshmi, D. Wang, P. Lin, M. Pan, X. Cai, E.F. Wood, Z. Zeng (2020): Reliability of global remote sensing evapotranspiration products over Amazon. Remote Sensing. 12(14), 2211.

30.     Li, L., She, S., Zheng, H., P. Lin, Yang, ZL (2020): Elucidating diverse drought characteristics from two meteorological drought indices in China. J. Hydromet. 21 (7), 1513-1530.

2019

31.     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. 55 (8), 6499-6516. [Editors’ Choice Award, to 1% of 2019 WRR articles; Eos Editor’s Highlights; Top 10 Most Downloaded Articles in 2019]

32.     Yang, Y, P. Lin, C.K. Fisher, M. Turmon, J. Hobbs, C.M. Emery, J.T. Reager, C.H. David, H. Lu, K. Yang, Y. Hong, E. Wood, M. Pan,  (2021): Enhancing the SWOT discharge interpolation through spatiotemporal correlations. Remote Sensing of Environment. 234, 111450.

33.     Liu, Y., Yang, Z.-L., Lin, P., Zheng, Z., Xie, S. (2019): Comparison & evaluation of multiple land surface products for water budget in the Yellow River Basin. Journal of Hydrology. 584, 124534.

34.     Zheng, H., Z.-L. Yang, P. Lin, et al. (2019): On the sensitivity of precipitation partition into evapotranspiration and runoff in land surface parameterizations. 55 (1), 95-111. Water Resources Research. [10% Top Downloaded Articles in 2019]

35.     Liang, J., Z.-L. Yang, P. Lin (2019): Systematic hydrological evaluation of the Noah-MP land surface model over China. Advances in Atmospheric Sciences. 36, 1171-1187.

Prior to 2018 (graduate student)

36.     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. 19 (8), 1339-1361.

37.     Lin P., Z.-L. Yang, D. Gochis, Y. Wei, D.R. Maidment, M.A.S.-Valenzuela, C.H. David (2018): Implementation of a vector-based river routing model in the community WRF-Hydro system for flood discharge simulation. Environmental Modelling & Software. 107, 1-11.

38.     Lin, P., M. Rajib, Z.-L. Yang, M.A.S.-Valenzuela, V. Merwade, D.R. Maidment, Y. Wang, L. Chen (2018): Spatio-temporal evaluation of simulated ET and streamflow over Texas using the WRF-Hydro-RAPID framework. Journal of the American Water Resource Association. 54(1), 40-54.

39.     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. 9 (9), 900.

40.     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. 43 (21), 11, 423-11, 432. [Media report at several news outlets, e.g., Phys.org, ScienceDaily]

41.     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. 4B, 661-674.

2012 (undergraduate student)

42.     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 2012: 4841 – 4844.

 

Edited technical reports:

43.     Maidment, D.R., A.D. Rajib, P. Lin, E.P. Clark (Editors), 2016: 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.

Work in-progress:

Lin, P., D. Feng, C. Gleason, M. Pan, C. Brinkerhoff, H. Beck: Generalizability in remote sensing of discharge inversion algorithms: lessons learnt from assessing BAM/geoBAM at three thousand global gauges with dacdes with Landsat observations (in revision, RSE)